system

Abstract

We provide the system. [Solution] A means for inputting the configuration diagram of the physical layer, A means for analyzing the input physical layer configuration diagram and extracting physical elements, A means for generating a data link layer configuration diagram based on extracted physical elements, A means for generating a network layer configuration diagram based on a data link layer configuration diagram, A means for generating a transport layer configuration diagram based on a network layer configuration diagram, A means for generating an application layer configuration diagram based on a transport layer configuration diagram, A means to integrate the generated diagrams of each layer and output them as a complete logical diagram, A system that includes this.

Description

Technical Field

[0001] The technology of the present disclosure relates to a system.

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In a telecommunications carrier, the work of designing and constructing a logical configuration diagram including an application layer from a configuration diagram representing a physical layer is very time-consuming and labor-intensive. In particular, in an era when network evolution is required, since the format of a unified configuration diagram has not been determined among various departments, there is a problem that the time required for design and logical construction further increases. As a result, the efficiency of network design and construction decreases, and it also has an adverse effect on the progress of business.

Means for Solving the Problems

[0005] The present invention solves the above problems by using the following means. Specifically, the invention provides a system that includes means for inputting a physical layer configuration diagram, means for analyzing the input physical layer configuration diagram and extracting physical elements, means for generating a data link layer configuration diagram based on the extracted physical elements, means for generating a network layer configuration diagram based on the data link layer configuration diagram, means for generating a transport layer configuration diagram based on the network layer configuration diagram, means for generating an application layer configuration diagram based on the transport layer configuration diagram, and means for integrating the generated configuration diagrams of each layer and outputting them as a complete logical configuration diagram. This system makes it possible to perform error checking and data format verification and provide a logical configuration diagram output according to the format of each department.

[0006] Furthermore, this system improves the efficiency of design and construction by automatically generating network configuration diagrams, enabling telecommunications carriers to quickly adapt to network evolution.

[0007] A "physical layer configuration diagram" is a diagram that shows the physical network devices and their connections, and includes information such as switches, routers, and cables.

[0008] "Means of input" refer to methods or devices for inputting the physical layer configuration diagram into the system, such as file upload functions.

[0009] "Means for analysis and extraction of physical elements" refers to methods and devices for identifying devices and connection information from the input physical layer configuration diagram and extracting the necessary elements.

[0010] "Means for generating a data link layer configuration diagram" refers to a method or apparatus that automatically creates a data link layer configuration diagram (including communication links and MAC addresses between each device) based on extracted physical elements.

[0011] "Means for generating a network layer configuration diagram" refers to methods or devices that automatically create a network layer configuration diagram from a data link layer configuration diagram, based on IP addresses and routing information.

[0012] "Means for generating a transport layer configuration diagram" refers to methods or devices that automatically create a transport layer configuration diagram from a network layer configuration diagram, based on communication protocols and port numbers.

[0013] "Means for generating an application layer configuration diagram" refers to a method or device that automatically creates an application layer configuration diagram by adding configuration information for a specific application (e.g., a web server or mail server) based on the transport layer configuration diagram.

[0014] "Means of outputting as a complete logical diagram" refers to methods or devices for integrating the diagrams of each layer and outputting them in a format that is easy for the user to understand.

[0015] "Means for providing logical diagrams output according to departmental formats" refers to methods and devices for outputting and providing generated logical diagrams in a format that meets the needs and requirements of each department.

[0016] "Means for error checking and data format verification" refers to methods and devices for verifying whether the input data is in the correct format and checking for errors. [Brief explanation of the drawing]

[0017] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4]It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Embodiments for Carrying Out the Invention

[0018] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described according to the accompanying drawings.

[0019] First, the terms used in the following description will be explained.

[0020] In the following embodiments, the signed processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Furthermore, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), and APU (Accelerated Processing Unit).

[0021] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0022] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0023] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0024] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0025] [First Embodiment]

[0026] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0027] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0028] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0029] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0030] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0031] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0032] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0033] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0035] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0036] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0037] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0038] This invention relates to a system for telecommunications carriers to automatically generate a configuration diagram ranging from a physical layer diagram to a logical configuration diagram that includes the application layer. This system significantly reduces the time and effort required for network design and construction, enabling efficient operation.

[0039] Program Overview

[0040] This system has the following main functions:

[0041] 1. Input the physical layer configuration diagram.

[0042] 2. Analyze the input physical layer configuration diagram and extract the physical elements.

[0043] 3. Generate a diagram of the data link layer configuration based on the extracted physical elements.

[0044] 4. Generate a network layer configuration diagram based on the data link layer configuration diagram.

[0045] 5. Generate a transport layer configuration diagram based on the network layer configuration diagram.

[0046] 6. Generate an application layer configuration diagram based on the transport layer configuration diagram.

[0047] 7. Integrate the generated diagrams for each layer and output them as a complete logical diagram.

[0048] 8. Provide the generated logical configuration diagram according to the format of each department.

[0049] Program processing

[0050] Input for the physical layer configuration diagram

[0051] The user uploads a configuration diagram representing the physical layer to the server. This diagram can be in formats such as JSON or XML and includes information about switches, routers, cables, etc.

[0052] Specific example: A user uploads a physical layer configuration diagram of their office network as a JSON file. The diagram includes components such as switch A, router B, and cable C.

[0053] Data analysis and extraction

[0054] The server analyzes the uploaded configuration diagram data and extracts physical elements (switches, routers, cables, etc.). Error checking and data format verification are also performed during this process.

[0055] Specific example: The server reads a JSON file, parses information about each device based on the schema, and extracts physical elements such as switch A, router B, and cable C.

[0056] Generation of diagrams for each layer

[0057] Based on the extracted physical elements, the server first generates a configuration diagram for the data link layer, and then sequentially generates configuration diagrams for the network layer, transport layer, and application layer.

[0058] Specific example: The server creates a data link layer configuration diagram based on the extracted MAC address and port information of switch A. Next, it creates a network layer configuration diagram using the IP address information of router B, and then generates a transport layer configuration diagram based on the TCP port information of web server C.

[0059] Integration and output of complete logical diagrams

[0060] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. The output is in a format such as PDF, and is provided in a format conforming to the specific format of each department as needed.

[0061] Specific example: The server integrates information from the data link layer, network layer, transport layer, and application layer, and outputs it as a single logical configuration diagram in PDF format.

[0062] Error checking and formatting for each department.

[0063] The server performs error checking and data format verification on the input data. It can also provide the generated logical configuration diagram in a format tailored to the needs of each department.

[0064] Specific example: The server checks for format errors during data analysis and provides feedback to the user if errors are found. The generated configuration diagram is provided in two formats: a simplified version for the sales department and a detailed version for the technical department.

[0065] In this way, the present invention provides a means for efficiently and accurately designing and constructing complex networks, enabling telecommunications carriers to quickly respond to network evolution.

[0066] The following describes the processing flow.

[0067] Step 1:

[0068] The user uploads a physical layer configuration diagram file to the server. The configuration diagram file contains information about network devices (switches, routers, cables, etc.) in JSON or XML format.

[0069] Step 2:

[0070] The server receives the uploaded file and begins analyzing the data. First, it checks if the file format is correct and verifies the integrity of the elements.

[0071] Step 3:

[0072] The server extracts physical elements (switches, routers, cables, etc.) from the file. At this time, it identifies the role and connection information of each device and stores it in a database.

[0073] Step 4:

[0074] The server generates a data link layer configuration diagram based on the extracted physical elements. For example, it collects MAC addresses and connected device information for each port of a switch and creates a link map.

[0075] Step 5:

[0076] The server generates a network layer configuration diagram based on the data link layer configuration diagram. It obtains IP addresses and subnet information from the router and forms the network topology.

[0077] Step 6:

[0078] The server generates a transport layer configuration diagram based on the network layer configuration diagram. Here, the communication protocol and port number (TCP / UDP) for each device are configured.

[0079] Step 7:

[0080] The server generates an application layer configuration diagram based on the transport layer configuration diagram. Configuration information for each server and service (Web, email, FTP, etc.) is added to complete the application map.

[0081] Step 8:

[0082] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. This diagram is saved in PDF or other formats.

[0083] Step 9:

[0084] The server provides logical configuration diagrams output according to the format specific to each department. It generates simplified configuration diagrams for the sales department and detailed configuration diagrams for the technical department.

[0085] Step 10:

[0086] The server provides the user with a generated configuration diagram. The user can then review it and use it for their work or projects.

[0087] (Example 1)

[0088] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0089] Traditional network design and construction processes heavily rely on manual drawing and data entry, requiring considerable time and effort. Furthermore, outputting data in the appropriate format to meet the needs of each department is difficult, and inadequate error checking makes design errors more likely. This makes it challenging for telecommunications carriers to build and operate networks quickly and efficiently.

[0090] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0091] In this invention, the server includes means for inputting a physical layer configuration diagram, means for analyzing the input physical layer configuration diagram and extracting physical elements, and means for generating a data link layer configuration diagram based on the extracted physical elements. This reduces manual time and effort, automates error checking and data format verification, and enables the generation of accurate configuration diagrams. Furthermore, the generated logical configuration diagrams can be output in a format appropriate for each department, supporting rapid network design and efficient operation.

[0092] A "physical layer configuration diagram" is a diagram that shows the physical connection status of a network, detailing the placement and connection relationships of physical network devices (switches, routers, cables, etc.).

[0093] "Input" refers to the act of inputting data into a system, and in this invention, it refers to the act of uploading a diagram of the physical layer configuration to the system.

[0094] "Analysis" is the process of examining given information in detail to clarify its constituent elements and state. In this invention, it is the process of examining the configuration diagram of the physical layer in detail to identify and extract the physical elements.

[0095] "Physical elements" refer to the physical devices that make up a network configuration (switches, routers, cables, etc.) and their connection status.

[0096] A "data link layer configuration diagram" is a diagram that shows the communication relationships of the second layer (data link layer) of the OSI reference model, illustrating in detail the communication between devices using MAC addresses and other methods.

[0097] A "network layer configuration diagram" is a diagram that shows the communication relationships of the third layer (network layer) of the OSI reference model, and provides a detailed explanation of communication paths using IP addresses.

[0098] A "transport layer configuration diagram" is a diagram that shows the communication relationships of the fourth layer (transport layer) of the OSI reference model, and it shows the details of the communication, including TCP and UDP port information for each device.

[0099] An "application layer configuration diagram" is a diagram that shows the communication relationships of the 7th layer (application layer) of the OSI reference model, and provides a detailed explanation of the communication of application protocols and services.

[0100] A "logical configuration diagram" is a diagram that shows the logical connection state of the entire network, generated by integrating the configuration diagrams of each layer, and contains all the information necessary to understand how the network operates.

[0101] "Error checking" is the process of verifying the integrity and format accuracy of data, and is a process for detecting inconsistencies and errors.

[0102] "A format tailored to the needs of each department" means a format customized according to the level of detail and format required by different departments (for example, the sales department or the technical department).

[0103] This invention relates to a system for telecommunications carriers to automatically generate logical configuration diagrams from physical layer configuration diagrams. This system significantly reduces the time and effort required for network design and construction, enabling efficient operation.

[0104] System Overview

[0105] This system uses the following main hardware and software components.

[0106] Server: A high-performance data processing server. This server is central to managing everything from data analysis and diagram generation to error checking and final output.

[0107] Device: The PC or tablet used by the user to access the system. The interface is provided through a web browser or a dedicated application.

[0108] Software tools include a Structure Analysis Module, a Layer Generation Engine for generating diagrams of each layer, an Integration Module, and an Output Module.

[0109] System operation

[0110] 1. Input for the physical layer configuration diagram:

[0111] Users upload a diagram of the physical layer configuration to the server in JSON or XML format using a web browser.

[0112] Specific example: A user uploads a physical layer configuration diagram of their office network as a JSON file. The diagram includes components such as switch A, router B, and cable C.

[0113] 2. Data analysis and extraction of physical elements:

[0114] Upon receiving the uploaded configuration diagram, the server uses the Structure Analysis Module to verify and analyze the data format. Physical elements such as switches, routers, and cables are then extracted.

[0115] Specific example: The server reads a JSON file, parses information about each device based on the schema, and extracts physical elements such as switch A, router B, and cable C.

[0116] 3. Generating a diagram of the structure of each layer:

[0117] The server generates configuration diagrams for each layer based on the extracted physical elements. These are created in the following order: data link layer, network layer, transport layer, and application layer.

[0118] Specific example: The server generates a data link layer configuration diagram based on the MAC address and port information of switch A, then generates a network layer configuration diagram based on the IP address information of router B, and finally generates a transport layer configuration diagram based on the TCP port information of web server C.

[0119] 4. Integration of the complete logical diagram:

[0120] The server uses the Layer Generation Engine and Integration Module to integrate the configuration diagrams of each layer and output them as a complete logical configuration diagram.

[0121] Specific example: The server integrates information from the data link layer, network layer, transport layer, and application layer, and outputs it as a single logical configuration diagram in PDF format.

[0122] 5. Output and format support:

[0123] The server provides the generated logical configuration diagrams in a format tailored to the needs of each department. It also includes error checking and feedback functions.

[0124] Specific example: The server is provided in two formats: a simplified version for the sales department and a detailed version for the technical department.

[0125] Examples of specific prompt messages

[0126] "Please upload the physical layer diagram of your office network and generate the logical configuration diagram."

[0127] "Please parse this JSON file and create a diagram showing the architecture from the data link layer to the application layer."

[0128] In this way, this system enables telecommunications carriers to design and build networks quickly and efficiently.

[0129] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0130] Step 1:

[0131] Upload physical layer configuration diagram

[0132] The user uploads a physical layer configuration diagram to the server. The interface is provided via a web browser or a dedicated application, and the input is a file in JSON or XML format. When the user uploads this file to the system, the data of the physical layer configuration diagram is sent to the server.

[0133] Specific operation: The user clicks the upload button in the web browser interface and sends a selected JSON file from their local disk to the server.

[0134] Step 2:

[0135] Data analysis and extraction of physical elements

[0136] The server receives the uploaded configuration diagram and analyzes the data using the Structure Analysis Module. It also verifies the data format and extracts the physical elements (switches, routers, cables, etc.) described in the configuration diagram.

[0137] Input: Physical layer configuration file in JSON or XML format received by the server

[0138] Output: A list of extracted physical elements (e.g., Switch A, Router B, Cable C)

[0139] Specific operation: The server reads the file using a JSON parser, analyzes the device information based on the schema, and identifies and extracts each physical element.

[0140] Step 3:

[0141] Generating a diagram of the data link layer

[0142] The server generates a data link layer configuration diagram based on the extracted physical elements. Using the Layer Generation Engine, it combines the MAC addresses and port information of the physical devices to create a configuration diagram showing the connectivity relationships of the data link layer.

[0143] Input: Extracted physical elements (e.g., MAC address of switch A, port information of router B, etc.)

[0144] Output: Data link layer configuration diagram

[0145] Specific operation: The server uses the MAC address and port information of switch A to identify data links between network devices and generate a configuration diagram.

[0146] Step 4:

[0147] Generating a Network Layer Configuration Diagram

[0148] The server generates a network layer configuration diagram based on the data link layer configuration diagram. Based on the IP address information of the network devices, it creates a configuration diagram showing the IP communication paths between each device.

[0149] Input: Data link layer configuration diagram, IP address information of network devices

[0150] Output: Network layer configuration diagram

[0151] Specific operation: The server uses the IP address information of router B to identify IP routing between devices and generates a network layer configuration diagram.

[0152] Step 5:

[0153] Generating a diagram of the transport layer

[0154] The server generates a transport layer configuration diagram based on the network layer configuration diagram. It creates a configuration diagram showing the communication paths of the transport protocol based on the TCP / UDP port information of each device.

[0155] Input: Network layer configuration diagram, TCP / UDP port information of the device.

[0156] Output: Transport layer configuration diagram

[0157] Specific operation: The server uses TCP port information from Web server C, etc., to identify TCP / UDP communication between devices and generate a transport layer configuration diagram.

[0158] Step 6:

[0159] Generating an application layer configuration diagram

[0160] The server generates an application layer configuration diagram based on the transport layer configuration diagram. Based on the protocol and service information of each application, it creates a configuration diagram showing the communication paths between applications.

[0161] Input: Transport layer configuration diagram, application protocol information

[0162] Output: Application layer configuration diagram

[0163] Specific operation: The server uses the protocol information of each application to identify the communication paths between applications and generates a configuration diagram.

[0164] Step 7:

[0165] Integration of complete logical diagrams

[0166] The server integrates the generated diagrams for each layer to create a complete logical diagram. It outputs this diagram as a single, unified document, while maintaining the relationships between each layer.

[0167] Input: Configuration diagrams for each layer (data link layer, network layer, transport layer, application layer)

[0168] Output: Complete logical diagram

[0169] Specific operation: The server uses the Integration Module to properly integrate information from each layer and generate a complete logical configuration diagram in PDF format.

[0170] Step 8:

[0171] Output and format support

[0172] The server provides the completed logical configuration diagram in a format tailored to the needs of each department. It also includes functions for error checking and format verification, and provides feedback to the user.

[0173] Input: Complete logical diagram

[0174] Output: Logical diagrams in a format specific to each department, and error check results.

[0175] Specific operation: The server uses the Output Module to convert the logical configuration diagram into a simplified version for the sales department and a detailed version for the technical department, providing them in a format suitable for each department. It also notifies the user of the error check results via email.

[0176] (Application Example 1)

[0177] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0178] Traditional network design and security diagnostic systems require time and effort to design each layer of the network diagram individually, making it difficult to centrally assess the security risks of the entire system. Furthermore, security risk diagnosis and report generation are not automated, resulting in manual effort. Additionally, generated diagrams and reports are often not provided in departmental formats, hindering smooth information sharing between departments.

[0179] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0180] In this invention, the server includes means for inputting a physical layer configuration diagram, means for analyzing the input physical layer configuration diagram and extracting physical elements, means for generating a data link layer configuration diagram based on the extracted physical elements, means for generating a network layer configuration diagram based on the data link layer configuration diagram, means for generating a transport layer configuration diagram based on the network layer configuration diagram, means for generating an application layer configuration diagram based on the transport layer configuration diagram, means for identifying security risks based on the configuration diagrams of each layer, means for generating a security report based on the identified security risks, and means for integrating the generated configuration diagrams and security reports of each layer and outputting them as a complete logical configuration diagram. This enables efficient network design and security diagnostics, and allows for the provision of configuration diagrams and security reports in formats specific to each department.

[0181] A "physical layer configuration diagram" is a diagram that shows the hardware elements of a network (switches, routers, cables, etc.) and their connection information.

[0182] "Analysis" is the process of deciphering input data and extracting its meaning and elements.

[0183] "Physical elements" refer to the actual hardware devices, cables, and other physical components that make up a network.

[0184] A "data link layer configuration diagram" is a diagram of the layer within a network model that manages physical connections and transmits data frames.

[0185] A "network layer configuration diagram" is a diagram of the layers that manage the transfer and routing of data between different networks.

[0186] A "transport layer configuration diagram" is a diagram of the layers that provide control and reliability for end-to-end data transmission.

[0187] An "application layer configuration diagram" is a diagram of the layers that define the operation of applications and services running on a network.

[0188] "Security risk" refers to elements or vulnerabilities that could potentially lead to threats or attacks against a network or system.

[0189] A "security report" is a document that describes detailed analysis results and countermeasures for identified security risks.

[0190] "Integration" is the process of combining individually generated diagrams and reports into a single, cohesive form.

[0191] "Departmental formats" refer to guidelines for creating documents and drawings according to the specific formats and specifications required by each department.

[0192] This invention relates to a system that automatically identifies security risks based on a corporate network configuration diagram and generates an integrated security report. This system enables efficient network design and security assessment, and allows for the provision of configuration diagrams and security reports in formats specific to each department.

[0193] Hardware and software to be used

[0194] hardware

[0195] Server: A computer system used for data analysis and the integration of generated configuration diagrams and reports.

[0196] Terminal: A device that provides a user interface for network administrators to upload configuration diagrams and receive the results.

[0197] software

[0198] Python Library: A programming language library for data analysis, network diagram generation, and security assessments.

[0199] JSON: Analysis of the input network configuration diagram.

[0200] XML: Analysis of the input network configuration diagram.

[0201] networkx: Generates configuration diagrams for the data link layer, network layer, transport layer, and application layer.

[0202] bandit: Security risk identification.

[0203] ReportLab: Outputs the generated report as a PDF.

[0204] Specific steps of the process

[0205] 1. Input for the physical layer configuration diagram

[0206] Users upload network configuration diagrams to the server in JSON or XML format. This defines the physical elements (switches, routers, cables, etc.).

[0207] 2. Data Analysis and Extraction

[0208] The server analyzes the input configuration diagram and extracts the physical elements. This process utilizes JSON and XML libraries.

[0209] 3. Generating a diagram of the structure of each layer

[0210] Based on the extracted physical elements, the server uses the networkx library to generate configuration diagrams for the data link layer, network layer, transport layer, and application layer.

[0211] 4. Security assessment

[0212] Based on the generated configuration diagrams for each layer, the server identifies security risks using security tools such as Bandit.

[0213] 5. Generating a security report

[0214] The server generates a detailed security report based on the identified security risks and outputs it in PDF format using the ReportLab library.

[0215] 6. Output and Provision

[0216] The server integrates the generated configuration diagrams and security reports for each layer and provides them to the user. The output reports are customized according to the format of each department.

[0217] Specific example

[0218] Here's an example of how a company's IT department might use this system. A network administrator uploads a corporate network configuration diagram to the system in JSON file format. The system analyzes the diagram and extracts physical elements such as switches, routers, and cables. It then generates configuration diagrams for the data link layer, network layer, transport layer, and application layer. Next, a security assessment is performed based on each layer's diagram to identify security risks. Finally, a security report containing the identified risks is generated in PDF format and provided to the IT department and other relevant departments.

[0219] Example of a prompt

[0220] Develop an enterprise-grade network security diagnostic application. Please follow these steps:

[0221] 1. Receive a network configuration diagram in JSON or XML format as input.

[0222] 2. Analyze the configuration diagram and extract the physical elements (switches, routers, cables, etc.).

[0223] 3. Based on the extracted elements, generate configuration diagrams for the data link layer, network layer, transport layer, and application layer.

[0224] 4. Based on the configuration diagrams of each layer, identify security risks and generate diagnostic results.

[0225] 5. Integrate the diagnostic results and output a complete security report in PDF or HTML format.

[0226] Libraries to use:

[0227] Python's JSON or XML library

[0228] NetworkX

[0229] OWASP tools, Bandit

[0230] ReportLab

[0231] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0232] Step 1:

[0233] The user uploads a network configuration diagram to the server. The input is a network configuration diagram in JSON or XML format. This diagram includes information on physical elements such as switches, routers, and cables.

[0234] Step 2:

[0235] The server parses the input configuration diagram. This parsing uses a JSON or XML library to read the configuration diagram and extract the physical elements (switches, routers, cables). The input is the configuration diagram data, and the output is a list of physical elements.

[0236] Step 3:

[0237] The server generates a data link layer configuration diagram based on the extracted physical elements. This process uses the networkx library to convert the connection information of each element into a graph structure for the data link layer. The input is a list of physical elements, and the output is a data link layer configuration diagram.

[0238] Step 4:

[0239] The server generates a network layer configuration diagram based on the data link layer configuration diagram. Using the networkx library, it considers IP addresses and routing information to create a graph structure for the network layer. The input is the data link layer configuration diagram, and the output is the network layer configuration diagram.

[0240] Step 5:

[0241] The server generates a transport layer configuration diagram based on the network layer configuration diagram. It uses the configuration information from the data link layer and network layer to add the necessary port information and communication protocols to the transport layer configuration diagram. The input is the network layer configuration diagram, and the output is the transport layer configuration diagram.

[0242] Step 6:

[0243] The server generates an application layer configuration diagram based on the transport layer configuration diagram. It creates the application layer configuration diagram based on service and protocol information related to the application layer. The input is the transport layer configuration diagram, and the output is the application layer configuration diagram.

[0244] Step 7:

[0245] The server identifies security risks based on the configuration diagrams of each layer. Security diagnostic tools such as Bandit are used to analyze the security risks hidden within the configuration diagrams. The input is the complete configuration diagram up to the application layer, and the output is a list of identified security risks.

[0246] Step 8:

[0247] The server generates a detailed security report based on the identified security risks. Using the ReportLab library, it outputs a report in PDF format detailing each risk and its countermeasures. The input is a list of security risks, and the output is a security report in PDF format.

[0248] Step 9:

[0249] The server integrates the generated configuration diagrams and security reports for each layer and provides them to the user. The output is customized according to departmental formats and is output in a way that meets the specific requirements of each department. The input is the configuration diagrams and security reports for each layer, and the output is a formatted, integrated configuration diagram and report.

[0250] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0251] This invention combines a system that automatically generates a logical configuration diagram including the application layer from a configuration diagram representing the physical layer with an emotion engine that recognizes user emotions. This system provides support for telecommunications carriers to design and build networks quickly and efficiently.

[0252] Program Overview

[0253] This system has the following main functions:

[0254] 1. A means of inputting the configuration diagram of the physical layer.

[0255] 2. A means for analyzing the configuration diagram of the input physical layer and extracting the physical elements.

[0256] 3. A means for generating a data link layer configuration diagram based on extracted physical elements.

[0257] 4. A means for generating a network layer configuration diagram based on a data link layer configuration diagram.

[0258] 5. A means for generating a transport layer configuration diagram based on a network layer configuration diagram.

[0259] 6. A means for generating an application layer configuration diagram based on a transport layer configuration diagram.

[0260] 7. A means of integrating the generated configuration diagrams for each layer and outputting them as a complete logical configuration diagram.

[0261] 8. Means for providing a logical configuration diagram output according to the format of each department.

[0262] 9. An emotion engine that recognizes the user's emotions.

[0263] 10. A means of suggesting the optimal configuration diagram format based on recognized user emotions.

[0264] 11. A means of automatically sending support notifications when the recognized user's emotions meet certain criteria.

[0265] Program processing

[0266] Input for the physical layer configuration diagram

[0267] The user uploads a configuration diagram file representing the physical layer to the server. The configuration diagram file contains information about network devices (switches, routers, cables, etc.) in JSON or XML format.

[0268] Specific example: A user uploads a physical layer configuration diagram of their office network as a JSON file. The diagram includes components such as switch A, router B, and cable C.

[0269] Data analysis and extraction

[0270] The server receives the uploaded file and begins analyzing the data. It verifies that the file format is correct and checks the integrity of the elements. It also performs error checking and verifies the data format.

[0271] Specific example: The server reads a JSON file, parses information about each device based on the schema, and extracts physical elements such as switch A, router B, and cable C.

[0272] Generation of diagrams for each layer

[0273] Based on the extracted physical elements, the server first generates a configuration diagram for the data link layer, and then sequentially generates configuration diagrams for the network layer, transport layer, and application layer.

[0274] Specific example: The server creates a data link layer configuration diagram based on the extracted MAC address and port information of switch A. Next, it creates a network layer configuration diagram using the IP address information of router B, and then generates a transport layer configuration diagram based on the TCP port information of web server C. Finally, it generates an application layer configuration diagram based on the configuration information of each application (e.g., web server and mail server).

[0275] Integration and output of complete logical diagrams

[0276] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. This diagram is saved in PDF or other formats and provided in different formats for each department as needed.

[0277] Specific example: The server outputs a complete logical configuration diagram in PDF format, integrating information from the data link layer, network layer, transport layer, and application layer. A simplified configuration diagram is generated and provided to the sales department, while a detailed configuration diagram is provided to the technical department.

[0278] Recognizing and responding to user emotions

[0279] The server uses an emotion engine to recognize the user's emotions based on the user's operations and inputs. According to the recognized emotion information, it generates the optimal configuration diagram format within the system and proposes it to the user. Also, when the user feels a certain amount of stress or confusion, it automatically sends a support notification.

[0280] Specific example: When the server detects stress, such as the user repeating the same operation many times, it automatically displays a simplified operation guide and a support chatbot. Furthermore, when the user's emotion is positive, it meets the user's expectations by proposing a detailed configuration diagram format.

[0281] In this way, the present invention provides a means for efficiently and accurately performing complex network design and construction, and by recognizing and responding to the user's emotions, it becomes possible to improve the user experience.

[0282] The processing flow will be described below.

[0283] Step 1:

[0284] The user uploads a configuration diagram file of the physical layer to the server. The configuration diagram file contains information on network devices (such as switches, routers, cables, etc.) in JSON or XML format.

[0285] Step 2:

[0286] The server receives the uploaded file and starts analyzing the data. It checks whether the file format is correct, verifies the integrity of the elements, and also performs error checking and data format verification.

[0287] Step 3:

[0288] The server extracts physical elements (such as switches, routers, cables, etc.) from the file. At this time, it identifies the roles and connection information of each device and stores them in the database.

[0289] Step 4:

[0290] The server generates a data link layer configuration diagram based on the extracted physical elements. For example, it collects MAC addresses and connected device information for each port of a switch and creates a link map.

[0291] Step 5:

[0292] The server generates a network layer configuration diagram based on the data link layer configuration diagram. It obtains IP addresses and subnet information from the router and forms the network topology.

[0293] Step 6:

[0294] The server generates a transport layer configuration diagram based on the network layer configuration diagram. Here, the communication protocol and port number (TCP / UDP) for each device are configured.

[0295] Step 7:

[0296] The server generates an application layer configuration diagram based on the transport layer configuration diagram. Configuration information for each server and service (Web, email, FTP, etc.) is added to complete the application map.

[0297] Step 8:

[0298] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. This diagram is saved in PDF or other formats.

[0299] Step 9:

[0300] The server provides logical configuration diagrams output according to the format specific to each department. It generates simplified configuration diagrams for the sales department and detailed configuration diagrams for the technical department.

[0301] Step 10:

[0302] Based on the user's operations and inputs, the server uses an emotion engine to recognize the user's emotions. This involves inferring emotions from, for example, the operation speed, frequency of a keyboard or mouse, and the number of input errors.

[0303] Step 11:

[0304] Based on the recognized emotions of the user, the server proposes an optimal configuration diagram format. If the emotion is positive, it provides a detailed configuration diagram; if negative, it provides a simplified configuration diagram.

[0305] Step 12:

[0306] When the user's emotions meet certain criteria (e.g., when high stress or confusion is detected), the server automatically sends a support notification. This notification includes alerts to the technical support team and the display of help guides.

[0307] Step 13:

[0308] When a specific emotional state persists, the server provides interactive support options to the user. For example, it presents a live chat function or links to video tutorials.

[0309] (Example 2)

[0310] Next, Example 2 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart device 14 is referred to as the "terminal".

[0311] Manually creating configuration diagrams for each layer, from the physical layer to the application layer, in network design and construction is extremely time-consuming and labor-intensive. Furthermore, there is a lack of appropriate formats that consider the user's emotional state, as well as adequate support for the stress and confusion users may experience. This results in challenges such as decreased design efficiency and a decline in the quality of the user experience.

[0312] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0313] In this invention, the server includes means for inputting a physical layer configuration diagram, means for analyzing the input physical layer configuration diagram and extracting physical elements, means for generating a data link layer configuration diagram based on the extracted physical elements, means for generating a network layer configuration diagram based on the data link layer configuration diagram, means for generating a transport layer configuration diagram based on the network layer configuration diagram, means for generating an application layer configuration diagram based on the transport layer configuration diagram, means for integrating the generated configuration diagrams of each layer and outputting them as a complete logical configuration diagram, an emotion engine for recognizing the user's emotions, means for proposing an optimal configuration diagram format based on the recognized user emotions, and means for providing support notifications when the user's emotions meet the criteria. This makes it possible to automatically and efficiently generate configuration diagrams for each layer and provide support according to the user's emotional state.

[0314] A "physical layer configuration diagram" is a diagram that illustrates the physical elements of a network (e.g., cables, switches, routers, etc.) and shows their connection status.

[0315] The "data link layer" is a layer located above the physical layer in a network model, and it manages data transfer between directly connected devices.

[0316] The "network layer" is the layer that enables data transfer between different networks, and it is primarily the layer that routes data using IP addresses.

[0317] The "transport layer" is the layer responsible for establishing, managing, and terminating communication sessions, as well as ensuring data reliability and controlling traffic flow.

[0318] The "application layer" is the highest layer on which application software directly used by end users operates, and it is the layer that provides specific services (e.g., email, file transfer, web access, etc.).

[0319] An "emotion engine" is an algorithm or system that analyzes user input and actions to estimate the user's emotional state at that time.

[0320] A "configuration diagram format" is a display format for configuration diagrams that is created to suit a specific purpose or department.

[0321] A "support notification" is a notification that is sent to provide appropriate assistance to users when they are experiencing difficulties or confusion.

[0322] This invention combines a system that automatically generates logical configuration diagrams from the physical layer to the application layer with an emotion engine that recognizes user emotions. This system provides support for telecommunications carriers and others to quickly and efficiently design and build networks. The following describes in detail the embodiments for which this invention is specifically implemented.

[0323] Hardware and software configuration

[0324] Users use a device (e.g., a PC or tablet) to upload a configuration diagram file representing the physical layer to the server. This device has a web browser and an FTP client installed, enabling file uploads.

[0325] The server analyzes the uploaded files and generates a diagram of each layer's structure. The following software is installed on the server:

[0326] 1. JSON parser

[0327] 2. Network Topology Engine

[0328] 3. Emotion Recognition Engine

[0329] 4. PDF generation software

[0330] The server also uses machine learning models (e.g., generative AI models) to recognize the user's emotional state and provide configuration diagrams and support notifications in the appropriate format.

[0331] Program processing

[0332] The user uploads a physical layer configuration diagram file to the server. The file contains information about network devices (switches, routers, cables, etc.) in JSON or XML format.

[0333] The server receives the uploaded file and begins parsing the data using a JSON parser. It verifies that the file format is correct and checks the integrity of each element. It also performs error checking and verifies the data format.

[0334] Next, the server generates a configuration diagram of the data link layer based on the extracted physical elements. This is done by generating a graph of the physical connectivity using a network topology engine. Subsequently, configuration diagrams for the network layer, transport layer, and application layer are generated sequentially. For example, the configuration diagrams for each layer are created using the router's IP address information and the web server's TCP port information.

[0335] The server integrates the configuration diagrams of each generated layer and outputs them as a complete logical configuration diagram. This diagram is saved in PDF format or other formats and provided in different formats for each department as needed. For example, a simplified configuration diagram is generated for the sales department, and a detailed configuration diagram is generated for the technical department.

[0336] Next, the server uses an emotion engine to recognize the user's emotions based on their actions and inputs. Based on the recognized emotion information, the system generates the optimal configuration diagram format and proposes it to the user. In addition, if the user experiences a certain level of stress or confusion, support notifications are automatically sent.

[0337] Specific example

[0338] As a concrete example, consider a case where a user uploads a physical layer configuration diagram of their office network as a JSON file. The diagram includes components such as switch A, router B, and cable C. The server parses this JSON file and extracts information about each device based on its schema. Next, it generates configuration diagrams for the data link, network, transport, and application layers based on the extracted information, and then integrates them to output a complete logical configuration diagram in PDF format.

[0339] Furthermore, the server analyzes user operation logs and, if it detects stress from users repeatedly performing the same operations, it automatically displays a simplified operation guide or a support chatbot. Additionally, if the user's emotions are positive, it suggests a detailed configuration diagram format.

[0340] Example of a prompt

[0341] The following is an example of a prompt:

[0342] "Please upload the physical layer configuration diagram of the office network in JSON file format, generate configuration diagrams for each layer (data link, network, transport, application), and output the complete logical configuration diagram in PDF format."

[0343] This invention provides a means for efficiently and accurately designing and constructing complex networks, and also makes it possible to improve the user experience by recognizing and responding to user emotions.

[0344] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0345] Step 1: Input of the physical layer configuration diagram

[0346] Users upload configuration diagram files representing the physical layer to the server. These files are in formats such as JSON or XML and include information about network devices (switches, routers, cables, etc.).

[0347] Input: Physical layer configuration diagram file (JSON format, etc.)

[0348] Output: Uploaded configuration diagram file

[0349] Specific actions: The user opens a web browser and accesses the file upload page. They click the "Select File" button, choose the file "network_structure.json" from their local disk, and click the "Upload" button.

[0350] Step 2: Data analysis and extraction

[0351] The server receives the uploaded file and begins parsing the data using a JSON parser. It checks the file format, performs error checking, and verifies the integrity of each element.

[0352] Input: Uploaded diagram file

[0353] Output: Extracted physical elements (device information)

[0354] Specific operation: The server reads the "network_structure.json" file and parses it with a JSON parser. It then matches the schema and extracts information about switch A, router B, and cable C.

[0355] Step 3: Generate a diagram of the data link layer configuration

[0356] The server generates a configuration diagram of the data link layer based on the extracted physical elements. It uses a network topology engine to generate a graph of the physical connectivity.

[0357] Input: Extracted physical elements

[0358] Output: Data link layer configuration diagram

[0359] Specific operation: The server uses the MAC address and port information of switch A to create a network topology diagram of the data link layer using the network topology engine.

[0360] Step 4: Generating a network layer configuration diagram

[0361] The server generates a network layer configuration diagram based on the data link layer configuration diagram, using routing tables and IP address information.

[0362] Input: Data link layer configuration diagram

[0363] Output: Network layer configuration diagram

[0364] Specific operation: The server uses the IP address and subnet information of router B to generate a network layer configuration diagram.

[0365] Step 5: Generate a diagram of the transport layer configuration

[0366] The server generates a transport layer configuration diagram based on the network layer configuration diagram. It uses TCP / UDP port information and session data.

[0367] Input: Network layer configuration diagram

[0368] Output: Transport layer configuration diagram

[0369] Specific operation: The server generates a transport layer configuration diagram based on the TCP / UDP connection information configured between each device.

[0370] Step 6: Generate the application layer configuration diagram

[0371] The server generates an application layer configuration diagram based on the transport layer configuration diagram, using application-specific configuration information.

[0372] Input: Transport layer configuration diagram

[0373] Output: Application Layer Configuration Diagram

[0374] Specific operation: The server generates an application layer configuration diagram based on the configuration information of the web server and mail server.

[0375] Step 7: Integrating and outputting the complete logical diagram

[0376] The server integrates the configuration diagrams of each generated layer and outputs a complete logical configuration diagram. The configuration diagram is saved in PDF format or other formats and provided in different formats for each department as needed.

[0377] Input: Diagram of each layer

[0378] Output: Complete logical diagram (PDF format, etc.)

[0379] Specific operation: The server integrates the configuration diagrams of each layer, generates a simplified configuration diagram for the sales department and a detailed configuration diagram for the technical department as PDFs, and saves them with appropriate filenames.

[0380] Step 8: Recognizing and responding to user emotions

[0381] The server uses an emotion engine to recognize the user's emotions based on their actions and inputs. Based on the recognized emotion information, it proposes the optimal configuration diagram format and automatically sends a support notification if the user's emotions meet the criteria.

[0382] Input: User operation log

[0383] Output: Sentiment recognition results, suggested format, support notification

[0384] Specific operation: The server analyzes the user's operation logs, and if it detects repeated identical operations in a short period, the emotion engine determines the level of stress and displays a support notification such as, "Would you like support until completion?" Furthermore, if a positive emotion is recognized, a detailed configuration diagram format is suggested.

[0385] (Application Example 2)

[0386] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0387] Modern logistics centers require complex network configurations, and their design and construction demand considerable effort and time. Furthermore, appropriate technical support is necessary to improve employee efficiency. However, a single, unified system exists to achieve all of this. Additionally, there is a need for features such as support notifications based on employee sentiment and the provision of configuration diagrams in individual formats.

[0388] In Application Example 2, the specific processing performed by the specific processing unit 290 of the data processing device 12 is realized by the following means. In this invention, the server includes means for inputting a physical layer configuration diagram, means for analyzing the input physical layer configuration diagram and extracting physical elements, means for generating a data link layer configuration diagram based on the extracted physical elements, means for generating a network layer configuration diagram based on the data link layer configuration diagram, means for generating a transport layer configuration diagram based on the network layer configuration diagram, means for generating an application layer configuration diagram based on the transport layer configuration diagram, means for integrating the generated configuration diagrams of each layer and outputting them as a complete logical configuration diagram, means for recognizing the user's emotions using an emotion engine, means for proposing a configuration diagram format based on the recognized user's emotions, means for providing support notifications based on emotion recognition, means for providing logical configuration diagrams output according to departmental formats, means for performing error checking and data format verification, and means for inputting network equipment information within the logistics center. This streamlines the design and construction of the logistics center network and enables flexible support tailored to the emotions of employees.

[0389] A "physical layer configuration diagram" is a diagram showing the physical arrangement and connection relationships of network equipment, cables, and other components.

[0390] "Means of input" refer to functions or devices that allow users to input drawings or data into the system.

[0391] "Means for analysis and extraction of physical elements" refers to a device or software that analyzes input data and extracts physical components such as network equipment and cables.

[0392] "Means for generating a data link layer configuration diagram" refers to a device or software that has the function of creating a diagram showing the connection relationships and protocols of the data link layer based on extracted physical elements.

[0393] "Means for generating a network layer configuration diagram" refers to a device or software that has the function of creating a diagram showing the routing and IP address relationships of the network layer based on the data link layer configuration diagram.

[0394] "Means for generating a transport layer configuration diagram" refers to a device or software that has the function of creating a diagram showing the relationships between transport layer communication protocols and segments, based on the network layer configuration diagram.

[0395] "Means for generating an application layer configuration diagram" refers to a device or software that has the function of creating a diagram showing the relationships between services and protocols in the application layer, based on the transport layer configuration diagram.

[0396] "Means for integrating the configuration diagrams of each layer and outputting them as a complete logical configuration diagram" refers to a device or software that has the function of combining the generated configuration diagrams of each layer into a single integrated diagram and displaying or saving it.

[0397] "Means of recognizing a user's emotions using an emotion engine" refers to a device or software that has the function of detecting and analyzing emotions from the user's voice, facial expressions, etc.

[0398] "Means for suggesting a configuration diagram format based on recognized user emotions" refers to a device or software that has the function of suggesting the optimal configuration diagram format and layout to the user according to the detected emotion data.

[0399] "Means of providing support notifications based on emotion recognition" refers to devices or software that have the function of providing appropriate support or assistance in response to the stress, confusion, etc., that the user is experiencing.

[0400] "Means for providing logical diagrams output according to departmental formats" refers to a device or software that has the function of outputting and distributing logical diagrams in a format suitable for different departments or roles.

[0401] "Means for error checking and data format verification" refers to devices or software that have the function of detecting and correcting errors and inconsistencies in input data or generated configuration diagrams.

[0402] "Means for inputting network equipment information within a logistics center" refers to functions or devices for inputting information from various network devices located within a logistics center into a system.

[0403] This invention relates to a system that streamlines the design and construction of networks within logistics centers and provides support notifications tailored to employee sentiment and configuration diagrams in an optimal format. The embodiments for carrying out the invention are described in detail below.

[0404] Program Overview

[0405] Input for the physical layer configuration diagram

[0406] The server receives a physical layer configuration diagram file uploaded by the user. This diagram file contains information about network devices (switches, routers, cables, etc.) in JSON or XML format. The server then analyzes this input data and extracts the physical elements.

[0407] Data analysis and extraction

[0408] The server verifies the format of the input file and performs data integrity and error checking. Next, it analyzes the physical layer information and extracts physical elements such as network devices and cables. This is done using a dedicated analysis engine or software.

[0409] Generation of diagrams for each layer

[0410] Based on the extracted physical elements, the server first generates a configuration diagram for the data link layer, and then sequentially generates configuration diagrams for the network layer, transport layer, and application layer. Each configuration diagram is created using dedicated network diagram generation software.

[0411] Integration and output of complete logical diagrams

[0412] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. This diagram is saved in PDF or other file formats and provided in a format suitable for different departments or roles as needed.

[0413] Recognizing and responding to user emotions

[0414] The server uses an emotion engine to recognize the user's emotions based on user actions, inputs, and information from the camera. Based on the recognized emotion information, it suggests configuration diagram formats and provides support notifications. As a result, if the user feels stressed or confused, a simplified configuration diagram format or a support chatbot is automatically provided.

[0415] Hardware and software to be used

[0416] Hardware: Servers, smartphone cameras, smart glasses cameras, robot sensors, etc.

[0417] Software: EmotionEngine (emotion recognition engine), NetworkDiagramGenerator (configuration diagram generation engine)

[0418] Specific example

[0419] For example, consider a scenario where a logistics center employee, wearing smart glasses, uploads a network configuration diagram as a JSON file. When the server receives the file, the analysis engine extracts information from the physical layer and sequentially generates configuration diagrams for the data link layer, network layer, transport layer, and application layer. Finally, an integrated logical configuration diagram is output in PDF format.

[0420] Furthermore, if the person in charge repeatedly performs the same operation during their work, the smart glasses' camera captures this, and the emotion engine detects stress. Based on this emotion information, the server suggests a simplified configuration diagram format and automatically displays operation guides and support chatbots.

[0421] Example of a prompt

[0422] "Please upload a network configuration diagram of the logistics center as a JSON file and automatically generate a logical configuration diagram from the physical layer to the application layer. Design a program that suggests the optimal format based on the user's needs and provides necessary support."

[0423] The above describes the details of the embodiment for carrying out the invention. This system streamlines the design and construction of logistics center networks and enables flexible support that responds to the emotions of employees.

[0424] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0425] Step 1:

[0426] The user uploads a network configuration diagram file of the logistics center to the server in JSON format using a smartphone or terminal. The input data is a JSON file containing information about network devices such as switches, routers, and cables. The server receives this file and proceeds to the next analysis step.

[0427] Step 2:

[0428] The server verifies that the uploaded JSON file is in the correct format. First, it performs a JSON format integrity check, verifying the validity of each element based on the defined schema. If errors are found, the user is notified and prompted to correct them. Once the verification is complete, the JSON data moves on to the next parsing step.

[0429] Step 3:

[0430] The server uses a data analysis engine to extract the physical elements of network devices from a JSON file. This analysis engine extracts information such as the type of network device, connection information, and port information, and organizes them as physical elements. The data extracted at this stage is then passed on to the next step.

[0431] Step 4:

[0432] The server generates a data link layer configuration diagram based on the extracted physical elements. The data link layer diagram shows the connection relationships based on MAC addresses of switches, bridges, and other components. This configuration diagram contains only the information necessary at the data link layer level and serves as input data for proceeding to the next step.

[0433] Step 5:

[0434] The server generates a network layer configuration diagram based on the data link layer configuration diagram. The network layer diagram generates a diagram based on the IP addresses and routing tables of routers and Layer 3 switches. The generated network layer configuration diagram is then used to proceed to the next step.

[0435] Step 6:

[0436] The server generates a transport layer configuration diagram based on the network layer configuration diagram. The transport layer contains information about communication paths and port numbers based on protocols such as TCP and UDP. This information is organized to create the transport layer configuration diagram.

[0437] Step 7:

[0438] The server generates an application layer configuration diagram based on the transport layer configuration diagram. The application layer contains configuration information related to the communication of applications such as web servers and mail servers. The generated application layer configuration diagram becomes part of the complete logical configuration diagram that includes all layers.

[0439] Step 8:

[0440] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. This logical configuration diagram is saved in PDF format or other formats. This configuration diagram, which contains comprehensive information, is provided in different formats for each department.

[0441] Step 9:

[0442] The server collects emotional information obtained from users during uploads and operations via smart glasses or smartphones, and uses an emotion engine to recognize the user's emotions. This emotional information is used to detect user stress, confusion, and other emotional states.

[0443] Step 10:

[0444] The server suggests the optimal configuration diagram format based on the recognized user's emotional information. For example, if the user is feeling stressed, it provides a simplified configuration diagram; if positive emotions are detected, it provides a detailed configuration diagram. Furthermore, emotional recognition triggers support notifications, and a support chatbot is automatically activated as needed.

[0445] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0446] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0447] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0448] [Second Embodiment]

[0449] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0450] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0451] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0452] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0453] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0454] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0455] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0456] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0457] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0458] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0459] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0460] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0461] This invention relates to a system for telecommunications carriers to automatically generate a configuration diagram ranging from a physical layer diagram to a logical configuration diagram that includes the application layer. This system significantly reduces the time and effort required for network design and construction, enabling efficient operation.

[0462] Program Overview

[0463] This system has the following main functions:

[0464] 1. Input the physical layer configuration diagram.

[0465] 2. Analyze the input physical layer configuration diagram and extract the physical elements.

[0466] 3. Generate a diagram of the data link layer configuration based on the extracted physical elements.

[0467] 4. Generate a network layer configuration diagram based on the data link layer configuration diagram.

[0468] 5. Generate a transport layer configuration diagram based on the network layer configuration diagram.

[0469] 6. Generate an application layer configuration diagram based on the transport layer configuration diagram.

[0470] 7. Integrate the generated diagrams for each layer and output them as a complete logical diagram.

[0471] 8. Provide the generated logical configuration diagram according to the format of each department.

[0472] Program processing

[0473] Input for the physical layer configuration diagram

[0474] The user uploads a configuration diagram representing the physical layer to the server. This diagram can be in formats such as JSON or XML and includes information about switches, routers, cables, etc.

[0475] Specific example: A user uploads a physical layer configuration diagram of their office network as a JSON file. The diagram includes components such as switch A, router B, and cable C.

[0476] Data analysis and extraction

[0477] The server analyzes the uploaded configuration diagram data and extracts physical elements (switches, routers, cables, etc.). Error checking and data format verification are also performed during this process.

[0478] Specific example: The server reads a JSON file, parses information about each device based on the schema, and extracts physical elements such as switch A, router B, and cable C.

[0479] Generation of diagrams for each layer

[0480] Based on the extracted physical elements, the server first generates a configuration diagram for the data link layer, and then sequentially generates configuration diagrams for the network layer, transport layer, and application layer.

[0481] Specific example: The server creates a data link layer configuration diagram based on the extracted MAC address and port information of switch A. Next, it creates a network layer configuration diagram using the IP address information of router B, and then generates a transport layer configuration diagram based on the TCP port information of web server C.

[0482] Integration and output of complete logical diagrams

[0483] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. The output is in a format such as PDF, and is provided in a format conforming to the specific format of each department as needed.

[0484] Specific example: The server integrates information from the data link layer, network layer, transport layer, and application layer, and outputs it as a single logical configuration diagram in PDF format.

[0485] Error checking and formatting for each department.

[0486] The server performs error checking and data format verification on the input data. It can also provide the generated logical configuration diagram in a format tailored to the needs of each department.

[0487] Specific example: The server checks for format errors during data analysis and provides feedback to the user if errors are found. The generated configuration diagram is provided in two formats: a simplified version for the sales department and a detailed version for the technical department.

[0488] In this way, the present invention provides a means for efficiently and accurately designing and constructing complex networks, enabling telecommunications carriers to quickly respond to network evolution.

[0489] The following describes the processing flow.

[0490] Step 1:

[0491] The user uploads a physical layer configuration diagram file to the server. The configuration diagram file contains information about network devices (switches, routers, cables, etc.) in JSON or XML format.

[0492] Step 2:

[0493] The server receives the uploaded file and begins analyzing the data. First, it checks if the file format is correct and verifies the integrity of the elements.

[0494] Step 3:

[0495] The server extracts physical elements (switches, routers, cables, etc.) from the file. At this time, it identifies the role and connection information of each device and stores it in a database.

[0496] Step 4:

[0497] The server generates a data link layer configuration diagram based on the extracted physical elements. For example, it collects MAC addresses and connected device information for each port of a switch and creates a link map.

[0498] Step 5:

[0499] The server generates a network layer configuration diagram based on the data link layer configuration diagram. It obtains IP addresses and subnet information from the router and forms the network topology.

[0500] Step 6:

[0501] The server generates a transport layer configuration diagram based on the network layer configuration diagram. Here, the communication protocol and port number (TCP / UDP) for each device are configured.

[0502] Step 7:

[0503] The server generates an application layer configuration diagram based on the transport layer configuration diagram. Configuration information for each server and service (Web, email, FTP, etc.) is added to complete the application map.

[0504] Step 8:

[0505] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. This diagram is saved in PDF or other formats.

[0506] Step 9:

[0507] The server provides logical configuration diagrams output according to the format specific to each department. It generates simplified configuration diagrams for the sales department and detailed configuration diagrams for the technical department.

[0508] Step 10:

[0509] The server provides the user with a generated configuration diagram. The user can then review it and use it for their work or projects.

[0510] (Example 1)

[0511] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0512] Traditional network design and construction processes heavily rely on manual drawing and data entry, requiring considerable time and effort. Furthermore, outputting data in the appropriate format to meet the needs of each department is difficult, and inadequate error checking makes design errors more likely. This makes it challenging for telecommunications carriers to build and operate networks quickly and efficiently.

[0513] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0514] In this invention, the server includes means for inputting a physical layer configuration diagram, means for analyzing the input physical layer configuration diagram and extracting physical elements, and means for generating a data link layer configuration diagram based on the extracted physical elements. This reduces manual time and effort, automates error checking and data format verification, and enables the generation of accurate configuration diagrams. Furthermore, the generated logical configuration diagrams can be output in a format appropriate for each department, supporting rapid network design and efficient operation.

[0515] A "physical layer configuration diagram" is a diagram that shows the physical connection status of a network, detailing the placement and connection relationships of physical network devices (switches, routers, cables, etc.).

[0516] "Input" refers to the act of inputting data into a system, and in this invention, it refers to the act of uploading a diagram of the physical layer configuration to the system.

[0517] "Analysis" is the process of examining given information in detail to clarify its constituent elements and state. In this invention, it is the process of examining the configuration diagram of the physical layer in detail to identify and extract the physical elements.

[0518] "Physical elements" refer to the physical devices that make up a network configuration (switches, routers, cables, etc.) and their connection status.

[0519] A "data link layer configuration diagram" is a diagram that shows the communication relationships of the second layer (data link layer) of the OSI reference model, illustrating in detail the communication between devices using MAC addresses and other methods.

[0520] A "network layer configuration diagram" is a diagram that shows the communication relationships of the third layer (network layer) of the OSI reference model, and provides a detailed explanation of communication paths using IP addresses.

[0521] A "transport layer configuration diagram" is a diagram that shows the communication relationships of the fourth layer (transport layer) of the OSI reference model, and it shows the details of the communication, including TCP and UDP port information for each device.

[0522] An "application layer configuration diagram" is a diagram that shows the communication relationships of the 7th layer (application layer) of the OSI reference model, and provides a detailed explanation of the communication of application protocols and services.

[0523] A "logical configuration diagram" is a diagram that shows the logical connection state of the entire network, generated by integrating the configuration diagrams of each layer, and contains all the information necessary to understand how the network operates.

[0524] "Error checking" is the process of verifying the integrity and format accuracy of data, and is a process for detecting inconsistencies and errors.

[0525] "A format tailored to the needs of each department" means a format customized according to the level of detail and format required by different departments (for example, the sales department or the technical department).

[0526] This invention relates to a system for telecommunications carriers to automatically generate logical configuration diagrams from physical layer configuration diagrams. This system significantly reduces the time and effort required for network design and construction, enabling efficient operation.

[0527] System Overview

[0528] This system uses the following main hardware and software components.

[0529] Server: A high-performance data processing server. This server is central to managing everything from data analysis and diagram generation to error checking and final output.

[0530] Device: The PC or tablet used by the user to access the system. The interface is provided through a web browser or a dedicated application.

[0531] Software tools include a Structure Analysis Module, a Layer Generation Engine for generating diagrams of each layer, an Integration Module, and an Output Module.

[0532] System operation

[0533] 1. Input for the physical layer configuration diagram:

[0534] Users upload a diagram of the physical layer configuration to the server in JSON or XML format using a web browser.

[0535] Specific example: A user uploads a physical layer configuration diagram of their office network as a JSON file. The diagram includes components such as switch A, router B, and cable C.

[0536] 2. Data analysis and extraction of physical elements:

[0537] Upon receiving the uploaded configuration diagram, the server uses the Structure Analysis Module to verify and analyze the data format. Physical elements such as switches, routers, and cables are then extracted.

[0538] Specific example: The server reads a JSON file, parses information about each device based on the schema, and extracts physical elements such as switch A, router B, and cable C.

[0539] 3. Generating a diagram of the structure of each layer:

[0540] The server generates configuration diagrams for each layer based on the extracted physical elements. These are created in the following order: data link layer, network layer, transport layer, and application layer.

[0541] Specific example: The server generates a data link layer configuration diagram based on the MAC address and port information of switch A, then generates a network layer configuration diagram based on the IP address information of router B, and finally generates a transport layer configuration diagram based on the TCP port information of web server C.

[0542] 4. Integration of the complete logical diagram:

[0543] The server uses the Layer Generation Engine and Integration Module to integrate the configuration diagrams of each layer and output them as a complete logical configuration diagram.

[0544] Specific example: The server integrates information from the data link layer, network layer, transport layer, and application layer, and outputs it as a single logical configuration diagram in PDF format.

[0545] 5. Output and format support:

[0546] The server provides the generated logical configuration diagrams in a format tailored to the needs of each department. It also includes error checking and feedback functions.

[0547] Specific example: The server is provided in two formats: a simplified version for the sales department and a detailed version for the technical department.

[0548] Examples of specific prompt messages

[0549] "Please upload the physical layer diagram of your office network and generate the logical configuration diagram."

[0550] "Please parse this JSON file and create a diagram showing the architecture from the data link layer to the application layer."

[0551] In this way, this system enables telecommunications carriers to design and build networks quickly and efficiently.

[0552] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0553] Step 1:

[0554] Upload physical layer configuration diagram

[0555] The user uploads a physical layer configuration diagram to the server. The interface is provided via a web browser or a dedicated application, and the input is a file in JSON or XML format. When the user uploads this file to the system, the data of the physical layer configuration diagram is sent to the server.

[0556] Specific operation: The user clicks the upload button in the web browser interface and sends a selected JSON file from their local disk to the server.

[0557] Step 2:

[0558] Data analysis and extraction of physical elements

[0559] The server receives the uploaded configuration diagram and analyzes the data using the Structure Analysis Module. It also verifies the data format and extracts the physical elements (switches, routers, cables, etc.) described in the configuration diagram.

[0560] Input: Physical layer configuration file in JSON or XML format received by the server

[0561] Output: A list of extracted physical elements (e.g., Switch A, Router B, Cable C)

[0562] Specific operation: The server reads the file using a JSON parser, analyzes the device information based on the schema, and identifies and extracts each physical element.

[0563] Step 3:

[0564] Generating a diagram of the data link layer

[0565] The server generates a data link layer configuration diagram based on the extracted physical elements. Using the Layer Generation Engine, it combines the MAC addresses and port information of the physical devices to create a configuration diagram showing the connectivity relationships of the data link layer.

[0566] Input: Extracted physical elements (e.g., MAC address of switch A, port information of router B, etc.)

[0567] Output: Data link layer configuration diagram

[0568] Specific operation: The server uses the MAC address and port information of switch A to identify data links between network devices and generate a configuration diagram.

[0569] Step 4:

[0570] Generating a Network Layer Configuration Diagram

[0571] The server generates a network layer configuration diagram based on the data link layer configuration diagram. Based on the IP address information of the network devices, it creates a configuration diagram showing the IP communication paths between each device.

[0572] Input: Data link layer configuration diagram, IP address information of network devices

[0573] Output: Network layer configuration diagram

[0574] Specific operation: The server uses the IP address information of router B to identify IP routing between devices and generates a network layer configuration diagram.

[0575] Step 5:

[0576] Generating a diagram of the transport layer

[0577] The server generates a transport layer configuration diagram based on the network layer configuration diagram. It creates a configuration diagram showing the communication paths of the transport protocol based on the TCP / UDP port information of each device.

[0578] Input: Network layer configuration diagram, TCP / UDP port information of the device.

[0579] Output: Transport layer configuration diagram

[0580] Specific operation: The server uses TCP port information from Web server C, etc., to identify TCP / UDP communication between devices and generate a transport layer configuration diagram.

[0581] Step 6:

[0582] Generating an application layer configuration diagram

[0583] The server generates an application layer configuration diagram based on the transport layer configuration diagram. Based on the protocol and service information of each application, it creates a configuration diagram showing the communication paths between applications.

[0584] Input: Transport layer configuration diagram, application protocol information

[0585] Output: Application layer configuration diagram

[0586] Specific operation: The server uses the protocol information of each application to identify the communication paths between applications and generates a configuration diagram.

[0587] Step 7:

[0588] Integration of complete logical diagrams

[0589] The server integrates the generated diagrams for each layer to create a complete logical diagram. It outputs this diagram as a single, unified document, while maintaining the relationships between each layer.

[0590] Input: Configuration diagrams for each layer (data link layer, network layer, transport layer, application layer)

[0591] Output: Complete logical diagram

[0592] Specific operation: The server uses the Integration Module to properly integrate information from each layer and generate a complete logical configuration diagram in PDF format.

[0593] Step 8:

[0594] Output and format support

[0595] The server provides the completed logical configuration diagram in a format tailored to the needs of each department. It also includes functions for error checking and format verification, and provides feedback to the user.

[0596] Input: Complete logical diagram

[0597] Output: Logical diagrams in a format specific to each department, and error check results.

[0598] Specific operation: The server uses the Output Module to convert the logical configuration diagram into a simplified version for the sales department and a detailed version for the technical department, providing them in a format suitable for each department. It also notifies the user of the error check results via email.

[0599] (Application Example 1)

[0600] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0601] Traditional network design and security diagnostic systems require time and effort to design each layer of the network diagram individually, making it difficult to centrally assess the security risks of the entire system. Furthermore, security risk diagnosis and report generation are not automated, resulting in manual effort. Additionally, generated diagrams and reports are often not provided in departmental formats, hindering smooth information sharing between departments.

[0602] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0603] In this invention, the server includes means for inputting a physical layer configuration diagram, means for analyzing the input physical layer configuration diagram and extracting physical elements, means for generating a data link layer configuration diagram based on the extracted physical elements, means for generating a network layer configuration diagram based on the data link layer configuration diagram, means for generating a transport layer configuration diagram based on the network layer configuration diagram, means for generating an application layer configuration diagram based on the transport layer configuration diagram, means for identifying security risks based on the configuration diagrams of each layer, means for generating a security report based on the identified security risks, and means for integrating the generated configuration diagrams and security reports of each layer and outputting them as a complete logical configuration diagram. This enables efficient network design and security diagnostics, and allows for the provision of configuration diagrams and security reports in formats specific to each department.

[0604] A "physical layer configuration diagram" is a diagram that shows the hardware elements of a network (switches, routers, cables, etc.) and their connection information.

[0605] "Analysis" is the process of deciphering input data and extracting its meaning and elements.

[0606] "Physical elements" refer to the actual hardware devices, cables, and other physical components that make up a network.

[0607] A "data link layer configuration diagram" is a diagram of the layer within a network model that manages physical connections and transmits data frames.

[0608] A "network layer configuration diagram" is a diagram of the layers that manage the transfer and routing of data between different networks.

[0609] A "transport layer configuration diagram" is a diagram of the layers that provide control and reliability for end-to-end data transmission.

[0610] An "application layer configuration diagram" is a diagram of the layers that define the operation of applications and services running on a network.

[0611] "Security risk" refers to elements or vulnerabilities that could potentially lead to threats or attacks against a network or system.

[0612] A "security report" is a document that describes detailed analysis results and countermeasures for identified security risks.

[0613] "Integration" is the process of combining individually generated diagrams and reports into a single, cohesive form.

[0614] "Departmental formats" refer to guidelines for creating documents and drawings according to the specific formats and specifications required by each department.

[0615] This invention relates to a system that automatically identifies security risks based on a corporate network configuration diagram and generates an integrated security report. This system enables efficient network design and security assessment, and allows for the provision of configuration diagrams and security reports in formats specific to each department.

[0616] Hardware and software to be used

[0617] hardware

[0618] Server: A computer system used for data analysis and the integration of generated configuration diagrams and reports.

[0619] Terminal: A device that provides a user interface for network administrators to upload configuration diagrams and receive the results.

[0620] software

[0621] Python Library: A programming language library for data analysis, network diagram generation, and security assessments.

[0622] JSON: Analysis of the input network configuration diagram.

[0623] XML: Analysis of the input network configuration diagram.

[0624] networkx: Generates configuration diagrams for the data link layer, network layer, transport layer, and application layer.

[0625] bandit: Security risk identification.

[0626] ReportLab: Outputs the generated report as a PDF.

[0627] Specific steps of the process

[0628] 1. Input for the physical layer configuration diagram

[0629] Users upload network configuration diagrams to the server in JSON or XML format. This defines the physical elements (switches, routers, cables, etc.).

[0630] 2. Data Analysis and Extraction

[0631] The server analyzes the input configuration diagram and extracts the physical elements. This process utilizes JSON and XML libraries.

[0632] 3. Generating a diagram of the structure of each layer

[0633] Based on the extracted physical elements, the server uses the networkx library to generate configuration diagrams for the data link layer, network layer, transport layer, and application layer.

[0634] 4. Security assessment

[0635] Based on the generated configuration diagrams for each layer, the server uses security tools such as Bandit to identify security risks.

[0636] 5. Generating a security report

[0637] The server generates a detailed security report based on the identified security risks and outputs it in PDF format using the ReportLab library.

[0638] 6. Output and Provision

[0639] The server integrates the generated configuration diagrams and security reports for each layer and provides them to the user. The output reports are customized according to the format of each department.

[0640] Specific example

[0641] Here's an example of how a company's IT department might use this system. A network administrator uploads a corporate network configuration diagram to the system in JSON file format. The system analyzes the diagram and extracts physical elements such as switches, routers, and cables. It then generates configuration diagrams for the data link layer, network layer, transport layer, and application layer. Next, a security assessment is performed based on each layer's diagram to identify security risks. Finally, a security report containing the identified risks is generated in PDF format and provided to the IT department and other relevant departments.

[0642] Example of a prompt

[0643] Develop an enterprise-grade network security diagnostic application. Please follow these steps:

[0644] 1. Receive a network configuration diagram in JSON or XML format as input.

[0645] 2. Analyze the configuration diagram and extract the physical elements (switches, routers, cables, etc.).

[0646] 3. Based on the extracted elements, generate configuration diagrams for the data link layer, network layer, transport layer, and application layer.

[0647] 4. Based on the configuration diagrams of each layer, identify security risks and generate diagnostic results.

[0648] 5. Integrate the diagnostic results and output a complete security report in PDF or HTML format.

[0649] Libraries to use:

[0650] Python's JSON or XML library

[0651] NetworkX

[0652] OWASP tools, Bandit

[0653] ReportLab

[0654] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0655] Step 1:

[0656] The user uploads a network configuration diagram to the server. The input is a network configuration diagram in JSON or XML format. This diagram includes information on physical elements such as switches, routers, and cables.

[0657] Step 2:

[0658] The server parses the input configuration diagram. This parsing uses a JSON or XML library to read the configuration diagram and extract the physical elements (switches, routers, cables). The input is the configuration diagram data, and the output is a list of physical elements.

[0659] Step 3:

[0660] The server generates a data link layer configuration diagram based on the extracted physical elements. This process uses the networkx library to convert the connection information of each element into a graph structure for the data link layer. The input is a list of physical elements, and the output is a data link layer configuration diagram.

[0661] Step 4:

[0662] The server generates a network layer configuration diagram based on the data link layer configuration diagram. Using the networkx library, it considers IP addresses and routing information to create a graph structure for the network layer. The input is the data link layer configuration diagram, and the output is the network layer configuration diagram.

[0663] Step 5:

[0664] The server generates a transport layer configuration diagram based on the network layer configuration diagram. It uses the configuration information from the data link layer and network layer to add the necessary port information and communication protocols to the transport layer configuration diagram. The input is the network layer configuration diagram, and the output is the transport layer configuration diagram.

[0665] Step 6:

[0666] The server generates an application layer configuration diagram based on the transport layer configuration diagram. It creates the application layer configuration diagram based on service and protocol information related to the application layer. The input is the transport layer configuration diagram, and the output is the application layer configuration diagram.

[0667] Step 7:

[0668] The server identifies security risks based on the configuration diagrams of each layer. Security diagnostic tools such as Bandit are used to analyze the security risks hidden within the configuration diagrams. The input is the complete configuration diagram up to the application layer, and the output is a list of identified security risks.

[0669] Step 8:

[0670] The server generates a detailed security report based on the identified security risks. Using the ReportLab library, it outputs a report in PDF format detailing each risk and its countermeasures. The input is a list of security risks, and the output is a security report in PDF format.

[0671] Step 9:

[0672] The server integrates the generated configuration diagrams and security reports for each layer and provides them to the user. The output is customized according to departmental formats and is output in a way that meets the specific requirements of each department. The input is the configuration diagrams and security reports for each layer, and the output is a formatted, integrated configuration diagram and report.

[0673] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0674] This invention combines a system that automatically generates a logical configuration diagram including the application layer from a configuration diagram representing the physical layer with an emotion engine that recognizes user emotions. This system provides support for telecommunications carriers to design and build networks quickly and efficiently.

[0675] Program Overview

[0676] This system has the following main functions:

[0677] 1. A means of inputting the configuration diagram of the physical layer.

[0678] 2. A means for analyzing the configuration diagram of the input physical layer and extracting the physical elements.

[0679] 3. A means for generating a data link layer configuration diagram based on extracted physical elements.

[0680] 4. A means for generating a network layer configuration diagram based on a data link layer configuration diagram.

[0681] 5. A means for generating a transport layer configuration diagram based on a network layer configuration diagram.

[0682] 6. A means for generating an application layer configuration diagram based on a transport layer configuration diagram.

[0683] 7. A means of integrating the generated configuration diagrams for each layer and outputting them as a complete logical configuration diagram.

[0684] 8. Means for providing a logical configuration diagram output according to the format of each department.

[0685] 9. An emotion engine that recognizes the user's emotions.

[0686] 10. A means of suggesting the optimal configuration diagram format based on recognized user emotions.

[0687] 11. A means of automatically sending support notifications when the recognized user's emotions meet certain criteria.

[0688] Program processing

[0689] Input for the physical layer configuration diagram

[0690] The user uploads a configuration diagram file representing the physical layer to the server. The configuration diagram file contains information about network devices (switches, routers, cables, etc.) in JSON or XML format.

[0691] Specific example: A user uploads a physical layer configuration diagram of their office network as a JSON file. The diagram includes components such as switch A, router B, and cable C.

[0692] Data analysis and extraction

[0693] The server receives the uploaded file and begins analyzing the data. It verifies that the file format is correct and checks the integrity of the elements. It also performs error checking and verifies the data format.

[0694] Specific example: The server reads a JSON file, parses information about each device based on the schema, and extracts physical elements such as switch A, router B, and cable C.

[0695] Generation of diagrams for each layer

[0696] Based on the extracted physical elements, the server first generates a configuration diagram for the data link layer, and then sequentially generates configuration diagrams for the network layer, transport layer, and application layer.

[0697] Specific example: The server creates a data link layer configuration diagram based on the extracted MAC address and port information of switch A. Next, it creates a network layer configuration diagram using the IP address information of router B, and then generates a transport layer configuration diagram based on the TCP port information of web server C. Finally, it generates an application layer configuration diagram based on the configuration information of each application (e.g., web server and mail server).

[0698] Integration and output of complete logical diagrams

[0699] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. This diagram is saved in PDF or other formats and provided in different formats for each department as needed.

[0700] Specific example: The server outputs a complete logical configuration diagram in PDF format, integrating information from the data link layer, network layer, transport layer, and application layer. A simplified configuration diagram is generated and provided to the sales department, while a detailed configuration diagram is provided to the technical department.

[0701] Recognizing and responding to user emotions

[0702] The server uses an emotion engine to recognize the user's emotions based on their actions and inputs. Based on the recognized emotion information, the system generates the optimal configuration diagram format and proposes it to the user. Furthermore, if the user experiences a certain level of stress or confusion, the system automatically sends a support notification.

[0703] Specific example: If the server detects stress from a user repeatedly performing the same operation, it automatically displays a simplified operation guide or a support chatbot. Furthermore, if the user's emotions are positive, it meets the user's expectations by suggesting a detailed configuration diagram format.

[0704] In this way, the present invention provides a means for efficiently and accurately designing and constructing complex networks, and also makes it possible to improve the user experience by recognizing and responding to user emotions.

[0705] The following describes the processing flow.

[0706] Step 1:

[0707] The user uploads a physical layer configuration diagram file to the server. The configuration diagram file contains information about network devices (switches, routers, cables, etc.) in JSON or XML format.

[0708] Step 2:

[0709] The server receives the uploaded file and begins analyzing the data. It verifies that the file format is correct and checks the integrity of the elements. It also performs error checking and verifies the data format.

[0710] Step 3:

[0711] The server extracts physical elements (switches, routers, cables, etc.) from the file. At this time, it identifies the role and connection information of each device and stores it in a database.

[0712] Step 4:

[0713] The server generates a data link layer configuration diagram based on the extracted physical elements. For example, it collects MAC addresses and connected device information for each port of a switch and creates a link map.

[0714] Step 5:

[0715] The server generates a network layer configuration diagram based on the data link layer configuration diagram. It obtains IP addresses and subnet information from the router and forms the network topology.

[0716] Step 6:

[0717] The server generates a transport layer configuration diagram based on the network layer configuration diagram. Here, the communication protocol and port number (TCP / UDP) for each device are configured.

[0718] Step 7:

[0719] The server generates an application layer configuration diagram based on the transport layer configuration diagram. Configuration information for each server and service (Web, email, FTP, etc.) is added to complete the application map.

[0720] Step 8:

[0721] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. This diagram is saved in PDF or other formats.

[0722] Step 9:

[0723] The server provides logical configuration diagrams output according to the format specific to each department. It generates simplified configuration diagrams for the sales department and detailed configuration diagrams for the technical department.

[0724] Step 10:

[0725] The server uses an emotion engine to recognize the user's emotions based on their actions and input. This engine infers emotions from factors such as the speed and frequency of keyboard and mouse operations, and the number of input errors.

[0726] Step 11:

[0727] The server suggests the optimal configuration diagram format based on the recognized user's emotions. If the emotions are positive, it provides a detailed configuration diagram; if negative, it provides a simplified one.

[0728] Step 12:

[0729] The server automatically sends a support notification if the user's emotional state meets certain criteria (e.g., high stress or confusion is detected). This notification includes alerts to the technical support team and the display of help guides.

[0730] Step 13:

[0731] The server provides users with interactive support options if a particular emotional state persists. For example, it might offer a live chat function or links to video tutorials.

[0732] (Example 2)

[0733] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0734] Manually creating configuration diagrams for each layer, from the physical layer to the application layer, in network design and construction is extremely time-consuming and labor-intensive. Furthermore, there is a lack of appropriate formats that consider the user's emotional state, as well as adequate support for the stress and confusion users may experience. This results in challenges such as decreased design efficiency and a decline in the quality of the user experience.

[0735] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0736] In this invention, the server includes means for inputting a physical layer configuration diagram, means for analyzing the input physical layer configuration diagram and extracting physical elements, means for generating a data link layer configuration diagram based on the extracted physical elements, means for generating a network layer configuration diagram based on the data link layer configuration diagram, means for generating a transport layer configuration diagram based on the network layer configuration diagram, means for generating an application layer configuration diagram based on the transport layer configuration diagram, means for integrating the generated configuration diagrams of each layer and outputting them as a complete logical configuration diagram, an emotion engine for recognizing the user's emotions, means for proposing an optimal configuration diagram format based on the recognized user emotions, and means for providing support notifications when the user's emotions meet the criteria. This makes it possible to automatically and efficiently generate configuration diagrams for each layer and provide support according to the user's emotional state.

[0737] A "physical layer configuration diagram" is a diagram that illustrates the physical elements of a network (e.g., cables, switches, routers, etc.) and shows their connection status.

[0738] The "data link layer" is a layer located above the physical layer in a network model, and it manages data transfer between directly connected devices.

[0739] The "network layer" is the layer that enables data transfer between different networks, and it is primarily the layer that routes data using IP addresses.

[0740] The "transport layer" is the layer responsible for establishing, managing, and terminating communication sessions, as well as ensuring data reliability and controlling traffic flow.

[0741] The "application layer" is the highest layer on which application software directly used by end users operates, and it is the layer that provides specific services (e.g., email, file transfer, web access, etc.).

[0742] An "emotion engine" is an algorithm or system that analyzes user input and actions to estimate the user's emotional state at that time.

[0743] A "configuration diagram format" is a display format for configuration diagrams that is created to suit a specific purpose or department.

[0744] A "support notification" is a notification that is sent to provide appropriate assistance to users when they are experiencing difficulties or confusion.

[0745] This invention combines a system that automatically generates logical configuration diagrams from the physical layer to the application layer with an emotion engine that recognizes user emotions. This system provides support for telecommunications carriers and others to quickly and efficiently design and build networks. The following describes in detail the embodiments for which this invention is specifically implemented.

[0746] Hardware and software configuration

[0747] Users use a device (e.g., a PC or tablet) to upload a configuration diagram file representing the physical layer to the server. This device has a web browser and an FTP client installed, enabling file uploads.

[0748] The server analyzes the uploaded files and generates a diagram of each layer's structure. The following software is installed on the server:

[0749] 1. JSON parser

[0750] 2. Network Topology Engine

[0751] 3. Emotion Recognition Engine

[0752] 4. PDF generation software

[0753] The server also uses machine learning models (e.g., generative AI models) to recognize the user's emotional state and provide configuration diagrams and support notifications in the appropriate format.

[0754] Program processing

[0755] The user uploads a physical layer configuration diagram file to the server. The file contains information about network devices (switches, routers, cables, etc.) in JSON or XML format.

[0756] The server receives the uploaded file and begins parsing the data using a JSON parser. It verifies that the file format is correct and checks the integrity of each element. It also performs error checking and verifies the data format.

[0757] Next, the server generates a configuration diagram of the data link layer based on the extracted physical elements. This is done by generating a graph of the physical connectivity using a network topology engine. Subsequently, configuration diagrams for the network layer, transport layer, and application layer are generated sequentially. For example, the configuration diagrams for each layer are created using the router's IP address information and the web server's TCP port information.

[0758] The server integrates the configuration diagrams of each generated layer and outputs them as a complete logical configuration diagram. This diagram is saved in PDF format or other formats and provided in different formats for each department as needed. For example, a simplified configuration diagram is generated for the sales department, and a detailed configuration diagram is generated for the technical department.

[0759] Next, the server uses an emotion engine to recognize the user's emotions based on their actions and inputs. Based on the recognized emotion information, the system generates the optimal configuration diagram format and proposes it to the user. In addition, if the user experiences a certain level of stress or confusion, support notifications are automatically sent.

[0760] Specific example

[0761] As a concrete example, consider a case where a user uploads a physical layer configuration diagram of their office network as a JSON file. The diagram includes components such as switch A, router B, and cable C. The server parses this JSON file and extracts information about each device based on its schema. Next, it generates configuration diagrams for the data link, network, transport, and application layers based on the extracted information, and then integrates them to output a complete logical configuration diagram in PDF format.

[0762] Furthermore, the server analyzes user operation logs and, if it detects stress from users repeatedly performing the same operations, it automatically displays a simplified operation guide or a support chatbot. Additionally, if the user's emotions are positive, it suggests a detailed configuration diagram format.

[0763] Example of a prompt

[0764] The following is an example of a prompt:

[0765] "Please upload the physical layer configuration diagram of the office network in JSON file format, generate configuration diagrams for each layer (data link, network, transport, application), and output the complete logical configuration diagram in PDF format."

[0766] This invention provides a means for efficiently and accurately designing and constructing complex networks, and also makes it possible to improve the user experience by recognizing and responding to user emotions.

[0767] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0768] Step 1: Input of the physical layer configuration diagram

[0769] Users upload configuration diagram files representing the physical layer to the server. These files are in formats such as JSON or XML and include information about network devices (switches, routers, cables, etc.).

[0770] Input: Physical layer configuration diagram file (JSON format, etc.)

[0771] Output: Uploaded configuration diagram file

[0772] Specific actions: The user opens a web browser and accesses the file upload page. They click the "Select File" button, choose the file "network_structure.json" from their local disk, and click the "Upload" button.

[0773] Step 2: Data analysis and extraction

[0774] The server receives the uploaded file and begins parsing the data using a JSON parser. It checks the file format, performs error checking, and verifies the integrity of each element.

[0775] Input: Uploaded diagram file

[0776] Output: Extracted physical elements (device information)

[0777] Specific operation: The server reads the "network_structure.json" file and parses it with a JSON parser. It then matches the schema and extracts information about switch A, router B, and cable C.

[0778] Step 3: Generate a diagram of the data link layer configuration

[0779] The server generates a configuration diagram of the data link layer based on the extracted physical elements. It uses a network topology engine to generate a graph of the physical connectivity.

[0780] Input: Extracted physical elements

[0781] Output: Data link layer configuration diagram

[0782] Specific operation: The server uses the MAC address and port information of switch A to create a network topology diagram of the data link layer using the network topology engine.

[0783] Step 4: Generating a network layer configuration diagram

[0784] The server generates a network layer configuration diagram based on the data link layer configuration diagram, using routing tables and IP address information.

[0785] Input: Data link layer configuration diagram

[0786] Output: Network layer configuration diagram

[0787] Specific operation: The server uses the IP address and subnet information of router B to generate a network layer configuration diagram.

[0788] Step 5: Generate a diagram of the transport layer configuration

[0789] The server generates a transport layer configuration diagram based on the network layer configuration diagram. It uses TCP / UDP port information and session data.

[0790] Input: Network layer configuration diagram

[0791] Output: Transport layer configuration diagram

[0792] Specific operation: The server generates a transport layer configuration diagram based on the TCP / UDP connection information configured between each device.

[0793] Step 6: Generate the application layer configuration diagram

[0794] The server generates an application layer configuration diagram based on the transport layer configuration diagram, using application-specific configuration information.

[0795] Input: Transport layer configuration diagram

[0796] Output: Application Layer Configuration Diagram

[0797] Specific operation: The server generates an application layer configuration diagram based on the configuration information of the web server and mail server.

[0798] Step 7: Integrating and outputting the complete logical diagram

[0799] The server integrates the configuration diagrams of each generated layer and outputs a complete logical configuration diagram. The configuration diagram is saved in PDF format or other formats and provided in different formats for each department as needed.

[0800] Input: Diagram of each layer

[0801] Output: Complete logical diagram (PDF format, etc.)

[0802] Specific operation: The server integrates the configuration diagrams of each layer, generates a simplified configuration diagram for the sales department and a detailed configuration diagram for the technical department as PDFs, and saves them with appropriate filenames.

[0803] Step 8: Recognizing and responding to user emotions

[0804] The server uses an emotion engine to recognize the user's emotions based on their actions and inputs. Based on the recognized emotion information, it proposes the optimal configuration diagram format and automatically sends a support notification if the user's emotions meet the criteria.

[0805] Input: User operation log

[0806] Output: Sentiment recognition results, suggested format, support notification

[0807] Specific operation: The server analyzes the user's operation logs, and if it detects repeated identical operations in a short period, the emotion engine determines the level of stress and displays a support notification such as, "Would you like support until completion?" Furthermore, if a positive emotion is recognized, a detailed configuration diagram format is suggested.

[0808] (Application Example 2)

[0809] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0810] Modern logistics centers require complex network configurations, and their design and construction demand considerable effort and time. Furthermore, appropriate technical support is necessary to improve employee efficiency. However, a single, unified system exists to achieve all of this. Additionally, there is a need for features such as support notifications based on employee sentiment and the provision of configuration diagrams in individual formats.

[0811] In Application Example 2, the specific processing performed by the specific processing unit 290 of the data processing device 12 is realized by the following means. In this invention, the server includes means for inputting a physical layer configuration diagram, means for analyzing the input physical layer configuration diagram and extracting physical elements, means for generating a data link layer configuration diagram based on the extracted physical elements, means for generating a network layer configuration diagram based on the data link layer configuration diagram, means for generating a transport layer configuration diagram based on the network layer configuration diagram, means for generating an application layer configuration diagram based on the transport layer configuration diagram, means for integrating the generated configuration diagrams of each layer and outputting them as a complete logical configuration diagram, means for recognizing the user's emotions using an emotion engine, means for proposing a configuration diagram format based on the recognized user's emotions, means for providing support notifications based on emotion recognition, means for providing logical configuration diagrams output according to departmental formats, means for performing error checking and data format verification, and means for inputting network equipment information within the logistics center. This streamlines the design and construction of the logistics center network and enables flexible support tailored to the emotions of employees.

[0812] A "physical layer configuration diagram" is a diagram showing the physical arrangement and connection relationships of network equipment, cables, and other components.

[0813] "Means of input" refer to functions or devices that allow users to input drawings or data into the system.

[0814] "Means for analysis and extraction of physical elements" refers to a device or software that analyzes input data and extracts physical components such as network equipment and cables.

[0815] "Means for generating a data link layer configuration diagram" refers to a device or software that has the function of creating a diagram showing the connection relationships and protocols of the data link layer based on extracted physical elements.

[0816] "Means for generating a network layer configuration diagram" refers to a device or software that has the function of creating a diagram showing the routing and IP address relationships of the network layer based on the data link layer configuration diagram.

[0817] "Means for generating a transport layer configuration diagram" refers to a device or software that has the function of creating a diagram showing the relationships between transport layer communication protocols and segments, based on the network layer configuration diagram.

[0818] "Means for generating an application layer configuration diagram" refers to a device or software that has the function of creating a diagram showing the relationships between services and protocols in the application layer, based on the transport layer configuration diagram.

[0819] "Means for integrating the configuration diagrams of each layer and outputting them as a complete logical configuration diagram" refers to a device or software that has the function of combining the generated configuration diagrams of each layer into a single integrated diagram and displaying or saving it.

[0820] "Means of recognizing a user's emotions using an emotion engine" refers to a device or software that has the function of detecting and analyzing emotions from the user's voice, facial expressions, etc.

[0821] "Means for suggesting a configuration diagram format based on recognized user emotions" refers to a device or software that has the function of suggesting the optimal configuration diagram format and layout to the user according to the detected emotion data.

[0822] "Means of providing support notifications based on emotion recognition" refers to devices or software that have the function of providing appropriate support or assistance in response to the stress, confusion, etc., that the user is experiencing.

[0823] "Means for providing logical diagrams output according to departmental formats" refers to a device or software that has the function of outputting and distributing logical diagrams in a format suitable for different departments or roles.

[0824] "Means for error checking and data format verification" refers to devices or software that have the function of detecting and correcting errors and inconsistencies in input data or generated configuration diagrams.

[0825] "Means for inputting network equipment information within a logistics center" refers to functions or devices for inputting information from various network devices located within a logistics center into a system.

[0826] This invention relates to a system that streamlines the design and construction of networks within logistics centers and provides support notifications tailored to employee sentiment and configuration diagrams in an optimal format. The embodiments for carrying out the invention are described in detail below.

[0827] Program Overview

[0828] Input for the physical layer configuration diagram

[0829] The server receives a physical layer configuration diagram file uploaded by the user. This diagram file contains information about network devices (switches, routers, cables, etc.) in JSON or XML format. The server then analyzes this input data and extracts the physical elements.

[0830] Data analysis and extraction

[0831] The server verifies the format of the input file and performs data integrity and error checking. Next, it analyzes the physical layer information and extracts physical elements such as network devices and cables. This is done using a dedicated analysis engine or software.

[0832] Generation of diagrams for each layer

[0833] Based on the extracted physical elements, the server first generates a configuration diagram for the data link layer, and then sequentially generates configuration diagrams for the network layer, transport layer, and application layer. Each configuration diagram is created using dedicated network diagram generation software.

[0834] Integration and output of complete logical diagrams

[0835] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. This diagram is saved in PDF or other file formats and provided in a format suitable for different departments or roles as needed.

[0836] Recognizing and responding to user emotions

[0837] The server uses an emotion engine to recognize the user's emotions based on user actions, inputs, and information from the camera. Based on the recognized emotion information, it suggests configuration diagram formats and provides support notifications. As a result, if the user feels stressed or confused, a simplified configuration diagram format or a support chatbot is automatically provided.

[0838] Hardware and software to be used

[0839] Hardware: Servers, smartphone cameras, smart glasses cameras, robot sensors, etc.

[0840] Software: EmotionEngine (emotion recognition engine), NetworkDiagramGenerator (configuration diagram generation engine)

[0841] Specific example

[0842] For example, consider a scenario where a logistics center employee, wearing smart glasses, uploads a network configuration diagram as a JSON file. When the server receives the file, the analysis engine extracts information from the physical layer and sequentially generates configuration diagrams for the data link layer, network layer, transport layer, and application layer. Finally, an integrated logical configuration diagram is output in PDF format.

[0843] Furthermore, if the person in charge repeatedly performs the same operation during their work, the smart glasses' camera captures this, and the emotion engine detects stress. Based on this emotion information, the server suggests a simplified configuration diagram format and automatically displays operation guides and support chatbots.

[0844] Example of a prompt

[0845] "Please upload a network configuration diagram of the logistics center as a JSON file and automatically generate a logical configuration diagram from the physical layer to the application layer. Design a program that suggests the optimal format based on the user's needs and provides necessary support."

[0846] The above describes the details of the embodiment for carrying out the invention. This system streamlines the design and construction of logistics center networks and enables flexible support that responds to the emotions of employees.

[0847] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0848] Step 1:

[0849] The user uploads a network configuration diagram file of the logistics center to the server in JSON format using a smartphone or terminal. The input data is a JSON file containing information about network devices such as switches, routers, and cables. The server receives this file and proceeds to the next analysis step.

[0850] Step 2:

[0851] The server verifies that the uploaded JSON file is in the correct format. First, it performs a JSON format integrity check, verifying the validity of each element based on the defined schema. If errors are found, the user is notified and prompted to correct them. Once the verification is complete, the JSON data moves on to the next parsing step.

[0852] Step 3:

[0853] The server uses a data analysis engine to extract the physical elements of network devices from a JSON file. This analysis engine extracts information such as the type of network device, connection information, and port information, and organizes them as physical elements. The data extracted at this stage is then passed on to the next step.

[0854] Step 4:

[0855] The server generates a data link layer configuration diagram based on the extracted physical elements. The data link layer diagram shows the connection relationships based on MAC addresses of switches, bridges, and other components. This configuration diagram contains only the information necessary at the data link layer level and serves as input data for proceeding to the next step.

[0856] Step 5:

[0857] The server generates a network layer configuration diagram based on the data link layer configuration diagram. The network layer diagram generates a diagram based on the IP addresses and routing tables of routers and Layer 3 switches. The generated network layer configuration diagram is then used to proceed to the next step.

[0858] Step 6:

[0859] The server generates a transport layer configuration diagram based on the network layer configuration diagram. The transport layer contains information about communication paths and port numbers based on protocols such as TCP and UDP. This information is organized to create the transport layer configuration diagram.

[0860] Step 7:

[0861] The server generates an application layer configuration diagram based on the transport layer configuration diagram. The application layer contains configuration information related to the communication of applications such as web servers and mail servers. The generated application layer configuration diagram becomes part of the complete logical configuration diagram that includes all layers.

[0862] Step 8:

[0863] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. This logical configuration diagram is saved in PDF format or other formats. This configuration diagram, which contains comprehensive information, is provided in different formats for each department.

[0864] Step 9:

[0865] The server collects emotional information obtained from users during uploads and operations via smart glasses or smartphones, and uses an emotion engine to recognize the user's emotions. This emotional information is used to detect user stress, confusion, and other emotional states.

[0866] Step 10:

[0867] The server suggests the optimal configuration diagram format based on the recognized user's emotional information. For example, if the user is feeling stressed, it provides a simplified configuration diagram; if positive emotions are detected, it provides a detailed configuration diagram. Furthermore, emotional recognition triggers support notifications, and a support chatbot is automatically activated as needed.

[0868] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0869] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0870] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0871] [Third Embodiment]

[0872] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0873] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0874] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0875] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0876] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0877] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0878] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0879] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0880] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0881] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0882] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0883] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0884] This invention relates to a system for telecommunications carriers to automatically generate a configuration diagram ranging from a physical layer diagram to a logical configuration diagram that includes the application layer. This system significantly reduces the time and effort required for network design and construction, enabling efficient operation.

[0885] Program Overview

[0886] This system has the following main functions:

[0887] 1. Input the physical layer configuration diagram.

[0888] 2. Analyze the input physical layer configuration diagram and extract the physical elements.

[0889] 3. Generate a diagram of the data link layer configuration based on the extracted physical elements.

[0890] 4. Generate a network layer configuration diagram based on the data link layer configuration diagram.

[0891] 5. Generate a transport layer configuration diagram based on the network layer configuration diagram.

[0892] 6. Generate an application layer configuration diagram based on the transport layer configuration diagram.

[0893] 7. Integrate the generated diagrams for each layer and output them as a complete logical diagram.

[0894] 8. Provide the generated logical configuration diagram according to the format of each department.

[0895] Program processing

[0896] Input for the physical layer configuration diagram

[0897] The user uploads a configuration diagram representing the physical layer to the server. This diagram can be in formats such as JSON or XML and includes information about switches, routers, cables, etc.

[0898] Specific example: A user uploads a physical layer configuration diagram of their office network as a JSON file. The diagram includes components such as switch A, router B, and cable C.

[0899] Data analysis and extraction

[0900] The server analyzes the uploaded configuration diagram data and extracts physical elements (switches, routers, cables, etc.). Error checking and data format verification are also performed during this process.

[0901] Specific example: The server reads a JSON file, parses information about each device based on the schema, and extracts physical elements such as switch A, router B, and cable C.

[0902] Generation of diagrams for each layer

[0903] Based on the extracted physical elements, the server first generates a configuration diagram for the data link layer, and then sequentially generates configuration diagrams for the network layer, transport layer, and application layer.

[0904] Specific example: The server creates a data link layer configuration diagram based on the extracted MAC address and port information of switch A. Next, it creates a network layer configuration diagram using the IP address information of router B, and then generates a transport layer configuration diagram based on the TCP port information of web server C.

[0905] Integration and output of complete logical diagrams

[0906] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. The output is in a format such as PDF, and is provided in a format conforming to the specific format of each department as needed.

[0907] Specific example: The server integrates information from the data link layer, network layer, transport layer, and application layer, and outputs it as a single logical configuration diagram in PDF format.

[0908] Error checking and formatting for each department.

[0909] The server performs error checking and data format verification on the input data. It can also provide the generated logical configuration diagram in a format tailored to the needs of each department.

[0910] Specific example: The server checks for formatting errors during data analysis and provides feedback to the user if errors are found. The generated configuration diagram is provided in two formats: a simplified version for the sales department and a detailed version for the technical department.

[0911] In this way, the present invention provides a means for efficiently and accurately designing and constructing complex networks, enabling telecommunications carriers to quickly respond to network evolution.

[0912] The following describes the processing flow.

[0913] Step 1:

[0914] The user uploads a physical layer configuration diagram file to the server. The configuration diagram file contains information about network devices (switches, routers, cables, etc.) in JSON or XML format.

[0915] Step 2:

[0916] The server receives the uploaded file and begins analyzing the data. First, it checks if the file format is correct and verifies the integrity of the elements.

[0917] Step 3:

[0918] The server extracts physical elements (switches, routers, cables, etc.) from the file. At this time, it identifies the role and connection information of each device and stores it in a database.

[0919] Step 4:

[0920] The server generates a data link layer configuration diagram based on the extracted physical elements. For example, it collects MAC addresses and connected device information for each port of a switch and creates a link map.

[0921] Step 5:

[0922] The server generates a network layer configuration diagram based on the data link layer configuration diagram. It obtains IP addresses and subnet information from the router and forms the network topology.

[0923] Step 6:

[0924] The server generates a transport layer configuration diagram based on the network layer configuration diagram. Here, the communication protocol and port number (TCP / UDP) for each device are configured.

[0925] Step 7:

[0926] The server generates an application layer configuration diagram based on the transport layer configuration diagram. Configuration information for each server and service (Web, email, FTP, etc.) is added to complete the application map.

[0927] Step 8:

[0928] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. This diagram is saved in PDF or other formats.

[0929] Step 9:

[0930] The server provides logical configuration diagrams output according to the format specific to each department. It generates simplified configuration diagrams for the sales department and detailed configuration diagrams for the technical department.

[0931] Step 10:

[0932] The server provides the user with a generated configuration diagram. The user can then review it and use it for their work or projects.

[0933] (Example 1)

[0934] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0935] Traditional network design and construction processes heavily rely on manual drawing and data entry, requiring considerable time and effort. Furthermore, outputting data in the appropriate format to meet the needs of each department is difficult, and inadequate error checking makes design errors more likely. This makes it challenging for telecommunications carriers to build and operate networks quickly and efficiently.

[0936] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0937] In this invention, the server includes means for inputting a physical layer configuration diagram, means for analyzing the input physical layer configuration diagram and extracting physical elements, and means for generating a data link layer configuration diagram based on the extracted physical elements. This reduces manual time and effort, automates error checking and data format verification, and enables the generation of accurate configuration diagrams. Furthermore, the generated logical configuration diagrams can be output in a format appropriate for each department, supporting rapid network design and efficient operation.

[0938] A "physical layer configuration diagram" is a diagram that shows the physical connection status of a network, detailing the placement and connection relationships of physical network devices (switches, routers, cables, etc.).

[0939] "Input" refers to the act of inputting data into a system, and in this invention, it refers to the act of uploading a diagram of the physical layer configuration to the system.

[0940] "Analysis" is the process of examining given information in detail to clarify its constituent elements and state. In this invention, it is the process of examining the configuration diagram of the physical layer in detail to identify and extract the physical elements.

[0941] "Physical elements" refer to the physical devices that make up a network configuration (switches, routers, cables, etc.) and their connection status.

[0942] A "data link layer configuration diagram" is a diagram that shows the communication relationships of the second layer (data link layer) of the OSI reference model, illustrating in detail the communication between devices using MAC addresses and other methods.

[0943] A "network layer configuration diagram" is a diagram that shows the communication relationships of the third layer (network layer) of the OSI reference model, and provides a detailed explanation of communication paths using IP addresses.

[0944] A "transport layer configuration diagram" is a diagram that shows the communication relationships of the fourth layer (transport layer) of the OSI reference model, and it shows the details of the communication, including TCP and UDP port information for each device.

[0945] An "application layer configuration diagram" is a diagram that shows the communication relationships of the 7th layer (application layer) of the OSI reference model, and provides a detailed explanation of the communication of application protocols and services.

[0946] A "logical configuration diagram" is a diagram that shows the logical connection state of the entire network, generated by integrating the configuration diagrams of each layer, and contains all the information necessary to understand how the network operates.

[0947] "Error checking" is the process of verifying the integrity and format accuracy of data, and is a process for detecting inconsistencies and errors.

[0948] "A format tailored to the needs of each department" means a format customized according to the level of detail and format required by different departments (for example, the sales department or the technical department).

[0949] This invention relates to a system for telecommunications carriers to automatically generate logical configuration diagrams from physical layer configuration diagrams. This system significantly reduces the time and effort required for network design and construction, enabling efficient operation.

[0950] System Overview

[0951] This system uses the following main hardware and software components.

[0952] Server: A high-performance data processing server. This server is central to managing everything from data analysis and diagram generation to error checking and final output.

[0953] Device: The PC or tablet used by the user to access the system. The interface is provided through a web browser or a dedicated application.

[0954] Software tools include a Structure Analysis Module, a Layer Generation Engine for generating diagrams of each layer, an Integration Module, and an Output Module.

[0955] System operation

[0956] 1. Input for the physical layer configuration diagram:

[0957] Users upload a diagram of the physical layer configuration to the server in JSON or XML format using a web browser.

[0958] Specific example: A user uploads a physical layer configuration diagram of their office network as a JSON file. The diagram includes components such as switch A, router B, and cable C.

[0959] 2. Data analysis and extraction of physical elements:

[0960] Upon receiving the uploaded configuration diagram, the server uses the Structure Analysis Module to verify and analyze the data format. Physical elements such as switches, routers, and cables are then extracted.

[0961] Specific example: The server reads a JSON file, parses information about each device based on the schema, and extracts physical elements such as switch A, router B, and cable C.

[0962] 3. Generating a diagram of the structure of each layer:

[0963] The server generates configuration diagrams for each layer based on the extracted physical elements. These are created in the following order: data link layer, network layer, transport layer, and application layer.

[0964] Specific example: The server generates a data link layer configuration diagram based on the MAC address and port information of switch A, then generates a network layer configuration diagram based on the IP address information of router B, and finally generates a transport layer configuration diagram based on the TCP port information of web server C.

[0965] 4. Integration of the complete logical diagram:

[0966] The server uses the Layer Generation Engine and Integration Module to integrate the configuration diagrams of each layer and output them as a complete logical configuration diagram.

[0967] Specific example: The server integrates information from the data link layer, network layer, transport layer, and application layer, and outputs it as a single logical configuration diagram in PDF format.

[0968] 5. Output and format support:

[0969] The server provides the generated logical configuration diagrams in a format tailored to the needs of each department. It also includes error checking and feedback functions.

[0970] Specific example: The server is provided in two formats: a simplified version for the sales department and a detailed version for the technical department.

[0971] Examples of specific prompt messages

[0972] "Please upload the physical layer diagram of your office network and generate the logical configuration diagram."

[0973] "Please parse this JSON file and create a diagram showing the architecture from the data link layer to the application layer."

[0974] In this way, this system enables telecommunications carriers to design and build networks quickly and efficiently.

[0975] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0976] Step 1:

[0977] Upload physical layer configuration diagram

[0978] The user uploads a physical layer configuration diagram to the server. The interface is provided via a web browser or a dedicated application, and the input is a file in JSON or XML format. When the user uploads this file to the system, the data of the physical layer configuration diagram is sent to the server.

[0979] Specific operation: The user clicks the upload button in the web browser interface and sends a selected JSON file from their local disk to the server.

[0980] Step 2:

[0981] Data analysis and extraction of physical elements

[0982] The server receives the uploaded configuration diagram and analyzes the data using the Structure Analysis Module. It also verifies the data format and extracts the physical elements (switches, routers, cables, etc.) described in the configuration diagram.

[0983] Input: Physical layer configuration file in JSON or XML format received by the server

[0984] Output: A list of extracted physical elements (e.g., Switch A, Router B, Cable C)

[0985] Specific operation: The server reads the file using a JSON parser, analyzes the device information based on the schema, and identifies and extracts each physical element.

[0986] Step 3:

[0987] Generating a diagram of the data link layer

[0988] The server generates a data link layer configuration diagram based on the extracted physical elements. Using the Layer Generation Engine, it combines the MAC addresses and port information of the physical devices to create a configuration diagram showing the connectivity relationships of the data link layer.

[0989] Input: Extracted physical elements (e.g., MAC address of switch A, port information of router B, etc.)

[0990] Output: Data link layer configuration diagram

[0991] Specific operation: The server uses the MAC address and port information of switch A to identify data links between network devices and generate a configuration diagram.

[0992] Step 4:

[0993] Generating a Network Layer Configuration Diagram

[0994] The server generates a network layer configuration diagram based on the data link layer configuration diagram. Based on the IP address information of the network devices, it creates a configuration diagram showing the IP communication paths between each device.

[0995] Input: Data link layer configuration diagram, IP address information of network devices

[0996] Output: Network layer configuration diagram

[0997] Specific operation: The server uses the IP address information of router B to identify IP routing between devices and generates a network layer configuration diagram.

[0998] Step 5:

[0999] Generating a diagram of the transport layer

[1000] The server generates a transport layer configuration diagram based on the network layer configuration diagram. It creates a configuration diagram showing the communication paths of the transport protocol based on the TCP / UDP port information of each device.

[1001] Input: Network layer configuration diagram, TCP / UDP port information of the device.

[1002] Output: Transport layer configuration diagram

[1003] Specific operation: The server uses TCP port information from Web server C, etc., to identify TCP / UDP communication between devices and generate a transport layer configuration diagram.

[1004] Step 6:

[1005] Generating an application layer configuration diagram

[1006] The server generates an application layer configuration diagram based on the transport layer configuration diagram. Based on the protocol and service information of each application, it creates a configuration diagram showing the communication paths between applications.

[1007] Input: Transport layer configuration diagram, application protocol information

[1008] Output: Application layer configuration diagram

[1009] Specific operation: The server uses the protocol information of each application to identify the communication paths between applications and generates a configuration diagram.

[1010] Step 7:

[1011] Integration of complete logical diagrams

[1012] The server integrates the generated diagrams for each layer to create a complete logical diagram. It outputs this diagram as a single, unified document, while maintaining the relationships between each layer.

[1013] Input: Configuration diagrams for each layer (data link layer, network layer, transport layer, application layer)

[1014] Output: Complete logical diagram

[1015] Specific operation: The server uses the Integration Module to properly integrate information from each layer and generate a complete logical configuration diagram in PDF format.

[1016] Step 8:

[1017] Output and format support

[1018] The server provides the completed logical configuration diagram in a format tailored to the needs of each department. It also includes functions for error checking and format verification, and provides feedback to the user.

[1019] Input: Complete logical diagram

[1020] Output: Logical diagrams in a format specific to each department, and error check results.

[1021] Specific operation: The server uses the Output Module to convert the logical configuration diagram into a simplified version for the sales department and a detailed version for the technical department, providing them in a format suitable for each department. It also notifies the user of the error check results via email.

[1022] (Application Example 1)

[1023] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1024] Traditional network design and security diagnostic systems require time and effort to design each layer of the network diagram individually, making it difficult to centrally assess the security risks of the entire system. Furthermore, security risk diagnosis and report generation are not automated, resulting in manual effort. Additionally, generated diagrams and reports are often not provided in departmental formats, hindering smooth information sharing between departments.

[1025] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1026] In this invention, the server includes means for inputting a physical layer configuration diagram, means for analyzing the input physical layer configuration diagram and extracting physical elements, means for generating a data link layer configuration diagram based on the extracted physical elements, means for generating a network layer configuration diagram based on the data link layer configuration diagram, means for generating a transport layer configuration diagram based on the network layer configuration diagram, means for generating an application layer configuration diagram based on the transport layer configuration diagram, means for identifying security risks based on the configuration diagrams of each layer, means for generating a security report based on the identified security risks, and means for integrating the generated configuration diagrams and security reports of each layer and outputting them as a complete logical configuration diagram. This enables efficient network design and security diagnostics, and allows for the provision of configuration diagrams and security reports in formats specific to each department.

[1027] A "physical layer configuration diagram" is a diagram that shows the hardware elements of a network (switches, routers, cables, etc.) and their connection information.

[1028] "Analysis" is the process of deciphering input data and extracting its meaning and elements.

[1029] "Physical elements" refer to the actual hardware devices, cables, and other physical components that make up a network.

[1030] A "data link layer configuration diagram" is a diagram of the layer within a network model that manages physical connections and transmits data frames.

[1031] A "network layer configuration diagram" is a diagram of the layers that manage the transfer and routing of data between different networks.

[1032] A "transport layer configuration diagram" is a diagram of the layers that provide control and reliability for end-to-end data transmission.

[1033] An "application layer configuration diagram" is a diagram of the layers that define the operation of applications and services running on a network.

[1034] "Security risk" refers to elements or vulnerabilities that could potentially lead to threats or attacks against a network or system.

[1035] A "security report" is a document that describes detailed analysis results and countermeasures for identified security risks.

[1036] "Integration" is the process of combining individually generated diagrams and reports into a single, cohesive form.

[1037] "Departmental formats" refer to guidelines for creating documents and drawings according to the specific formats and specifications required by each department.

[1038] This invention relates to a system that automatically identifies security risks based on a corporate network configuration diagram and generates an integrated security report. This system enables efficient network design and security assessment, and allows for the provision of configuration diagrams and security reports in formats specific to each department.

[1039] Hardware and software to be used

[1040] hardware

[1041] Server: A computer system used for data analysis and the integration of generated configuration diagrams and reports.

[1042] Terminal: A device that provides a user interface for network administrators to upload configuration diagrams and receive the results.

[1043] software

[1044] Python Library: A programming language library for data analysis, network diagram generation, and security assessments.

[1045] JSON: Analysis of the input network configuration diagram.

[1046] XML: Analysis of the input network configuration diagram.

[1047] networkx: Generates configuration diagrams for the data link layer, network layer, transport layer, and application layer.

[1048] bandit: Security risk identification.

[1049] ReportLab: Outputs the generated report as a PDF.

[1050] Specific steps of the process

[1051] 1. Input for the physical layer configuration diagram

[1052] Users upload network configuration diagrams to the server in JSON or XML format. This defines the physical elements (switches, routers, cables, etc.).

[1053] 2. Data Analysis and Extraction

[1054] The server analyzes the input configuration diagram and extracts the physical elements. This process utilizes JSON and XML libraries.

[1055] 3. Generating a diagram of the structure of each layer

[1056] Based on the extracted physical elements, the server uses the networkx library to generate configuration diagrams for the data link layer, network layer, transport layer, and application layer.

[1057] 4. Security assessment

[1058] Based on the generated configuration diagrams for each layer, the server identifies security risks using security tools such as Bandit.

[1059] 5. Generating a security report

[1060] The server generates a detailed security report based on the identified security risks and outputs it in PDF format using the ReportLab library.

[1061] 6. Output and Provision

[1062] The server integrates the generated configuration diagrams and security reports for each layer and provides them to the user. The output reports are customized according to the format of each department.

[1063] Specific example

[1064] Here's an example of how a company's IT department might use this system. A network administrator uploads a corporate network configuration diagram to the system in JSON file format. The system analyzes the diagram and extracts physical elements such as switches, routers, and cables. It then generates configuration diagrams for the data link layer, network layer, transport layer, and application layer. Next, a security assessment is performed based on each layer's diagram to identify security risks. Finally, a security report containing the identified risks is generated in PDF format and provided to the IT department and other relevant departments.

[1065] Example of a prompt

[1066] Develop an enterprise-grade network security diagnostic application. Please follow these steps:

[1067] 1. Receive a network configuration diagram in JSON or XML format as input.

[1068] 2. Analyze the configuration diagram and extract the physical elements (switches, routers, cables, etc.).

[1069] 3. Based on the extracted elements, generate configuration diagrams for the data link layer, network layer, transport layer, and application layer.

[1070] 4. Based on the configuration diagrams of each layer, identify security risks and generate diagnostic results.

[1071] 5. Integrate the diagnostic results and output a complete security report in PDF or HTML format.

[1072] Libraries to use:

[1073] Python's JSON or XML library

[1074] NetworkX

[1075] OWASP tools, Bandit

[1076] ReportLab

[1077] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1078] Step 1:

[1079] The user uploads a network configuration diagram to the server. The input is a network configuration diagram in JSON or XML format. This diagram includes information on physical elements such as switches, routers, and cables.

[1080] Step 2:

[1081] The server parses the input configuration diagram. This parsing uses a JSON or XML library to read the configuration diagram and extract the physical elements (switches, routers, cables). The input is the configuration diagram data, and the output is a list of physical elements.

[1082] Step 3:

[1083] The server generates a data link layer configuration diagram based on the extracted physical elements. This process uses the networkx library to convert the connection information of each element into a graph structure for the data link layer. The input is a list of physical elements, and the output is a data link layer configuration diagram.

[1084] Step 4:

[1085] The server generates a network layer configuration diagram based on the data link layer configuration diagram. Using the networkx library, it considers IP addresses and routing information to create a graph structure for the network layer. The input is the data link layer configuration diagram, and the output is the network layer configuration diagram.

[1086] Step 5:

[1087] The server generates a transport layer configuration diagram based on the network layer configuration diagram. It uses the configuration information from the data link layer and network layer to add the necessary port information and communication protocols to the transport layer configuration diagram. The input is the network layer configuration diagram, and the output is the transport layer configuration diagram.

[1088] Step 6:

[1089] The server generates an application layer configuration diagram based on the transport layer configuration diagram. It creates the application layer configuration diagram based on service and protocol information related to the application layer. The input is the transport layer configuration diagram, and the output is the application layer configuration diagram.

[1090] Step 7:

[1091] The server identifies security risks based on the configuration diagrams of each layer. Security diagnostic tools such as Bandit are used to analyze the security risks hidden within the configuration diagrams. The input is the complete configuration diagram up to the application layer, and the output is a list of identified security risks.

[1092] Step 8:

[1093] The server generates a detailed security report based on the identified security risks. Using the ReportLab library, it outputs a report in PDF format detailing each risk and its countermeasures. The input is a list of security risks, and the output is a security report in PDF format.

[1094] Step 9:

[1095] The server integrates the generated configuration diagrams and security reports for each layer and provides them to the user. The output is customized according to departmental formats and is output in a way that meets the specific requirements of each department. The input is the configuration diagrams and security reports for each layer, and the output is a formatted, integrated configuration diagram and report.

[1096] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1097] This invention combines a system that automatically generates a logical configuration diagram including the application layer from a configuration diagram representing the physical layer with an emotion engine that recognizes user emotions. This system provides support for telecommunications carriers to design and build networks quickly and efficiently.

[1098] Program Overview

[1099] This system has the following main functions:

[1100] 1. A means of inputting the configuration diagram of the physical layer.

[1101] 2. A means for analyzing the configuration diagram of the input physical layer and extracting the physical elements.

[1102] 3. A means for generating a data link layer configuration diagram based on extracted physical elements.

[1103] 4. A means for generating a network layer configuration diagram based on a data link layer configuration diagram.

[1104] 5. A means for generating a transport layer configuration diagram based on a network layer configuration diagram.

[1105] 6. A means for generating an application layer configuration diagram based on a transport layer configuration diagram.

[1106] 7. A means of integrating the generated configuration diagrams for each layer and outputting them as a complete logical configuration diagram.

[1107] 8. Means for providing a logical configuration diagram output according to the format of each department.

[1108] 9. An emotion engine that recognizes the user's emotions.

[1109] 10. A means of suggesting the optimal configuration diagram format based on recognized user emotions.

[1110] 11. A means of automatically sending support notifications when the recognized user's emotions meet certain criteria.

[1111] Program processing

[1112] Input for the physical layer configuration diagram

[1113] The user uploads a configuration diagram file representing the physical layer to the server. The configuration diagram file contains information about network devices (switches, routers, cables, etc.) in JSON or XML format.

[1114] Specific example: A user uploads a physical layer configuration diagram of their office network as a JSON file. The diagram includes components such as switch A, router B, and cable C.

[1115] Data analysis and extraction

[1116] The server receives the uploaded file and begins analyzing the data. It verifies that the file format is correct and checks the integrity of the elements. It also performs error checking and verifies the data format.

[1117] Specific example: The server reads a JSON file, parses information about each device based on the schema, and extracts physical elements such as switch A, router B, and cable C.

[1118] Generation of diagrams for each layer

[1119] Based on the extracted physical elements, the server first generates a configuration diagram for the data link layer, and then sequentially generates configuration diagrams for the network layer, transport layer, and application layer.

[1120] Specific example: The server creates a data link layer configuration diagram based on the extracted MAC address and port information of switch A. Next, it creates a network layer configuration diagram using the IP address information of router B, and then generates a transport layer configuration diagram based on the TCP port information of web server C. Finally, it generates an application layer configuration diagram based on the configuration information of each application (e.g., web server and mail server).

[1121] Integration and output of complete logical diagrams

[1122] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. This diagram is saved in PDF or other formats and provided in different formats for each department as needed.

[1123] Specific example: The server outputs a complete logical configuration diagram in PDF format, integrating information from the data link layer, network layer, transport layer, and application layer. A simplified configuration diagram is generated and provided to the sales department, while a detailed configuration diagram is provided to the technical department.

[1124] Recognizing and responding to user emotions

[1125] The server uses an emotion engine to recognize the user's emotions based on their actions and inputs. Based on the recognized emotion information, the system generates the optimal configuration diagram format and proposes it to the user. Furthermore, if the user experiences a certain level of stress or confusion, the system automatically sends a support notification.

[1126] Specific example: If the server detects stress from a user repeatedly performing the same operation, it automatically displays a simplified operation guide or a support chatbot. Furthermore, if the user's emotions are positive, it meets the user's expectations by suggesting a detailed configuration diagram format.

[1127] In this way, the present invention provides a means for efficiently and accurately designing and constructing complex networks, and also makes it possible to improve the user experience by recognizing and responding to user emotions.

[1128] The following describes the processing flow.

[1129] Step 1:

[1130] The user uploads a physical layer configuration diagram file to the server. The configuration diagram file contains information about network devices (switches, routers, cables, etc.) in JSON or XML format.

[1131] Step 2:

[1132] The server receives the uploaded file and begins analyzing the data. It verifies that the file format is correct and checks the integrity of the elements. It also performs error checking and verifies the data format.

[1133] Step 3:

[1134] The server extracts physical elements (switches, routers, cables, etc.) from the file. At this time, it identifies the role and connection information of each device and stores it in a database.

[1135] Step 4:

[1136] The server generates a data link layer configuration diagram based on the extracted physical elements. For example, it collects MAC addresses and connected device information for each port of a switch and creates a link map.

[1137] Step 5:

[1138] The server generates a network layer configuration diagram based on the data link layer configuration diagram. It obtains IP addresses and subnet information from the router and forms the network topology.

[1139] Step 6:

[1140] The server generates a transport layer configuration diagram based on the network layer configuration diagram. Here, the communication protocol and port number (TCP / UDP) for each device are configured.

[1141] Step 7:

[1142] The server generates an application layer configuration diagram based on the transport layer configuration diagram. Configuration information for each server and service (Web, email, FTP, etc.) is added to complete the application map.

[1143] Step 8:

[1144] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. This diagram is saved in PDF or other formats.

[1145] Step 9:

[1146] The server provides logical configuration diagrams output according to the format specific to each department. It generates simplified configuration diagrams for the sales department and detailed configuration diagrams for the technical department.

[1147] Step 10:

[1148] The server uses an emotion engine to recognize the user's emotions based on their actions and input. This engine infers emotions from factors such as the speed and frequency of keyboard and mouse operations, and the number of input errors.

[1149] Step 11:

[1150] The server suggests the optimal configuration diagram format based on the recognized user's emotions. If the emotions are positive, it provides a detailed configuration diagram; if negative, it provides a simplified one.

[1151] Step 12:

[1152] The server automatically sends a support notification if the user's emotional state meets certain criteria (e.g., high stress or confusion is detected). This notification includes alerts to the technical support team and the display of help guides.

[1153] Step 13:

[1154] The server provides users with interactive support options if a particular emotional state persists. For example, it might offer a live chat function or links to video tutorials.

[1155] (Example 2)

[1156] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1157] Manually creating configuration diagrams for each layer, from the physical layer to the application layer, in network design and construction is extremely time-consuming and labor-intensive. Furthermore, there is a lack of appropriate formats that consider the user's emotional state, as well as adequate support for the stress and confusion users may experience. This results in challenges such as decreased design efficiency and a decline in the quality of the user experience.

[1158] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[1159] In this invention, the server includes means for inputting a physical layer configuration diagram, means for analyzing the input physical layer configuration diagram and extracting physical elements, means for generating a data link layer configuration diagram based on the extracted physical elements, means for generating a network layer configuration diagram based on the data link layer configuration diagram, means for generating a transport layer configuration diagram based on the network layer configuration diagram, means for generating an application layer configuration diagram based on the transport layer configuration diagram, means for integrating the generated configuration diagrams of each layer and outputting them as a complete logical configuration diagram, an emotion engine for recognizing the user's emotions, means for proposing an optimal configuration diagram format based on the recognized user emotions, and means for providing support notifications when the user's emotions meet the criteria. This makes it possible to automatically and efficiently generate configuration diagrams for each layer and provide support according to the user's emotional state.

[1160] A "physical layer configuration diagram" is a diagram that illustrates the physical elements of a network (e.g., cables, switches, routers, etc.) and shows their connection status.

[1161] The "data link layer" is a layer located above the physical layer in a network model, and it manages data transfer between directly connected devices.

[1162] The "network layer" is the layer that enables data transfer between different networks, and it is primarily the layer that routes data using IP addresses.

[1163] The "transport layer" is the layer responsible for establishing, managing, and terminating communication sessions, as well as ensuring data reliability and controlling traffic flow.

[1164] The "application layer" is the highest layer on which application software directly used by end users operates, and it is the layer that provides specific services (e.g., email, file transfer, web access, etc.).

[1165] An "emotion engine" is an algorithm or system that analyzes user input and actions to estimate the user's emotional state at that time.

[1166] A "configuration diagram format" is a display format for configuration diagrams that is created to suit a specific purpose or department.

[1167] A "support notification" is a notification that is sent to provide appropriate assistance to users when they are experiencing difficulties or confusion.

[1168] This invention combines a system that automatically generates logical configuration diagrams from the physical layer to the application layer with an emotion engine that recognizes user emotions. This system provides support for telecommunications carriers and others to quickly and efficiently design and build networks. The following describes in detail the embodiments for which this invention is specifically implemented.

[1169] Hardware and software configuration

[1170] Users use a device (e.g., a PC or tablet) to upload a configuration diagram file representing the physical layer to the server. This device has a web browser and an FTP client installed, enabling file uploads.

[1171] The server analyzes the uploaded files and generates a diagram of each layer's structure. The following software is installed on the server:

[1172] 1. JSON parser

[1173] 2. Network Topology Engine

[1174] 3. Emotion Recognition Engine

[1175] 4. PDF generation software

[1176] The server also uses machine learning models (e.g., generative AI models) to recognize the user's emotional state and provide configuration diagrams and support notifications in the appropriate format.

[1177] Program processing

[1178] The user uploads a physical layer configuration diagram file to the server. The file contains information about network devices (switches, routers, cables, etc.) in JSON or XML format.

[1179] The server receives the uploaded file and begins parsing the data using a JSON parser. It verifies that the file format is correct and checks the integrity of each element. It also performs error checking and verifies the data format.

[1180] Next, the server generates a configuration diagram of the data link layer based on the extracted physical elements. This is done by generating a graph of the physical connectivity using a network topology engine. Subsequently, configuration diagrams for the network layer, transport layer, and application layer are generated sequentially. For example, the configuration diagrams for each layer are created using the router's IP address information and the web server's TCP port information.

[1181] The server integrates the configuration diagrams of each generated layer and outputs them as a complete logical configuration diagram. This diagram is saved in PDF format or other formats and provided in different formats for each department as needed. For example, a simplified configuration diagram is generated for the sales department, and a detailed configuration diagram is generated for the technical department.

[1182] Next, the server uses an emotion engine to recognize the user's emotions based on their actions and inputs. Based on the recognized emotion information, the system generates the optimal configuration diagram format and proposes it to the user. In addition, if the user experiences a certain level of stress or confusion, support notifications are automatically sent.

[1183] Specific example

[1184] As a concrete example, consider a case where a user uploads a physical layer configuration diagram of their office network as a JSON file. The diagram includes components such as switch A, router B, and cable C. The server parses this JSON file and extracts information about each device based on its schema. Next, it generates configuration diagrams for the data link, network, transport, and application layers based on the extracted information, and then integrates them to output a complete logical configuration diagram in PDF format.

[1185] Furthermore, the server analyzes user operation logs and, if it detects stress from users repeatedly performing the same operations, it automatically displays a simplified operation guide or a support chatbot. Additionally, if the user's emotions are positive, it suggests a detailed configuration diagram format.

[1186] Example of a prompt

[1187] The following is an example of a prompt:

[1188] "Please upload the physical layer configuration diagram of the office network in JSON file format, generate configuration diagrams for each layer (data link, network, transport, application), and output the complete logical configuration diagram in PDF format."

[1189] This invention provides a means for efficiently and accurately designing and constructing complex networks, and also makes it possible to improve the user experience by recognizing and responding to user emotions.

[1190] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1191] Step 1: Input of the physical layer configuration diagram

[1192] Users upload configuration diagram files representing the physical layer to the server. These files are in formats such as JSON or XML and include information about network devices (switches, routers, cables, etc.).

[1193] Input: Physical layer configuration diagram file (JSON format, etc.)

[1194] Output: Uploaded configuration diagram file

[1195] Specific actions: The user opens a web browser and accesses the file upload page. They click the "Select File" button, choose the file "network_structure.json" from their local disk, and click the "Upload" button.

[1196] Step 2: Data analysis and extraction

[1197] The server receives the uploaded file and begins parsing the data using a JSON parser. It checks the file format, performs error checking, and verifies the integrity of each element.

[1198] Input: Uploaded diagram file

[1199] Output: Extracted physical elements (device information)

[1200] Specific operation: The server reads the "network_structure.json" file and parses it with a JSON parser. It then matches the schema and extracts information about switch A, router B, and cable C.

[1201] Step 3: Generate a diagram of the data link layer configuration

[1202] The server generates a configuration diagram of the data link layer based on the extracted physical elements. It uses a network topology engine to generate a graph of the physical connectivity.

[1203] Input: Extracted physical elements

[1204] Output: Data link layer configuration diagram

[1205] Specific operation: The server uses the MAC address and port information of switch A to create a network topology diagram of the data link layer using the network topology engine.

[1206] Step 4: Generating a network layer configuration diagram

[1207] The server generates a network layer configuration diagram based on the data link layer configuration diagram, using routing tables and IP address information.

[1208] Input: Data link layer configuration diagram

[1209] Output: Network layer configuration diagram

[1210] Specific operation: The server uses the IP address and subnet information of router B to generate a network layer configuration diagram.

[1211] Step 5: Generate a diagram of the transport layer configuration

[1212] The server generates a transport layer configuration diagram based on the network layer configuration diagram. It uses TCP / UDP port information and session data.

[1213] Input: Network layer configuration diagram

[1214] Output: Transport layer configuration diagram

[1215] Specific operation: The server generates a transport layer configuration diagram based on the TCP / UDP connection information configured between each device.

[1216] Step 6: Generate the application layer configuration diagram

[1217] The server generates an application layer configuration diagram based on the transport layer configuration diagram, using application-specific configuration information.

[1218] Input: Transport layer configuration diagram

[1219] Output: Application Layer Configuration Diagram

[1220] Specific operation: The server generates an application layer configuration diagram based on the configuration information of the web server and mail server.

[1221] Step 7: Integrating and outputting the complete logical diagram

[1222] The server integrates the configuration diagrams of each generated layer and outputs a complete logical configuration diagram. The configuration diagram is saved in PDF format or other formats and provided in different formats for each department as needed.

[1223] Input: Diagram of each layer

[1224] Output: Complete logical diagram (PDF format, etc.)

[1225] Specific operation: The server integrates the configuration diagrams of each layer, generates a simplified configuration diagram for the sales department and a detailed configuration diagram for the technical department as PDFs, and saves them with appropriate filenames.

[1226] Step 8: Recognizing and responding to user emotions

[1227] The server uses an emotion engine to recognize the user's emotions based on their actions and inputs. Based on the recognized emotion information, it proposes the optimal configuration diagram format and automatically sends a support notification if the user's emotions meet the criteria.

[1228] Input: User operation log

[1229] Output: Sentiment recognition results, suggested format, support notification

[1230] Specific operation: The server analyzes the user's operation logs, and if it detects repeated identical operations in a short period, the emotion engine determines the level of stress and displays a support notification such as, "Would you like support until completion?" Furthermore, if a positive emotion is recognized, a detailed configuration diagram format is suggested.

[1231] (Application Example 2)

[1232] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[1233] Modern logistics centers require complex network configurations, and their design and construction demand considerable effort and time. Furthermore, appropriate technical support is necessary to improve employee efficiency. However, a single, unified system exists to achieve all of this. Additionally, there is a need for features such as support notifications based on employee sentiment and the provision of configuration diagrams in individual formats.

[1234] In Application Example 2, the specific processing performed by the specific processing unit 290 of the data processing device 12 is realized by the following means. In this invention, the server includes means for inputting a physical layer configuration diagram, means for analyzing the input physical layer configuration diagram and extracting physical elements, means for generating a data link layer configuration diagram based on the extracted physical elements, means for generating a network layer configuration diagram based on the data link layer configuration diagram, means for generating a transport layer configuration diagram based on the network layer configuration diagram, means for generating an application layer configuration diagram based on the transport layer configuration diagram, means for integrating the generated configuration diagrams of each layer and outputting them as a complete logical configuration diagram, means for recognizing the user's emotions using an emotion engine, means for proposing a configuration diagram format based on the recognized user's emotions, means for providing support notifications based on emotion recognition, means for providing logical configuration diagrams output according to departmental formats, means for performing error checking and data format verification, and means for inputting network equipment information within the logistics center. This streamlines the design and construction of the logistics center network and enables flexible support tailored to the emotions of employees.

[1235] A "physical layer configuration diagram" is a diagram showing the physical arrangement and connection relationships of network equipment, cables, and other components.

[1236] "Means of input" refer to functions or devices that allow users to input drawings or data into the system.

[1237] "Means for analysis and extraction of physical elements" refers to a device or software that analyzes input data and extracts physical components such as network equipment and cables.

[1238] "Means for generating a data link layer configuration diagram" refers to a device or software that has the function of creating a diagram showing the connection relationships and protocols of the data link layer based on extracted physical elements.

[1239] "Means for generating a network layer configuration diagram" refers to a device or software that has the function of creating a diagram showing the routing and IP address relationships of the network layer based on the data link layer configuration diagram.

[1240] "Means for generating a transport layer configuration diagram" refers to a device or software that has the function of creating a diagram showing the relationships between transport layer communication protocols and segments, based on the network layer configuration diagram.

[1241] "Means for generating an application layer configuration diagram" refers to a device or software that has the function of creating a diagram showing the relationships between services and protocols in the application layer, based on the transport layer configuration diagram.

[1242] "Means for integrating the configuration diagrams of each layer and outputting them as a complete logical configuration diagram" refers to a device or software that has the function of combining the generated configuration diagrams of each layer into a single integrated diagram and displaying or saving it.

[1243] "Means of recognizing a user's emotions using an emotion engine" refers to a device or software that has the function of detecting and analyzing emotions from the user's voice, facial expressions, etc.

[1244] "Means for suggesting a configuration diagram format based on recognized user emotions" refers to a device or software that has the function of suggesting the optimal configuration diagram format and layout to the user according to the detected emotion data.

[1245] "Means of providing support notifications based on emotion recognition" refers to devices or software that have the function of providing appropriate support or assistance in response to the stress, confusion, etc., that the user is experiencing.

[1246] "Means for providing logical diagrams output according to departmental formats" refers to a device or software that has the function of outputting and distributing logical diagrams in a format suitable for different departments or roles.

[1247] "Means for error checking and data format verification" refers to devices or software that have the function of detecting and correcting errors and inconsistencies in input data or generated configuration diagrams.

[1248] "Means for inputting network equipment information within a logistics center" refers to functions or devices for inputting information from various network devices located within a logistics center into a system.

[1249] This invention relates to a system that streamlines the design and construction of networks within logistics centers and provides support notifications tailored to employee sentiment and configuration diagrams in an optimal format. The embodiments for carrying out the invention are described in detail below.

[1250] Program Overview

[1251] Input for the physical layer configuration diagram

[1252] The server receives a physical layer configuration diagram file uploaded by the user. This diagram file contains information about network devices (switches, routers, cables, etc.) in JSON or XML format. The server then analyzes this input data and extracts the physical elements.

[1253] Data analysis and extraction

[1254] The server verifies the format of the input file and performs data integrity and error checking. Next, it analyzes the physical layer information and extracts physical elements such as network devices and cables. This is done using a dedicated analysis engine or software.

[1255] Generation of diagrams for each layer

[1256] Based on the extracted physical elements, the server first generates a configuration diagram for the data link layer, and then sequentially generates configuration diagrams for the network layer, transport layer, and application layer. Each configuration diagram is created using dedicated network diagram generation software.

[1257] Integration and output of complete logical diagrams

[1258] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. This diagram is saved in PDF or other file formats and provided in a format suitable for different departments or roles as needed.

[1259] Recognizing and responding to user emotions

[1260] The server uses an emotion engine to recognize the user's emotions based on user actions, inputs, and information from the camera. Based on the recognized emotion information, it suggests configuration diagram formats and provides support notifications. As a result, if the user feels stressed or confused, a simplified configuration diagram format or a support chatbot is automatically provided.

[1261] Hardware and software to be used

[1262] Hardware: Servers, smartphone cameras, smart glasses cameras, robot sensors, etc.

[1263] Software: EmotionEngine (emotion recognition engine), NetworkDiagramGenerator (configuration diagram generation engine)

[1264] Specific example

[1265] For example, consider a scenario where a logistics center employee, wearing smart glasses, uploads a network configuration diagram as a JSON file. When the server receives the file, the analysis engine extracts information from the physical layer and sequentially generates configuration diagrams for the data link layer, network layer, transport layer, and application layer. Finally, an integrated logical configuration diagram is output in PDF format.

[1266] Furthermore, if the person in charge repeatedly performs the same operation during their work, the smart glasses' camera captures this, and the emotion engine detects stress. Based on this emotion information, the server suggests a simplified configuration diagram format and automatically displays operation guides and support chatbots.

[1267] Example of a prompt

[1268] "Please upload a network configuration diagram of the logistics center as a JSON file and automatically generate a logical configuration diagram from the physical layer to the application layer. Design a program that suggests the optimal format based on the user's needs and provides necessary support."

[1269] The above describes the details of the embodiment for carrying out the invention. This system streamlines the design and construction of logistics center networks and enables flexible support that responds to the emotions of employees.

[1270] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1271] Step 1:

[1272] The user uploads a network configuration diagram file of the logistics center to the server in JSON format using a smartphone or terminal. The input data is a JSON file containing information about network devices such as switches, routers, and cables. The server receives this file and proceeds to the next analysis step.

[1273] Step 2:

[1274] The server verifies that the uploaded JSON file is in the correct format. First, it performs a JSON format integrity check, verifying the validity of each element based on the defined schema. If errors are found, the user is notified and prompted to correct them. Once the verification is complete, the JSON data moves on to the next parsing step.

[1275] Step 3:

[1276] The server uses a data analysis engine to extract the physical elements of network devices from a JSON file. This analysis engine extracts information such as the type of network device, connection information, and port information, and organizes them as physical elements. The data extracted at this stage is then passed on to the next step.

[1277] Step 4:

[1278] The server generates a data link layer configuration diagram based on the extracted physical elements. The data link layer diagram shows the connection relationships based on MAC addresses of switches, bridges, and other components. This configuration diagram contains only the information necessary at the data link layer level and serves as input data for proceeding to the next step.

[1279] Step 5:

[1280] The server generates a network layer configuration diagram based on the data link layer configuration diagram. The network layer diagram generates a diagram based on the IP addresses and routing tables of routers and Layer 3 switches. The generated network layer configuration diagram is then used to proceed to the next step.

[1281] Step 6:

[1282] The server generates a transport layer configuration diagram based on the network layer configuration diagram. The transport layer contains information about communication paths and port numbers based on protocols such as TCP and UDP. This information is organized to create the transport layer configuration diagram.

[1283] Step 7:

[1284] The server generates an application layer configuration diagram based on the transport layer configuration diagram. The application layer contains configuration information related to the communication of applications such as web servers and mail servers. The generated application layer configuration diagram becomes part of the complete logical configuration diagram that includes all layers.

[1285] Step 8:

[1286] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. This logical configuration diagram is saved in PDF format or other formats. This configuration diagram, which contains comprehensive information, is provided in different formats for each department.

[1287] Step 9:

[1288] The server collects emotional information obtained from users during uploads and operations via smart glasses or smartphones, and uses an emotion engine to recognize the user's emotions. This emotional information is used to detect user stress, confusion, and other emotional states.

[1289] Step 10:

[1290] The server suggests the optimal configuration diagram format based on the recognized user's emotional information. For example, if the user is feeling stressed, it provides a simplified configuration diagram; if positive emotions are detected, it provides a detailed configuration diagram. Furthermore, emotional recognition triggers support notifications, and a support chatbot is automatically activated as needed.

[1291] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[1292] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1293] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[1294] [Fourth Embodiment]

[1295] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1296] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1297] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1298] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[1299] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[1300] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[1301] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[1302] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[1303] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[1304] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1305] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1306] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[1307] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1308] This invention relates to a system for telecommunications carriers to automatically generate a configuration diagram ranging from a physical layer diagram to a logical configuration diagram that includes the application layer. This system significantly reduces the time and effort required for network design and construction, enabling efficient operation.

[1309] Program Overview

[1310] This system has the following main functions:

[1311] 1. Input the physical layer configuration diagram.

[1312] 2. Analyze the input physical layer configuration diagram and extract the physical elements.

[1313] 3. Generate a diagram of the data link layer configuration based on the extracted physical elements.

[1314] 4. Generate a network layer configuration diagram based on the data link layer configuration diagram.

[1315] 5. Generate a transport layer configuration diagram based on the network layer configuration diagram.

[1316] 6. Generate an application layer configuration diagram based on the transport layer configuration diagram.

[1317] 7. Integrate the generated diagrams for each layer and output them as a complete logical diagram.

[1318] 8. Provide the generated logical configuration diagram according to the format of each department.

[1319] Program processing

[1320] Input for the physical layer configuration diagram

[1321] The user uploads a configuration diagram representing the physical layer to the server. This diagram can be in formats such as JSON or XML and includes information about switches, routers, cables, etc.

[1322] Specific example: A user uploads a physical layer configuration diagram of their office network as a JSON file. The diagram includes components such as switch A, router B, and cable C.

[1323] Data analysis and extraction

[1324] The server analyzes the uploaded configuration diagram data and extracts physical elements (switches, routers, cables, etc.). Error checking and data format verification are also performed during this process.

[1325] Specific example: The server reads a JSON file, parses information about each device based on the schema, and extracts physical elements such as switch A, router B, and cable C.

[1326] Generation of diagrams for each layer

[1327] Based on the extracted physical elements, the server first generates a configuration diagram for the data link layer, and then sequentially generates configuration diagrams for the network layer, transport layer, and application layer.

[1328] Specific example: The server creates a data link layer configuration diagram based on the extracted MAC address and port information of switch A. Next, it creates a network layer configuration diagram using the IP address information of router B, and then generates a transport layer configuration diagram based on the TCP port information of web server C.

[1329] Integration and output of complete logical diagrams

[1330] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. The output is in a format such as PDF, and is provided in a format conforming to the specific format of each department as needed.

[1331] Specific example: The server integrates information from the data link layer, network layer, transport layer, and application layer, and outputs it as a single logical configuration diagram in PDF format.

[1332] Error checking and formatting for each department.

[1333] The server performs error checking and data format verification on the input data. It can also provide the generated logical configuration diagram in a format tailored to the needs of each department.

[1334] Specific example: The server checks for formatting errors during data analysis and provides feedback to the user if errors are found. The generated configuration diagram is provided in two formats: a simplified version for the sales department and a detailed version for the technical department.

[1335] In this way, the present invention provides a means for efficiently and accurately designing and constructing complex networks, enabling telecommunications carriers to quickly respond to network evolution.

[1336] The following describes the processing flow.

[1337] Step 1:

[1338] The user uploads a physical layer configuration diagram file to the server. The configuration diagram file contains information about network devices (switches, routers, cables, etc.) in JSON or XML format.

[1339] Step 2:

[1340] The server receives the uploaded file and begins analyzing the data. First, it checks if the file format is correct and verifies the integrity of the elements.

[1341] Step 3:

[1342] The server extracts physical elements (switches, routers, cables, etc.) from the file. At this time, it identifies the role and connection information of each device and stores it in a database.

[1343] Step 4:

[1344] The server generates a data link layer configuration diagram based on the extracted physical elements. For example, it collects MAC addresses and connected device information for each port of a switch and creates a link map.

[1345] Step 5:

[1346] The server generates a network layer configuration diagram based on the data link layer configuration diagram. It obtains IP addresses and subnet information from the router and forms the network topology.

[1347] Step 6:

[1348] The server generates a transport layer configuration diagram based on the network layer configuration diagram. Here, the communication protocol and port number (TCP / UDP) for each device are configured.

[1349] Step 7:

[1350] The server generates an application layer configuration diagram based on the transport layer configuration diagram. Configuration information for each server and service (Web, email, FTP, etc.) is added to complete the application map.

[1351] Step 8:

[1352] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. This diagram is saved in PDF or other formats.

[1353] Step 9:

[1354] The server provides logical configuration diagrams output according to the format specific to each department. It generates simplified configuration diagrams for the sales department and detailed configuration diagrams for the technical department.

[1355] Step 10:

[1356] The server provides the user with a generated configuration diagram. The user can then review it and use it for their work or projects.

[1357] (Example 1)

[1358] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1359] Traditional network design and construction processes heavily rely on manual drawing and data entry, requiring considerable time and effort. Furthermore, outputting data in the appropriate format to meet the needs of each department is difficult, and inadequate error checking makes design errors more likely. This makes it challenging for telecommunications carriers to build and operate networks quickly and efficiently.

[1360] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[1361] In this invention, the server includes means for inputting a physical layer configuration diagram, means for analyzing the input physical layer configuration diagram and extracting physical elements, and means for generating a data link layer configuration diagram based on the extracted physical elements. This reduces manual time and effort, automates error checking and data format verification, and enables the generation of accurate configuration diagrams. Furthermore, the generated logical configuration diagrams can be output in a format appropriate for each department, supporting rapid network design and efficient operation.

[1362] A "physical layer configuration diagram" is a diagram that shows the physical connection status of a network, detailing the placement and connection relationships of physical network devices (switches, routers, cables, etc.).

[1363] "Input" refers to the act of inputting data into a system, and in this invention, it refers to the act of uploading a diagram of the physical layer configuration to the system.

[1364] "Analysis" is the process of examining given information in detail to clarify its constituent elements and state. In this invention, it is the process of examining the configuration diagram of the physical layer in detail to identify and extract the physical elements.

[1365] "Physical elements" refer to the physical devices that make up a network configuration (switches, routers, cables, etc.) and their connection status.

[1366] A "data link layer configuration diagram" is a diagram that shows the communication relationships of the second layer (data link layer) of the OSI reference model, illustrating in detail the communication between devices using MAC addresses and other methods.

[1367] A "network layer configuration diagram" is a diagram that shows the communication relationships of the third layer (network layer) of the OSI reference model, and provides a detailed explanation of communication paths using IP addresses.

[1368] A "transport layer configuration diagram" is a diagram that shows the communication relationships of the fourth layer (transport layer) of the OSI reference model, and it shows the details of the communication, including TCP and UDP port information for each device.

[1369] An "application layer configuration diagram" is a diagram that shows the communication relationships of the 7th layer (application layer) of the OSI reference model, and provides a detailed explanation of the communication of application protocols and services.

[1370] A "logical configuration diagram" is a diagram that shows the logical connection state of the entire network, generated by integrating the configuration diagrams of each layer, and contains all the information necessary to understand how the network operates.

[1371] "Error checking" is the process of verifying the integrity and format accuracy of data, and is a process for detecting inconsistencies and errors.

[1372] "A format tailored to the needs of each department" means a format customized according to the level of detail and format required by different departments (for example, the sales department or the technical department).

[1373] This invention relates to a system for telecommunications carriers to automatically generate logical configuration diagrams from physical layer configuration diagrams. This system significantly reduces the time and effort required for network design and construction, enabling efficient operation.

[1374] System Overview

[1375] This system uses the following main hardware and software components.

[1376] Server: A high-performance data processing server. This server is central to managing everything from data analysis and diagram generation to error checking and final output.

[1377] Device: The PC or tablet used by the user to access the system. The interface is provided through a web browser or a dedicated application.

[1378] Software tools include a Structure Analysis Module, a Layer Generation Engine for generating diagrams of each layer, an Integration Module, and an Output Module.

[1379] System operation

[1380] 1. Input for the physical layer configuration diagram:

[1381] Users upload a diagram of the physical layer configuration to the server in JSON or XML format using a web browser.

[1382] Specific example: A user uploads a physical layer configuration diagram of their office network as a JSON file. The diagram includes components such as switch A, router B, and cable C.

[1383] 2. Data analysis and extraction of physical elements:

[1384] Upon receiving the uploaded configuration diagram, the server uses the Structure Analysis Module to verify and analyze the data format. Physical elements such as switches, routers, and cables are then extracted.

[1385] Specific example: The server reads a JSON file, parses information about each device based on the schema, and extracts physical elements such as switch A, router B, and cable C.

[1386] 3. Generating a diagram of the structure of each layer:

[1387] The server generates configuration diagrams for each layer based on the extracted physical elements. These are created in the following order: data link layer, network layer, transport layer, and application layer.

[1388] Specific example: The server generates a data link layer configuration diagram based on the MAC address and port information of switch A, then generates a network layer configuration diagram based on the IP address information of router B, and finally generates a transport layer configuration diagram based on the TCP port information of web server C.

[1389] 4. Integration of the complete logical diagram:

[1390] The server uses the Layer Generation Engine and Integration Module to integrate the configuration diagrams of each layer and output them as a complete logical configuration diagram.

[1391] Specific example: The server integrates information from the data link layer, network layer, transport layer, and application layer, and outputs it as a single logical configuration diagram in PDF format.

[1392] 5. Output and format support:

[1393] The server provides the generated logical configuration diagrams in a format tailored to the needs of each department. It also includes error checking and feedback functions.

[1394] Specific example: The server is provided in two formats: a simplified version for the sales department and a detailed version for the technical department.

[1395] Examples of specific prompt messages

[1396] "Please upload the physical layer diagram of your office network and generate the logical configuration diagram."

[1397] "Please parse this JSON file and create a diagram showing the architecture from the data link layer to the application layer."

[1398] In this way, this system enables telecommunications carriers to design and build networks quickly and efficiently.

[1399] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1400] Step 1:

[1401] Upload physical layer configuration diagram

[1402] The user uploads a physical layer configuration diagram to the server. The interface is provided via a web browser or a dedicated application, and the input is a file in JSON or XML format. When the user uploads this file to the system, the data of the physical layer configuration diagram is sent to the server.

[1403] Specific operation: The user clicks the upload button in the web browser interface and sends a selected JSON file from their local disk to the server.

[1404] Step 2:

[1405] Data analysis and extraction of physical elements

[1406] The server receives the uploaded configuration diagram and analyzes the data using the Structure Analysis Module. It also verifies the data format and extracts the physical elements (switches, routers, cables, etc.) described in the configuration diagram.

[1407] Input: Physical layer configuration file in JSON or XML format received by the server

[1408] Output: A list of extracted physical elements (e.g., Switch A, Router B, Cable C)

[1409] Specific operation: The server reads the file using a JSON parser, analyzes the device information based on the schema, and identifies and extracts each physical element.

[1410] Step 3:

[1411] Generating a diagram of the data link layer

[1412] The server generates a data link layer configuration diagram based on the extracted physical elements. Using the Layer Generation Engine, it combines the MAC addresses and port information of the physical devices to create a configuration diagram showing the connectivity relationships of the data link layer.

[1413] Input: Extracted physical elements (e.g., MAC address of switch A, port information of router B, etc.)

[1414] Output: Data link layer configuration diagram

[1415] Specific operation: The server uses the MAC address and port information of switch A to identify data links between network devices and generate a configuration diagram.

[1416] Step 4:

[1417] Generating a Network Layer Configuration Diagram

[1418] The server generates a network layer configuration diagram based on the data link layer configuration diagram. Based on the IP address information of the network devices, it creates a configuration diagram showing the IP communication paths between each device.

[1419] Input: Data link layer configuration diagram, IP address information of network devices

[1420] Output: Network layer configuration diagram

[1421] Specific operation: The server uses the IP address information of router B to identify IP routing between devices and generates a network layer configuration diagram.

[1422] Step 5:

[1423] Generating a diagram of the transport layer

[1424] The server generates a transport layer configuration diagram based on the network layer configuration diagram. It creates a configuration diagram showing the communication paths of the transport protocol based on the TCP / UDP port information of each device.

[1425] Input: Network layer configuration diagram, TCP / UDP port information of the device.

[1426] Output: Transport layer configuration diagram

[1427] Specific operation: The server uses TCP port information from Web server C, etc., to identify TCP / UDP communication between devices and generate a transport layer configuration diagram.

[1428] Step 6:

[1429] Generating an application layer configuration diagram

[1430] The server generates an application layer configuration diagram based on the transport layer configuration diagram. Based on the protocol and service information of each application, it creates a configuration diagram showing the communication paths between applications.

[1431] Input: Transport layer configuration diagram, application protocol information

[1432] Output: Application layer configuration diagram

[1433] Specific operation: The server uses the protocol information of each application to identify the communication paths between applications and generates a configuration diagram.

[1434] Step 7:

[1435] Integration of complete logical diagrams

[1436] The server integrates the generated diagrams for each layer to create a complete logical diagram. It outputs this diagram as a single, unified document, while maintaining the relationships between each layer.

[1437] Input: Configuration diagrams for each layer (data link layer, network layer, transport layer, application layer)

[1438] Output: Complete logical diagram

[1439] Specific operation: The server uses the Integration Module to properly integrate information from each layer and generate a complete logical configuration diagram in PDF format.

[1440] Step 8:

[1441] Output and format support

[1442] The server provides the completed logical configuration diagram in a format tailored to the needs of each department. It also includes functions for error checking and format verification, and provides feedback to the user.

[1443] Input: Complete logical diagram

[1444] Output: Logical diagrams in a format specific to each department, and error check results.

[1445] Specific operation: The server uses the Output Module to convert the logical configuration diagram into a simplified version for the sales department and a detailed version for the technical department, providing them in a format suitable for each department. It also notifies the user of the error check results via email.

[1446] (Application Example 1)

[1447] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1448] Traditional network design and security diagnostic systems require time and effort to design each layer of the network diagram individually, making it difficult to centrally assess the security risks of the entire system. Furthermore, security risk diagnosis and report generation are not automated, resulting in manual effort. Additionally, generated diagrams and reports are often not provided in departmental formats, hindering smooth information sharing between departments.

[1449] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[1450] In this invention, the server includes means for inputting a physical layer configuration diagram, means for analyzing the input physical layer configuration diagram and extracting physical elements, means for generating a data link layer configuration diagram based on the extracted physical elements, means for generating a network layer configuration diagram based on the data link layer configuration diagram, means for generating a transport layer configuration diagram based on the network layer configuration diagram, means for generating an application layer configuration diagram based on the transport layer configuration diagram, means for identifying security risks based on the configuration diagrams of each layer, means for generating a security report based on the identified security risks, and means for integrating the generated configuration diagrams and security reports of each layer and outputting them as a complete logical configuration diagram. This enables efficient network design and security diagnostics, and allows for the provision of configuration diagrams and security reports in formats specific to each department.

[1451] A "physical layer configuration diagram" is a diagram that shows the hardware elements of a network (switches, routers, cables, etc.) and their connection information.

[1452] "Analysis" is the process of deciphering input data and extracting its meaning and elements.

[1453] "Physical elements" refer to the actual hardware devices, cables, and other physical components that make up a network.

[1454] A "data link layer configuration diagram" is a diagram of the layer within a network model that manages physical connections and transmits data frames.

[1455] A "network layer configuration diagram" is a diagram of the layers that manage the transfer and routing of data between different networks.

[1456] A "transport layer configuration diagram" is a diagram of the layers that provide control and reliability for end-to-end data transmission.

[1457] An "application layer configuration diagram" is a diagram of the layers that define the operation of applications and services running on a network.

[1458] "Security risk" refers to elements or vulnerabilities that could potentially lead to threats or attacks against a network or system.

[1459] A "security report" is a document that describes detailed analysis results and countermeasures for identified security risks.

[1460] "Integration" is the process of combining individually generated diagrams and reports into a single, cohesive form.

[1461] "Departmental formats" refer to guidelines for creating documents and drawings according to the specific formats and specifications required by each department.

[1462] This invention relates to a system that automatically identifies security risks based on a corporate network configuration diagram and generates an integrated security report. This system enables efficient network design and security assessment, and allows for the provision of configuration diagrams and security reports in formats specific to each department.

[1463] Hardware and software to be used

[1464] hardware

[1465] Server: A computer system used for data analysis and the integration of generated configuration diagrams and reports.

[1466] Terminal: A device that provides a user interface for network administrators to upload configuration diagrams and receive the results.

[1467] software

[1468] Python Library: A programming language library for data analysis, network diagram generation, and security assessments.

[1469] JSON: Analysis of the input network configuration diagram.

[1470] XML: Analysis of the input network configuration diagram.

[1471] networkx: Generates configuration diagrams for the data link layer, network layer, transport layer, and application layer.

[1472] bandit: Security risk identification.

[1473] ReportLab: Outputs the generated report as a PDF.

[1474] Specific steps of the process

[1475] 1. Input for the physical layer configuration diagram

[1476] Users upload network configuration diagrams to the server in JSON or XML format. This defines the physical elements (switches, routers, cables, etc.).

[1477] 2. Data Analysis and Extraction

[1478] The server analyzes the input configuration diagram and extracts the physical elements. This process utilizes JSON and XML libraries.

[1479] 3. Generating a diagram of the structure of each layer

[1480] Based on the extracted physical elements, the server uses the networkx library to generate configuration diagrams for the data link layer, network layer, transport layer, and application layer.

[1481] 4. Security assessment

[1482] Based on the generated configuration diagrams for each layer, the server identifies security risks using security tools such as Bandit.

[1483] 5. Generating a security report

[1484] The server generates a detailed security report based on the identified security risks and outputs it in PDF format using the ReportLab library.

[1485] 6. Output and Provision

[1486] The server integrates the generated configuration diagrams and security reports for each layer and provides them to the user. The output reports are customized according to the format of each department.

[1487] Specific example

[1488] Here's an example of how a company's IT department might use this system. A network administrator uploads a corporate network configuration diagram to the system in JSON file format. The system analyzes the diagram and extracts physical elements such as switches, routers, and cables. It then generates configuration diagrams for the data link layer, network layer, transport layer, and application layer. Next, a security assessment is performed based on each layer's diagram to identify security risks. Finally, a security report containing the identified risks is generated in PDF format and provided to the IT department and other relevant departments.

[1489] Example of a prompt

[1490] Develop an enterprise-grade network security diagnostic application. Please follow these steps:

[1491] 1. Receive a network configuration diagram in JSON or XML format as input.

[1492] 2. Analyze the configuration diagram and extract the physical elements (switches, routers, cables, etc.).

[1493] 3. Based on the extracted elements, generate configuration diagrams for the data link layer, network layer, transport layer, and application layer.

[1494] 4. Based on the configuration diagrams of each layer, identify security risks and generate diagnostic results.

[1495] 5. Integrate the diagnostic results and output a complete security report in PDF or HTML format.

[1496] Libraries to use:

[1497] Python's JSON or XML library

[1498] NetworkX

[1499] OWASP tools, Bandit

[1500] ReportLab

[1501] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1502] Step 1:

[1503] The user uploads a network configuration diagram to the server. The input is a network configuration diagram in JSON or XML format. This diagram includes information on physical elements such as switches, routers, and cables.

[1504] Step 2:

[1505] The server parses the input configuration diagram. This parsing uses a JSON or XML library to read the configuration diagram and extract the physical elements (switches, routers, cables). The input is the configuration diagram data, and the output is a list of physical elements.

[1506] Step 3:

[1507] The server generates a data link layer configuration diagram based on the extracted physical elements. This process uses the networkx library to convert the connection information of each element into a graph structure for the data link layer. The input is a list of physical elements, and the output is a data link layer configuration diagram.

[1508] Step 4:

[1509] The server generates a network layer configuration diagram based on the data link layer configuration diagram. Using the networkx library, it considers IP addresses and routing information to create a graph structure for the network layer. The input is the data link layer configuration diagram, and the output is the network layer configuration diagram.

[1510] Step 5:

[1511] The server generates a transport layer configuration diagram based on the network layer configuration diagram. It uses the configuration information from the data link layer and network layer to add the necessary port information and communication protocols to the transport layer configuration diagram. The input is the network layer configuration diagram, and the output is the transport layer configuration diagram.

[1512] Step 6:

[1513] The server generates an application layer configuration diagram based on the transport layer configuration diagram. It creates the application layer configuration diagram based on service and protocol information related to the application layer. The input is the transport layer configuration diagram, and the output is the application layer configuration diagram.

[1514] Step 7:

[1515] The server identifies security risks based on the configuration diagrams of each layer. Security diagnostic tools such as Bandit are used to analyze the security risks hidden within the configuration diagrams. The input is the complete configuration diagram up to the application layer, and the output is a list of identified security risks.

[1516] Step 8:

[1517] The server generates a detailed security report based on the identified security risks. Using the ReportLab library, it outputs a report in PDF format detailing each risk and its countermeasures. The input is a list of security risks, and the output is a security report in PDF format.

[1518] Step 9:

[1519] The server integrates the generated configuration diagrams and security reports for each layer and provides them to the user. The output is customized according to departmental formats and is output in a way that meets the specific requirements of each department. The input is the configuration diagrams and security reports for each layer, and the output is a formatted, integrated configuration diagram and report.

[1520] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[1521] This invention combines a system that automatically generates a logical configuration diagram including the application layer from a configuration diagram representing the physical layer with an emotion engine that recognizes user emotions. This system provides support for telecommunications carriers to design and build networks quickly and efficiently.

[1522] Program Overview

[1523] This system has the following main functions:

[1524] 1. A means of inputting the configuration diagram of the physical layer.

[1525] 2. A means for analyzing the configuration diagram of the input physical layer and extracting the physical elements.

[1526] 3. A means for generating a data link layer configuration diagram based on extracted physical elements.

[1527] 4. A means for generating a network layer configuration diagram based on a data link layer configuration diagram.

[1528] 5. A means for generating a transport layer configuration diagram based on a network layer configuration diagram.

[1529] 6. A means for generating an application layer configuration diagram based on a transport layer configuration diagram.

[1530] 7. A means of integrating the generated configuration diagrams for each layer and outputting them as a complete logical configuration diagram.

[1531] 8. Means for providing a logical configuration diagram output according to the format of each department.

[1532] 9. An emotion engine that recognizes the user's emotions.

[1533] 10. A means of suggesting the optimal configuration diagram format based on recognized user emotions.

[1534] 11. A means of automatically sending support notifications when the recognized user's emotions meet certain criteria.

[1535] Program processing

[1536] Input for the physical layer configuration diagram

[1537] The user uploads a configuration diagram file representing the physical layer to the server. The configuration diagram file contains information about network devices (switches, routers, cables, etc.) in JSON or XML format.

[1538] Specific example: A user uploads a physical layer configuration diagram of their office network as a JSON file. The diagram includes components such as switch A, router B, and cable C.

[1539] Data analysis and extraction

[1540] The server receives the uploaded file and begins analyzing the data. It verifies that the file format is correct and checks the integrity of the elements. It also performs error checking and verifies the data format.

[1541] Specific example: The server reads a JSON file, parses information about each device based on the schema, and extracts physical elements such as switch A, router B, and cable C.

[1542] Generation of diagrams for each layer

[1543] Based on the extracted physical elements, the server first generates a configuration diagram for the data link layer, and then sequentially generates configuration diagrams for the network layer, transport layer, and application layer.

[1544] Specific example: The server creates a data link layer configuration diagram based on the extracted MAC address and port information of switch A. Next, it creates a network layer configuration diagram using the IP address information of router B, and then generates a transport layer configuration diagram based on the TCP port information of web server C. Finally, it generates an application layer configuration diagram based on the configuration information of each application (e.g., web server and mail server).

[1545] Integration and output of complete logical diagrams

[1546] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. This diagram is saved in PDF or other formats and provided in different formats for each department as needed.

[1547] Specific example: The server outputs a complete logical configuration diagram in PDF format, integrating information from the data link layer, network layer, transport layer, and application layer. A simplified configuration diagram is generated and provided to the sales department, while a detailed configuration diagram is provided to the technical department.

[1548] Recognizing and responding to user emotions

[1549] The server uses an emotion engine to recognize the user's emotions based on their actions and inputs. Based on the recognized emotion information, the system generates the optimal configuration diagram format and proposes it to the user. Furthermore, if the user experiences a certain level of stress or confusion, the system automatically sends a support notification.

[1550] Specific example: If the server detects stress from a user repeatedly performing the same operation, it automatically displays a simplified operation guide or a support chatbot. Furthermore, if the user's emotions are positive, it meets the user's expectations by suggesting a detailed configuration diagram format.

[1551] In this way, the present invention provides a means for efficiently and accurately designing and constructing complex networks, and also makes it possible to improve the user experience by recognizing and responding to user emotions.

[1552] The following describes the processing flow.

[1553] Step 1:

[1554] The user uploads a physical layer configuration diagram file to the server. The configuration diagram file contains information about network devices (switches, routers, cables, etc.) in JSON or XML format.

[1555] Step 2:

[1556] The server receives the uploaded file and begins analyzing the data. It verifies that the file format is correct and checks the integrity of the elements. It also performs error checking and verifies the data format.

[1557] Step 3:

[1558] The server extracts physical elements (switches, routers, cables, etc.) from the file. At this time, it identifies the role and connection information of each device and stores it in a database.

[1559] Step 4:

[1560] The server generates a data link layer configuration diagram based on the extracted physical elements. For example, it collects MAC addresses and connected device information for each port of a switch and creates a link map.

[1561] Step 5:

[1562] The server generates a network layer configuration diagram based on the data link layer configuration diagram. It obtains IP addresses and subnet information from the router and forms the network topology.

[1563] Step 6:

[1564] The server generates a transport layer configuration diagram based on the network layer configuration diagram. Here, the communication protocol and port number (TCP / UDP) for each device are configured.

[1565] Step 7:

[1566] The server generates an application layer configuration diagram based on the transport layer configuration diagram. Configuration information for each server and service (Web, email, FTP, etc.) is added to complete the application map.

[1567] Step 8:

[1568] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. This diagram is saved in PDF or other formats.

[1569] Step 9:

[1570] The server provides logical configuration diagrams output according to the format specific to each department. It generates simplified configuration diagrams for the sales department and detailed configuration diagrams for the technical department.

[1571] Step 10:

[1572] The server uses an emotion engine to recognize the user's emotions based on their actions and input. This engine infers emotions from factors such as the speed and frequency of keyboard and mouse operations, and the number of input errors.

[1573] Step 11:

[1574] The server suggests the optimal configuration diagram format based on the recognized user's emotions. If the emotions are positive, it provides a detailed configuration diagram; if negative, it provides a simplified one.

[1575] Step 12:

[1576] The server automatically sends a support notification if the user's emotional state meets certain criteria (e.g., high stress or confusion is detected). This notification includes alerts to the technical support team and the display of help guides.

[1577] Step 13:

[1578] The server provides users with interactive support options if a particular emotional state persists. For example, it might offer a live chat function or links to video tutorials.

[1579] (Example 2)

[1580] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1581] Manually creating configuration diagrams for each layer, from the physical layer to the application layer, in network design and construction is extremely time-consuming and labor-intensive. Furthermore, there is a lack of appropriate formats that consider the user's emotional state, as well as adequate support for the stress and confusion users may experience. This results in challenges such as decreased design efficiency and a decline in the quality of the user experience.

[1582] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[1583] In this invention, the server includes means for inputting a physical layer configuration diagram, means for analyzing the input physical layer configuration diagram and extracting physical elements, means for generating a data link layer configuration diagram based on the extracted physical elements, means for generating a network layer configuration diagram based on the data link layer configuration diagram, means for generating a transport layer configuration diagram based on the network layer configuration diagram, means for generating an application layer configuration diagram based on the transport layer configuration diagram, means for integrating the generated configuration diagrams of each layer and outputting them as a complete logical configuration diagram, an emotion engine for recognizing the user's emotions, means for proposing an optimal configuration diagram format based on the recognized user emotions, and means for providing support notifications when the user's emotions meet the criteria. This makes it possible to automatically and efficiently generate configuration diagrams for each layer and provide support according to the user's emotional state.

[1584] A "physical layer configuration diagram" is a diagram that illustrates the physical elements of a network (e.g., cables, switches, routers, etc.) and shows their connection status.

[1585] The "data link layer" is a layer located above the physical layer in a network model, and it manages data transfer between directly connected devices.

[1586] The "network layer" is the layer that enables data transfer between different networks, and it is primarily the layer that routes data using IP addresses.

[1587] The "transport layer" is the layer responsible for establishing, managing, and terminating communication sessions, as well as ensuring data reliability and controlling traffic flow.

[1588] The "application layer" is the highest layer on which application software directly used by end users operates, and it is the layer that provides specific services (e.g., email, file transfer, web access, etc.).

[1589] An "emotion engine" is an algorithm or system that analyzes user input and actions to estimate the user's emotional state at that time.

[1590] A "configuration diagram format" is a display format for configuration diagrams that is created to suit a specific purpose or department.

[1591] A "support notification" is a notification that is sent to provide appropriate assistance to users when they are experiencing difficulties or confusion.

[1592] This invention combines a system that automatically generates logical configuration diagrams from the physical layer to the application layer with an emotion engine that recognizes user emotions. This system provides support for telecommunications carriers and others to quickly and efficiently design and build networks. The following describes in detail the embodiments for which this invention is specifically implemented.

[1593] Hardware and software configuration

[1594] Users use a device (e.g., a PC or tablet) to upload a configuration diagram file representing the physical layer to the server. This device has a web browser and an FTP client installed, enabling file uploads.

[1595] The server analyzes the uploaded files and generates a diagram of each layer's structure. The following software is installed on the server:

[1596] 1. JSON parser

[1597] 2. Network Topology Engine

[1598] 3. Emotion Recognition Engine

[1599] 4. PDF generation software

[1600] The server also uses machine learning models (e.g., generative AI models) to recognize the user's emotional state and provide configuration diagrams and support notifications in the appropriate format.

[1601] Program processing

[1602] The user uploads a physical layer configuration diagram file to the server. The file contains information about network devices (switches, routers, cables, etc.) in JSON or XML format.

[1603] The server receives the uploaded file and begins parsing the data using a JSON parser. It verifies that the file format is correct and checks the integrity of each element. It also performs error checking and verifies the data format.

[1604] Next, the server generates a configuration diagram of the data link layer based on the extracted physical elements. This is done by generating a graph of the physical connectivity using a network topology engine. Subsequently, configuration diagrams for the network layer, transport layer, and application layer are generated sequentially. For example, the configuration diagrams for each layer are created using the router's IP address information and the web server's TCP port information.

[1605] The server integrates the configuration diagrams of each generated layer and outputs them as a complete logical configuration diagram. This diagram is saved in PDF format or other formats and provided in different formats for each department as needed. For example, a simplified configuration diagram is generated for the sales department, and a detailed configuration diagram is generated for the technical department.

[1606] Next, the server uses an emotion engine to recognize the user's emotions based on their actions and inputs. Based on the recognized emotion information, the system generates the optimal configuration diagram format and proposes it to the user. In addition, if the user experiences a certain level of stress or confusion, support notifications are automatically sent.

[1607] Specific example

[1608] As a concrete example, consider a case where a user uploads a physical layer configuration diagram of their office network as a JSON file. The diagram includes components such as switch A, router B, and cable C. The server parses this JSON file and extracts information about each device based on its schema. Next, it generates configuration diagrams for the data link, network, transport, and application layers based on the extracted information, and then integrates them to output a complete logical configuration diagram in PDF format.

[1609] Furthermore, the server analyzes user operation logs and, if it detects stress from users repeatedly performing the same operations, it automatically displays a simplified operation guide or a support chatbot. Additionally, if the user's emotions are positive, it suggests a detailed configuration diagram format.

[1610] Example of a prompt

[1611] The following is an example of a prompt:

[1612] "Please upload the physical layer configuration diagram of the office network in JSON file format, generate configuration diagrams for each layer (data link, network, transport, application), and output the complete logical configuration diagram in PDF format."

[1613] This invention provides a means for efficiently and accurately designing and constructing complex networks, and also makes it possible to improve the user experience by recognizing and responding to user emotions.

[1614] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1615] Step 1: Input of the physical layer configuration diagram

[1616] Users upload configuration diagram files representing the physical layer to the server. These files are in formats such as JSON or XML and include information about network devices (switches, routers, cables, etc.).

[1617] Input: Physical layer configuration diagram file (JSON format, etc.)

[1618] Output: Uploaded configuration diagram file

[1619] Specific actions: The user opens a web browser and accesses the file upload page. They click the "Select File" button, choose the file "network_structure.json" from their local disk, and click the "Upload" button.

[1620] Step 2: Data analysis and extraction

[1621] The server receives the uploaded file and begins parsing the data using a JSON parser. It checks the file format, performs error checking, and verifies the integrity of each element.

[1622] Input: Uploaded diagram file

[1623] Output: Extracted physical elements (device information)

[1624] Specific operation: The server reads the "network_structure.json" file and parses it with a JSON parser. It then matches the schema and extracts information about switch A, router B, and cable C.

[1625] Step 3: Generate a diagram of the data link layer configuration

[1626] The server generates a configuration diagram of the data link layer based on the extracted physical elements. It uses a network topology engine to generate a graph of the physical connectivity.

[1627] Input: Extracted physical elements

[1628] Output: Data link layer configuration diagram

[1629] Specific operation: The server uses the MAC address and port information of switch A to create a network topology diagram of the data link layer using the network topology engine.

[1630] Step 4: Generating a network layer configuration diagram

[1631] The server generates a network layer configuration diagram based on the data link layer configuration diagram, using routing tables and IP address information.

[1632] Input: Data link layer configuration diagram

[1633] Output: Network layer configuration diagram

[1634] Specific operation: The server uses the IP address and subnet information of router B to generate a network layer configuration diagram.

[1635] Step 5: Generate a diagram of the transport layer configuration

[1636] The server generates a transport layer configuration diagram based on the network layer configuration diagram. It uses TCP / UDP port information and session data.

[1637] Input: Network layer configuration diagram

[1638] Output: Transport layer configuration diagram

[1639] Specific operation: The server generates a transport layer configuration diagram based on the TCP / UDP connection information configured between each device.

[1640] Step 6: Generate the application layer configuration diagram

[1641] The server generates an application layer configuration diagram based on the transport layer configuration diagram, using application-specific configuration information.

[1642] Input: Transport layer configuration diagram

[1643] Output: Application Layer Configuration Diagram

[1644] Specific operation: The server generates an application layer configuration diagram based on the configuration information of the web server and mail server.

[1645] Step 7: Integrating and outputting the complete logical diagram

[1646] The server integrates the configuration diagrams of each generated layer and outputs a complete logical configuration diagram. The configuration diagram is saved in PDF format or other formats and provided in different formats for each department as needed.

[1647] Input: Diagram of each layer

[1648] Output: Complete logical diagram (PDF format, etc.)

[1649] Specific operation: The server integrates the configuration diagrams of each layer, generates a simplified configuration diagram for the sales department and a detailed configuration diagram for the technical department as PDFs, and saves them with appropriate filenames.

[1650] Step 8: Recognizing and responding to user emotions

[1651] The server uses an emotion engine to recognize the user's emotions based on their actions and inputs. Based on the recognized emotion information, it proposes the optimal configuration diagram format and automatically sends a support notification if the user's emotions meet the criteria.

[1652] Input: User operation log

[1653] Output: Sentiment recognition results, suggested format, support notification

[1654] Specific operation: The server analyzes the user's operation logs, and if it detects repeated identical operations in a short period, the emotion engine determines the level of stress and displays a support notification such as, "Would you like support until completion?" Furthermore, if a positive emotion is recognized, a detailed configuration diagram format is suggested.

[1655] (Application Example 2)

[1656] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[1657] Modern logistics centers require complex network configurations, and their design and construction demand considerable effort and time. Furthermore, appropriate technical support is necessary to improve employee efficiency. However, a single, unified system exists to achieve all of this. Additionally, there is a need for features such as support notifications based on employee sentiment and the provision of configuration diagrams in individual formats.

[1658] In Application Example 2, the specific processing performed by the specific processing unit 290 of the data processing device 12 is realized by the following means. In this invention, the server includes means for inputting a physical layer configuration diagram, means for analyzing the input physical layer configuration diagram and extracting physical elements, means for generating a data link layer configuration diagram based on the extracted physical elements, means for generating a network layer configuration diagram based on the data link layer configuration diagram, means for generating a transport layer configuration diagram based on the network layer configuration diagram, means for generating an application layer configuration diagram based on the transport layer configuration diagram, means for integrating the generated configuration diagrams of each layer and outputting them as a complete logical configuration diagram, means for recognizing the user's emotions using an emotion engine, means for proposing a configuration diagram format based on the recognized user's emotions, means for providing support notifications based on emotion recognition, means for providing logical configuration diagrams output according to departmental formats, means for performing error checking and data format verification, and means for inputting network equipment information within the logistics center. This streamlines the design and construction of the logistics center network and enables flexible support tailored to the emotions of employees.

[1659] A "physical layer configuration diagram" is a diagram showing the physical arrangement and connection relationships of network equipment, cables, and other components.

[1660] "Means of input" refer to functions or devices that allow users to input drawings or data into the system.

[1661] "Means for analysis and extraction of physical elements" refers to a device or software that analyzes input data and extracts physical components such as network equipment and cables.

[1662] "Means for generating a data link layer configuration diagram" refers to a device or software that has the function of creating a diagram showing the connection relationships and protocols of the data link layer based on extracted physical elements.

[1663] "Means for generating a network layer configuration diagram" refers to a device or software that has the function of creating a diagram showing the routing and IP address relationships of the network layer based on the data link layer configuration diagram.

[1664] "Means for generating a transport layer configuration diagram" refers to a device or software that has the function of creating a diagram showing the relationships between transport layer communication protocols and segments, based on the network layer configuration diagram.

[1665] "Means for generating an application layer configuration diagram" refers to a device or software that has the function of creating a diagram showing the relationships between services and protocols in the application layer, based on the transport layer configuration diagram.

[1666] "Means for integrating the configuration diagrams of each layer and outputting them as a complete logical configuration diagram" refers to a device or software that has the function of combining the generated configuration diagrams of each layer into a single integrated diagram and displaying or saving it.

[1667] "Means of recognizing a user's emotions using an emotion engine" refers to a device or software that has the function of detecting and analyzing emotions from the user's voice, facial expressions, etc.

[1668] "Means for suggesting a configuration diagram format based on recognized user emotions" refers to a device or software that has the function of suggesting the optimal configuration diagram format and layout to the user according to the detected emotion data.

[1669] "Means of providing support notifications based on emotion recognition" refers to devices or software that have the function of providing appropriate support or assistance in response to the stress, confusion, etc., that the user is experiencing.

[1670] "Means for providing logical diagrams output according to departmental formats" refers to a device or software that has the function of outputting and distributing logical diagrams in a format suitable for different departments or roles.

[1671] "Means for error checking and data format verification" refers to devices or software that have the function of detecting and correcting errors and inconsistencies in input data or generated configuration diagrams.

[1672] "Means for inputting network equipment information within a logistics center" refers to functions or devices for inputting information from various network devices located within a logistics center into a system.

[1673] This invention relates to a system that streamlines the design and construction of networks within logistics centers and provides support notifications tailored to employee sentiment and configuration diagrams in an optimal format. The embodiments for carrying out the invention are described in detail below.

[1674] Program Overview

[1675] Input for the physical layer configuration diagram

[1676] The server receives a physical layer configuration diagram file uploaded by the user. This diagram file contains information about network devices (switches, routers, cables, etc.) in JSON or XML format. The server then analyzes this input data and extracts the physical elements.

[1677] Data analysis and extraction

[1678] The server verifies the format of the input file and performs data integrity and error checking. Next, it analyzes the physical layer information and extracts physical elements such as network devices and cables. This is done using a dedicated analysis engine or software.

[1679] Generation of diagrams for each layer

[1680] Based on the extracted physical elements, the server first generates a configuration diagram for the data link layer, and then sequentially generates configuration diagrams for the network layer, transport layer, and application layer. Each configuration diagram is created using dedicated network diagram generation software.

[1681] Integration and output of complete logical diagrams

[1682] The server integrates the generated configuration diagrams for each layer and outputs them as a complete logical configuration diagram. This diagram is saved in PDF or other file formats and provided in a format suitable for different departments or roles as needed.

[1683] Recognizing and responding to user emotions

[1684] The server uses an emotion engine to recognize the user's emotions based on user actions, inputs, and information from the camera. Based on the recognized emotion information, it suggests configuration diagram formats and provides support notifications. As a result, if the user feels stressed or confused, a simplified configuration diagram format or a support chatbot is automatically provided.

[1685] Hardware and software to be used

[1686] Hardware: Servers, smartphone cameras, smart glasses cameras, robot sensors, etc.

[1687] Software: EmotionEngine (emotion recognition engine), NetworkDiagramGenerator (configuration diagram generation engine)

[1688] Specific example

[1689] For example, consider a scenario where a logistics center employee, wearing smart glasses, uploads a network configuration diagram as a JSON file. When the server receives the file, the analysis engine extracts information from the physical layer and sequentially generates configuration diagrams for the data link layer, network layer, transport layer, and application layer. Finally, an integrated logical configuration diagram is output in PDF format.

[1690] Furthermore, if the person in charge repeatedly performs the same operation during their work, the smart glasses' camera captures this, and the emotion engine detects stress. Based on this emotion information, the server suggests a simplified configuration diagram format and automatically displays operation guides and support chatbots.

[1691] Example of a prompt

[1692] "Please upload a network configuration diagram of the logistics center as a JSON file and automatically generate a logical configuration diagram from the physical layer to the application layer. Design a program that suggests the optimal format based on the user's needs and provides necessary support."

[1693] The above describes the details of the embodiment for carrying out the invention. This system streamlines the design and construction of logistics center networks and enables flexible support that responds to the emotions of employees.

[1694] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1695] Step 1:

[1696] The user uplo...

Claims

1. A means of inputting the physical layer configuration diagram, A means for analyzing the input physical layer configuration diagram and extracting physical elements, A means for generating a data link layer configuration diagram based on extracted physical elements, A means for generating a network layer configuration diagram based on a data link layer configuration diagram, A means for generating a transport layer configuration diagram based on a network layer configuration diagram, A means for generating an application layer configuration diagram based on a transport layer configuration diagram, A means to integrate the generated diagrams of each layer and output them as a complete logical diagram, A system that includes this.

2. A means for providing a logical configuration diagram output according to the format of each department, The system according to claim 1, further comprising:

3. Methods for performing error checking and data format verification, The system according to claim 1, further comprising:

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