system

Abstract

We provide the system. [Solution] A means of understanding the configuration of an information processing infrastructure by analyzing the configuration information of existing information processing devices, Based on the above configuration, means for generating a configuration diagram of the information processing infrastructure, Means for generating configuration information for different types of information processing devices, A means for visually displaying a configuration diagram in a portable terminal device, A means of inputting new equipment requirements from a portable terminal device, A means for dynamically generating appropriate configuration information based on the input requirements, 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 persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a 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] For the design of a large-scale information processing infrastructure, engineers with advanced expertise are required, so external commissioning of the design is often necessary. In addition, problems of setting compatibility may occur between different types of information processing devices, which hinders the efficient operation of the information processing infrastructure. There is a need for a method to solve these problems and improve the efficiency of the design and operation of the information processing infrastructure.

Means for Solving the Problems

[0005] This invention provides a means for analyzing the configuration data of existing information processing devices and understanding the configuration of an information processing infrastructure. Furthermore, it provides a system that includes means for generating a configuration diagram of the information processing infrastructure based on this configuration, and means for generating configuration data for different types of information processing devices. This makes it possible for users without advanced expertise to efficiently design and modify the configuration of an information processing infrastructure.

[0006] "Information processing equipment" is a general term for devices that have the functions of inputting, outputting, and processing data, and may include network equipment.

[0007] "Configuration data" refers to data that holds various parameters and configuration information for controlling the operation of an information processing device.

[0008] "Information processing infrastructure" refers to the overall system environment in which information processing devices are interconnected to form a network, enabling data exchange and processing.

[0009] "Analysis" refers to the detailed examination of the contents of the configuration data, and understanding its structure and the meaning of each parameter.

[0010] "Configuration" refers to the arrangement, connection relationships, and interactions of each information processing device that constitutes the information processing infrastructure.

[0011] A "configuration diagram" is a diagram that visually represents the configuration of an information processing infrastructure and is used to show the connections and arrangement of devices.

[0012] "Generation" refers to the process of creating new data or information through a series of operations or algorithms.

[0013] "Different types of information processing devices" refers to information processing devices designed and manufactured by different vendors or manufacturers, which have different operating specifications. [Brief explanation of the drawing]

[0014] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It 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

[0015] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0016] First, the terms used in the following description will be explained.

[0017] In the following embodiments, a tagged processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0018] In the following embodiments, a tagged RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0019] In the following embodiments, a tagged storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0020] 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).

[0021] 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."

[0022] [First Embodiment]

[0023] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0024] 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.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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".

[0035] This invention provides a system for efficiently analyzing configuration data and generating setting data in an information processing infrastructure. The system has the ability to receive setting data exported from an information processing device and understand the overall configuration of the information processing infrastructure through its analysis.

[0036] First, the user uploads the configuration file of the information processing device to the system using a terminal. The server analyzes the uploaded file and obtains detailed configuration information for each device. In this process, the server normalizes the configuration data and converts it into a common format to ensure consistency in settings across different devices.

[0037] Next, the server generates a configuration diagram based on the acquired information. The configuration diagram visually shows the arrangement and interconnection of each device that makes up the information processing infrastructure. The server then constructs a dynamic graph based on this data and displays it through the user interface. By reviewing this, the user can easily grasp the overall picture.

[0038] Furthermore, the function for generating configuration data for different types of information processing devices will also be explained. The user specifies the type of device to be added to the system and the required configuration conditions. The server generates appropriate configuration data according to the specified conditions and provides it to the user. This enables the seamless deployment of new devices.

[0039] As a concrete example, consider a situation where a corporate network needs to integrate new devices from a different vendor while utilizing existing devices. The user uploads the configuration of the existing devices to the system and verifies the configuration diagram based on the analyzed information. Then, the user specifies the requirements for the new devices, and the server generates configuration data for the new devices based on this information. By applying this generated configuration, the user can integrate the new devices into the existing network without conflicts.

[0040] Thus, the present invention provides specific means for efficiently and accurately designing and modifying information processing infrastructure.

[0041] The following describes the processing flow.

[0042] Step 1:

[0043] The user uploads a configuration file exported from their information processing device to the system via a terminal. The terminal then sends the file to the server in the appropriate request format.

[0044] Step 2:

[0045] The server saves the received configuration file and verifies its file format. It then performs initial preparations for converting it to a standardized format to accommodate different vendors and devices.

[0046] Step 3:

[0047] The server uses the config_parser module to analyze the configuration file in detail. At this stage, it extracts the necessary parameters (e.g., IP address, subnet mask, routing information, etc.) and stores them in an internal database.

[0048] Step 4:

[0049] Based on the analysis results, the server uses the network_mapper module to map the entire network configuration. This establishes the relationships between devices and the physical structure (topology) of connections, generating visualizeable data.

[0050] Step 5:

[0051] The server uses this mapping result to generate a configuration diagram, which is then visually displayed to the user through the user interface. The user then reviews this diagram to understand the overall structure of the information processing infrastructure.

[0052] Step 6:

[0053] The user specifies the configuration requirements and details of configuration changes when adding a new device via the interface. This includes the type of new device and the required configuration conditions.

[0054] Step 7:

[0055] The server calls the config_generator module to generate new configuration data based on user specifications. Conversion processing to suit different types of information processing devices also takes place here.

[0056] Step 8:

[0057] The server provides the newly generated configuration data to the user and obtains feedback as needed. The user then uses this configuration data to apply the settings to the information processing device and complete the system changes.

[0058] (Example 1)

[0059] 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."

[0060] In existing data processing infrastructure, the increasing number of different types of data processing devices presents challenges in managing configuration information and ensuring interoperability. This is particularly difficult in environments where devices from different vendors coexist, making efficient configuration changes while maintaining consistency. In such environments, it is necessary to comprehensively and dynamically understand the entire network and seamlessly integrate new devices without conflicts when they are introduced.

[0061] 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.

[0062] In this invention, the server includes means for analyzing the configuration information of existing data processing devices to understand the configuration of the data processing infrastructure, means for generating visualization information of the data processing infrastructure based on the said configuration, and means for generating configuration information for different types of data processing devices. This makes it possible to efficiently add devices and change their configurations while maintaining consistency of configuration information, even in environments where different types of data processing devices coexist, and to dynamically grasp the state of the entire network.

[0063] A "data processing device" refers to equipment or systems used for processing, storing, and transferring data.

[0064] "Configuration information" refers to data and files that define the operation and connection environment of the data processing device.

[0065] A "data processing infrastructure" refers to the basic configuration and environment necessary for multiple data processing devices to work together.

[0066] "Means of understanding the configuration" refers to the technologies and methods used to analyze the configuration information of data processing devices and understand the overall configuration of the data processing infrastructure.

[0067] "Visualized information" refers to diagrams and graphs that visually represent the configuration and state of a data processing infrastructure.

[0068] "Different types of data processing devices" refers to data processing devices from different vendors or with different technical specifications.

[0069] "Normalization methods" refer to techniques and methods for standardizing configuration information in different formats into a common format.

[0070] A "common data format" refers to a standardized data format that allows different types of data to be handled.

[0071] An "interactive user interface" refers to a screen or system that users can interact with through operations and input.

[0072] A "dynamic graph data model" refers to a graph-based data model whose structure changes in real time in response to changes in the data.

[0073] The embodiments for carrying out this invention will be described below.

[0074] The user uses a terminal to retrieve configuration information exported from the network or individual data processing devices. This retrieved information is, for example, in the form of a configuration file or database export. The user then uploads these configuration files to the system to begin processing.

[0075] The server receives the uploaded configuration information. For processing, it uses software such as Python's parsing library to extract the configuration information for each data processing device. After extraction, the server normalizes this information and converts it to a common data format such as JSON to ensure consistency across different devices.

[0076] Next, the server visualizes the entire data processing infrastructure based on the normalized information. This visualization uses the JavaScript® D3.js library to generate a dynamic graph model, which is then displayed through an interactive user interface. This allows users to understand the configuration and status of the entire network in real time.

[0077] Furthermore, when a user adds a new device to the network, the user inputs the type of the new device and the required configuration conditions into the system. Based on this input, the server generates configuration information to apply to the new device. Network management automation tools (such as Ansible) can be used to automatically generate configuration scripts. The user can then apply the generated configuration information to the new device and seamlessly integrate it into the network.

[0078] As a concrete example, consider a scenario where an organization integrates routers from different vendors into its network. In this case, the user first uploads the configuration of the existing router to the system, and the server parses and normalizes it. Then, the user specifies the type of router to add and enters the required configuration. A suitable example of a prompt would be, "To add a router from a new vendor, please generate a configuration script with VLAN settings and IP routing enabled." This allows the server to automatically generate the configuration while considering the specified information, ensuring compatibility across the entire network, and adding the device.

[0079] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0080] Step 1:

[0081] The user uploads configuration information for the data processing device to the system using a terminal. The input consists of configuration files and database export files. The uploaded files form the basis of the processing.

[0082] Step 2:

[0083] The server receives the uploaded configuration information. Specifically, it opens the received file on the file system and parses its contents using a Python parsing library. The input is the received configuration file, and the output is the configuration information for each device.

[0084] Step 3:

[0085] The server normalizes the extracted configuration information. Specifically, it uses regular expressions and data mapping to convert each device configuration into a common data format such as JSON. The input is parsed configuration information, and the output is normalized data. This ensures consistency between data.

[0086] Step 4:

[0087] The server generates visualization information for the data processing infrastructure based on normalized configuration information. Here, the D3.js library is used to create an interactive dynamic graph. The input is normalized data, and the output is visual graph data. This graph is displayed in the user interface, allowing the user to visualize the overall network structure.

[0088] Step 5:

[0089] The user enters a request to add a new device to the system. Specifically, they specify the type of new device and its configuration requirements as prompts. This constitutes the new input.

[0090] Step 6:

[0091] The server generates configuration information for the new device based on the input prompts. A configuration script is created using a management automation tool such as Ansible. The input is a prompt based on user specifications, and the output is a configuration script for the new device. The configuration script is provided to the user, who can then apply it to the new device.

[0092] (Application Example 1)

[0093] 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."

[0094] In modern information processing infrastructure, integrating different information processing devices from multiple manufacturers is challenging. Accurately analyzing the configuration information of each device and efficiently visualizing the integrated system configuration is not easy. Furthermore, quickly generating appropriate configuration information while maintaining compatibility with existing network configurations when adding new information processing devices is also difficult. Moreover, flexibility is required to perform these operations from anywhere.

[0095] 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.

[0096] In this invention, the server includes means for analyzing the configuration information of an existing information processing device to understand the configuration of an information processing infrastructure, means for generating a configuration diagram of the information processing infrastructure, means for generating configuration information for different types of information processing devices, means for visually displaying the configuration diagram on a portable terminal device, means for inputting the requirements of a new device from the portable terminal device, and means for dynamically generating appropriate configuration information based on the input requirements. This makes it possible to visualize the system configuration while maintaining consistency of configuration information between different devices, and enables the rapid introduction of new devices.

[0097] An "information processing infrastructure" is the overall system structure in which multiple information processing devices interact with each other to process and manage data.

[0098] "Configuration information" refers to data containing the settings necessary to determine the operation and functions of an information processing device.

[0099] "Analysis" is the process of examining in detail the configuration information obtained from an information processing device in order to understand its structure and operation.

[0100] A "configuration diagram" is a diagram that visually shows the arrangement and connection relationships of each information processing device in an information processing infrastructure.

[0101] A "portable terminal device" is an electronic device that can be easily carried around and used for managing and configuring information processing infrastructure.

[0102] "Requirements" refer to the specifications and conditions that are required when adding a new information processing device to an information processing infrastructure.

[0103] "Dynamically generated" refers to the process of flexibly and instantly creating the necessary data and settings based on existing information and input conditions.

[0104] This invention is a system for efficiently managing the configuration of an information processing infrastructure and facilitating the addition of new devices. The system consists of a portable terminal device and a server, and its details are described below.

[0105] First, the user uploads configuration information for the information processing device to the server using a portable terminal device. The server analyzes this configuration information to understand the overall configuration of the information processing infrastructure. During this process, a Python library is used to normalize the configuration information and ensure data consistency.

[0106] Next, the server uses a graph data model based on the analyzed data to generate a diagram of the information processing infrastructure. This diagram is dynamic and is visually displayed on a portable terminal device. By reviewing this diagram, users can easily understand the overall structure of the information processing infrastructure.

[0107] Subsequently, the user inputs the requirements for the device to be added to the information processing infrastructure via a portable terminal device. The server dynamically generates appropriate configuration information based on these input requirements. The generated configuration information is designed to maintain consistency with the existing system, enabling the user to deploy new devices to the existing network without conflict.

[0108] A concrete example of this invention is a scenario in which a network administrator at a company adds a new network switch to an existing group of servers. The network administrator can quickly obtain appropriate configuration information by uploading the settings of the existing servers and entering the requirements for the new switch using a portable terminal device.

[0109] An example of a prompt to the generating AI model might be: "Visualize the current network configuration of data center A and generate the optimal settings for the new network switch, while maintaining compatibility with the existing system and avoiding configuration conflicts." Based on this prompt, the system will provide configuration information efficiently and accurately.

[0110] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0111] Step 1:

[0112] The user selects configuration information for the information processing device using a portable terminal device and uploads it to the system. The configuration information selected by the user is transmitted from the portable terminal device to the server. The input data consists of configuration files containing different formats and vendor specifications.

[0113] Step 2:

[0114] The server parses the received configuration information. Using normalization techniques, it converts this configuration information into a unified format. This ensures consistency between configuration information from different information processing devices. In this process, the input data is inconsistent configuration file formats, while the output data is configuration data in a unified format.

[0115] Step 3:

[0116] The server generates a configuration diagram of the information processing infrastructure using standardized configuration data. It utilizes a graph data model to visualize the connection relationships between each information processing device. In this process, the input data is configuration data in a standardized format, and the output data is a visual network configuration diagram.

[0117] Step 4:

[0118] The user views the generated configuration diagram through a portable terminal device. This diagram is interactive, allowing the user to click and view details of each information processing device. The input is the user's interaction, and the output is the updated view of the configuration diagram.

[0119] Step 5:

[0120] The user inputs the requirements for the newly added information processing device into a portable terminal device. These requirements include connection methods and necessary configuration conditions. The input data consists of user-specified requirement information.

[0121] Step 6:

[0122] The server dynamically generates appropriate configuration information based on the input requirements. In this process, it uses a generation AI model to calculate settings consistent with the existing network. The input data consists of user requirements, and the output data consists of configuration information for the new device.

[0123] Step 7:

[0124] The generated configuration information is sent back to the portable terminal device and presented to the user. The user can then use this information to seamlessly integrate the new device into the existing information processing infrastructure. The input is the generated configuration information, and the output is the user's confirmation and application actions.

[0125] 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.

[0126] This invention provides an information processing infrastructure configuration analysis and generation system that dynamically adjusts according to the user's emotions. In addition to the function of analyzing the configuration data of the information processing device and understanding the configuration of the information processing infrastructure, this system integrates an emotion engine that recognizes the user's emotional state.

[0127] First, the user uploads a configuration file exported from the information processing device to the system via a terminal. The server then receives the configuration file and begins analyzing it. The server uses the config_parser module to extract various parameters and understand the configuration of the information processing infrastructure.

[0128] Based on this configuration information, the server generates a network configuration diagram with the help of the network_mapper module. The configuration diagram is visualized in the user interface, allowing users to intuitively grasp the overall picture of the information processing infrastructure.

[0129] The emotion engine monitors the user's interface interactions and analyzes their emotional state during use. Based on this analysis, the server dynamically adjusts the user interface as needed. For example, if it determines that the user is experiencing stress from the interaction, the interface is modified to provide user guides or step-by-step instructions.

[0130] In addition, when generating configuration data for different types of information processing devices, the system takes the user's emotional state into consideration and controls the presentation of information to ensure an appropriate amount and content. This improves the user experience and makes the configuration process smoother.

[0131] As a concrete example, consider a scenario where a user attempts to add a new device to an existing network. The user uploads a configuration file to the system and reviews the configuration diagram. If the emotion engine detects that the user appears confused, the server displays additional supplementary information on the interface and provides a detailed explanation of the configuration procedure. It also generates a configuration for the new device and supports the user in applying it with confidence.

[0132] Thus, the present invention aims to enable the design and configuration changes of an information processing infrastructure to be adapted to the user's emotions by utilizing an emotion engine.

[0133] The following describes the processing flow.

[0134] Step 1:

[0135] The user uploads a configuration file exported from the information processing device to the system via a terminal. The terminal then accurately sends this file to the server.

[0136] Step 2:

[0137] The server receives the uploaded configuration file and verifies its file format. The server then applies an appropriate normalization technique and prepares to convert the file into a common structure.

[0138] Step 3:

[0139] The server uses the config_parser module to perform a detailed analysis of the configuration file. Here, each parameter (IP address, VLAN information, routing information, etc.) is extracted and organized in an internal database.

[0140] Step 4:

[0141] Based on the analysis results, the server uses the network_mapper module to map the network configuration. This module understands the connection relationships between devices and generates a network topology in graph format.

[0142] Step 5:

[0143] The server visualizes the generated network topology and displays it as a configuration diagram in the user interface. The user uses this to get an overview of the network.

[0144] Step 6:

[0145] To recognize the user's emotional state, the emotion engine monitors interactions on the interface. The server acquires emotional data in real time and analyzes the user's state.

[0146] Step 7:

[0147] Based on the analysis results of the emotion engine, the server dynamically adjusts the information displayed on the interface and the user guide. For example, if it determines that the user is confused, it will display detailed help or tutorials.

[0148] Step 8:

[0149] The user inputs the configuration conditions for the information processing device they wish to add into the system. Based on this information, the server uses config_generator to generate new configuration data for the device.

[0150] Step 9:

[0151] The server provides the generated configuration data to the user and receives instructions for fine-tuning as needed. The user then applies the final, confirmed configuration data to the information processing device to complete the network changes.

[0152] (Example 2)

[0153] 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 device 14 as the "terminal".

[0154] As the configuration and settings of information processing infrastructure become more complex, there is a problem in that it is difficult for users to understand and operate them appropriately. Furthermore, there is a lack of support to reduce the stress and confusion users experience when performing configuration tasks, and to enable them to perform configuration work efficiently.

[0155] 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.

[0156] In this invention, the server includes means for analyzing the configuration data of an existing information processing device to understand the configuration of an information processing infrastructure, means for generating a visualized configuration diagram of the information processing infrastructure, means for recognizing the user's emotional state and dynamically adjusting the interface based on the recognition result, and means for optimizing and generating configuration data for different types of information processing devices according to the user's emotional state. This enables intuitive and efficient configuration and operation of the information processing infrastructure in accordance with the user's emotions.

[0157] An "information processing device" is a general term for a device that has the ability to input, process, store, and output data.

[0158] "Configuration data" refers to detailed information used to determine the operation and configuration of an information processing device.

[0159] An "information processing infrastructure" refers to the structure and environment that serve as the foundation for information processing devices and their related systems to work together.

[0160] A "configuration diagram" is a graphical representation of the structure and interconnections of an information processing infrastructure.

[0161] "Emotional state" refers to the user's psychological state, including states such as stress and relaxation.

[0162] An "interface" refers to the means or methods that enable interaction between a user and a system.

[0163] "Optimization" means adjusting something to maximize its performance or efficiency under specific conditions.

[0164] This invention is a system that dynamically adjusts the settings of an information processing infrastructure according to the user's emotions. The system mainly consists of a server, a terminal, and the user.

[0165] First, the user obtains a configuration file from their information processing device and uploads it to the system via a terminal. This configuration file contains important data that determines the operation and configuration of the information processing device, and serves as basic data for the system to analyze.

[0166] The server uses the config_parser module to parse the received configuration file. This analysis extracts various configuration parameters of the information processing device and allows the server to understand the configuration of the information processing infrastructure. This enables the server to grasp the overall picture of the information processing infrastructure.

[0167] Next, the server generates a configuration diagram using the network_mapper module. This diagram visually represents the connectivity of the information processing infrastructure and is displayed through the user interface to make it easy for users to understand.

[0168] Furthermore, the emotion engine monitors the user's emotional state and analyzes their psychological condition based on interface operation data such as click frequency and browsing time. Based on this analysis, the server adjusts the interface as needed to help the user operate in a relaxed state. For example, if it is determined that the user is feeling stressed, it can display an "operation guide" or "step-by-step instructions."

[0169] Furthermore, the analysis results of this emotion engine are also used when generating configuration data for different types of information processing devices. By adjusting the amount and presentation method of information according to the user's emotions, the system enables users to understand the information and make quick and accurate configurations.

[0170] As a concrete example, consider a case where a user adds a new network device to an existing information processing infrastructure. The user can upload the appropriate configuration file and view a visualized configuration diagram. If the sentiment engine recognizes that the user is confused, the server provides additional explanations on the user interface to support and clarify the configuration process.

[0171] An example of a prompt message might be a request like, "I want to add a new device to the network. Please guide me through the setup process while recognizing my emotions."

[0172] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0173] Step 1:

[0174] The user uploads a configuration file to the system using a terminal. To upload, the user uses a file selection screen and clicks the submit button. The input is a configuration file exported from the information processing device, and this file is transferred to the server. The output is the configuration file that has been successfully transferred to the server.

[0175] Step 2:

[0176] After receiving the uploaded configuration file, the server parses the file using the config_parser module. The parsing process uses the contents of the received configuration file as input. The server extracts the file's components and generates configuration data for the information processing infrastructure. As a result, various configuration parameters are saved to the database as output.

[0177] Step 3:

[0178] The server generates a network configuration diagram using the network_mapper module based on the analysis results. The input is the configuration data of the information processing infrastructure, which is the output of step 2. The server visually represents this data and generates a configuration diagram as output. This configuration diagram is displayed in the user interface.

[0179] Step 4:

[0180] The emotion engine monitors user interface interactions and analyzes their emotional state. Its input is interface usage data, such as user click frequency and interaction patterns. The emotion engine processes this data to infer the user's emotional state and identifies it as an output, such as stress or relaxation.

[0181] Step 5:

[0182] The server receives the output from the emotion engine and dynamically adjusts the interface. The input is the user's emotional state obtained in step 4. The server makes adjustments, for example, by displaying additional information if the user is feeling stressed. The output is the updated interface provided to the user.

[0183] Step 6:

[0184] The server optimizes the generation of configuration data for different information processing devices based on the user's emotional state. The input consists of the configuration information to be generated and data on the user's emotional state. The server uses these to adjust the amount of information and presentation method, generating the configuration data in the most optimal format as output.

[0185] (Application Example 2)

[0186] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0187] In today's world, understanding and properly managing the complex settings and configurations of computer devices is a burden for many users. Similarly, there is a growing need to provide peace of mind to users who feel uneasy during online payment transactions, while ensuring that the process is safe and smooth.

[0188] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0189] In this invention, the server includes means for analyzing the configuration data of existing computer devices to understand the configuration of the computing infrastructure, means for generating a visualization diagram of the computing infrastructure, means for generating configuration data for different types of computer devices, means for analyzing the emotional state of users and dynamically adjusting the operation screen, and means for analyzing the emotions of users when they perform payment operations and displaying reassuring information. This reduces the burden of managing the configuration of computer devices and enables users to make online payments with peace of mind.

[0190] A "computer device" is a mechanical device used for processing information, primarily for storing, analyzing, and managing data.

[0191] "Computing infrastructure" refers to the fundamental components and environment necessary to operate a computer system, and includes a combination of hardware and software.

[0192] A "visualization diagram" is a graphic representation used to visually show the structure and relationships of information and data, aiding understanding and enabling intuitive grasp.

[0193] "Configuration data" refers to information used to specify the operating conditions and parameters of computer devices and systems, and plays an important role in the characteristics and operation of the device.

[0194] "Emotional state" refers to the expression of emotions that a user shows in a particular situation, and often includes psychological states that are expressed through behavior and attitude.

[0195] An "operation screen" refers to an interface that allows users to directly interact with and control a computer or software, and includes visual elements for accessing its functions.

[0196] "Reassuring displays" refer to information and messages presented on the screen to encourage users to feel secure, thereby reducing anxiety and supporting appropriate decision-making.

[0197] The system that realizes this invention consists of a server, a terminal, and a user. The server receives configuration data about the computer equipment, analyzes the data, and understands the configuration of the computing infrastructure. Normalization techniques are used for the analysis, and a visualization diagram is generated based on the results. The visualization diagram is formalized using a data structure model and displayed on the terminal so that the user can intuitively understand the information.

[0198] Furthermore, the server incorporates an emotion engine that analyzes the user's emotional state and dynamically adjusts the user interface. For example, if a user shows anxiety while performing a payment operation on the terminal, the server will display a reassuring message to alleviate that anxiety. This message plays a role in reducing the user's anxiety and supporting a smooth operation.

[0199] For example, when a user attempts to purchase an item on an online shopping site, they may show signs of anxiety before clicking the payment button. In this case, the emotion engine can detect this anxiety, and the server can assist the user by displaying a message such as, "This procedure is secure. Please refer to this guide if you need further information." Furthermore, generative AI models can be used to provide dynamic prompts based on the user's operation history and responses.

[0200] An example of a prompt message is, "Analyze the emotions the user is showing and plan displays that provide reassurance during electronic payments."

[0201] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0202] Step 1:

[0203] The user uploads configuration data exported from an existing computer device to the server via a terminal. The input data is a configuration file, which the server receives. The server accepts this configuration data as input and proceeds to the next step, the analysis process.

[0204] Step 2:

[0205] The server analyzes the received configuration data. Specifically, the server processes the data using normalization techniques and extracts various parameters to understand the configuration of the computing infrastructure. The output of this process is the configuration information of the computing infrastructure, which is used to generate visualization diagrams.

[0206] Step 3:

[0207] The server generates a visualization diagram based on the analyzed configuration information. The server utilizes a data structure model to create the configuration diagram in an intuitively understandable format. This configuration diagram is output to the terminal for user review.

[0208] Step 4:

[0209] When a user interacts with the device, the server uses an emotion engine to monitor the user's facial expressions and actions, and analyzes their emotional state. This input data is the user's facial expression data, and the emotion engine analyzes it to obtain the user's emotional state as output.

[0210] Step 5:

[0211] When a user performs a payment transaction, the server dynamically adjusts the operation screen according to the analyzed emotional state. Specifically, for example, if anxiety is detected, it generates a reassuring message and outputs it to the terminal. By displaying this message, the server reduces the user's anxiety and facilitates the payment process.

[0212] 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.

[0213] Data generation model 58 is a type of 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.

[0214] 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.

[0215] [Second Embodiment]

[0216] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0217] 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.

[0218] 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).

[0219] 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.

[0220] 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.

[0221] 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).

[0222] 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.

[0223] 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.

[0224] 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.

[0225] 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.

[0226] 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.

[0227] 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".

[0228] This invention provides a system for efficiently analyzing configuration data and generating setting data in an information processing infrastructure. The system has the ability to receive setting data exported from an information processing device and understand the overall configuration of the information processing infrastructure through its analysis.

[0229] First, the user uploads the configuration file of the information processing device to the system using a terminal. The server analyzes the uploaded file and obtains detailed configuration information for each device. In this process, the server normalizes the configuration data and converts it into a common format to ensure consistency in settings across different devices.

[0230] Next, the server generates a configuration diagram based on the acquired information. The configuration diagram visually shows the arrangement and interconnection of each device that makes up the information processing infrastructure. The server then constructs a dynamic graph based on this data and displays it through the user interface. By reviewing this, the user can easily grasp the overall picture.

[0231] Furthermore, the function for generating configuration data for different types of information processing devices will also be explained. The user specifies the type of device to be added to the system and the required configuration conditions. The server generates appropriate configuration data according to the specified conditions and provides it to the user. This enables the seamless deployment of new devices.

[0232] As a concrete example, consider a situation where a corporate network needs to integrate new devices from a different vendor while utilizing existing devices. The user uploads the configuration of the existing devices to the system and verifies the configuration diagram based on the analyzed information. Then, the user specifies the requirements for the new devices, and the server generates configuration data for the new devices based on this information. By applying this generated configuration, the user can integrate the new devices into the existing network without conflicts.

[0233] Thus, the present invention provides specific means for efficiently and accurately designing and modifying information processing infrastructure.

[0234] The following describes the processing flow.

[0235] Step 1:

[0236] The user uploads a configuration file exported from their information processing device to the system via a terminal. The terminal then sends the file to the server in the appropriate request format.

[0237] Step 2:

[0238] The server saves the received configuration file and verifies its file format. It then performs initial preparations for converting it to a standardized format to accommodate different vendors and devices.

[0239] Step 3:

[0240] The server uses the config_parser module to analyze the configuration file in detail. At this stage, it extracts the necessary parameters (e.g., IP address, subnet mask, routing information, etc.) and stores them in an internal database.

[0241] Step 4:

[0242] Based on the analysis results, the server uses the network_mapper module to map the entire network configuration. This establishes the relationships between devices and the physical structure (topology) of connections, generating visualizeable data.

[0243] Step 5:

[0244] The server uses this mapping result to generate a configuration diagram, which is then visually displayed to the user through the user interface. The user then reviews this diagram to understand the overall structure of the information processing infrastructure.

[0245] Step 6:

[0246] The user specifies the configuration requirements and details of configuration changes when adding a new device via the interface. This includes the type of new device and the required configuration conditions.

[0247] Step 7:

[0248] The server calls the config_generator module to generate new configuration data based on user specifications. Conversion processing to suit different types of information processing devices also takes place here.

[0249] Step 8:

[0250] The server provides the newly generated configuration data to the user and obtains feedback as needed. The user then uses this configuration data to apply the settings to the information processing device and complete the system changes.

[0251] (Example 1)

[0252] 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."

[0253] In existing data processing infrastructure, the increasing number of different types of data processing devices presents challenges in managing configuration information and ensuring interoperability. This is particularly difficult in environments where devices from different vendors coexist, making efficient configuration changes while maintaining consistency. In such environments, it is necessary to comprehensively and dynamically understand the entire network and seamlessly integrate new devices without conflicts when they are introduced.

[0254] 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.

[0255] In this invention, the server includes means for analyzing the configuration information of existing data processing devices to understand the configuration of the data processing infrastructure, means for generating visualization information of the data processing infrastructure based on the said configuration, and means for generating configuration information for different types of data processing devices. This makes it possible to efficiently add devices and change their configurations while maintaining consistency of configuration information, even in environments where different types of data processing devices coexist, and to dynamically grasp the state of the entire network.

[0256] A "data processing device" refers to equipment or systems used for processing, storing, and transferring data.

[0257] "Configuration information" refers to data and files that define the operation and connection environment of the data processing device.

[0258] A "data processing infrastructure" refers to the basic configuration and environment necessary for multiple data processing devices to work together.

[0259] "Means of understanding the configuration" refers to the technologies and methods used to analyze the configuration information of data processing devices and understand the overall configuration of the data processing infrastructure.

[0260] "Visualized information" refers to diagrams and graphs that visually represent the configuration and state of a data processing infrastructure.

[0261] "Different types of data processing devices" refers to data processing devices from different vendors or with different technical specifications.

[0262] "Normalization methods" refer to techniques and methods for standardizing configuration information in different formats into a common format.

[0263] A "common data format" refers to a standardized data format that allows different types of data to be handled.

[0264] An "interactive user interface" refers to a screen or system that users can interact with through operations and input.

[0265] A "dynamic graph data model" refers to a graph-based data model whose structure changes in real time in response to changes in the data.

[0266] The embodiments for carrying out this invention will be described below.

[0267] The user uses a terminal to retrieve configuration information exported from the network or individual data processing devices. This retrieved information is, for example, in the form of a configuration file or database export. The user then uploads these configuration files to the system to begin processing.

[0268] The server receives the uploaded configuration information. For processing, it uses software such as Python's parsing library to extract the configuration information for each data processing device. After extraction, the server normalizes this information and converts it to a common data format such as JSON to ensure consistency across different devices.

[0269] Next, the server visualizes the entire data processing infrastructure based on the normalized information. This visualization uses the JavaScript D3.js library to generate a dynamic graph model, which is then displayed through an interactive user interface. This allows users to understand the configuration and status of the entire network in real time.

[0270] Furthermore, when a user adds a new device to the network, the user inputs the type of the new device and the required configuration conditions into the system. Based on this input, the server generates configuration information to apply to the new device. Network management automation tools (such as Ansible) can be used to automatically generate configuration scripts. The user can then apply the generated configuration information to the new device and seamlessly integrate it into the network.

[0271] As a concrete example, consider a scenario where an organization integrates routers from different vendors into its network. In this case, the user first uploads the configuration of the existing router to the system, and the server parses and normalizes it. Then, the user specifies the type of router to add and enters the required configuration. A suitable example of a prompt would be, "To add a router from a new vendor, please generate a configuration script with VLAN settings and IP routing enabled." This allows the server to automatically generate the configuration while considering the specified information, ensuring compatibility across the entire network, and adding the device.

[0272] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0273] Step 1:

[0274] The user uploads configuration information for the data processing device to the system using a terminal. The input consists of configuration files and database export files. The uploaded files form the basis of the processing.

[0275] Step 2:

[0276] The server receives the uploaded configuration information. Specifically, it opens the received file on the file system and parses its contents using a Python parsing library. The input is the received configuration file, and the output is the configuration information for each device.

[0277] Step 3:

[0278] The server normalizes the extracted configuration information. Specifically, it uses regular expressions and data mapping to convert each device configuration into a common data format such as JSON. The input is parsed configuration information, and the output is normalized data. This ensures consistency between data.

[0279] Step 4:

[0280] The server generates visualization information for the data processing infrastructure based on normalized configuration information. Here, the D3.js library is used to create an interactive dynamic graph. The input is normalized data, and the output is visual graph data. This graph is displayed in the user interface, allowing the user to visualize the overall network structure.

[0281] Step 5:

[0282] The user inputs a request to add a new device to the system. Specifically, the user specifies the type and setting conditions of the new device as prompts. This becomes the new input.

[0283] Step 6:

[0284] Based on the input prompt information, the server generates the setting information for the new device. A configuration script is created using a management automation tool such as Ansible. The input is a prompt based on the user's specification, and the output is a configuration script for the new device. The configuration script is provided to the user, and the user can apply it to the new device.

[0285] (Application Example 1)

[0286] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0287] In a modern information processing infrastructure, when integrating different information processing devices from multiple manufacturers, it is not easy to accurately analyze the setting information of each device and efficiently visualize the integrated system configuration. Also, when adding a new information processing device, it is a challenge to quickly generate appropriate setting information while maintaining consistency with the existing network configuration. Furthermore, flexibility to perform these operations anywhere is required.

[0288] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0289] In this invention, the server includes means for analyzing the configuration information of an existing information processing device to understand the configuration of an information processing infrastructure, means for generating a configuration diagram of the information processing infrastructure, means for generating configuration information for different types of information processing devices, means for visually displaying the configuration diagram on a portable terminal device, means for inputting the requirements of a new device from the portable terminal device, and means for dynamically generating appropriate configuration information based on the input requirements. This makes it possible to visualize the system configuration while maintaining consistency of configuration information between different devices, and enables the rapid introduction of new devices.

[0290] An "information processing infrastructure" is the overall system structure in which multiple information processing devices interact with each other to process and manage data.

[0291] "Configuration information" refers to data containing the settings necessary to determine the operation and functions of an information processing device.

[0292] "Analysis" is the process of examining in detail the configuration information obtained from an information processing device in order to understand its structure and operation.

[0293] A "configuration diagram" is a diagram that visually shows the arrangement and connection relationships of each information processing device in an information processing infrastructure.

[0294] A "portable terminal device" is an electronic device that can be easily carried around and used for managing and configuring information processing infrastructure.

[0295] "Requirements" refer to the specifications and conditions that are required when adding a new information processing device to an information processing infrastructure.

[0296] "Dynamically generated" refers to the process of flexibly and instantly creating the necessary data and settings based on existing information and input conditions.

[0297] This invention is a system for efficiently managing the configuration of an information processing infrastructure and facilitating the addition of new devices. The system consists of a portable terminal device and a server, and its details are described below.

[0298] First, the user uploads configuration information for the information processing device to the server using a portable terminal device. The server analyzes this configuration information to understand the overall configuration of the information processing infrastructure. During this process, a Python library is used to normalize the configuration information and ensure data consistency.

[0299] Next, the server uses a graph data model based on the analyzed data to generate a diagram of the information processing infrastructure. This diagram is dynamic and is visually displayed on a portable terminal device. By reviewing this diagram, users can easily understand the overall structure of the information processing infrastructure.

[0300] Subsequently, the user inputs the requirements for the device to be added to the information processing infrastructure via a portable terminal device. The server dynamically generates appropriate configuration information based on these input requirements. The generated configuration information is designed to maintain consistency with the existing system, enabling the user to deploy new devices to the existing network without conflict.

[0301] A concrete example of this invention is a scenario in which a network administrator at a company adds a new network switch to an existing group of servers. The network administrator can quickly obtain appropriate configuration information by uploading the settings of the existing servers and entering the requirements for the new switch using a portable terminal device.

[0302] An example of a prompt to the generating AI model might be: "Visualize the current network configuration of data center A and generate the optimal settings for the new network switch, while maintaining compatibility with the existing system and avoiding configuration conflicts." Based on this prompt, the system will provide configuration information efficiently and accurately.

[0303] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0304] Step 1:

[0305] The user selects the configuration information of the information processing device using a portable terminal device and uploads it to the system. At this time, the configuration information selected by the user is in a format that is transmitted from the portable terminal device to the server. The input data is a configuration file including different formats and vendor specifications.

[0306] Step 2:

[0307] The server analyzes the received configuration information. Using a normalization method, this configuration information is converted into a unified format. This ensures the consistency between the configuration information of different information processing devices. In this process, the input data is in a non-uniform format of the configuration file, and the output data is configuration data in a unified format.

[0308] Step 3:

[0309] The server generates a configuration diagram of the information processing infrastructure using the unified configuration data. Utilizing a graph data model, the connection relationships of each information processing device are visualized. In this step, the input data is configuration data in a unified format, and the output data is a visual network configuration diagram.

[0310] Step 4:

[0311] The user checks the generated configuration diagram through the portable terminal device. This configuration diagram is interactive, and the user can click on the details of each information processing device to view them. The input is the user's interaction, and the output is the updated view of the configuration diagram.

[0312] Step 5:

[0313] The user inputs the requirements of the newly added information processing device into the portable terminal device. These requirements include connection methods and necessary configuration conditions. The input data is requirement information specified by the user.

[0314] Step 6:

[0315] The server dynamically generates appropriate configuration information based on the input requirements. In this process, it uses a generation AI model to calculate settings consistent with the existing network. The input data consists of user requirements, and the output data consists of configuration information for the new device.

[0316] Step 7:

[0317] The generated configuration information is sent back to the portable terminal device and presented to the user. The user can then use this information to seamlessly integrate the new device into the existing information processing infrastructure. The input is the generated configuration information, and the output is the user's confirmation and application actions.

[0318] 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.

[0319] This invention provides an information processing infrastructure configuration analysis and generation system that dynamically adjusts according to the user's emotions. In addition to the function of analyzing the configuration data of the information processing device and understanding the configuration of the information processing infrastructure, this system integrates an emotion engine that recognizes the user's emotional state.

[0320] First, the user uploads a configuration file exported from the information processing device to the system via a terminal. The server then receives the configuration file and begins analyzing it. The server uses the config_parser module to extract various parameters and understand the configuration of the information processing infrastructure.

[0321] Based on this configuration information, the server generates a network configuration diagram with the help of the network_mapper module. The configuration diagram is visualized in the user interface, allowing users to intuitively grasp the overall picture of the information processing infrastructure.

[0322] The emotion engine monitors the user's interface interactions and analyzes their emotional state during use. Based on this analysis, the server dynamically adjusts the user interface as needed. For example, if it determines that the user is experiencing stress from the interaction, the interface is modified to provide user guides or step-by-step instructions.

[0323] In addition, when generating configuration data for different types of information processing devices, the system takes the user's emotional state into consideration and controls the presentation of information to ensure an appropriate amount and content. This improves the user experience and makes the configuration process smoother.

[0324] As a concrete example, consider a scenario where a user attempts to add a new device to an existing network. The user uploads a configuration file to the system and reviews the configuration diagram. If the emotion engine detects that the user appears confused, the server displays additional supplementary information on the interface and provides a detailed explanation of the configuration procedure. It also generates a configuration for the new device and supports the user in applying it with confidence.

[0325] Thus, the present invention aims to enable the design and configuration changes of an information processing infrastructure to be adapted to the user's emotions by utilizing an emotion engine.

[0326] The following describes the processing flow.

[0327] Step 1:

[0328] The user uploads a configuration file exported from the information processing device to the system via a terminal. The terminal then accurately sends this file to the server.

[0329] Step 2:

[0330] The server receives the uploaded configuration file and verifies its file format. The server then applies an appropriate normalization technique and prepares to convert the file into a common structure.

[0331] Step 3:

[0332] The server uses the config_parser module to perform a detailed analysis of the configuration file. Here, each parameter (IP address, VLAN information, routing information, etc.) is extracted and organized in an internal database.

[0333] Step 4:

[0334] Based on the analysis results, the server uses the network_mapper module to map the network configuration. This module understands the connection relationships between devices and generates a network topology in graph format.

[0335] Step 5:

[0336] The server visualizes the generated network topology and displays it as a configuration diagram in the user interface. The user uses this to get an overview of the network.

[0337] Step 6:

[0338] To recognize the user's emotional state, the emotion engine monitors interactions on the interface. The server acquires emotional data in real time and analyzes the user's state.

[0339] Step 7:

[0340] Based on the analysis results of the emotion engine, the server dynamically adjusts the information displayed on the interface and the user guide. For example, if it determines that the user is confused, it will display detailed help or tutorials.

[0341] Step 8:

[0342] The user inputs the configuration conditions for the information processing device they wish to add into the system. Based on this information, the server uses config_generator to generate new configuration data for the device.

[0343] Step 9:

[0344] The server provides the generated configuration data to the user and receives instructions for fine-tuning as needed. The user then applies the final, confirmed configuration data to the information processing device to complete the network changes.

[0345] (Example 2)

[0346] 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".

[0347] As the configuration and settings of information processing infrastructure become more complex, there is a problem in that it is difficult for users to understand and operate them appropriately. Furthermore, there is a lack of support to reduce the stress and confusion users experience when performing configuration tasks, and to enable them to perform configuration work efficiently.

[0348] 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.

[0349] In this invention, the server includes means for analyzing the configuration data of an existing information processing device to understand the configuration of an information processing infrastructure, means for generating a visualized configuration diagram of the information processing infrastructure, means for recognizing the user's emotional state and dynamically adjusting the interface based on the recognition result, and means for optimizing and generating configuration data for different types of information processing devices according to the user's emotional state. This enables intuitive and efficient configuration and operation of the information processing infrastructure in accordance with the user's emotions.

[0350] An "information processing device" is a general term for a device that has the ability to input, process, store, and output data.

[0351] "Configuration data" refers to detailed information used to determine the operation and configuration of an information processing device.

[0352] An "information processing infrastructure" refers to the structure and environment that serve as the foundation for information processing devices and their related systems to work together.

[0353] A "configuration diagram" is a graphical representation of the structure and interconnections of an information processing infrastructure.

[0354] "Emotional state" refers to the user's psychological state, including states such as stress and relaxation.

[0355] An "interface" refers to the means or methods that enable interaction between a user and a system.

[0356] "Optimization" means adjusting something to maximize its performance or efficiency under specific conditions.

[0357] This invention is a system that dynamically adjusts the settings of an information processing infrastructure according to the user's emotions. The system mainly consists of a server, a terminal, and the user.

[0358] First, the user obtains a configuration file from their information processing device and uploads it to the system via a terminal. This configuration file contains important data that determines the operation and configuration of the information processing device, and serves as basic data for the system to analyze.

[0359] The server uses the config_parser module to parse the received configuration file. This analysis extracts various configuration parameters of the information processing device and allows the server to understand the configuration of the information processing infrastructure. This enables the server to grasp the overall picture of the information processing infrastructure.

[0360] Next, the server generates a configuration diagram using the network_mapper module. This diagram visually represents the connectivity of the information processing infrastructure and is displayed through the user interface to make it easy for users to understand.

[0361] Furthermore, the emotion engine monitors the user's emotional state and analyzes their psychological condition based on interface operation data such as click frequency and browsing time. Based on this analysis, the server adjusts the interface as needed to help the user operate in a relaxed state. For example, if it is determined that the user is feeling stressed, it can display an "operation guide" or "step-by-step instructions."

[0362] Furthermore, the analysis results of this emotion engine are also used when generating configuration data for different types of information processing devices. By adjusting the amount and presentation method of information according to the user's emotions, the system enables users to understand the information and make quick and accurate configurations.

[0363] As a concrete example, consider a case where a user adds a new network device to an existing information processing infrastructure. The user can upload the appropriate configuration file and view a visualized configuration diagram. If the sentiment engine recognizes that the user is confused, the server provides additional explanations on the user interface to support and clarify the configuration process.

[0364] An example of a prompt message might be a request like, "I want to add a new device to the network. Please guide me through the setup process while recognizing my emotions."

[0365] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0366] Step 1:

[0367] The user uploads a configuration file to the system using a terminal. To upload, the user uses a file selection screen and clicks the submit button. The input is a configuration file exported from the information processing device, and this file is transferred to the server. The output is the configuration file that has been successfully transferred to the server.

[0368] Step 2:

[0369] After receiving the uploaded configuration file, the server parses the file using the config_parser module. The parsing process uses the contents of the received configuration file as input. The server extracts the file's components and generates configuration data for the information processing infrastructure. As a result, various configuration parameters are saved to the database as output.

[0370] Step 3:

[0371] The server generates a network configuration diagram using the network_mapper module based on the analysis results. The input is the configuration data of the information processing infrastructure, which is the output of step 2. The server visually represents this data and generates a configuration diagram as output. This configuration diagram is displayed in the user interface.

[0372] Step 4:

[0373] The emotion engine monitors user interface interactions and analyzes their emotional state. Its input is interface usage data, such as user click frequency and interaction patterns. The emotion engine processes this data to infer the user's emotional state and identifies it as an output, such as stress or relaxation.

[0374] Step 5:

[0375] The server receives the output from the emotion engine and dynamically adjusts the interface. The input is the user's emotional state obtained in step 4. The server makes adjustments, for example, by displaying additional information if the user is feeling stressed. The output is the updated interface provided to the user.

[0376] Step 6:

[0377] The server optimizes the generation of configuration data for different information processing devices based on the user's emotional state. The input consists of the configuration information to be generated and data on the user's emotional state. The server uses these to adjust the amount of information and presentation method, generating the configuration data in the most optimal format as output.

[0378] (Application Example 2)

[0379] 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."

[0380] In today's world, understanding and properly managing the complex settings and configurations of computer devices is a burden for many users. Similarly, there is a growing need to provide peace of mind to users who feel uneasy during online payment transactions, while ensuring that the process is safe and smooth.

[0381] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0382] In this invention, the server includes means for analyzing the configuration data of existing computer devices to understand the configuration of the computing infrastructure, means for generating a visualization diagram of the computing infrastructure, means for generating configuration data for different types of computer devices, means for analyzing the emotional state of users and dynamically adjusting the operation screen, and means for analyzing the emotions of users when they perform payment operations and displaying reassuring information. This reduces the burden of managing the configuration of computer devices and enables users to make online payments with peace of mind.

[0383] A "computer device" is a mechanical device used for processing information, primarily for storing, analyzing, and managing data.

[0384] "Computing infrastructure" refers to the fundamental components and environment necessary to operate a computer system, and includes a combination of hardware and software.

[0385] A "visualization diagram" is a graphic representation used to visually show the structure and relationships of information and data, aiding understanding and enabling intuitive grasp.

[0386] "Configuration data" refers to information used to specify the operating conditions and parameters of computer devices and systems, and plays an important role in the characteristics and operation of the device.

[0387] "Emotional state" refers to the expression of emotions that a user shows in a particular situation, and often includes psychological states that are expressed through behavior and attitude.

[0388] An "operation screen" refers to an interface that allows users to directly interact with and control a computer or software, and includes visual elements for accessing its functions.

[0389] "Reassuring displays" refer to information and messages presented on the screen to encourage users to feel secure, thereby reducing anxiety and supporting appropriate decision-making.

[0390] The system that realizes this invention consists of a server, a terminal, and a user. The server receives configuration data about the computer equipment, analyzes the data, and understands the configuration of the computing infrastructure. Normalization techniques are used for the analysis, and a visualization diagram is generated based on the results. The visualization diagram is formalized using a data structure model and displayed on the terminal so that the user can intuitively understand the information.

[0391] Furthermore, the server incorporates an emotion engine that analyzes the user's emotional state and dynamically adjusts the user interface. For example, if a user shows anxiety while performing a payment operation on the terminal, the server will display a reassuring message to alleviate that anxiety. This message plays a role in reducing the user's anxiety and supporting a smooth operation.

[0392] For example, when a user attempts to purchase an item on an online shopping site, they may show signs of anxiety before clicking the payment button. In this case, the emotion engine can detect this anxiety, and the server can assist the user by displaying a message such as, "This procedure is secure. Please refer to this guide if you need further information." Furthermore, generative AI models can be used to provide dynamic prompts based on the user's operation history and responses.

[0393] An example of a prompt message is, "Analyze the emotions the user is showing and plan displays that provide reassurance during electronic payments."

[0394] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0395] Step 1:

[0396] The user uploads configuration data exported from an existing computer device to the server via a terminal. The input data is a configuration file, which the server receives. The server accepts this configuration data as input and proceeds to the next step, the analysis process.

[0397] Step 2:

[0398] The server analyzes the received configuration data. Specifically, the server processes the data using normalization techniques and extracts various parameters to understand the configuration of the computing infrastructure. The output of this process is the configuration information of the computing infrastructure, which is used to generate visualization diagrams.

[0399] Step 3:

[0400] The server generates a visualization diagram based on the analyzed configuration information. The server utilizes a data structure model to create the configuration diagram in an intuitively understandable format. This configuration diagram is output to the terminal for user review.

[0401] Step 4:

[0402] When a user interacts with the device, the server uses an emotion engine to monitor the user's facial expressions and actions, and analyzes their emotional state. This input data is the user's facial expression data, and the emotion engine analyzes it to obtain the user's emotional state as output.

[0403] Step 5:

[0404] When a user performs a payment transaction, the server dynamically adjusts the operation screen according to the analyzed emotional state. Specifically, for example, if anxiety is detected, it generates a reassuring message and outputs it to the terminal. By displaying this message, the server reduces the user's anxiety and facilitates the payment process.

[0405] 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.

[0406] 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.

[0407] 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.

[0408] [Third Embodiment]

[0409] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0410] 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.

[0411] 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).

[0412] 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.

[0413] 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.

[0414] 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).

[0415] 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.

[0416] 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.

[0417] 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.

[0418] 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.

[0419] 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.

[0420] 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".

[0421] This invention provides a system for efficiently analyzing configuration data and generating setting data in an information processing infrastructure. The system has the ability to receive setting data exported from an information processing device and understand the overall configuration of the information processing infrastructure through its analysis.

[0422] First, the user uploads the configuration file of the information processing device to the system using a terminal. The server analyzes the uploaded file and obtains detailed configuration information for each device. In this process, the server normalizes the configuration data and converts it into a common format to ensure consistency in settings across different devices.

[0423] Next, the server generates a configuration diagram based on the acquired information. The configuration diagram visually shows the arrangement and interconnection of each device that makes up the information processing infrastructure. The server then constructs a dynamic graph based on this data and displays it through the user interface. By reviewing this, the user can easily grasp the overall picture.

[0424] Furthermore, the function for generating configuration data for different types of information processing devices will also be explained. The user specifies the type of device to be added to the system and the required configuration conditions. The server generates appropriate configuration data according to the specified conditions and provides it to the user. This enables the seamless deployment of new devices.

[0425] As a concrete example, consider a situation where a corporate network needs to integrate new devices from a different vendor while utilizing existing devices. The user uploads the configuration of the existing devices to the system and verifies the configuration diagram based on the analyzed information. Then, the user specifies the requirements for the new devices, and the server generates configuration data for the new devices based on this information. By applying this generated configuration, the user can integrate the new devices into the existing network without conflicts.

[0426] Thus, the present invention provides specific means for efficiently and accurately designing and modifying information processing infrastructure.

[0427] The following describes the processing flow.

[0428] Step 1:

[0429] The user uploads a configuration file exported from their information processing device to the system via a terminal. The terminal then sends the file to the server in the appropriate request format.

[0430] Step 2:

[0431] The server saves the received configuration file and verifies its file format. It then performs initial preparations for converting it to a standardized format to accommodate different vendors and devices.

[0432] Step 3:

[0433] The server uses the config_parser module to analyze the configuration file in detail. At this stage, it extracts the necessary parameters (e.g., IP address, subnet mask, routing information, etc.) and stores them in an internal database.

[0434] Step 4:

[0435] Based on the analysis results, the server uses the network_mapper module to map the entire network configuration. This establishes the relationships between devices and the physical structure (topology) of connections, generating visualizeable data.

[0436] Step 5:

[0437] The server uses this mapping result to generate a configuration diagram, which is then visually displayed to the user through the user interface. The user then reviews this diagram to understand the overall structure of the information processing infrastructure.

[0438] Step 6:

[0439] The user specifies the configuration requirements and details of configuration changes when adding a new device via the interface. This includes the type of new device and the required configuration conditions.

[0440] Step 7:

[0441] The server calls the config_generator module to generate new configuration data based on user specifications. Conversion processing to suit different types of information processing devices also takes place here.

[0442] Step 8:

[0443] The server provides the newly generated configuration data to the user and obtains feedback as needed. The user then uses this configuration data to apply the settings to the information processing device and complete the system changes.

[0444] (Example 1)

[0445] 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."

[0446] In existing data processing infrastructure, the increasing number of different types of data processing devices presents challenges in managing configuration information and ensuring interoperability. This is particularly difficult in environments where devices from different vendors coexist, making efficient configuration changes while maintaining consistency. In such environments, it is necessary to comprehensively and dynamically understand the entire network and seamlessly integrate new devices without conflicts when they are introduced.

[0447] 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.

[0448] In this invention, the server includes means for analyzing the configuration information of existing data processing devices to understand the configuration of the data processing infrastructure, means for generating visualization information of the data processing infrastructure based on the said configuration, and means for generating configuration information for different types of data processing devices. This makes it possible to efficiently add devices and change their configurations while maintaining consistency of configuration information, even in environments where different types of data processing devices coexist, and to dynamically grasp the state of the entire network.

[0449] A "data processing device" refers to equipment or systems used for processing, storing, and transferring data.

[0450] "Configuration information" refers to data and files that define the operation and connection environment of the data processing device.

[0451] A "data processing infrastructure" refers to the basic configuration and environment necessary for multiple data processing devices to work together.

[0452] "Means of understanding the configuration" refers to the technologies and methods used to analyze the configuration information of data processing devices and understand the overall configuration of the data processing infrastructure.

[0453] "Visualized information" refers to diagrams and graphs that visually represent the configuration and state of a data processing infrastructure.

[0454] "Different types of data processing devices" refers to data processing devices from different vendors or with different technical specifications.

[0455] "Normalization methods" refer to techniques and methods for standardizing configuration information in different formats into a common format.

[0456] A "common data format" refers to a standardized data format that allows different types of data to be handled.

[0457] An "interactive user interface" refers to a screen or system that users can interact with through operations and input.

[0458] A "dynamic graph data model" refers to a graph-based data model whose structure changes in real time in response to changes in the data.

[0459] The embodiments for carrying out this invention will be described below.

[0460] The user uses a terminal to retrieve configuration information exported from the network or individual data processing devices. This retrieved information is, for example, in the form of a configuration file or database export. The user then uploads these configuration files to the system to begin processing.

[0461] The server receives the uploaded configuration information. For processing, it uses software such as Python's parsing library to extract the configuration information for each data processing device. After extraction, the server normalizes this information and converts it to a common data format such as JSON to ensure consistency across different devices.

[0462] Next, the server visualizes the entire data processing infrastructure based on the normalized information. This visualization uses the JavaScript D3.js library to generate a dynamic graph model, which is then displayed through an interactive user interface. This allows users to understand the configuration and status of the entire network in real time.

[0463] Furthermore, when a user adds a new device to the network, the user inputs the type of the new device and the required configuration conditions into the system. Based on this input, the server generates configuration information to apply to the new device. Network management automation tools (such as Ansible) can be used to automatically generate configuration scripts. The user can then apply the generated configuration information to the new device and seamlessly integrate it into the network.

[0464] As a concrete example, consider a scenario where an organization integrates routers from different vendors into its network. In this case, the user first uploads the configuration of the existing router to the system, and the server parses and normalizes it. Then, the user specifies the type of router to add and enters the required configuration. A suitable example of a prompt would be, "To add a router from a new vendor, please generate a configuration script with VLAN settings and IP routing enabled." This allows the server to automatically generate the configuration while considering the specified information, ensuring compatibility across the entire network, and adding the device.

[0465] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0466] Step 1:

[0467] The user uploads configuration information for the data processing device to the system using a terminal. The input consists of configuration files and database export files. The uploaded files form the basis of the processing.

[0468] Step 2:

[0469] The server receives the uploaded configuration information. Specifically, it opens the received file on the file system and parses its contents using a Python parsing library. The input is the received configuration file, and the output is the configuration information for each device.

[0470] Step 3:

[0471] The server normalizes the extracted configuration information. Specifically, it uses regular expressions and data mapping to convert each device configuration into a common data format such as JSON. The input is parsed configuration information, and the output is normalized data. This ensures consistency between data.

[0472] Step 4:

[0473] The server generates visualization information for the data processing infrastructure based on normalized configuration information. Here, the D3.js library is used to create an interactive dynamic graph. The input is normalized data, and the output is visual graph data. This graph is displayed in the user interface, allowing the user to visualize the overall network structure.

[0474] Step 5:

[0475] The user enters a request to add a new device to the system. Specifically, they specify the type of new device and its configuration requirements as prompts. This constitutes the new input.

[0476] Step 6:

[0477] The server generates configuration information for the new device based on the input prompts. A configuration script is created using a management automation tool such as Ansible. The input is a prompt based on user specifications, and the output is a configuration script for the new device. The configuration script is provided to the user, who can then apply it to the new device.

[0478] (Application Example 1)

[0479] 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."

[0480] In modern information processing infrastructure, integrating different information processing devices from multiple manufacturers is challenging. Accurately analyzing the configuration information of each device and efficiently visualizing the integrated system configuration is not easy. Furthermore, quickly generating appropriate configuration information while maintaining compatibility with existing network configurations when adding new information processing devices is also difficult. Moreover, flexibility is required to perform these operations from anywhere.

[0481] 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.

[0482] In this invention, the server includes means for analyzing the configuration information of an existing information processing device to understand the configuration of an information processing infrastructure, means for generating a configuration diagram of the information processing infrastructure, means for generating configuration information for different types of information processing devices, means for visually displaying the configuration diagram on a portable terminal device, means for inputting the requirements of a new device from the portable terminal device, and means for dynamically generating appropriate configuration information based on the input requirements. This makes it possible to visualize the system configuration while maintaining consistency of configuration information between different devices, and enables the rapid introduction of new devices.

[0483] An "information processing infrastructure" is the overall system structure in which multiple information processing devices interact with each other to process and manage data.

[0484] "Configuration information" refers to data containing the settings necessary to determine the operation and functions of an information processing device.

[0485] "Analysis" is the process of examining in detail the configuration information obtained from an information processing device in order to understand its structure and operation.

[0486] A "configuration diagram" is a diagram that visually shows the arrangement and connection relationships of each information processing device in an information processing infrastructure.

[0487] A "portable terminal device" is an electronic device that can be easily carried around and used for managing and configuring information processing infrastructure.

[0488] "Requirements" refer to the specifications and conditions that are required when adding a new information processing device to an information processing infrastructure.

[0489] "Dynamically generated" refers to the process of flexibly and instantly creating the necessary data and settings based on existing information and input conditions.

[0490] This invention is a system for efficiently managing the configuration of an information processing infrastructure and facilitating the addition of new devices. The system consists of a portable terminal device and a server, and its details are described below.

[0491] First, the user uploads configuration information for the information processing device to the server using a portable terminal device. The server analyzes this configuration information to understand the overall configuration of the information processing infrastructure. During this process, a Python library is used to normalize the configuration information and ensure data consistency.

[0492] Next, the server uses a graph data model based on the analyzed data to generate a diagram of the information processing infrastructure. This diagram is dynamic and is visually displayed on a portable terminal device. By reviewing this diagram, users can easily understand the overall structure of the information processing infrastructure.

[0493] Subsequently, the user inputs the requirements for the device to be added to the information processing infrastructure via a portable terminal device. The server dynamically generates appropriate configuration information based on these input requirements. The generated configuration information is designed to maintain consistency with the existing system, enabling the user to deploy new devices to the existing network without conflict.

[0494] A concrete example of this invention is a scenario in which a network administrator at a company adds a new network switch to an existing group of servers. The network administrator can quickly obtain appropriate configuration information by uploading the settings of the existing servers and entering the requirements for the new switch using a portable terminal device.

[0495] An example of a prompt to the generating AI model might be: "Visualize the current network configuration of data center A and generate the optimal settings for the new network switch, while maintaining compatibility with the existing system and avoiding configuration conflicts." Based on this prompt, the system will provide configuration information efficiently and accurately.

[0496] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0497] Step 1:

[0498] The user selects configuration information for the information processing device using a portable terminal device and uploads it to the system. The configuration information selected by the user is transmitted from the portable terminal device to the server. The input data consists of configuration files containing different formats and vendor specifications.

[0499] Step 2:

[0500] The server parses the received configuration information. Using normalization techniques, it converts this configuration information into a unified format. This ensures consistency between configuration information from different information processing devices. In this process, the input data is inconsistent configuration file formats, while the output data is configuration data in a unified format.

[0501] Step 3:

[0502] The server generates a configuration diagram of the information processing infrastructure using standardized configuration data. It utilizes a graph data model to visualize the connection relationships between each information processing device. In this process, the input data is configuration data in a standardized format, and the output data is a visual network configuration diagram.

[0503] Step 4:

[0504] The user views the generated configuration diagram through a portable terminal device. This diagram is interactive, allowing the user to click and view details of each information processing device. The input is the user's interaction, and the output is the updated view of the configuration diagram.

[0505] Step 5:

[0506] The user inputs the requirements for the newly added information processing device into a portable terminal device. These requirements include connection methods and necessary configuration conditions. The input data consists of user-specified requirement information.

[0507] Step 6:

[0508] The server dynamically generates appropriate configuration information based on the input requirements. In this process, it uses a generation AI model to calculate settings consistent with the existing network. The input data consists of user requirements, and the output data consists of configuration information for the new device.

[0509] Step 7:

[0510] The generated configuration information is sent back to the portable terminal device and presented to the user. The user can then use this information to seamlessly integrate the new device into the existing information processing infrastructure. The input is the generated configuration information, and the output is the user's confirmation and application actions.

[0511] 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.

[0512] This invention provides an information processing infrastructure configuration analysis and generation system that dynamically adjusts according to the user's emotions. In addition to the function of analyzing the configuration data of the information processing device and understanding the configuration of the information processing infrastructure, this system integrates an emotion engine that recognizes the user's emotional state.

[0513] First, the user uploads a configuration file exported from the information processing device to the system via a terminal. The server then receives the configuration file and begins analyzing it. The server uses the config_parser module to extract various parameters and understand the configuration of the information processing infrastructure.

[0514] Based on this configuration information, the server generates a network configuration diagram with the help of the network_mapper module. The configuration diagram is visualized in the user interface, allowing users to intuitively grasp the overall picture of the information processing infrastructure.

[0515] The emotion engine monitors the user's interface interactions and analyzes their emotional state during use. Based on this analysis, the server dynamically adjusts the user interface as needed. For example, if it determines that the user is experiencing stress from the interaction, the interface is modified to provide user guides or step-by-step instructions.

[0516] In addition, when generating configuration data for different types of information processing devices, the system takes the user's emotional state into consideration and controls the presentation of information to ensure an appropriate amount and content. This improves the user experience and makes the configuration process smoother.

[0517] As a concrete example, consider a scenario where a user attempts to add a new device to an existing network. The user uploads a configuration file to the system and reviews the configuration diagram. If the emotion engine detects that the user appears confused, the server displays additional supplementary information on the interface and provides a detailed explanation of the configuration procedure. It also generates a configuration for the new device and supports the user in applying it with confidence.

[0518] Thus, the present invention aims to enable the design and configuration changes of an information processing infrastructure to be adapted to the user's emotions by utilizing an emotion engine.

[0519] The following describes the processing flow.

[0520] Step 1:

[0521] The user uploads a configuration file exported from the information processing device to the system via a terminal. The terminal then accurately sends this file to the server.

[0522] Step 2:

[0523] The server receives the uploaded configuration file and verifies its file format. The server then applies an appropriate normalization technique and prepares to convert the file into a common structure.

[0524] Step 3:

[0525] The server uses the config_parser module to perform a detailed analysis of the configuration file. Here, each parameter (IP address, VLAN information, routing information, etc.) is extracted and organized in an internal database.

[0526] Step 4:

[0527] Based on the analysis results, the server uses the network_mapper module to map the network configuration. This module understands the connection relationships between devices and generates a network topology in graph format.

[0528] Step 5:

[0529] The server visualizes the generated network topology and displays it as a configuration diagram in the user interface. The user uses this to get an overview of the network.

[0530] Step 6:

[0531] To recognize the user's emotional state, the emotion engine monitors interactions on the interface. The server acquires emotional data in real time and analyzes the user's state.

[0532] Step 7:

[0533] Based on the analysis results of the emotion engine, the server dynamically adjusts the information displayed on the interface and the user guide. For example, if it determines that the user is confused, it will display detailed help or tutorials.

[0534] Step 8:

[0535] The user inputs the configuration conditions for the information processing device they wish to add into the system. Based on this information, the server uses config_generator to generate new configuration data for the device.

[0536] Step 9:

[0537] The server provides the generated configuration data to the user and receives instructions for fine-tuning as needed. The user then applies the final, confirmed configuration data to the information processing device to complete the network changes.

[0538] (Example 2)

[0539] 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."

[0540] As the configuration and settings of information processing infrastructure become more complex, there is a problem in that it is difficult for users to understand and operate them appropriately. Furthermore, there is a lack of support to reduce the stress and confusion users experience when performing configuration tasks, and to enable them to perform configuration work efficiently.

[0541] 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.

[0542] In this invention, the server includes means for analyzing the configuration data of an existing information processing device to understand the configuration of an information processing infrastructure, means for generating a visualized configuration diagram of the information processing infrastructure, means for recognizing the user's emotional state and dynamically adjusting the interface based on the recognition result, and means for optimizing and generating configuration data for different types of information processing devices according to the user's emotional state. This enables intuitive and efficient configuration and operation of the information processing infrastructure in accordance with the user's emotions.

[0543] An "information processing device" is a general term for a device that has the ability to input, process, store, and output data.

[0544] "Configuration data" refers to detailed information used to determine the operation and configuration of an information processing device.

[0545] An "information processing infrastructure" refers to the structure and environment that serve as the foundation for information processing devices and their related systems to work together.

[0546] A "configuration diagram" is a graphical representation of the structure and interconnections of an information processing infrastructure.

[0547] "Emotional state" refers to the user's psychological state, including states such as stress and relaxation.

[0548] An "interface" refers to the means or methods that enable interaction between a user and a system.

[0549] "Optimization" means adjusting something to maximize its performance or efficiency under specific conditions.

[0550] This invention is a system that dynamically adjusts the settings of an information processing infrastructure according to the user's emotions. The system mainly consists of a server, a terminal, and the user.

[0551] First, the user obtains a configuration file from their information processing device and uploads it to the system via a terminal. This configuration file contains important data that determines the operation and configuration of the information processing device, and serves as basic data for the system to analyze.

[0552] The server uses the config_parser module to parse the received configuration file. This analysis extracts various configuration parameters of the information processing device and allows the server to understand the configuration of the information processing infrastructure. This enables the server to grasp the overall picture of the information processing infrastructure.

[0553] Next, the server generates a configuration diagram using the network_mapper module. This diagram visually represents the connectivity of the information processing infrastructure and is displayed through the user interface to make it easy for users to understand.

[0554] Furthermore, the emotion engine monitors the user's emotional state and analyzes their psychological condition based on interface operation data such as click frequency and browsing time. Based on this analysis, the server adjusts the interface as needed to help the user operate in a relaxed state. For example, if it is determined that the user is feeling stressed, it can display an "operation guide" or "step-by-step instructions."

[0555] Furthermore, the analysis results of this emotion engine are also used when generating configuration data for different types of information processing devices. By adjusting the amount and presentation method of information according to the user's emotions, the system enables users to understand the information and make quick and accurate configurations.

[0556] As a concrete example, consider a case where a user adds a new network device to an existing information processing infrastructure. The user can upload the appropriate configuration file and view a visualized configuration diagram. If the sentiment engine recognizes that the user is confused, the server provides additional explanations on the user interface to support and clarify the configuration process.

[0557] An example of a prompt message might be a request like, "I want to add a new device to the network. Please guide me through the setup process while recognizing my emotions."

[0558] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0559] Step 1:

[0560] The user uploads a configuration file to the system using a terminal. To upload, the user uses a file selection screen and clicks the submit button. The input is a configuration file exported from the information processing device, and this file is transferred to the server. The output is the configuration file that has been successfully transferred to the server.

[0561] Step 2:

[0562] After receiving the uploaded configuration file, the server parses the file using the config_parser module. The parsing process uses the contents of the received configuration file as input. The server extracts the file's components and generates configuration data for the information processing infrastructure. As a result, various configuration parameters are saved to the database as output.

[0563] Step 3:

[0564] The server generates a network configuration diagram using the network_mapper module based on the analysis results. The input is the configuration data of the information processing infrastructure, which is the output of step 2. The server visually represents this data and generates a configuration diagram as output. This configuration diagram is displayed in the user interface.

[0565] Step 4:

[0566] The emotion engine monitors user interface interactions and analyzes their emotional state. Its input is interface usage data, such as user click frequency and interaction patterns. The emotion engine processes this data to infer the user's emotional state and identifies it as an output, such as stress or relaxation.

[0567] Step 5:

[0568] The server receives the output from the emotion engine and dynamically adjusts the interface. The input is the user's emotional state obtained in step 4. The server makes adjustments, for example, by displaying additional information if the user is feeling stressed. The output is the updated interface provided to the user.

[0569] Step 6:

[0570] The server optimizes the generation of configuration data for different information processing devices based on the user's emotional state. The input consists of the configuration information to be generated and data on the user's emotional state. The server uses these to adjust the amount of information and presentation method, generating the configuration data in the most optimal format as output.

[0571] (Application Example 2)

[0572] 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."

[0573] In today's world, understanding and properly managing the complex settings and configurations of computer devices is a burden for many users. Similarly, there is a growing need to provide peace of mind to users who feel uneasy during online payment transactions, while ensuring that the process is safe and smooth.

[0574] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0575] In this invention, the server includes means for analyzing the configuration data of existing computer devices to understand the configuration of the computing infrastructure, means for generating a visualization diagram of the computing infrastructure, means for generating configuration data for different types of computer devices, means for analyzing the emotional state of users and dynamically adjusting the operation screen, and means for analyzing the emotions of users when they perform payment operations and displaying reassuring information. This reduces the burden of managing the configuration of computer devices and enables users to make online payments with peace of mind.

[0576] A "computer device" is a mechanical device used for processing information, primarily for storing, analyzing, and managing data.

[0577] "Computing infrastructure" refers to the fundamental components and environment necessary to operate a computer system, and includes a combination of hardware and software.

[0578] A "visualization diagram" is a graphic representation used to visually show the structure and relationships of information and data, aiding understanding and enabling intuitive grasp.

[0579] "Configuration data" refers to information used to specify the operating conditions and parameters of computer devices and systems, and plays an important role in the characteristics and operation of the device.

[0580] "Emotional state" refers to the expression of emotions that a user shows in a particular situation, and often includes psychological states that are expressed through behavior and attitude.

[0581] An "operation screen" refers to an interface that allows users to directly interact with and control a computer or software, and includes visual elements for accessing its functions.

[0582] "Reassuring displays" refer to information and messages presented on the screen to encourage users to feel secure, thereby reducing anxiety and supporting appropriate decision-making.

[0583] The system that realizes this invention consists of a server, a terminal, and a user. The server receives configuration data about the computer equipment, analyzes the data, and understands the configuration of the computing infrastructure. Normalization techniques are used for the analysis, and a visualization diagram is generated based on the results. The visualization diagram is formalized using a data structure model and displayed on the terminal so that the user can intuitively understand the information.

[0584] Furthermore, the server incorporates an emotion engine that analyzes the user's emotional state and dynamically adjusts the user interface. For example, if a user shows anxiety while performing a payment operation on the terminal, the server will display a reassuring message to alleviate that anxiety. This message plays a role in reducing the user's anxiety and supporting a smooth operation.

[0585] For example, when a user attempts to purchase an item on an online shopping site, they may show signs of anxiety before clicking the payment button. In this case, the emotion engine can detect this anxiety, and the server can assist the user by displaying a message such as, "This procedure is secure. Please refer to this guide if you need further information." Furthermore, generative AI models can be used to provide dynamic prompts based on the user's operation history and responses.

[0586] An example of a prompt message is, "Analyze the emotions the user is showing and plan displays that provide reassurance during electronic payments."

[0587] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0588] Step 1:

[0589] The user uploads configuration data exported from an existing computer device to the server via a terminal. The input data is a configuration file, which the server receives. The server accepts this configuration data as input and proceeds to the next step, the analysis process.

[0590] Step 2:

[0591] The server analyzes the received configuration data. Specifically, the server processes the data using normalization techniques and extracts various parameters to understand the configuration of the computing infrastructure. The output of this process is the configuration information of the computing infrastructure, which is used to generate visualization diagrams.

[0592] Step 3:

[0593] The server generates a visualization diagram based on the analyzed configuration information. The server utilizes a data structure model to create the configuration diagram in an intuitively understandable format. This configuration diagram is output to the terminal for user review.

[0594] Step 4:

[0595] When a user interacts with the device, the server uses an emotion engine to monitor the user's facial expressions and actions, and analyzes their emotional state. This input data is the user's facial expression data, and the emotion engine analyzes it to obtain the user's emotional state as output.

[0596] Step 5:

[0597] When a user performs a payment transaction, the server dynamically adjusts the operation screen according to the analyzed emotional state. Specifically, for example, if anxiety is detected, it generates a reassuring message and outputs it to the terminal. By displaying this message, the server reduces the user's anxiety and facilitates the payment process.

[0598] 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.

[0599] 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.

[0600] 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.

[0601] [Fourth Embodiment]

[0602] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0603] 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.

[0604] 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).

[0605] 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.

[0606] 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.

[0607] 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).

[0608] 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.

[0609] 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.

[0610] 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.

[0611] 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.

[0612] 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.

[0613] 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.

[0614] 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".

[0615] This invention provides a system for efficiently analyzing configuration data and generating setting data in an information processing infrastructure. The system has the ability to receive setting data exported from an information processing device and understand the overall configuration of the information processing infrastructure through its analysis.

[0616] First, the user uploads the configuration file of the information processing device to the system using a terminal. The server analyzes the uploaded file and obtains detailed configuration information for each device. In this process, the server normalizes the configuration data and converts it into a common format to ensure consistency in settings across different devices.

[0617] Next, the server generates a configuration diagram based on the acquired information. The configuration diagram visually shows the arrangement and interconnection of each device that makes up the information processing infrastructure. The server then constructs a dynamic graph based on this data and displays it through the user interface. By reviewing this, the user can easily grasp the overall picture.

[0618] Furthermore, the function for generating configuration data for different types of information processing devices will also be explained. The user specifies the type of device to be added to the system and the required configuration conditions. The server generates appropriate configuration data according to the specified conditions and provides it to the user. This enables the seamless deployment of new devices.

[0619] As a concrete example, consider a situation where a corporate network needs to integrate new devices from a different vendor while utilizing existing devices. The user uploads the configuration of the existing devices to the system and verifies the configuration diagram based on the analyzed information. Then, the user specifies the requirements for the new devices, and the server generates configuration data for the new devices based on this information. By applying this generated configuration, the user can integrate the new devices into the existing network without conflicts.

[0620] Thus, the present invention provides specific means for efficiently and accurately designing and modifying information processing infrastructure.

[0621] The following describes the processing flow.

[0622] Step 1:

[0623] The user uploads a configuration file exported from their information processing device to the system via a terminal. The terminal then sends the file to the server in the appropriate request format.

[0624] Step 2:

[0625] The server saves the received configuration file and verifies its file format. It then performs initial preparations for converting it to a standardized format to accommodate different vendors and devices.

[0626] Step 3:

[0627] The server uses the config_parser module to analyze the configuration file in detail. At this stage, it extracts the necessary parameters (e.g., IP address, subnet mask, routing information, etc.) and stores them in an internal database.

[0628] Step 4:

[0629] Based on the analysis results, the server uses the network_mapper module to map the entire network configuration. This establishes the relationships between devices and the physical structure (topology) of connections, generating visualizeable data.

[0630] Step 5:

[0631] The server uses this mapping result to generate a configuration diagram, which is then visually displayed to the user through the user interface. The user then reviews this diagram to understand the overall structure of the information processing infrastructure.

[0632] Step 6:

[0633] The user specifies the configuration requirements and details of configuration changes when adding a new device via the interface. This includes the type of new device and the required configuration conditions.

[0634] Step 7:

[0635] The server calls the config_generator module to generate new configuration data based on user specifications. Conversion processing to suit different types of information processing devices also takes place here.

[0636] Step 8:

[0637] The server provides the newly generated configuration data to the user and obtains feedback as needed. The user then uses this configuration data to apply the settings to the information processing device and complete the system changes.

[0638] (Example 1)

[0639] 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".

[0640] In existing data processing infrastructure, the increasing number of different types of data processing devices presents challenges in managing configuration information and ensuring interoperability. This is particularly difficult in environments where devices from different vendors coexist, making efficient configuration changes while maintaining consistency. In such environments, it is necessary to comprehensively and dynamically understand the entire network and seamlessly integrate new devices without conflicts when they are introduced.

[0641] 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.

[0642] In this invention, the server includes means for analyzing the configuration information of existing data processing devices to understand the configuration of the data processing infrastructure, means for generating visualization information of the data processing infrastructure based on the said configuration, and means for generating configuration information for different types of data processing devices. This makes it possible to efficiently add devices and change their configurations while maintaining consistency of configuration information, even in environments where different types of data processing devices coexist, and to dynamically grasp the state of the entire network.

[0643] A "data processing device" refers to equipment or systems used for processing, storing, and transferring data.

[0644] "Configuration information" refers to data and files that define the operation and connection environment of the data processing device.

[0645] A "data processing infrastructure" refers to the basic configuration and environment necessary for multiple data processing devices to work together.

[0646] "Means of understanding the configuration" refers to the technologies and methods used to analyze the configuration information of data processing devices and understand the overall configuration of the data processing infrastructure.

[0647] "Visualized information" refers to diagrams and graphs that visually represent the configuration and state of a data processing infrastructure.

[0648] "Different types of data processing devices" refers to data processing devices from different vendors or with different technical specifications.

[0649] "Normalization methods" refer to techniques and methods for standardizing configuration information in different formats into a common format.

[0650] A "common data format" refers to a standardized data format that allows different types of data to be handled.

[0651] An "interactive user interface" refers to a screen or system that users can interact with through operations and input.

[0652] A "dynamic graph data model" refers to a graph-based data model whose structure changes in real time in response to changes in the data.

[0653] The embodiments for carrying out this invention will be described below.

[0654] The user uses a terminal to retrieve configuration information exported from the network or individual data processing devices. This retrieved information is, for example, in the form of a configuration file or database export. The user then uploads these configuration files to the system to begin processing.

[0655] The server receives the uploaded configuration information. For processing, it uses software such as Python's parsing library to extract the configuration information for each data processing device. After extraction, the server normalizes this information and converts it to a common data format such as JSON to ensure consistency across different devices.

[0656] Next, the server visualizes the entire data processing infrastructure based on the normalized information. This visualization uses the JavaScript D3.js library to generate a dynamic graph model, which is then displayed through an interactive user interface. This allows users to understand the configuration and status of the entire network in real time.

[0657] Furthermore, when a user adds a new device to the network, the user inputs the type of the new device and the required configuration conditions into the system. Based on this input, the server generates configuration information to apply to the new device. Network management automation tools (such as Ansible) can be used to automatically generate configuration scripts. The user can then apply the generated configuration information to the new device and seamlessly integrate it into the network.

[0658] As a concrete example, consider a scenario where an organization integrates routers from different vendors into its network. In this case, the user first uploads the configuration of the existing router to the system, and the server parses and normalizes it. Then, the user specifies the type of router to add and enters the required configuration. A suitable example of a prompt would be, "To add a router from a new vendor, please generate a configuration script with VLAN settings and IP routing enabled." This allows the server to automatically generate the configuration while considering the specified information, ensuring compatibility across the entire network, and adding the device.

[0659] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0660] Step 1:

[0661] The user uploads configuration information for the data processing device to the system using a terminal. The input consists of configuration files and database export files. The uploaded files form the basis of the processing.

[0662] Step 2:

[0663] The server receives the uploaded configuration information. Specifically, it opens the received file on the file system and parses its contents using a Python parsing library. The input is the received configuration file, and the output is the configuration information for each device.

[0664] Step 3:

[0665] The server normalizes the extracted configuration information. Specifically, it uses regular expressions and data mapping to convert each device configuration into a common data format such as JSON. The input is parsed configuration information, and the output is normalized data. This ensures consistency between data.

[0666] Step 4:

[0667] The server generates visualization information for the data processing infrastructure based on normalized configuration information. Here, the D3.js library is used to create an interactive dynamic graph. The input is normalized data, and the output is visual graph data. This graph is displayed in the user interface, allowing the user to visualize the overall network structure.

[0668] Step 5:

[0669] The user enters a request to add a new device to the system. Specifically, they specify the type of new device and its configuration requirements as prompts. This constitutes the new input.

[0670] Step 6:

[0671] The server generates configuration information for the new device based on the input prompts. A configuration script is created using a management automation tool such as Ansible. The input is a prompt based on user specifications, and the output is a configuration script for the new device. The configuration script is provided to the user, who can then apply it to the new device.

[0672] (Application Example 1)

[0673] 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".

[0674] In modern information processing infrastructure, integrating different information processing devices from multiple manufacturers is challenging. Accurately analyzing the configuration information of each device and efficiently visualizing the integrated system configuration is not easy. Furthermore, quickly generating appropriate configuration information while maintaining compatibility with existing network configurations when adding new information processing devices is also difficult. Moreover, flexibility is required to perform these operations from anywhere.

[0675] 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.

[0676] In this invention, the server includes means for analyzing the configuration information of an existing information processing device to understand the configuration of an information processing infrastructure, means for generating a configuration diagram of the information processing infrastructure, means for generating configuration information for different types of information processing devices, means for visually displaying the configuration diagram on a portable terminal device, means for inputting the requirements of a new device from the portable terminal device, and means for dynamically generating appropriate configuration information based on the input requirements. This makes it possible to visualize the system configuration while maintaining consistency of configuration information between different devices, and enables the rapid introduction of new devices.

[0677] An "information processing infrastructure" is the overall system structure in which multiple information processing devices interact with each other to process and manage data.

[0678] "Configuration information" refers to data containing the settings necessary to determine the operation and functions of an information processing device.

[0679] "Analysis" is the process of examining in detail the configuration information obtained from an information processing device in order to understand its structure and operation.

[0680] A "configuration diagram" is a diagram that visually shows the arrangement and connection relationships of each information processing device in an information processing infrastructure.

[0681] A "portable terminal device" is an electronic device that can be easily carried around and used for managing and configuring information processing infrastructure.

[0682] "Requirements" refer to the specifications and conditions that are required when adding a new information processing device to an information processing infrastructure.

[0683] "Dynamically generated" refers to the process of flexibly and instantly creating the necessary data and settings based on existing information and input conditions.

[0684] This invention is a system for efficiently managing the configuration of an information processing infrastructure and facilitating the addition of new devices. The system consists of a portable terminal device and a server, and its details are described below.

[0685] First, the user uploads configuration information for the information processing device to the server using a portable terminal device. The server analyzes this configuration information to understand the overall configuration of the information processing infrastructure. During this process, a Python library is used to normalize the configuration information and ensure data consistency.

[0686] Next, the server uses a graph data model based on the analyzed data to generate a diagram of the information processing infrastructure. This diagram is dynamic and is visually displayed on a portable terminal device. By reviewing this diagram, users can easily understand the overall structure of the information processing infrastructure.

[0687] Subsequently, the user inputs the requirements for the device to be added to the information processing infrastructure via a portable terminal device. The server dynamically generates appropriate configuration information based on these input requirements. The generated configuration information is designed to maintain consistency with the existing system, enabling the user to deploy new devices to the existing network without conflict.

[0688] A concrete example of this invention is a scenario in which a network administrator at a company adds a new network switch to an existing group of servers. The network administrator can quickly obtain appropriate configuration information by uploading the settings of the existing servers and entering the requirements for the new switch using a portable terminal device.

[0689] An example of a prompt to the generating AI model might be: "Visualize the current network configuration of data center A and generate the optimal settings for the new network switch, while maintaining compatibility with the existing system and avoiding configuration conflicts." Based on this prompt, the system will provide configuration information efficiently and accurately.

[0690] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0691] Step 1:

[0692] The user selects configuration information for the information processing device using a portable terminal device and uploads it to the system. The configuration information selected by the user is transmitted from the portable terminal device to the server. The input data consists of configuration files containing different formats and vendor specifications.

[0693] Step 2:

[0694] The server parses the received configuration information. Using normalization techniques, it converts this configuration information into a unified format. This ensures consistency between configuration information from different information processing devices. In this process, the input data is inconsistent configuration file formats, while the output data is configuration data in a unified format.

[0695] Step 3:

[0696] The server generates a configuration diagram of the information processing infrastructure using standardized configuration data. It utilizes a graph data model to visualize the connection relationships between each information processing device. In this process, the input data is configuration data in a standardized format, and the output data is a visual network configuration diagram.

[0697] Step 4:

[0698] The user views the generated configuration diagram through a portable terminal device. This diagram is interactive, allowing the user to click and view details of each information processing device. The input is the user's interaction, and the output is the updated view of the configuration diagram.

[0699] Step 5:

[0700] The user inputs the requirements for the newly added information processing device into a portable terminal device. These requirements include connection methods and necessary configuration conditions. The input data consists of user-specified requirement information.

[0701] Step 6:

[0702] The server dynamically generates appropriate configuration information based on the input requirements. In this process, it uses a generation AI model to calculate settings consistent with the existing network. The input data consists of user requirements, and the output data consists of configuration information for the new device.

[0703] Step 7:

[0704] The generated configuration information is sent back to the portable terminal device and presented to the user. The user can then use this information to seamlessly integrate the new device into the existing information processing infrastructure. The input is the generated configuration information, and the output is the user's confirmation and application actions.

[0705] 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.

[0706] This invention provides an information processing infrastructure configuration analysis and generation system that dynamically adjusts according to the user's emotions. In addition to the function of analyzing the configuration data of the information processing device and understanding the configuration of the information processing infrastructure, this system integrates an emotion engine that recognizes the user's emotional state.

[0707] First, the user uploads a configuration file exported from the information processing device to the system via a terminal. The server then receives the configuration file and begins analyzing it. The server uses the config_parser module to extract various parameters and understand the configuration of the information processing infrastructure.

[0708] Based on this configuration information, the server generates a network configuration diagram with the help of the network_mapper module. The configuration diagram is visualized in the user interface, allowing users to intuitively grasp the overall picture of the information processing infrastructure.

[0709] The emotion engine monitors the user's interface interactions and analyzes their emotional state during use. Based on this analysis, the server dynamically adjusts the user interface as needed. For example, if it determines that the user is experiencing stress from the interaction, the interface is modified to provide user guides or step-by-step instructions.

[0710] In addition, when generating configuration data for different types of information processing devices, the system takes the user's emotional state into consideration and controls the presentation of information to ensure an appropriate amount and content. This improves the user experience and makes the configuration process smoother.

[0711] As a concrete example, consider a scenario where a user attempts to add a new device to an existing network. The user uploads a configuration file to the system and reviews the configuration diagram. If the emotion engine detects that the user appears confused, the server displays additional supplementary information on the interface and provides a detailed explanation of the configuration procedure. It also generates a configuration for the new device and supports the user in applying it with confidence.

[0712] Thus, the present invention aims to enable the design and configuration changes of an information processing infrastructure to be adapted to the user's emotions by utilizing an emotion engine.

[0713] The following describes the processing flow.

[0714] Step 1:

[0715] The user uploads a configuration file exported from the information processing device to the system via a terminal. The terminal then accurately sends this file to the server.

[0716] Step 2:

[0717] The server receives the uploaded configuration file and verifies its file format. The server then applies an appropriate normalization technique and prepares to convert the file into a common structure.

[0718] Step 3:

[0719] The server uses the config_parser module to perform a detailed analysis of the configuration file. Here, each parameter (IP address, VLAN information, routing information, etc.) is extracted and organized in an internal database.

[0720] Step 4:

[0721] Based on the analysis results, the server uses the network_mapper module to map the network configuration. This module understands the connection relationships between devices and generates a network topology in graph format.

[0722] Step 5:

[0723] The server visualizes the generated network topology and displays it as a configuration diagram in the user interface. The user uses this to get an overview of the network.

[0724] Step 6:

[0725] To recognize the user's emotional state, the emotion engine monitors interactions on the interface. The server acquires emotional data in real time and analyzes the user's state.

[0726] Step 7:

[0727] Based on the analysis results of the emotion engine, the server dynamically adjusts the information displayed on the interface and the user guide. For example, if it determines that the user is confused, it will display detailed help or tutorials.

[0728] Step 8:

[0729] The user inputs the configuration conditions for the information processing device they wish to add into the system. Based on this information, the server uses config_generator to generate new configuration data for the device.

[0730] Step 9:

[0731] The server provides the generated configuration data to the user and receives instructions for fine-tuning as needed. The user then applies the final, confirmed configuration data to the information processing device to complete the network changes.

[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 robot 414 as the "terminal".

[0734] As the configuration and settings of information processing infrastructure become more complex, there is a problem in that it is difficult for users to understand and operate them appropriately. Furthermore, there is a lack of support to reduce the stress and confusion users experience when performing configuration tasks, and to enable them to perform configuration work efficiently.

[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 analyzing the configuration data of an existing information processing device to understand the configuration of an information processing infrastructure, means for generating a visualized configuration diagram of the information processing infrastructure, means for recognizing the user's emotional state and dynamically adjusting the interface based on the recognition result, and means for optimizing and generating configuration data for different types of information processing devices according to the user's emotional state. This enables intuitive and efficient configuration and operation of the information processing infrastructure in accordance with the user's emotions.

[0737] An "information processing device" is a general term for a device that has the ability to input, process, store, and output data.

[0738] "Configuration data" refers to detailed information used to determine the operation and configuration of an information processing device.

[0739] An "information processing infrastructure" refers to the structure and environment that serve as the foundation for information processing devices and their related systems to work together.

[0740] A "configuration diagram" is a graphical representation of the structure and interconnections of an information processing infrastructure.

[0741] "Emotional state" refers to the user's psychological state, including states such as stress and relaxation.

[0742] An "interface" refers to the means or methods that enable interaction between a user and a system.

[0743] "Optimization" means adjusting something to maximize its performance or efficiency under specific conditions.

[0744] This invention is a system that dynamically adjusts the settings of an information processing infrastructure according to the user's emotions. The system mainly consists of a server, a terminal, and the user.

[0745] First, the user obtains a configuration file from their information processing device and uploads it to the system via a terminal. This configuration file contains important data that determines the operation and configuration of the information processing device, and serves as basic data for the system to analyze.

[0746] The server uses the config_parser module to parse the received configuration file. This analysis extracts various configuration parameters of the information processing device and allows the server to understand the configuration of the information processing infrastructure. This enables the server to grasp the overall picture of the information processing infrastructure.

[0747] Next, the server generates a configuration diagram using the network_mapper module. This diagram visually represents the connectivity of the information processing infrastructure and is displayed through the user interface to make it easy for users to understand.

[0748] Furthermore, the emotion engine monitors the user's emotional state and analyzes their psychological condition based on interface operation data such as click frequency and browsing time. Based on this analysis, the server adjusts the interface as needed to help the user operate in a relaxed state. For example, if it is determined that the user is feeling stressed, it can display an "operation guide" or "step-by-step instructions."

[0749] Furthermore, the analysis results of this emotion engine are also used when generating configuration data for different types of information processing devices. By adjusting the amount and presentation method of information according to the user's emotions, the system enables users to understand the information and make quick and accurate configurations.

[0750] As a concrete example, consider a case where a user adds a new network device to an existing information processing infrastructure. The user can upload the appropriate configuration file and view a visualized configuration diagram. If the sentiment engine recognizes that the user is confused, the server provides additional explanations on the user interface to support and clarify the configuration process.

[0751] An example of a prompt message might be a request like, "I want to add a new device to the network. Please guide me through the setup process while recognizing my emotions."

[0752] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0753] Step 1:

[0754] The user uploads a configuration file to the system using a terminal. To upload, the user uses a file selection screen and clicks the submit button. The input is a configuration file exported from the information processing device, and this file is transferred to the server. The output is the configuration file that has been successfully transferred to the server.

[0755] Step 2:

[0756] After receiving the uploaded configuration file, the server parses the file using the config_parser module. The parsing process uses the contents of the received configuration file as input. The server extracts the file's components and generates configuration data for the information processing infrastructure. As a result, various configuration parameters are saved to the database as output.

[0757] Step 3:

[0758] The server generates a network configuration diagram using the network_mapper module based on the analysis results. The input is the configuration data of the information processing infrastructure, which is the output of step 2. The server visually represents this data and generates a configuration diagram as output. This configuration diagram is displayed in the user interface.

[0759] Step 4:

[0760] The emotion engine monitors user interface interactions and analyzes their emotional state. Its input is interface usage data, such as user click frequency and interaction patterns. The emotion engine processes this data to infer the user's emotional state and identifies it as an output, such as stress or relaxation.

[0761] Step 5:

[0762] The server receives the output from the emotion engine and dynamically adjusts the interface. The input is the user's emotional state obtained in step 4. The server makes adjustments, for example, by displaying additional information if the user is feeling stressed. The output is the updated interface provided to the user.

[0763] Step 6:

[0764] The server optimizes the generation of configuration data for different information processing devices based on the user's emotional state. The input consists of the configuration information to be generated and data on the user's emotional state. The server uses these to adjust the amount of information and presentation method, generating the configuration data in the most optimal format as output.

[0765] (Application Example 2)

[0766] 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".

[0767] In today's world, understanding and properly managing the complex settings and configurations of computer devices is a burden for many users. Similarly, there is a growing need to provide peace of mind to users who feel uneasy during online payment transactions, while ensuring that the process is safe and smooth.

[0768] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0769] In this invention, the server includes means for analyzing the configuration data of existing computer devices to understand the configuration of the computing infrastructure, means for generating a visualization diagram of the computing infrastructure, means for generating configuration data for different types of computer devices, means for analyzing the emotional state of users and dynamically adjusting the operation screen, and means for analyzing the emotions of users when they perform payment operations and displaying reassuring information. This reduces the burden of managing the configuration of computer devices and enables users to make online payments with peace of mind.

[0770] A "computer device" is a mechanical device used for processing information, primarily for storing, analyzing, and managing data.

[0771] "Computing infrastructure" refers to the fundamental components and environment necessary to operate a computer system, and includes a combination of hardware and software.

[0772] A "visualization diagram" is a graphic representation used to visually show the structure and relationships of information and data, aiding understanding and enabling intuitive grasp.

[0773] "Configuration data" refers to information used to specify the operating conditions and parameters of computer devices and systems, and plays an important role in the characteristics and operation of the device.

[0774] "Emotional state" refers to the expression of emotions that a user shows in a particular situation, and often includes psychological states that are expressed through behavior and attitude.

[0775] An "operation screen" refers to an interface that allows users to directly interact with and control a computer or software, and includes visual elements for accessing its functions.

[0776] "Reassuring displays" refer to information and messages presented on the screen to encourage users to feel secure, thereby reducing anxiety and supporting appropriate decision-making.

[0777] The system that realizes this invention consists of a server, a terminal, and a user. The server receives configuration data about the computer equipment, analyzes the data, and understands the configuration of the computing infrastructure. Normalization techniques are used for the analysis, and a visualization diagram is generated based on the results. The visualization diagram is formalized using a data structure model and displayed on the terminal so that the user can intuitively understand the information.

[0778] Furthermore, the server incorporates an emotion engine that analyzes the user's emotional state and dynamically adjusts the user interface. For example, if a user shows anxiety while performing a payment operation on the terminal, the server will display a reassuring message to alleviate that anxiety. This message plays a role in reducing the user's anxiety and supporting a smooth operation.

[0779] For example, when a user attempts to purchase an item on an online shopping site, they may show signs of anxiety before clicking the payment button. In this case, the emotion engine can detect this anxiety, and the server can assist the user by displaying a message such as, "This procedure is secure. Please refer to this guide if you need further information." Furthermore, generative AI models can be used to provide dynamic prompts based on the user's operation history and responses.

[0780] An example of a prompt message is, "Analyze the emotions the user is showing and plan displays that provide reassurance during electronic payments."

[0781] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0782] Step 1:

[0783] The user uploads configuration data exported from an existing computer device to the server via a terminal. The input data is a configuration file, which the server receives. The server accepts this configuration data as input and proceeds to the next step, the analysis process.

[0784] Step 2:

[0785] The server analyzes the received configuration data. Specifically, the server processes the data using normalization techniques and extracts various parameters to understand the configuration of the computing infrastructure. The output of this process is the configuration information of the computing infrastructure, which is used to generate visualization diagrams.

[0786] Step 3:

[0787] The server generates a visualization diagram based on the analyzed configuration information. The server utilizes a data structure model to create the configuration diagram in an intuitively understandable format. This configuration diagram is output to the terminal for user review.

[0788] Step 4:

[0789] When a user interacts with the device, the server uses an emotion engine to monitor the user's facial expressions and actions, and analyzes their emotional state. This input data is the user's facial expression data, and the emotion engine analyzes it to obtain the user's emotional state as output.

[0790] Step 5:

[0791] When a user performs a payment transaction, the server dynamically adjusts the operation screen according to the analyzed emotional state. Specifically, for example, if anxiety is detected, it generates a reassuring message and outputs it to the terminal. By displaying this message, the server reduces the user's anxiety and facilitates the payment process.

[0792] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 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.

[0793] 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.

[0794] 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 robot 414.

[0795] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0796] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0797] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0798] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0799] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0800] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0801] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0802] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0803] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0804] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0805] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0806] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0807] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0808] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0809] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0810] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0811] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0812] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0813] The following is further disclosed regarding the embodiments described above.

[0814] (Claim 1)

[0815] A means of understanding the configuration of an information processing infrastructure by analyzing the configuration data of existing information processing devices,

[0816] Based on the above configuration, means for generating a configuration diagram of the information processing infrastructure,

[0817] A means for generating configuration data for different types of information processing devices,

[0818] A system that includes this.

[0819] (Claim 2)

[0820] The system according to claim 1, wherein the analysis of the aforementioned setting data includes a method using a normalization technique.

[0821] (Claim 3)

[0822] The system according to claim 1, wherein the generation of the configuration diagram includes a method using a graph data model.

[0823] "Example 1"

[0824] (Claim 1)

[0825] A means of understanding the configuration of the data processing infrastructure by analyzing the configuration information of existing data processing devices,

[0826] Based on the above configuration, means for generating visualization information of the data processing infrastructure,

[0827] A means for generating configuration information for different types of data processing devices,

[0828] A means for normalizing the analyzed configuration information and converting it into a common data format,

[0829] Means for displaying the aforementioned visualization information through an interactive user interface,

[0830] A system that includes this.

[0831] (Claim 2)

[0832] The system according to claim 1, wherein the normalization of the setting information includes a method using a data analysis technique.

[0833] (Claim 3)

[0834] The system according to claim 1, wherein the generation of the visualization information includes a method using a dynamic graph data model.

[0835] "Application Example 1"

[0836] (Claim 1)

[0837] A means of understanding the configuration of an information processing infrastructure by analyzing the configuration information of existing information processing devices,

[0838] Based on the above configuration, means for generating a configuration diagram of the information processing infrastructure,

[0839] Means for generating configuration information for different types of information processing devices,

[0840] A means for visually displaying a configuration diagram in a portable terminal device,

[0841] A means of inputting new equipment requirements from a portable terminal device,

[0842] A means for dynamically generating appropriate configuration information based on the input requirements,

[0843] A system that includes this.

[0844] (Claim 2)

[0845] The system according to claim 1, wherein the analysis of the aforementioned setting information includes a method using a normalization technique.

[0846] (Claim 3)

[0847] The system according to claim 1, wherein the generation of the configuration diagram includes a method using a graph data model.

[0848] "Example 2 of combining an emotion engine"

[0849] (Claim 1)

[0850] A means of understanding the configuration of an information processing infrastructure by analyzing the configuration data of existing information processing devices,

[0851] Based on the above configuration, means for generating a visualized configuration diagram of the information processing infrastructure,

[0852] A means for recognizing the user's emotional state and dynamically adjusting the interface based on that recognition result,

[0853] A means for optimizing and generating configuration data for different types of information processing devices according to the user's emotional state,

[0854] A system that includes this.

[0855] (Claim 2)

[0856] The system according to claim 1, wherein the analysis of the aforementioned setting data includes a method using a normalization technique.

[0857] (Claim 3)

[0858] The system according to claim 1, wherein the generation of the configuration diagram includes a method using a graph data model.

[0859] "Application example 2 when combining with an emotional engine"

[0860] (Claim 1)

[0861] A means of understanding the configuration of the computing infrastructure by analyzing the configuration data of existing computer equipment,

[0862] Based on the above configuration, means for generating a visualization diagram of the computing infrastructure,

[0863] A means for generating configuration data for different types of computer devices,

[0864] A means of dynamically adjusting the user interface by analyzing the user's emotional state,

[0865] A means of analyzing the emotions of users when they perform a payment transaction and displaying information that provides a sense of security,

[0866] A system that includes this.

[0867] (Claim 2)

[0868] The system according to claim 1, wherein the analysis of the aforementioned setting data includes a method using normalization techniques.

[0869] (Claim 3)

[0870] The system according to claim 1, wherein the generation of the visualization includes a method using a data structure model. [Explanation of Symbols]

[0871] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of understanding the configuration of an information processing infrastructure by analyzing the configuration information of existing information processing devices, Based on the above configuration, means for generating a configuration diagram of the information processing infrastructure, Means for generating configuration information for different types of information processing devices, A means for visually displaying a configuration diagram in a portable terminal device, A means of inputting new equipment requirements from a portable terminal device, A means for dynamically generating appropriate configuration information based on the input requirements, A system that includes this.

2. The system according to claim 1, wherein the analysis of the setting information includes a method using a normalization technique.

3. The system according to claim 1, wherein the generation of the configuration diagram includes a method using a graph data model.

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