system

Abstract

We provide the system. [Solution] A means for receiving user input information, A means for comparing the specifications and manual information in the database based on the user input information, A means for analyzing past operational errors and equipment accident information in the aforementioned database and extracting risk points, Means for generating a customized manual based on the aforementioned matching and analysis results, Means for providing the generated customized manual to the user, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, 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 in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the replacement and maintenance work of devices in existing base stations and center facilities, it is necessary to manually search for specification documents and manuals and check information on past operation mistakes and equipment accidents. This process takes time and increases the risk of human error. Furthermore, important risk points related to specific devices are likely to be overlooked, which may cause operation mistakes and accidents. Therefore, an integrated system for improving the efficiency of device replacement and maintenance work and preventing operation mistakes and accidents in advance is required.

Means for Solving the Problems

[0005] The present invention solves the above problems by providing a system that includes means for receiving user input information, means for comparing specification and manual information in a database based on the user input information, means for analyzing information on past operational errors and equipment accidents in the database and extracting risk points, means for generating a customized manual based on the results of the comparison and analysis, and means for providing the generated customized manual to the user.

[0006] "User input information" refers to data entered by the user as information regarding the replacement or maintenance of the device.

[0007] A "database" is a system that stores and manages equipment specifications, manuals, and information on past operational errors and equipment accidents.

[0008] A "specification sheet" is a document that describes the technical details and usage instructions of a device.

[0009] A "manual" is an instructional document that describes the operating procedures and precautions for a device.

[0010] An "operation error" refers to a mistake or error that occurs during the operation of a device.

[0011] An "equipment accident" is an accident that occurs due to the misuse or malfunction of equipment.

[0012] A "risk point" refers to a critical point of caution or risk that could lead to operational errors or equipment malfunctions.

[0013] A "customized manual" is a document containing customized operating instructions and precautions, generated according to a specific device and its usage.

[0014] "PDF format" is the abbreviation of Portable Document Format, which is a commonly used format for electronic documents.

[0015] "Means for providing" refers to the function or mechanism for delivering the generated customized manual to the user.

Brief Description of Drawings

[0016] [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 Embodiment 2 when the 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 the emotion engine is combined.

Modes for Carrying Out the Invention

[0017] Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, the numbered 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), etc.

[0020] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0021] In the following embodiments, the numbered 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.

[0022] 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).

[0023] 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."

[0024] [First Embodiment]

[0025] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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".

[0037] This invention relates to a system in which, upon receiving information from a user about equipment that needs replacement or maintenance, the system compares this information with specifications and manuals in a database, analyzes records of past operational errors and equipment accidents to extract potential hazards, generates a customized manual, and provides it to the user.

[0038] System Configuration

[0039] A system primarily consists of three elements: servers, terminals, and users.

[0040] ---

[0041] 1. Database Construction

[0042] server

[0043] A database has been established to store equipment specifications, manuals, and records of operational errors and equipment accidents.

[0044] The database contains detailed specifications, operating procedures, and associated hazards for each device.

[0045] ---

[0046] 2. Receiving user input information

[0047] terminal

[0048] It provides an interface for users to input information about the equipment they wish to replace or maintain. The form includes fields for the equipment model number, type, and details of the replacement or maintenance request.

[0049] User

[0050] The user enters the device model number and replacement request details into a form via the terminal. Once the input is complete, the data is sent to the server via the terminal.

[0051] ---

[0052] 3. Matching and Analysis

[0053] server

[0054] The system receives the entered device information and compares it with the device information in the database. It then identifies the relevant specifications and operation manuals.

[0055] At the same time, records of past operational errors and equipment accidents are also searched to identify relevant risk points.

[0056] ---

[0057] 4. Generating a customized manual

[0058] server

[0059] Based on the matching and analysis results, a customized manual related to a specific device is generated.

[0060] This manual provides detailed instructions on specific operating procedures, precautions, and identified hazards.

[0061] ---

[0062] 5. Provision of manuals

[0063] server

[0064] Convert the generated customized manual to PDF format and prepare it for transmission to the user's device.

[0065] terminal

[0066] The sent PDF manual will be displayed to the user and made available for download.

[0067] ---

[0068] Specific example

[0069] Scenario: Replacing the antenna equipment at a base station

[0070] ---

[0071] User input

[0072] The user enters information into the terminal to replace the "antenna device model number XZ-123".

[0073] Matching and Analysis

[0074] The server searches the database for specifications and manuals related to the XZ-123 antenna device and extracts them.

[0075] The server also searches records of past operational errors and equipment accidents related to the XZ-123, and analyzes data on accidents caused by "misuse of tools" and "failure to follow power-off procedures."

[0076] Manual generation

[0077] Based on this information, the server generates a customized manual that includes operating procedures and potential hazards. This manual includes instructions such as "Always follow the power-off procedure" and "Correct use of specific tools."

[0078] Provision and notification

[0079] The generated manual will be sent to the user's device in PDF format, and a notification will be issued.

[0080] ---

[0081] In this way, the system of the present invention supports the efficient and safe replacement and maintenance of equipment based on information entered by the user.

[0082] The following describes the processing flow.

[0083] ---

[0084] Step 1:

[0085] terminal

[0086] A form is displayed for the user to enter information about the equipment that needs to be replaced or maintained (model number, type, type, and request details).

[0087] ---

[0088] Step 2:

[0089] User

[0090] Enter the device information into the form and click the submit button to send the data to your terminal.

[0091] ---

[0092] Step 3:

[0093] terminal

[0094] It generates a request to send the device information entered by the user to the server, and then sends it to the server.

[0095] ---

[0096] Step 4:

[0097] server

[0098] The received user input information is compared with the device information in the database.

[0099] Search for and extract the specifications and operation manuals for the relevant equipment.

[0100] ---

[0101] Step 5:

[0102] server

[0103] At the same time, the database is searched for records of past operational errors and equipment accidents related to the aforementioned device.

[0104] ---

[0105] Step 6:

[0106] server

[0107] We analyze the records of operational errors and equipment accidents that we have searched for, and identify potential hazards.

[0108] Based on the analysis results, we will clarify the factors that make accidents and mistakes more likely to occur.

[0109] ---

[0110] Step 7:

[0111] server

[0112] A customized manual is generated based on the verified specifications, operation manuals, and analyzed risk points.

[0113] The generated manual will contain specific operating procedures and important precautions.

[0114] ---

[0115] Step 8:

[0116] server

[0117] Convert the generated customized manual into PDF format and prepare it for distribution to users.

[0118] ---

[0119] Step 9:

[0120] server

[0121] Send the completed PDF manual to the user's device.

[0122] ---

[0123] Step 10:

[0124] terminal

[0125] The received PDF manual is displayed to the user, and a download link is provided.

[0126] ---

[0127] Step 11:

[0128] User

[0129] Refer to the provided PDF manual and perform any necessary equipment replacement or maintenance work.

[0130] ---

[0131] The above provides a detailed step-by-step explanation of how the system works.

[0132] (Example 1)

[0133] 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."

[0134] In conventional equipment replacement and maintenance, it was difficult for users to quickly grasp the appropriate operating procedures and safety precautions. In particular, if information on past operational failures or equipment accidents was not taken into consideration, the risk of similar problems occurring again increased. This resulted in challenges such as decreased work efficiency and safety issues.

[0135] 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.

[0136] In this invention, the server includes means for receiving user input information, means for comparing technical specifications and operating instructions in a database based on the user input information, and means for analyzing information on past operational failures and equipment accidents in the database and extracting safety risk points. This makes it possible to provide users with customized operating instructions for efficient and safe replacement and maintenance of equipment.

[0137] "User input information" refers to information entered by the user into the system, including the device's identification number, model, type, and details of replacement work or maintenance requests.

[0138] "Technical specifications" are detailed descriptions of the performance and functions of a particular device, and provide information that indicates the design and usage of that device.

[0139] An "operating manual" is a document or manual that outlines the procedures and precautions for using, maintaining, and replacing equipment.

[0140] "Operational failure" refers to errors or mistakes that occur during the use of equipment, and includes recorded information about their causes and effects.

[0141] "Equipment accidents" refer to instances where devices or equipment malfunctioned and caused accidents, and the information recorded includes details, causes, and countermeasures for such incidents.

[0142] "Safety hazard points" refer to areas or procedures that require attention during work, identified based on records of past operational failures and equipment accidents.

[0143] A "customized operating manual" is a document containing individualized operating procedures and precautions, created based on user input information and database data, tailored to specific devices and situations.

[0144] An "electronic document format" refers to the format in which a document is stored and provided as a digital file, with PDF being a common example.

[0145] This invention relates to a system in which, upon receiving information from a user about equipment requiring replacement or maintenance, the system compares technical specifications and operating instructions in a database, analyzes records of past operational failures and equipment accidents to extract safety hazards, and generates and provides customized operating instructions to the user. The system mainly consists of three elements: a server, a terminal, and a user.

[0146] 1. Database Construction

[0147] server

[0148] The server builds a database containing the technical specifications of the equipment, operating instructions, and records of operational failures and equipment accidents. This database registers detailed specifications, operating procedures, and related hazards for each piece of equipment.

[0149] For example, a table called "Antennas" can store the model number, specifications, operating procedures, and past accident records for each antenna.

[0150] 2. Receiving user input information

[0151] terminal

[0152] The terminal provides an interface for users to input information about equipment that needs to be replaced or maintained. The form includes input fields such as "model number," "device type," and "replacement work details."

[0153] User

[0154] The user enters the necessary information, such as "XZ-123" or "antenna replacement," into the form displayed on the terminal, and then presses the submit button to send the data to the server.

[0155] 3. Matching and Analysis

[0156] server

[0157] The server receives device information sent by the user and searches the database for the corresponding technical specifications and operating instructions.

[0158] Furthermore, records of past operational failures and equipment accidents related to specific devices are searched, and relevant risk points are extracted.

[0159] For example, we would find the technical specifications and operating instructions for the antenna of the "XZ-123" and investigate accident records caused by "misuse of tools" or "failure to follow power-off procedures."

[0160] 4. Generating a customized manual

[0161] server

[0162] Based on the extracted information, the server generates customized operating instructions related to the specific device.

[0163] The document should include specific operating procedures, precautions, and identified safety hazards.

[0164] For example, the generated manual will include detailed instructions on "power-off procedures" and "correct usage of specific tools."

[0165] 5. Provision of manuals

[0166] server

[0167] Convert the generated, customized operating instructions into PDF format and prepare them for transmission to the user's device.

[0168] terminal

[0169] The terminal displays the sent PDF manual to the user and makes it available for download.

[0170] As a concrete example, the message "The manual has been generated. Please download it." will be displayed on the device screen.

[0171] Specific example

[0172] Scenario: Replacing the antenna equipment at a base station.

[0173] 1. User input

[0174] The user enters information into the terminal to replace the "antenna device model number XZ-123".

[0175] 2. Matching and Analysis

[0176] The server searches its database for and extracts technical specifications and operating instructions related to the antenna device with the model number "XZ-123".

[0177] The server also searches for records of past operational failures and equipment accidents related to "XZ-123," and analyzes data on accidents caused by "misuse of tools" and "failure to follow power-off procedures."

[0178] 3. Manual generation

[0179] Based on this information, the server generates customized operating instructions that include procedures and potential hazards. These instructions include "Always follow the power-off procedure" and "Correct use of specific tools."

[0180] 4. Provision and Notification

[0181] The generated manual will be sent to the user's device in PDF format, and a notification will be issued.

[0182] In this way, the system of the present invention supports the efficient and safe replacement and maintenance of equipment based on information entered by the user.

[0183] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0184] Step 1:

[0185] The server builds a database containing the technical specifications of the equipment, operating instructions, and records of operational failures and equipment accidents. The database registers detailed specifications, operating procedures, and associated risk factors for each piece of equipment. Inputs include equipment model numbers, performance information, and past accident records. The server stores this information in the database and formats it for use in matching and analysis.

[0186] Step 2:

[0187] The terminal provides an interface for users to input information about equipment that needs to be replaced or maintained. The form includes input fields such as "model number," "device type," and "replacement work details," which the user fills in. The entered information is temporarily held on the terminal and sent to the server when the submit button is clicked. The user's input information is sent to the server as output.

[0188] Step 3:

[0189] The server receives device information sent by the user and searches and extracts the corresponding technical specifications and operating instructions from the database. The user's device information is used as input, and the server matches it against the database. The output is the corresponding technical specifications and operating instructions.

[0190] Step 4:

[0191] The server searches a database for records of past operational failures and equipment accidents related to a specific piece of equipment and extracts potential hazards. The inputs used are the equipment's identification number and related historical records. The server analyzes these records and extracts them as hazards. The output is the identified hazards.

[0192] Step 5:

[0193] The server generates customized operating instructions relevant to a specific device based on the extracted technical specifications, operating instructions, and hazard points. The input is the information extracted in the previous step. The server integrates this information to create customized operating instructions that detail the operating procedures, precautions, and extracted hazard points. The output is the generated operating instructions.

[0194] Step 6:

[0195] The server converts the generated customized operating instructions into PDF format and prepares to send them to the user's terminal. The input is the content of the operating instructions, and the output is a PDF file.

[0196] Step 7:

[0197] The terminal displays the transmitted PDF manual to the user and makes it available for download. The input is the PDF file received from the server, and the output is the displayed PDF and a download button. For example, the terminal screen displays the message, "The manual has been generated. Please download it."

[0198] (Application Example 1)

[0199] 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."

[0200] Conventional maintenance and replacement work requires users to refer to operation manuals and specifications, which has been criticized for reducing work efficiency and increasing the possibility of operational errors. Furthermore, a lack of specific instructions regarding dangerous operating points has led to a high risk of accidents. This invention solves these problems and provides a system that delivers customized manuals in real time using smart devices, thereby improving work efficiency and safety.

[0201] 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.

[0202] In this invention, the server includes means for receiving user input information, means for comparing it with specification and manual information in a database, means for analyzing information on past operational errors and equipment accidents and extracting risk points, means including a display device for visually displaying the generated customized manual in real time, and means for enabling the user to operate without using their hands using the display device. As a result, the user can visually check the necessary information in real time while working and can operate while keeping their hands free. This improves work efficiency and reduces the risk of operational errors and accidents.

[0203] "User input information" refers to information that includes the user's device model number, type, and details of replacement work or maintenance requests.

[0204] A "database" is a collection of information that stores data such as equipment specifications, operation manuals, records of operational errors and equipment accidents, and allows for retrieval and analysis when necessary.

[0205] A "specification sheet" is a document that contains technical information about a device, such as its detailed specifications and operating instructions.

[0206] "Manual information" refers to a guide that details the operating procedures and precautions for the device.

[0207] "Operation error" refers to incorrect procedures or inappropriate operations that occur when operating equipment.

[0208] "Equipment accidents" refer to accidents caused by misuse or malfunction of equipment.

[0209] A "danger point" is an area that requires attention to safety, identified from records of past operational errors and equipment accidents.

[0210] A "customized manual" is a manual that contains individual operating procedures and precautions generated for specific equipment or situations.

[0211] A "display device" is a device that provides users with a generated, customized manual visually in real time.

[0212] "Real-time" refers to a state in which information is processed immediately and provided to the user without delay.

[0213] This invention relates to a system that provides customized maintenance and replacement manuals in real time based on device information entered by the user. This system consists of three elements: a server, a terminal, and a user.

[0214] System Configuration

[0215] A system primarily consists of three elements: servers, terminals, and users.

[0216] 1. Database Construction

[0217] server

[0218] A database has been established to store equipment specifications, manuals, and records of operational errors and equipment accidents.

[0219] The database contains detailed specifications, operating procedures, and associated hazards for each device.

[0220] 2. Receiving user input information

[0221] terminal

[0222] It provides an interface for users to input information about the equipment they wish to replace or maintain. The form includes fields for the equipment model number, type, and details of the replacement or maintenance request.

[0223] User

[0224] The user enters the device model number and replacement request details into a form via the terminal. Once the input is complete, the data is sent to the server via the terminal.

[0225] 3. Matching and Analysis

[0226] server

[0227] The system receives the entered device information and compares it with the device information in the database. It then identifies the relevant specifications and operation manuals.

[0228] At the same time, records of past operational errors and equipment accidents are also searched to identify relevant risk points.

[0229] 4. Generating a customized manual

[0230] server

[0231] Based on the matching and analysis results, a customized manual related to a specific device is generated.

[0232] This manual provides detailed instructions on specific operating procedures, precautions, and identified hazards.

[0233] 5. Provision of manuals

[0234] server

[0235] Convert the generated customized manual to PDF format and prepare it for transmission to the user's device.

[0236] At the same time, the customized manual is transmitted to a display device for real-time visual display.

[0237] terminal

[0238] The sent PDF manual will be displayed to the user and made available for download.

[0239] A customized manual, provided visually in real time, allows users to operate the system without using their hands.

[0240] Specific example

[0241] Scenario: Replacing the antenna equipment at a base station

[0242] User input

[0243] The user enters information into the terminal to replace the antenna device with model number XZ-123.

[0244] Matching and Analysis

[0245] The server searches its database for and extracts specifications and manuals related to the XZ-123 antenna device.

[0246] The server also searches for records of past operational errors and equipment accidents related to the XZ-123, and analyzes data on accidents caused by "misuse of tools" and "failure to follow power-off procedures."

[0247] Manual generation

[0248] Based on this information, the server generates a customized manual that includes operating procedures and potential hazards. This manual includes instructions such as "Always follow the power-off procedure" and "Correct use of specific tools."

[0249] Provision and notification

[0250] The generated manual is sent to the user's device in PDF format, and simultaneously to a display device for real-time visual presentation.

[0251] Example of a prompt

[0252] "To generate a customized guide for your device repair process, please provide the following information:"

[0253] "Device type:"

[0254] "Device model number:"

[0255] "Details of maintenance or replacement work:"

[0256] "Records of past operational errors or accidents:"

[0257] "Specific points of caution or potential hazards:"

[0258] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0259] Step 1:

[0260] Receiving user input information

[0261] The user enters information about the device to be replaced or maintained (model number, type, type, and request details) via a terminal. The terminal receives this information and sends it to the server.

[0262] Input: Device model number, model, type, request details

[0263] Output: Sending device information to the server

[0264] Step 2:

[0265] Database matching

[0266] The server uses the received device information to compare it with the specifications and manuals in the database. Specifically, it searches for documents corresponding to the device's model number and type.

[0267] Input: Received device information

[0268] Output: Applicable specifications and manual information

[0269] Step 3:

[0270] Analysis of operational errors and accident records

[0271] The server searches the database for information on past operational errors and equipment accidents, and identifies and analyzes risk points related to the received equipment information.

[0272] Input: Received device information and verification result

[0273] Output: Identified danger points

[0274] Step 4:

[0275] Generating a customized manual

[0276] The server generates a customized manual for a specific device based on the matching and analysis results. This manual includes specific operating procedures, precautions, and identified hazards.

[0277] Input: Matching results and analysis results

[0278] Output: Customized manual

[0279] Step 5:

[0280] Conversion and provision of customized manuals

[0281] The server converts the generated customized manual into PDF format and sends it to the user's terminal. It also sends it to a display device for real-time visual display.

[0282] Input: Generated customized manual

[0283] Output: Customized manual in PDF format, data for real-time display

[0284] Step 6:

[0285] Visual display of the manual

[0286] The terminal displays a customized manual in PDF format to the user and makes it downloadable. At the same time, the customized manual visually displayed in real time enables the user to operate without using their hands.

[0287] Input: Customized manual in PDF format, data for real-time display

[0288] Output: Displayed customized manual, user work support

[0289] Furthermore, an emotion engine for estimating the user's emotion may be combined. That is, the specific processing unit 290 may estimate the user's emotion using the emotion recognition model 59 and perform specific processing using the user's emotion.

[0290] The present invention relates to a system that, when the user inputs information about a device that requires replacement or maintenance, collates the specifications and manuals in the database, analyzes the records of past operation mistakes and equipment accidents to extract risk points, generates a customized manual, and provides it to the user. Furthermore, by combining an emotion engine that recognizes the user's emotion, a customized manual corresponding to the user's emotion is provided.

[0291] System configuration

[0292] The system mainly consists of three elements: a server, a terminal, and a user.

[0293] ---

[0294] 1. Database construction

[0295] Server

[0296] A database is constructed to store the specifications, manuals, and records of operation errors and equipment accidents of the device.

[0297] The database registers detailed specifications, operation procedures, and related risk factors for each device.

[0298] ---

[0299] 2. Reception of User Input Information

[0300] Terminal

[0301] Provide an interface for the user to input information about the device to be replaced or maintained. The form is provided with fields for entering the device model number, model, and the content of the replacement work or maintenance request.

[0302] User

[0303] Through the terminal, the user enters the device model number and the content of the replacement request into the form. When the input is completed, the data is sent to the server via the terminal.

[0304] ---

[0305] 3. Matching Process and Analysis

[0306] Server

[0307] Receive the input device information and match it with the device information in the database. Identify the corresponding specifications and operation manuals.

[0308] At the same time, search for the records of past operation errors and equipment accidents related to the device, and identify the relevant risk points.

[0309] ---

[0310] 4. Emotion recognition by an emotion engine

[0311] terminal

[0312] When users input device information, the system also provides a function to recognize the user's emotions from text or voice input.

[0313] Emotional Engine

[0314] It analyzes the user's text and voice input to recognize their emotions.

[0315] The recognized emotion information is sent to the server.

[0316] ---

[0317] 5. Generating a customized manual

[0318] server

[0319] Based on the matching and analysis results, as well as the emotional information received from the emotion engine, a customized manual related to a specific device is generated.

[0320] This manual provides detailed instructions on specific operating procedures, precautions, and identified hazards.

[0321] Customize the content to highlight important notes and warnings based on the user's emotions.

[0322] ---

[0323] 6. Provision of manuals

[0324] server

[0325] Convert the generated customized manual to PDF format and prepare it for transmission to the user's device.

[0326] terminal

[0327] The sent PDF manual will be displayed to the user and made available for download.

[0328] ---

[0329] Specific example

[0330] Scenario: Replacing the antenna equipment at a base station

[0331] ---

[0332] User input

[0333] The user enters information into the terminal to replace the antenna device, model number XZ-123. If the user feels anxious about the replacement process, they can also enter their feelings as text or voice.

[0334] emotion recognition

[0335] The emotion engine recognizes the emotion "anxiety" from the user's input. The emotion information is sent to the server.

[0336] Matching and Analysis

[0337] The server searches the database for specifications and manuals related to the XZ-123 antenna device and extracts them.

[0338] The server also searches records of past operational errors and equipment accidents related to the XZ-123, and analyzes data on accidents caused by "misuse of tools" and "failure to follow power-off procedures."

[0339] Manual generation

[0340] Based on this information, the server generates a customized manual that includes operating procedures and potential hazards. This manual includes instructions such as "Always follow the power-off procedure" and "Correct use of specific tools."

[0341] Based on the user's emotional information, such as "anxiety," important notes are highlighted using bold text or a different color.

[0342] Provision and notification

[0343] The generated manual will be sent to the user's device in PDF format, and a notification will be issued.

[0344] ---

[0345] Thus, the system of the present invention supports the efficient and safe replacement and maintenance of equipment based on information and emotions input by the user.

[0346] The following describes the processing flow.

[0347] ---

[0348] Step 1:

[0349] terminal

[0350] A form is displayed for the user to enter information about the equipment that needs to be replaced or maintained (model number, type, type, and request details).

[0351] ---

[0352] Step 2:

[0353] User

[0354] Enter the device information into the form and click the submit button to send the data to the terminal. You can also enter your current emotions (e.g., anxiety, relief, confusion, etc.) via text or voice input.

[0355] ---

[0356] Step 3:

[0357] terminal

[0358] It generates a request to send the device information and emotion information entered by the user to the server, and then sends it to the server.

[0359] ---

[0360] Step 4:

[0361] server

[0362] The system verifies the device information in the database based on the received user input. It then searches for and extracts the specifications and operation manuals for the corresponding devices.

[0363] ---

[0364] Step 5:

[0365] server

[0366] Simultaneously, the database is searched for records of past operational errors and equipment accidents related to the device, and relevant risk points are identified.

[0367] ---

[0368] Step 6:

[0369] Emotional Engine

[0370] The system analyzes emotional information received from the user to recognize the user's emotions (anxiety, relief, confusion, etc.).

[0371] The recognized emotion information is sent to the server.

[0372] ---

[0373] Step 7:

[0374] server

[0375] Based on emotional information from the emotion engine, a customized manual is generated according to the matching and analysis results. This manual details specific operating procedures, precautions, and identified risk points.

[0376] Depending on the user's emotions, important notes and warnings should be highlighted as needed (e.g., bolding notes if the user is feeling anxious).

[0377] ---

[0378] Step 8:

[0379] server

[0380] Convert the generated customized manual to PDF format and prepare it for transmission to the user's device.

[0381] ---

[0382] Step 9:

[0383] server

[0384] Send the completed PDF manual to the user's device.

[0385] ---

[0386] Step 10:

[0387] terminal

[0388] The received PDF manual is displayed to the user, and a download link is provided.

[0389] ---

[0390] Step 11:

[0391] User

[0392] Refer to the provided PDF manual and perform any necessary equipment replacement or maintenance work.

[0393] ---

[0394] The above outlines the specific processing steps of the system that combines the emotion engine.

[0395] (Example 2)

[0396] 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".

[0397] There is a problem in that users cannot perform tasks safely and efficiently when replacing or maintaining equipment using only the information in existing manuals. Furthermore, manuals that do not consider the user's emotional state cannot alleviate user anxiety.

[0398] 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.

[0399] In this invention, the server includes means for receiving user input information, means for comparing it with specification and manual information in a database, means for analyzing information on past operational errors and equipment accidents and extracting risk points, means for recognizing emotions from user input information, means for generating a customized manual based on the matching and analysis results and emotion information, and means for converting the generated customized manual into PDF format and providing it to the user. This makes it possible to provide a customized manual that takes into account the user's input information and emotions, thereby supporting safe and efficient work.

[0400] "User input information" refers to information provided by the user to the system, including the model number, type, and specifications of the device, as well as requests for replacement work or maintenance.

[0401] A "database" is a collection of digital information used to store equipment specifications, manuals, and records of past operational errors and equipment accidents.

[0402] A "specification sheet" is a document that describes the detailed specifications, functions, and usage instructions of a particular device.

[0403] A "manual" is a document that includes guidelines explaining the operation procedures and maintenance methods of a device.

[0404] "Operation error" refers to a record of human error or improper operation that occurred during the operation of equipment.

[0405] "Equipment accidents" are records of equipment malfunctions or problems that occur.

[0406] A "danger point" is an area that requires special attention during the operation or maintenance of equipment, based on analysis of past data.

[0407] An "emotion engine" is a system that analyzes and recognizes emotions from text or voice input by the user.

[0408] A "customized manual" is a manual created by customizing the operating procedures and precautions for a specific device based on user input and emotional information.

[0409] "PDF format" is an electronic document format that converts generated documents into a form that users can easily view and download.

[0410] This invention is a system in which, upon receiving information from a user about equipment requiring replacement or maintenance, the system compares this information with specifications and manuals in a database, analyzes records of past operational errors and equipment accidents to extract risk points, and generates and provides a customized manual to the user. Furthermore, by incorporating an emotion engine that recognizes the user's emotions, the system provides a customized manual tailored to the user's feelings.

[0411] System Configuration

[0412] A system primarily consists of three elements: servers, terminals, and users.

[0413] Database Construction

[0414] server

[0415] The server will build a database to store equipment specifications, manuals, and records of past operational errors and equipment accidents.

[0416] The database contains detailed specifications, operating procedures, and associated hazards for each device.

[0417] Receiving user input information

[0418] terminal

[0419] It provides an interface for users to input information about the equipment they wish to replace or maintain. The interface includes fields for entering the equipment model number, type, and details of the replacement or maintenance request.

[0420] User

[0421] Users use their devices to enter the necessary information into fields and send the data to the server by clicking / tapping the submit button.

[0422] Matching and analysis

[0423] server

[0424] The server receives device information sent by the user and compares it with the information in the database. It identifies the relevant specifications and operation manuals, searches for records of past operational errors and equipment accidents, and identifies related risk points.

[0425] Emotion recognition by an emotion engine

[0426] terminal

[0427] The terminal provides a function that recognizes the user's emotions from text or voice input when the user enters device information.

[0428] Emotional Engine

[0429] The emotion engine analyzes emotions from text and voice input by the user and sends the emotion data to the server.

[0430] Generating a customized manual

[0431] server

[0432] The server generates a customized manual related to a specific device based on the matching and analysis results, as well as emotional information.

[0433] The manual will detail specific operating procedures, precautions, and identified hazards. It will also include emphasis on important precautions and warnings, tailored to the user's perspective.

[0434] Provision of customized manuals

[0435] server

[0436] The server converts the generated customized manual into PDF format and sends it to the user's device.

[0437] terminal

[0438] The terminal displays the transmitted PDF manual to the user and provides a download link.

[0439] Specific example

[0440] Scenario: Replacing the antenna equipment at a base station

[0441] User input

[0442] The user enters "information for replacing antenna device model number XZ-123" into the terminal and inputs any concerns about the replacement process as text or voice.

[0443] emotion recognition

[0444] The emotion engine recognizes the emotion "anxiety," and the emotional information is sent to the server.

[0445] Matching and Analysis

[0446] The server searches the database for specifications and manuals related to the XZ-123 antenna device. Simultaneously, it searches for records of related past operational errors and equipment accidents, identifying accident data caused by "misuse of tools" and "failure to follow power-off procedures."

[0447] Manual generation

[0448] Based on this information, the server generates a customized manual that includes specific operating procedures and precautions. Important precautions are highlighted in bold or color based on the user's concerns.

[0449] Provision and notification

[0450] The server sends the generated manual in PDF format to the user's device and sends a notification. The device displays a button that says "Download here."

[0451] Examples of prompts to input into a generative AI model

[0452] "I'm unsure about the procedure for replacing the antenna unit, model number XZ-123. Please provide a customized manual that includes specific operating procedures and precautions."

[0453] This invention allows users to receive a customized manual based on the information and emotions they input, enabling them to efficiently and safely replace or maintain equipment.

[0454] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0455] Step 1:

[0456] Database Construction

[0457] server

[0458] The server first builds a database to store equipment specifications, manuals, and records of past operational errors and equipment accidents. This database registers detailed specifications, operating procedures, and associated risk factors for each piece of equipment. For example, the server uploads the specification sheet, operation manual, and past accident reports for a "Type XYZ device" as input data and stores them in the database.

[0459] Step 2:

[0460] Receiving user input information

[0461] terminal

[0462] The terminal provides an interface for users to input information about the equipment they wish to replace or maintain. For example, it can be configured to allow users to enter the equipment's model number, type, and details of the replacement or maintenance request in a form. The input data might be something like "Replace parts for machine A123".

[0463] User

[0464] The user uses their device to enter the necessary information into the fields and sends the data to the server by clicking / tapping the submit button. Specifically, they would enter "Replace parts for machine A123" and submit it.

[0465] Step 3:

[0466] Input data verification and analysis

[0467] server

[0468] The server receives device information sent by the user and compares it with the information in the database. If the input data relates to "Machine A123," it identifies and extracts the relevant specifications and operation manuals from the database. It also searches for records of past operational errors and equipment accidents to identify related risk points.

[0469] operation

[0470] The server extracts the spec sheet and manual for "Machine A123," as well as past accident data related to "misuse of tools" and "failure to follow power-off procedures," as analysis data.

[0471] Step 4:

[0472] Emotion recognition by an emotion engine

[0473] terminal

[0474] The terminal provides a function that recognizes the user's emotions from text or voice input when the user enters device information. For example, the user might input, "I feel anxious about this task."

[0475] Emotional Engine

[0476] The emotion engine analyzes emotions from text and voice input by the user and sends the recognized emotion data to the server. Specifically, it identifies the emotion of "anxiety."

[0477] operation

[0478] The emotion engine outputs "anxiety" as an analysis result and sends it to the server.

[0479] Step 5:

[0480] Generating a customized manual

[0481] server

[0482] The server generates a customized manual for a specific device based on analysis results and sentiment information. This manual details specific operating procedures, precautions, and identified hazards. Furthermore, it emphasizes important precautions and warnings according to the user's sentiment. For example, it might highlight "Always follow the power-off procedure" in bold and add reassuring wording.

[0483] operation

[0484] The server customizes the "Machine A123 Replacement Procedure Manual" and outputs it with the following points highlighted: "Always follow the power-off procedure" and "Correct use of tools."

[0485] Step 6:

[0486] Provision of customized manuals

[0487] server

[0488] The server converts the generated customized manual into PDF format and sends it to the user's terminal. Specifically, it prepares the "Replacement Procedure Manual for Machine A123" as a PDF for transmission.

[0489] terminal

[0490] The terminal displays a PDF manual sent from the server to the user and provides a download link. For example, a button labeled "Download Here" might appear on the user's screen.

[0491] operation

[0492] The user clicks "Download here" to download the PDF manual.

[0493] (Application Example 2)

[0494] 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".

[0495] In factories and industrial settings, equipment replacement and maintenance are tasks requiring advanced skills and meticulous attention, and there is a high risk of equipment accidents due to incorrect operation or past operational errors. Therefore, providing accurate manuals is essential, and the emotional state of the worker can also have an impact. Considering these factors, customized manuals tailored to each worker's situation and real-time support are required to improve work efficiency and safety. However, conventional systems have struggled to meet these requirements.

[0496] 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.

[0497] In this invention, the server includes means for receiving user input information, means for comparing specification and manual information in a database based on the user input information, means for analyzing information on past operational errors and equipment accidents in the database and extracting risk points, means for recognizing the user's emotions, means for further customizing the customized manual based on the user's emotional information, and means for providing the generated customized manual to the user. This makes it possible to provide accurate and safe work procedures tailored to the individual worker's situation and emotional state, thereby improving work efficiency and safety.

[0498] "User input information" refers to information about the equipment that the user wishes to replace or maintain, specifically including the equipment's model number, type, and the details of the work request.

[0499] A "database" is an information aggregation system that stores records including equipment specifications, manuals, and information on operational errors and equipment accidents.

[0500] "Verification" refers to the process of searching for and matching the corresponding device information in the database based on user input.

[0501] "Analysis" is the process of identifying risk points by analyzing information on past operational errors and equipment accidents in a database.

[0502] A "customized manual" is an operation guide optimized for a specific device or work procedure based on user input information and related analysis results.

[0503] "Emotion recognition means" refers to technology that analyzes and recognizes emotions from user input or voice.

[0504] A "smart device" refers to an interface terminal that includes wearable technology for displaying information in real time, such as smart glasses and smartphones.

[0505] This invention provides a system for performing equipment replacement and maintenance work in factories and industrial sites more safely and efficiently. Specifically, it generates and provides customized manuals by comparing and analyzing user input information and sentiment information with specifications and manuals in a database. This system consists of the following main elements.

[0506] 1. Receiving user input information

[0507] The user uses a terminal to input information about the equipment they want to replace or maintain. Specifically, this information is entered via voice or text into a smart device such as smart glasses. For example, "I want to replace the robot arm, model number TSUN-567." The system also recognizes the user's emotions regarding the task.

[0508] 2. Database Construction and Search

[0509] The server has a database that stores equipment specifications, manuals, and information on past operational errors and equipment accidents. The server receives equipment information sent by the user, searches the database for the relevant specifications and manuals, and identifies potential hazards. This can be done using, for example, an SQL database or a NoSQL database.

[0510] 3. Recognition of emotions

[0511] Emotion recognition uses an emotion engine. It analyzes the user's voice and text input to recognize emotions. For example, if the user is feeling anxious, the emotion "anxiety" will be recognized. This information is sent to a server and used to generate customized manuals. Software used includes, for example, "IBM Watson® Tone Analyzer API" and "Google® Cloud Speech-to-Text API".

[0512] 4. Generating a customized manual

[0513] The server generates a customized manual based on the matching and analysis results, as well as the emotion recognition results. This manual details operating procedures, precautions, and potential hazards. Important precautions are also highlighted according to the recognized emotion. For example, for users experiencing anxiety, sections requiring special attention are highlighted in bold or a different color.

[0514] 5. Provision of customized manuals

[0515] The generated customized manual is converted to PDF format and sent to the user's device. The user can then proceed with their work while viewing the manual displayed on their device in real time. This improves safety and efficiency in specific tasks.

[0516] Specific example

[0517] Let's consider a scenario where a factory worker, wearing smart glasses, performs a robotic arm replacement task. In this case, the user gives a voice command saying, "I want to replace robotic arm model number TSUN-567." The emotion engine recognizes the emotion "anxiety," and the server searches the database for the relevant manual information. Based on the retrieved information, a customized manual like the one below is generated and displayed on the user's smart glasses.

[0518] Example of a prompt

[0519] The user is wearing smart glasses. Currently, a robotic arm replacement is being performed. The user is feeling anxious about the task and has said via voice input, "I want to know the procedure for replacing the robotic arm." In this case, please respond as follows:

[0520] The procedure for replacing the TSUN-567 robotic arm is as follows:

[0521] 1. Turn off the main power switch.

[0522] 2. Attach the safety device.

[0523] 3. Disconnect the connecting cable.

[0524] 4. Remove the old arm.

[0525] Danger point: Always wear insulated gloves when disconnecting connecting cables.

[0526] (Caution) This task requires special attention. Please proceed with caution.

[0527] This prompt provides specific guidance to help the user safely perform a particular task. By utilizing a generative AI model, it can respond flexibly to the user's situation.

[0528] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0529] Step 1:

[0530] The user uses a terminal (smart device) to input information about the equipment they wish to replace or maintain.

[0531] Input: Device model number, model, work request details, and emotional state (voice or text)

[0532] Specific actions: The user voice-inputs "I want to replace the robot arm model number TSUN-567" into the terminal and adds "I am feeling uneasy."

[0533] Step 2:

[0534] The terminal sends the entered information to the server.

[0535] Input: User voice input and text input

[0536] Output: Device information and emotion information sent to the server

[0537] Specific operation: The application on the device converts the voice input into text and sends the generated data to the server.

[0538] Step 3:

[0539] The server searches the database to retrieve specifications and manuals that match the entered device information.

[0540] Input: Device model number and model information

[0541] Output: Data from the relevant specifications and manuals.

[0542] Specific operation: The server's search algorithm searches the database for device information and retrieves matching information.

[0543] Step 4:

[0544] The server analyzes records of past operational errors and equipment accidents to extract risk points associated with specific equipment.

[0545] Input: Data on operational errors and equipment accidents

[0546] Output: Extracted danger points

[0547] Specific operation: The server uses machine learning algorithms to identify risk points from existing data in the database.

[0548] Step 5:

[0549] The server uses an emotion engine to analyze the user's emotional information and adjusts the content of the customized manual based on this analysis.

[0550] Input: User sentiment information

[0551] Output: Customized manual content tailored to emotions

[0552] Specific operation: The emotion engine analyzes the input audio or text and provides the server with emotional information such as "anxiety."

[0553] Step 6:

[0554] The server generates a customized manual based on the matching and analysis results, as well as information from the emotion engine.

[0555] Input: Matching results, analysis results, sentiment information

[0556] Output: Completed customized manual

[0557] Specific operation: The server uses templates to generate customized manuals tailored to specific devices and emotions.

[0558] Step 7:

[0559] Convert the generated customized manual to PDF format and send it to the device.

[0560] Input: Customized manual

[0561] Output: PDF file

[0562] Specific operation: The server converts the generated manual into PDF format and sends the data to the terminal.

[0563] Step 8:

[0564] The terminal displays customized manuals to the user in real time, allowing them to work safely.

[0565] Input: Customized manual in PDF format

[0566] Output: Manual displayed on the terminal's screen

[0567] Specific action: The application on the device opens the PDF file and displays it in the user's field of view.

[0568] 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.

[0569] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0570] 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.

[0571] [Second Embodiment]

[0572] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0573] 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.

[0574] 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).

[0575] 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.

[0576] 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.

[0577] 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).

[0578] 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.

[0579] 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.

[0580] 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.

[0581] 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.

[0582] 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.

[0583] 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".

[0584] This invention relates to a system in which, upon receiving information from a user about equipment that needs replacement or maintenance, the system compares this information with specifications and manuals in a database, analyzes records of past operational errors and equipment accidents to extract potential hazards, generates a customized manual, and provides it to the user.

[0585] System Configuration

[0586] A system primarily consists of three elements: servers, terminals, and users.

[0587] ---

[0588] 1. Database Construction

[0589] server

[0590] A database has been established to store equipment specifications, manuals, and records of operational errors and equipment accidents.

[0591] The database contains detailed specifications, operating procedures, and associated hazards for each device.

[0592] ---

[0593] 2. Receiving user input information

[0594] terminal

[0595] It provides an interface for users to input information about the equipment they wish to replace or maintain. The form includes fields for the equipment model number, type, and details of the replacement or maintenance request.

[0596] User

[0597] The user enters the device model number and replacement request details into a form via the terminal. Once the input is complete, the data is sent to the server via the terminal.

[0598] ---

[0599] 3. Matching and Analysis

[0600] server

[0601] The system receives the entered device information and compares it with the device information in the database. It then identifies the relevant specifications and operation manuals.

[0602] At the same time, records of past operational errors and equipment accidents are also searched to identify relevant risk points.

[0603] ---

[0604] 4. Generating a customized manual

[0605] server

[0606] Based on the matching and analysis results, a customized manual related to a specific device is generated.

[0607] This manual provides detailed instructions on specific operating procedures, precautions, and identified hazards.

[0608] ---

[0609] 5. Provision of manuals

[0610] server

[0611] Convert the generated customized manual to PDF format and prepare it for transmission to the user's device.

[0612] terminal

[0613] The sent PDF manual will be displayed to the user and made available for download.

[0614] ---

[0615] Specific example

[0616] Scenario: Replacing the antenna equipment at a base station

[0617] ---

[0618] User input

[0619] The user enters information into the terminal to replace the "antenna device model number XZ-123".

[0620] Matching and Analysis

[0621] The server searches the database for specifications and manuals related to the XZ-123 antenna device and extracts them.

[0622] The server also searches records of past operational errors and equipment accidents related to the XZ-123, and analyzes data on accidents caused by "misuse of tools" and "failure to follow power-off procedures."

[0623] Manual generation

[0624] Based on this information, the server generates a customized manual that includes operating procedures and potential hazards. This manual includes instructions such as "Always follow the power-off procedure" and "Correct use of specific tools."

[0625] Provision and notification

[0626] The generated manual will be sent to the user's device in PDF format, and a notification will be issued.

[0627] ---

[0628] In this way, the system of the present invention supports the efficient and safe replacement and maintenance of equipment based on information entered by the user.

[0629] The following describes the processing flow.

[0630] ---

[0631] Step 1:

[0632] terminal

[0633] A form is displayed for the user to enter information about the equipment that needs to be replaced or maintained (model number, type, type, and request details).

[0634] ---

[0635] Step 2:

[0636] User

[0637] Enter the device information into the form and click the submit button to send the data to your terminal.

[0638] ---

[0639] Step 3:

[0640] terminal

[0641] It generates a request to send the device information entered by the user to the server, and then sends it to the server.

[0642] ---

[0643] Step 4:

[0644] server

[0645] The received user input information is compared with the device information in the database.

[0646] Search for and extract the specifications and operation manuals for the relevant equipment.

[0647] ---

[0648] Step 5:

[0649] server

[0650] At the same time, the database is searched for records of past operational errors and equipment accidents related to the aforementioned device.

[0651] ---

[0652] Step 6:

[0653] server

[0654] We analyze the records of operational errors and equipment accidents that we have searched for, and identify potential hazards.

[0655] Based on the analysis results, we will clarify the factors that make accidents and mistakes more likely to occur.

[0656] ---

[0657] Step 7:

[0658] server

[0659] A customized manual is generated based on the verified specifications, operation manuals, and analyzed risk points.

[0660] The generated manual will contain specific operating procedures and important precautions.

[0661] ---

[0662] Step 8:

[0663] server

[0664] Convert the generated customized manual into PDF format and prepare it for distribution to users.

[0665] ---

[0666] Step 9:

[0667] server

[0668] Send the completed PDF manual to the user's device.

[0669] ---

[0670] Step 10:

[0671] terminal

[0672] The received PDF manual is displayed to the user, and a download link is provided.

[0673] ---

[0674] Step 11:

[0675] User

[0676] Refer to the provided PDF manual and perform any necessary equipment replacement or maintenance work.

[0677] ---

[0678] The above provides a detailed step-by-step explanation of how the system works.

[0679] (Example 1)

[0680] 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."

[0681] In conventional equipment replacement and maintenance, it was difficult for users to quickly grasp the appropriate operating procedures and safety precautions. In particular, if information on past operational failures or equipment accidents was not taken into consideration, the risk of similar problems occurring again increased. This resulted in challenges such as decreased work efficiency and safety issues.

[0682] 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.

[0683] In this invention, the server includes means for receiving user input information, means for comparing technical specifications and operating instructions in a database based on the user input information, and means for analyzing information on past operational failures and equipment accidents in the database and extracting safety risk points. This makes it possible to provide users with customized operating instructions for efficient and safe replacement and maintenance of equipment.

[0684] "User input information" refers to information entered by the user into the system, including the device's identification number, model, type, and details of replacement work or maintenance requests.

[0685] "Technical specifications" are detailed descriptions of the performance and functions of a particular device, and provide information that indicates the design and usage of that device.

[0686] An "operating manual" is a document or manual that outlines the procedures and precautions for using, maintaining, and replacing equipment.

[0687] "Operational failure" refers to errors or mistakes that occur during the use of equipment, and includes recorded information about their causes and effects.

[0688] "Equipment accidents" refer to instances where devices or equipment malfunctioned and caused accidents, and the information recorded includes details, causes, and countermeasures for such incidents.

[0689] "Safety hazard points" refer to areas or procedures that require attention during work, identified based on records of past operational failures and equipment accidents.

[0690] A "customized operating manual" is a document containing individualized operating procedures and precautions, created based on user input information and database data, tailored to specific devices and situations.

[0691] An "electronic document format" refers to the format in which a document is stored and provided as a digital file, with PDF being a common example.

[0692] This invention relates to a system in which, upon receiving information from a user about equipment requiring replacement or maintenance, the system compares technical specifications and operating instructions in a database, analyzes records of past operational failures and equipment accidents to extract safety hazards, and generates and provides customized operating instructions to the user. The system mainly consists of three elements: a server, a terminal, and a user.

[0693] 1. Database Construction

[0694] server

[0695] The server builds a database containing the technical specifications of the equipment, operating instructions, and records of operational failures and equipment accidents. This database registers detailed specifications, operating procedures, and related hazards for each piece of equipment.

[0696] For example, a table called "Antennas" can store the model number, specifications, operating procedures, and past accident records for each antenna.

[0697] 2. Receiving user input information

[0698] terminal

[0699] The terminal provides an interface for users to input information about equipment that needs to be replaced or maintained. The form includes input fields such as "model number," "device type," and "replacement work details."

[0700] User

[0701] The user enters the necessary information, such as "XZ-123" or "antenna replacement," into the form displayed on the terminal, and then presses the submit button to send the data to the server.

[0702] 3. Matching and Analysis

[0703] server

[0704] The server receives device information sent by the user and searches the database for the corresponding technical specifications and operating instructions.

[0705] Furthermore, records of past operational failures and equipment accidents related to specific devices are searched, and relevant risk points are extracted.

[0706] For example, we would find the technical specifications and operating instructions for the antenna of the "XZ-123" and investigate accident records caused by "misuse of tools" or "failure to follow power-off procedures."

[0707] 4. Generating a customized manual

[0708] server

[0709] Based on the extracted information, the server generates customized operating instructions related to the specific device.

[0710] The document should include specific operating procedures, precautions, and identified safety hazards.

[0711] For example, the generated manual will include detailed instructions on "power-off procedures" and "correct usage of specific tools."

[0712] 5. Provision of manuals

[0713] server

[0714] Convert the generated, customized operating instructions into PDF format and prepare them for transmission to the user's device.

[0715] terminal

[0716] The terminal displays the sent PDF manual to the user and makes it available for download.

[0717] As a concrete example, the message "The manual has been generated. Please download it." will be displayed on the device screen.

[0718] Specific example

[0719] Scenario: Replacing the antenna equipment at a base station.

[0720] 1. User input

[0721] The user enters information into the terminal to replace the "antenna device model number XZ-123".

[0722] 2. Matching and Analysis

[0723] The server searches its database for and extracts technical specifications and operating instructions related to the antenna device with the model number "XZ-123".

[0724] The server also searches for records of past operational failures and equipment accidents related to "XZ-123," and analyzes data on accidents caused by "misuse of tools" and "failure to follow power-off procedures."

[0725] 3. Manual generation

[0726] Based on this information, the server generates customized operating instructions that include procedures and potential hazards. These instructions include "Always follow the power-off procedure" and "Correct use of specific tools."

[0727] 4. Provision and Notification

[0728] The generated manual will be sent to the user's device in PDF format, and a notification will be issued.

[0729] In this way, the system of the present invention supports the efficient and safe replacement and maintenance of equipment based on information entered by the user.

[0730] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0731] Step 1:

[0732] The server builds a database containing the technical specifications of the equipment, operating instructions, and records of operational failures and equipment accidents. The database registers detailed specifications, operating procedures, and associated risk factors for each piece of equipment. Inputs include equipment model numbers, performance information, and past accident records. The server stores this information in the database and formats it for use in matching and analysis.

[0733] Step 2:

[0734] The terminal provides an interface for users to input information about equipment that needs to be replaced or maintained. The form includes input fields such as "model number," "device type," and "replacement work details," which the user fills in. The entered information is temporarily held on the terminal and sent to the server when the submit button is clicked. The user's input information is sent to the server as output.

[0735] Step 3:

[0736] The server receives device information sent by the user and searches and extracts the corresponding technical specifications and operating instructions from the database. The user's device information is used as input, and the server matches it against the database. The output is the corresponding technical specifications and operating instructions.

[0737] Step 4:

[0738] The server searches a database for records of past operational failures and equipment accidents related to a specific piece of equipment and extracts potential hazards. The inputs used are the equipment's identification number and related historical records. The server analyzes these records and extracts them as hazards. The output is the identified hazards.

[0739] Step 5:

[0740] The server generates customized operating instructions relevant to a specific device based on the extracted technical specifications, operating instructions, and hazard points. The input is the information extracted in the previous step. The server integrates this information to create customized operating instructions that detail the operating procedures, precautions, and extracted hazard points. The output is the generated operating instructions.

[0741] Step 6:

[0742] The server converts the generated customized operating instructions into PDF format and prepares to send them to the user's terminal. The input is the content of the operating instructions, and the output is a PDF file.

[0743] Step 7:

[0744] The terminal displays the transmitted PDF manual to the user and makes it available for download. The input is the PDF file received from the server, and the output is the displayed PDF and a download button. For example, the terminal screen displays the message, "The manual has been generated. Please download it."

[0745] (Application Example 1)

[0746] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0747] Conventional maintenance and replacement work requires users to refer to operation manuals and specifications, which has been criticized for reducing work efficiency and increasing the possibility of operational errors. Furthermore, a lack of specific instructions regarding dangerous operating points has led to a high risk of accidents. This invention solves these problems and provides a system that delivers customized manuals in real time using smart devices, thereby improving work efficiency and safety.

[0748] 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.

[0749] In this invention, the server includes means for receiving user input information, means for comparing it with specification and manual information in a database, means for analyzing information on past operational errors and equipment accidents and extracting risk points, means including a display device for visually displaying the generated customized manual in real time, and means for enabling the user to operate without using their hands using the display device. As a result, the user can visually check the necessary information in real time while working and can operate while keeping their hands free. This improves work efficiency and reduces the risk of operational errors and accidents.

[0750] "User input information" refers to information that includes the user's device model number, type, and details of replacement work or maintenance requests.

[0751] A "database" is a collection of information that stores data such as equipment specifications, operation manuals, records of operational errors and equipment accidents, and allows for retrieval and analysis when necessary.

[0752] A "specification sheet" is a document that contains technical information about a device, such as its detailed specifications and operating instructions.

[0753] "Manual information" refers to a guide that details the operating procedures and precautions for the device.

[0754] "Operation error" refers to incorrect procedures or inappropriate operations that occur when operating equipment.

[0755] "Equipment accidents" refer to accidents caused by misuse or malfunction of equipment.

[0756] A "danger point" is an area that requires attention to safety, identified from records of past operational errors and equipment accidents.

[0757] A "customized manual" is a manual that contains individual operating procedures and precautions generated for specific equipment or situations.

[0758] A "display device" is a device that provides users with a generated, customized manual visually in real time.

[0759] "Real-time" refers to a state in which information is processed immediately and provided to the user without delay.

[0760] This invention relates to a system that provides customized maintenance and replacement manuals in real time based on device information entered by the user. This system consists of three elements: a server, a terminal, and a user.

[0761] System Configuration

[0762] A system primarily consists of three elements: servers, terminals, and users.

[0763] 1. Database Construction

[0764] server

[0765] A database has been established to store equipment specifications, manuals, and records of operational errors and equipment accidents.

[0766] The database contains detailed specifications, operating procedures, and associated hazards for each device.

[0767] 2. Receiving user input information

[0768] terminal

[0769] It provides an interface for users to input information about the equipment they wish to replace or maintain. The form includes fields for the equipment model number, type, and details of the replacement or maintenance request.

[0770] User

[0771] The user enters the device model number and replacement request details into a form via the terminal. Once the input is complete, the data is sent to the server via the terminal.

[0772] 3. Matching and Analysis

[0773] server

[0774] The system receives the entered device information and compares it with the device information in the database. It then identifies the relevant specifications and operation manuals.

[0775] At the same time, records of past operational errors and equipment accidents are also searched to identify relevant risk points.

[0776] 4. Generating a customized manual

[0777] server

[0778] Based on the matching and analysis results, a customized manual related to a specific device is generated.

[0779] This manual provides detailed instructions on specific operating procedures, precautions, and identified hazards.

[0780] 5. Provision of manuals

[0781] server

[0782] Convert the generated customized manual to PDF format and prepare it for transmission to the user's device.

[0783] At the same time, the customized manual is transmitted to a display device for real-time visual display.

[0784] terminal

[0785] The sent PDF manual will be displayed to the user and made available for download.

[0786] A customized manual, provided visually in real time, allows users to operate the system without using their hands.

[0787] Specific example

[0788] Scenario: Replacing the antenna equipment at a base station

[0789] User input

[0790] The user enters information into the terminal to replace the antenna device with model number XZ-123.

[0791] Matching and Analysis

[0792] The server searches its database for and extracts specifications and manuals related to the XZ-123 antenna device.

[0793] The server also searches for records of past operational errors and equipment accidents related to the XZ-123, and analyzes data on accidents caused by "misuse of tools" and "failure to follow power-off procedures."

[0794] Manual generation

[0795] Based on this information, the server generates a customized manual that includes operating procedures and potential hazards. This manual includes instructions such as "Always follow the power-off procedure" and "Correct use of specific tools."

[0796] Provision and notification

[0797] The generated manual is sent to the user's device in PDF format, and simultaneously to a display device for real-time visual presentation.

[0798] Example of a prompt

[0799] "To generate a customized guide for your device repair process, please provide the following information:"

[0800] "Device type:"

[0801] "Device model number:"

[0802] "Details of maintenance or replacement work:"

[0803] "Records of past operational errors or accidents:"

[0804] "Specific points of caution or potential hazards:"

[0805] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0806] Step 1:

[0807] Receiving user input information

[0808] The user enters information about the device to be replaced or maintained (model number, type, type, and request details) via a terminal. The terminal receives this information and sends it to the server.

[0809] Input: Device model number, model, type, request details

[0810] Output: Sending device information to the server

[0811] Step 2:

[0812] Database matching

[0813] The server uses the received device information to compare it with the specifications and manuals in the database. Specifically, it searches for documents corresponding to the device's model number and type.

[0814] Input: Received device information

[0815] Output: Applicable specifications and manual information

[0816] Step 3:

[0817] Analysis of operational errors and accident records

[0818] The server searches the database for information on past operational errors and equipment accidents, and identifies and analyzes risk points related to the received equipment information.

[0819] Input: Received device information and verification result

[0820] Output: Identified danger points

[0821] Step 4:

[0822] Generating a customized manual

[0823] The server generates a customized manual for a specific device based on the matching and analysis results. This manual includes specific operating procedures, precautions, and identified hazards.

[0824] Input: Matching results and analysis results

[0825] Output: Customized manual

[0826] Step 5:

[0827] Conversion and provision of customized manuals

[0828] The server converts the generated customized manual into PDF format and sends it to the user's terminal. It also sends it to a display device for real-time visual display.

[0829] Input: Generated customized manual

[0830] Output: Customized manual in PDF format, data for real-time display.

[0831] Step 6:

[0832] Visual display of the manual

[0833] The device displays a customized manual in PDF format to the user, making it downloadable. Simultaneously, the customized manual is displayed visually in real time, allowing the user to operate the device without using their hands.

[0834] Input: Customized manual in PDF format, data for real-time display.

[0835] Output: Displayed customized manual, user assistance

[0836] 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.

[0837] This invention relates to a system in which, upon receiving information from a user about equipment requiring replacement or maintenance, the system compares this information with specifications and manuals in a database, analyzes records of past operational errors and equipment accidents to extract risk points, and generates and provides a customized manual to the user. Furthermore, by incorporating an emotion engine that recognizes the user's emotions, the system provides a customized manual tailored to the user's feelings.

[0838] System Configuration

[0839] A system primarily consists of three elements: servers, terminals, and users.

[0840] ---

[0841] 1. Database Construction

[0842] server

[0843] A database has been established to store equipment specifications, manuals, and records of operational errors and equipment accidents.

[0844] The database contains detailed specifications, operating procedures, and associated hazards for each device.

[0845] ---

[0846] 2. Receiving user input information

[0847] terminal

[0848] It provides an interface for users to input information about the equipment they wish to replace or maintain. The form includes fields for the equipment model number, type, and details of the replacement or maintenance request.

[0849] User

[0850] The user enters the device model number and replacement request details into a form via the terminal. Once the input is complete, the data is sent to the server via the terminal.

[0851] ---

[0852] 3. Matching and Analysis

[0853] server

[0854] The system receives the entered device information and compares it with the device information in the database. It then identifies the relevant specifications and operation manuals.

[0855] Simultaneously, records of past operational errors and equipment accidents related to the aforementioned device are searched to identify relevant risk points.

[0856] ---

[0857] 4. Emotion recognition by an emotion engine

[0858] terminal

[0859] When users input device information, the system also provides a function to recognize the user's emotions from text or voice input.

[0860] Emotional Engine

[0861] It analyzes the user's text and voice input to recognize their emotions.

[0862] The recognized emotion information is sent to the server.

[0863] ---

[0864] 5. Generating a customized manual

[0865] server

[0866] Based on the matching and analysis results, as well as the emotional information received from the emotion engine, a customized manual related to a specific device is generated.

[0867] This manual provides detailed instructions on specific operating procedures, precautions, and identified hazards.

[0868] Customize the content to highlight important notes and warnings based on the user's emotions.

[0869] ---

[0870] 6. Provision of manuals

[0871] server

[0872] Convert the generated customized manual to PDF format and prepare it for transmission to the user's device.

[0873] terminal

[0874] The sent PDF manual will be displayed to the user and made available for download.

[0875] ---

[0876] Specific example

[0877] Scenario: Replacing the antenna equipment at a base station

[0878] ---

[0879] User input

[0880] The user enters information into the terminal to replace the antenna device, model number XZ-123. If the user feels anxious about the replacement process, they can also enter their feelings as text or voice.

[0881] emotion recognition

[0882] The emotion engine recognizes the emotion "anxiety" from the user's input. The emotion information is sent to the server.

[0883] Matching and Analysis

[0884] The server searches the database for specifications and manuals related to the XZ-123 antenna device and extracts them.

[0885] The server also searches records of past operational errors and equipment accidents related to the XZ-123, and analyzes data on accidents caused by "misuse of tools" and "failure to follow power-off procedures."

[0886] Manual generation

[0887] Based on this information, the server generates a customized manual that includes operating procedures and potential hazards. This manual includes instructions such as "Always follow the power-off procedure" and "Correct use of specific tools."

[0888] Based on the user's emotional information, such as "anxiety," important notes are highlighted using bold text or a different color.

[0889] Provision and notification

[0890] The generated manual will be sent to the user's device in PDF format, and a notification will be issued.

[0891] ---

[0892] Thus, the system of the present invention supports the efficient and safe replacement and maintenance of equipment based on information and emotions input by the user.

[0893] The following describes the processing flow.

[0894] ---

[0895] Step 1:

[0896] terminal

[0897] A form is displayed for the user to enter information about the equipment that needs to be replaced or maintained (model number, type, type, and request details).

[0898] ---

[0899] Step 2:

[0900] User

[0901] Enter the device information into the form and click the submit button to send the data to the terminal. You can also enter your current emotions (e.g., anxiety, relief, confusion, etc.) via text or voice input.

[0902] ---

[0903] Step 3:

[0904] terminal

[0905] It generates a request to send the device information and emotion information entered by the user to the server, and then sends it to the server.

[0906] ---

[0907] Step 4:

[0908] server

[0909] The system verifies the device information in the database based on the received user input. It then searches for and extracts the specifications and operation manuals for the corresponding devices.

[0910] ---

[0911] Step 5:

[0912] server

[0913] Simultaneously, the database is searched for records of past operational errors and equipment accidents related to the device, and relevant risk points are identified.

[0914] ---

[0915] Step 6:

[0916] Emotional Engine

[0917] The system analyzes emotional information received from the user to recognize the user's emotions (anxiety, relief, confusion, etc.).

[0918] The recognized emotion information is sent to the server.

[0919] ---

[0920] Step 7:

[0921] server

[0922] Based on emotional information from the emotion engine, a customized manual is generated according to the matching and analysis results. This manual details specific operating procedures, precautions, and identified risk points.

[0923] Depending on the user's emotions, important notes and warnings should be highlighted as needed (e.g., bolding notes if the user is feeling anxious).

[0924] ---

[0925] Step 8:

[0926] server

[0927] Convert the generated customized manual to PDF format and prepare it for transmission to the user's device.

[0928] ---

[0929] Step 9:

[0930] server

[0931] Send the completed PDF manual to the user's device.

[0932] ---

[0933] Step 10:

[0934] terminal

[0935] The received PDF manual is displayed to the user, and a download link is provided.

[0936] ---

[0937] Step 11:

[0938] User

[0939] Refer to the provided PDF manual and perform any necessary equipment replacement or maintenance work.

[0940] ---

[0941] The above outlines the specific processing steps of the system that combines the emotion engine.

[0942] (Example 2)

[0943] 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".

[0944] There is a problem in that users cannot perform tasks safely and efficiently when replacing or maintaining equipment using only the information in existing manuals. Furthermore, manuals that do not consider the user's emotional state cannot alleviate user anxiety.

[0945] 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.

[0946] In this invention, the server includes means for receiving user input information, means for comparing it with specification and manual information in a database, means for analyzing information on past operational errors and equipment accidents and extracting risk points, means for recognizing emotions from user input information, means for generating a customized manual based on the matching and analysis results and emotion information, and means for converting the generated customized manual into PDF format and providing it to the user. This makes it possible to provide a customized manual that takes into account the user's input information and emotions, thereby supporting safe and efficient work.

[0947] "User input information" refers to information provided by the user to the system, including the model number, type, and specifications of the device, as well as requests for replacement work or maintenance.

[0948] A "database" is a collection of digital information used to store equipment specifications, manuals, and records of past operational errors and equipment accidents.

[0949] A "specification sheet" is a document that describes the detailed specifications, functions, and usage instructions of a particular device.

[0950] A "manual" is a document that includes guidelines explaining the operation procedures and maintenance methods of a device.

[0951] "Operation error" refers to a record of human error or improper operation that occurred during the operation of equipment.

[0952] "Equipment accidents" are records of equipment malfunctions or problems that occur.

[0953] A "danger point" is an area that requires special attention during the operation or maintenance of equipment, based on analysis of past data.

[0954] An "emotion engine" is a system that analyzes and recognizes emotions from text or voice input by the user.

[0955] A "customized manual" is a manual created by customizing the operating procedures and precautions for a specific device based on user input and emotional information.

[0956] "PDF format" is an electronic document format that converts generated documents into a form that users can easily view and download.

[0957] This invention is a system in which, upon receiving information from a user about equipment requiring replacement or maintenance, the system compares this information with specifications and manuals in a database, analyzes records of past operational errors and equipment accidents to extract risk points, and generates and provides a customized manual to the user. Furthermore, by incorporating an emotion engine that recognizes the user's emotions, the system provides a customized manual tailored to the user's feelings.

[0958] System Configuration

[0959] A system primarily consists of three elements: servers, terminals, and users.

[0960] Database Construction

[0961] server

[0962] The server will build a database to store equipment specifications, manuals, and records of past operational errors and equipment accidents.

[0963] The database contains detailed specifications, operating procedures, and associated hazards for each device.

[0964] Receiving user input information

[0965] terminal

[0966] It provides an interface for users to input information about the equipment they wish to replace or maintain. The interface includes fields for entering the equipment model number, type, and details of the replacement or maintenance request.

[0967] User

[0968] Users use their devices to enter the necessary information into fields and send the data to the server by clicking / tapping the submit button.

[0969] Matching and analysis

[0970] server

[0971] The server receives device information sent by the user and compares it with the information in the database. It identifies the relevant specifications and operation manuals, searches for records of past operational errors and equipment accidents, and identifies related risk points.

[0972] Emotion recognition by an emotion engine

[0973] terminal

[0974] The terminal provides a function that recognizes the user's emotions from text or voice input when the user enters device information.

[0975] Emotional Engine

[0976] The emotion engine analyzes emotions from text and voice input by the user and sends the emotion data to the server.

[0977] Generating a customized manual

[0978] server

[0979] The server generates a customized manual related to a specific device based on the matching and analysis results, as well as emotional information.

[0980] The manual will detail specific operating procedures, precautions, and identified hazards. It will also include emphasis on important precautions and warnings, tailored to the user's perspective.

[0981] Provision of customized manuals

[0982] server

[0983] The server converts the generated customized manual into PDF format and sends it to the user's device.

[0984] terminal

[0985] The terminal displays the transmitted PDF manual to the user and provides a download link.

[0986] Specific example

[0987] Scenario: Replacing the antenna equipment at a base station

[0988] User input

[0989] The user enters "information for replacing antenna device model number XZ-123" into the terminal and inputs any concerns about the replacement process as text or voice.

[0990] emotion recognition

[0991] The emotion engine recognizes the emotion "anxiety," and the emotional information is sent to the server.

[0992] Matching and Analysis

[0993] The server searches the database for specifications and manuals related to the XZ-123 antenna device. Simultaneously, it searches for records of related past operational errors and equipment accidents, identifying accident data caused by "misuse of tools" and "failure to follow power-off procedures."

[0994] Manual generation

[0995] Based on this information, the server generates a customized manual that includes specific operating procedures and precautions. Important precautions are highlighted in bold or color based on the user's concerns.

[0996] Provision and notification

[0997] The server sends the generated manual in PDF format to the user's device and sends a notification. The device displays a button that says "Download here."

[0998] Examples of prompts to input into a generative AI model

[0999] "I'm unsure about the procedure for replacing the antenna unit, model number XZ-123. Please provide a customized manual that includes specific operating procedures and precautions."

[1000] This invention allows users to receive a customized manual based on the information and emotions they input, enabling them to efficiently and safely replace or maintain equipment.

[1001] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1002] Step 1:

[1003] Database Construction

[1004] server

[1005] The server first builds a database to store equipment specifications, manuals, and records of past operational errors and equipment accidents. This database registers detailed specifications, operating procedures, and associated risk factors for each piece of equipment. For example, the server uploads the specification sheet, operation manual, and past accident reports for a "Type XYZ device" as input data and stores them in the database.

[1006] Step 2:

[1007] Receiving user input information

[1008] terminal

[1009] The terminal provides an interface for users to input information about the equipment they wish to replace or maintain. For example, it can be configured to allow users to enter the equipment's model number, type, and details of the replacement or maintenance request in a form. The input data might be something like "Replace parts for machine A123".

[1010] User

[1011] The user uses their device to enter the necessary information into the fields and sends the data to the server by clicking / tapping the submit button. Specifically, they would enter "Replace parts for machine A123" and submit it.

[1012] Step 3:

[1013] Input data verification and analysis

[1014] server

[1015] The server receives device information sent by the user and compares it with the information in the database. If the input data relates to "Machine A123," it identifies and extracts the relevant specifications and operation manuals from the database. It also searches for records of past operational errors and equipment accidents to identify related risk points.

[1016] operation

[1017] The server extracts the spec sheet and manual for "Machine A123," as well as past accident data related to "misuse of tools" and "failure to follow power-off procedures," as analysis data.

[1018] Step 4:

[1019] Emotion recognition by an emotion engine

[1020] terminal

[1021] The terminal provides a function that recognizes the user's emotions from text or voice input when the user enters device information. For example, the user might input, "I feel anxious about this task."

[1022] Emotional Engine

[1023] The emotion engine analyzes emotions from text and voice input by the user and sends the recognized emotion data to the server. Specifically, it identifies the emotion of "anxiety."

[1024] operation

[1025] The emotion engine outputs "anxiety" as an analysis result and sends it to the server.

[1026] Step 5:

[1027] Generating a customized manual

[1028] server

[1029] The server generates a customized manual for a specific device based on analysis results and sentiment information. This manual details specific operating procedures, precautions, and identified hazards. Furthermore, it emphasizes important precautions and warnings according to the user's sentiment. For example, it might highlight "Always follow the power-off procedure" in bold and add reassuring wording.

[1030] operation

[1031] The server customizes the "Machine A123 Replacement Procedure Manual" and outputs it with the following points highlighted: "Always follow the power-off procedure" and "Correct use of tools."

[1032] Step 6:

[1033] Provision of customized manuals

[1034] server

[1035] The server converts the generated customized manual into PDF format and sends it to the user's terminal. Specifically, it prepares the "Replacement Procedure Manual for Machine A123" as a PDF for transmission.

[1036] terminal

[1037] The terminal displays a PDF manual sent from the server to the user and provides a download link. For example, a button labeled "Download Here" might appear on the user's screen.

[1038] operation

[1039] The user clicks "Download here" to download the PDF manual.

[1040] (Application Example 2)

[1041] 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."

[1042] In factories and industrial settings, equipment replacement and maintenance are tasks requiring advanced skills and meticulous attention, and there is a high risk of equipment accidents due to incorrect operation or past operational errors. Therefore, providing accurate manuals is essential, and the emotional state of the worker can also have an impact. Considering these factors, customized manuals tailored to each worker's situation and real-time support are required to improve work efficiency and safety. However, conventional systems have struggled to meet these requirements.

[1043] 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.

[1044] In this invention, the server includes means for receiving user input information, means for comparing specification and manual information in a database based on the user input information, means for analyzing information on past operational errors and equipment accidents in the database and extracting risk points, means for recognizing the user's emotions, means for further customizing the customized manual based on the user's emotional information, and means for providing the generated customized manual to the user. This makes it possible to provide accurate and safe work procedures tailored to the individual worker's situation and emotional state, thereby improving work efficiency and safety.

[1045] "User input information" refers to information about the equipment that the user wishes to replace or maintain, specifically including the equipment's model number, type, and the details of the work request.

[1046] A "database" is an information aggregation system that stores records including equipment specifications, manuals, and information on operational errors and equipment accidents.

[1047] "Verification" refers to the process of searching for and matching the corresponding device information in the database based on user input.

[1048] "Analysis" is the process of identifying risk points by analyzing information on past operational errors and equipment accidents in a database.

[1049] A "customized manual" is an operation guide optimized for a specific device or work procedure based on user input information and related analysis results.

[1050] "Emotion recognition means" refers to technology that analyzes and recognizes emotions from user input or voice.

[1051] A "smart device" refers to an interface terminal that includes wearable technology for displaying information in real time, such as smart glasses and smartphones.

[1052] This invention provides a system for performing equipment replacement and maintenance work in factories and industrial sites more safely and efficiently. Specifically, it generates and provides customized manuals by comparing and analyzing user input information and sentiment information with specifications and manuals in a database. This system consists of the following main elements.

[1053] 1. Receiving user input information

[1054] The user uses a terminal to input information about the equipment they want to replace or maintain. Specifically, this information is entered via voice or text into a smart device such as smart glasses. For example, "I want to replace the robot arm, model number TSUN-567." The system also recognizes the user's emotions regarding the task.

[1055] 2. Database Construction and Search

[1056] The server has a database that stores equipment specifications, manuals, and information on past operational errors and equipment accidents. The server receives equipment information sent by the user, searches the database for the relevant specifications and manuals, and identifies potential hazards. This can be done using, for example, an SQL database or a NoSQL database.

[1057] 3. Recognition of emotions

[1058] Emotion recognition uses an emotion engine. It analyzes the user's voice and text input to recognize emotions. For example, if the user is feeling anxious, the emotion "anxiety" will be recognized. This information is sent to a server and used to generate customized manuals. Software used includes, for example, "IBM Watson Tone Analyzer API" and "Google Cloud Speech-to-Text API".

[1059] 4. Generating a customized manual

[1060] The server generates a customized manual based on the matching and analysis results, as well as the emotion recognition results. This manual details operating procedures, precautions, and potential hazards. Important precautions are also highlighted according to the recognized emotion. For example, for users experiencing anxiety, sections requiring special attention are highlighted in bold or a different color.

[1061] 5. Provision of customized manuals

[1062] The generated customized manual is converted to PDF format and sent to the user's device. The user can then proceed with their work while viewing the manual displayed on their device in real time. This improves safety and efficiency in specific tasks.

[1063] Specific example

[1064] Let's consider a scenario where a factory worker, wearing smart glasses, performs a robotic arm replacement task. In this case, the user gives a voice command saying, "I want to replace robotic arm model number TSUN-567." The emotion engine recognizes the emotion "anxiety," and the server searches the database for the relevant manual information. Based on the retrieved information, a customized manual like the one below is generated and displayed on the user's smart glasses.

[1065] Example of a prompt

[1066] The user is wearing smart glasses. Currently, a robotic arm replacement is being performed. The user is feeling anxious about the task and has said via voice input, "I want to know the procedure for replacing the robotic arm." In this case, please respond as follows:

[1067] The procedure for replacing the TSUN-567 robotic arm is as follows:

[1068] 1. Turn off the main power switch.

[1069] 2. Attach the safety device.

[1070] 3. Disconnect the connecting cable.

[1071] 4. Remove the old arm.

[1072] Danger point: Always wear insulated gloves when disconnecting connecting cables.

[1073] (Caution) This task requires special attention. Please proceed with caution.

[1074] This prompt provides specific guidance to help the user safely perform a particular task. By utilizing a generative AI model, it can respond flexibly to the user's situation.

[1075] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1076] Step 1:

[1077] The user uses a terminal (smart device) to input information about the equipment they wish to replace or maintain.

[1078] Input: Device model number, model, work request details, and emotional state (voice or text)

[1079] Specific actions: The user voice-inputs "I want to replace the robot arm model number TSUN-567" into the terminal and adds "I am feeling uneasy."

[1080] Step 2:

[1081] The terminal sends the entered information to the server.

[1082] Input: User voice input and text input

[1083] Output: Device information and emotion information sent to the server

[1084] Specific operation: The application on the device converts the voice input into text and sends the generated data to the server.

[1085] Step 3:

[1086] The server searches the database to retrieve specifications and manuals that match the entered device information.

[1087] Input: Device model number and model information

[1088] Output: Data from the relevant specifications and manuals.

[1089] Specific operation: The server's search algorithm searches the database for device information and retrieves matching information.

[1090] Step 4:

[1091] The server analyzes records of past operational errors and equipment accidents to extract risk points associated with specific equipment.

[1092] Input: Data on operational errors and equipment accidents

[1093] Output: Extracted danger points

[1094] Specific operation: The server uses machine learning algorithms to identify risk points from existing data in the database.

[1095] Step 5:

[1096] The server uses an emotion engine to analyze the user's emotional information and adjusts the content of the customized manual based on this analysis.

[1097] Input: User sentiment information

[1098] Output: Customized manual content tailored to emotions

[1099] Specific operation: The emotion engine analyzes the input audio or text and provides the server with emotional information such as "anxiety."

[1100] Step 6:

[1101] The server generates a customized manual based on the matching and analysis results, as well as information from the emotion engine.

[1102] Input: Matching results, analysis results, sentiment information

[1103] Output: Completed customized manual

[1104] Specific operation: The server uses templates to generate customized manuals tailored to specific devices and emotions.

[1105] Step 7:

[1106] Convert the generated customized manual to PDF format and send it to the device.

[1107] Input: Customized manual

[1108] Output: PDF file

[1109] Specific operation: The server converts the generated manual into PDF format and sends the data to the terminal.

[1110] Step 8:

[1111] The terminal displays customized manuals to the user in real time, allowing them to work safely.

[1112] Input: Customized manual in PDF format

[1113] Output: Manual displayed on the terminal's screen

[1114] Specific action: The application on the device opens the PDF file and displays it in the user's field of view.

[1115] 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.

[1116] 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.

[1117] 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.

[1118] [Third Embodiment]

[1119] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[1120] 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.

[1121] 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).

[1122] 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.

[1123] 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.

[1124] 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).

[1125] 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.

[1126] 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.

[1127] 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.

[1128] 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.

[1129] 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.

[1130] 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".

[1131] This invention relates to a system in which, upon receiving information from a user about equipment that needs replacement or maintenance, the system compares this information with specifications and manuals in a database, analyzes records of past operational errors and equipment accidents to extract potential hazards, generates a customized manual, and provides it to the user.

[1132] System Configuration

[1133] A system primarily consists of three elements: servers, terminals, and users.

[1134] ---

[1135] 1. Database Construction

[1136] server

[1137] A database has been established to store equipment specifications, manuals, and records of operational errors and equipment accidents.

[1138] The database contains detailed specifications, operating procedures, and associated hazards for each device.

[1139] ---

[1140] 2. Receiving user input information

[1141] terminal

[1142] It provides an interface for users to input information about the equipment they wish to replace or maintain. The form includes fields for the equipment model number, type, and details of the replacement or maintenance request.

[1143] User

[1144] The user enters the device model number and replacement request details into a form via the terminal. Once the input is complete, the data is sent to the server via the terminal.

[1145] ---

[1146] 3. Matching and Analysis

[1147] server

[1148] The system receives the entered device information and compares it with the device information in the database. It then identifies the relevant specifications and operation manuals.

[1149] At the same time, records of past operational errors and equipment accidents are also searched to identify relevant risk points.

[1150] ---

[1151] 4. Generating a customized manual

[1152] server

[1153] Based on the matching and analysis results, a customized manual related to a specific device is generated.

[1154] This manual provides detailed instructions on specific operating procedures, precautions, and identified hazards.

[1155] ---

[1156] 5. Provision of manuals

[1157] server

[1158] Convert the generated customized manual to PDF format and prepare it for transmission to the user's device.

[1159] terminal

[1160] The sent PDF manual will be displayed to the user and made available for download.

[1161] ---

[1162] Specific example

[1163] Scenario: Replacing the antenna equipment at a base station

[1164] ---

[1165] User input

[1166] The user enters information into the terminal to replace the "antenna device model number XZ-123".

[1167] Matching and Analysis

[1168] The server searches the database for specifications and manuals related to the XZ-123 antenna device and extracts them.

[1169] The server also searches records of past operational errors and equipment accidents related to the XZ-123, and analyzes data on accidents caused by "misuse of tools" and "failure to follow power-off procedures."

[1170] Manual generation

[1171] Based on this information, the server generates a customized manual that includes operating procedures and potential hazards. This manual includes instructions such as "Always follow the power-off procedure" and "Correct use of specific tools."

[1172] Provision and notification

[1173] The generated manual will be sent to the user's device in PDF format, and a notification will be issued.

[1174] ---

[1175] In this way, the system of the present invention supports the efficient and safe replacement and maintenance of equipment based on information entered by the user.

[1176] The following describes the processing flow.

[1177] ---

[1178] Step 1:

[1179] terminal

[1180] A form is displayed for the user to enter information about the equipment that needs to be replaced or maintained (model number, type, type, and request details).

[1181] ---

[1182] Step 2:

[1183] User

[1184] Enter the device information into the form and click the submit button to send the data to your terminal.

[1185] ---

[1186] Step 3:

[1187] terminal

[1188] It generates a request to send the device information entered by the user to the server, and then sends it to the server.

[1189] ---

[1190] Step 4:

[1191] server

[1192] The received user input information is compared with the device information in the database.

[1193] Search for and extract the specifications and operation manuals for the relevant equipment.

[1194] ---

[1195] Step 5:

[1196] server

[1197] At the same time, the database is searched for records of past operational errors and equipment accidents related to the aforementioned device.

[1198] ---

[1199] Step 6:

[1200] server

[1201] We analyze the records of operational errors and equipment accidents that we have searched for, and identify potential hazards.

[1202] Based on the analysis results, we will clarify the factors that make accidents and mistakes more likely to occur.

[1203] ---

[1204] Step 7:

[1205] server

[1206] A customized manual is generated based on the verified specifications, operation manuals, and analyzed risk points.

[1207] The generated manual will contain specific operating procedures and important precautions.

[1208] ---

[1209] Step 8:

[1210] server

[1211] Convert the generated customized manual into PDF format and prepare it for distribution to users.

[1212] ---

[1213] Step 9:

[1214] server

[1215] Send the completed PDF manual to the user's device.

[1216] ---

[1217] Step 10:

[1218] terminal

[1219] The received PDF manual is displayed to the user, and a download link is provided.

[1220] ---

[1221] Step 11:

[1222] User

[1223] Refer to the provided PDF manual and perform any necessary equipment replacement or maintenance work.

[1224] ---

[1225] The above provides a detailed step-by-step explanation of how the system works.

[1226] (Example 1)

[1227] 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."

[1228] In conventional equipment replacement and maintenance, it was difficult for users to quickly grasp the appropriate operating procedures and safety precautions. In particular, if information on past operational failures or equipment accidents was not taken into consideration, the risk of similar problems occurring again increased. This resulted in challenges such as decreased work efficiency and safety issues.

[1229] 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.

[1230] In this invention, the server includes means for receiving user input information, means for comparing technical specifications and operating instructions in a database based on the user input information, and means for analyzing information on past operational failures and equipment accidents in the database and extracting safety risk points. This makes it possible to provide users with customized operating instructions for efficient and safe replacement and maintenance of equipment.

[1231] "User input information" refers to information entered by the user into the system, including the device's identification number, model, type, and details of replacement work or maintenance requests.

[1232] "Technical specifications" are detailed descriptions of the performance and functions of a particular device, and provide information that indicates the design and usage of that device.

[1233] An "operating manual" is a document or manual that outlines the procedures and precautions for using, maintaining, and replacing equipment.

[1234] "Operational failure" refers to errors or mistakes that occur during the use of equipment, and includes recorded information about their causes and effects.

[1235] "Equipment accidents" refer to instances where devices or equipment malfunctioned and caused accidents, and the information recorded includes details, causes, and countermeasures for such incidents.

[1236] "Safety hazard points" refer to areas or procedures that require attention during work, identified based on records of past operational failures and equipment accidents.

[1237] A "customized operating manual" is a document containing individualized operating procedures and precautions, created based on user input information and database data, tailored to specific devices and situations.

[1238] An "electronic document format" refers to the format in which a document is stored and provided as a digital file, with PDF being a common example.

[1239] This invention relates to a system in which, upon receiving information from a user about equipment requiring replacement or maintenance, the system compares technical specifications and operating instructions in a database, analyzes records of past operational failures and equipment accidents to extract safety hazards, and generates and provides customized operating instructions to the user. The system mainly consists of three elements: a server, a terminal, and a user.

[1240] 1. Database Construction

[1241] server

[1242] The server builds a database containing the technical specifications of the equipment, operating instructions, and records of operational failures and equipment accidents. This database registers detailed specifications, operating procedures, and related hazards for each piece of equipment.

[1243] For example, a table called "Antennas" can store the model number, specifications, operating procedures, and past accident records for each antenna.

[1244] 2. Receiving user input information

[1245] terminal

[1246] The terminal provides an interface for users to input information about equipment that needs to be replaced or maintained. The form includes input fields such as "model number," "device type," and "replacement work details."

[1247] User

[1248] The user enters the necessary information, such as "XZ-123" or "antenna replacement," into the form displayed on the terminal, and then presses the submit button to send the data to the server.

[1249] 3. Matching and Analysis

[1250] server

[1251] The server receives device information sent by the user and searches the database for the corresponding technical specifications and operating instructions.

[1252] Furthermore, records of past operational failures and equipment accidents related to specific devices are searched, and relevant risk points are extracted.

[1253] For example, we would find the technical specifications and operating instructions for the antenna of the "XZ-123" and investigate accident records caused by "misuse of tools" or "failure to follow power-off procedures."

[1254] 4. Generating a customized manual

[1255] server

[1256] Based on the extracted information, the server generates customized operating instructions related to the specific device.

[1257] The document should include specific operating procedures, precautions, and identified safety hazards.

[1258] For example, the generated manual will include detailed instructions on "power-off procedures" and "correct usage of specific tools."

[1259] 5. Provision of manuals

[1260] server

[1261] Convert the generated, customized operating instructions into PDF format and prepare them for transmission to the user's device.

[1262] terminal

[1263] The terminal displays the sent PDF manual to the user and makes it available for download.

[1264] As a concrete example, the message "The manual has been generated. Please download it." will be displayed on the device screen.

[1265] Specific example

[1266] Scenario: Replacing the antenna equipment at a base station.

[1267] 1. User input

[1268] The user enters information into the terminal to replace the "antenna device model number XZ-123".

[1269] 2. Matching and Analysis

[1270] The server searches its database for and extracts technical specifications and operating instructions related to the antenna device with the model number "XZ-123".

[1271] The server also searches for records of past operational failures and equipment accidents related to "XZ-123," and analyzes data on accidents caused by "misuse of tools" and "failure to follow power-off procedures."

[1272] 3. Manual generation

[1273] Based on this information, the server generates customized operating instructions that include procedures and potential hazards. These instructions include "Always follow the power-off procedure" and "Correct use of specific tools."

[1274] 4. Provision and Notification

[1275] The generated manual will be sent to the user's device in PDF format, and a notification will be issued.

[1276] In this way, the system of the present invention supports the efficient and safe replacement and maintenance of equipment based on information entered by the user.

[1277] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1278] Step 1:

[1279] The server builds a database containing the technical specifications of the equipment, operating instructions, and records of operational failures and equipment accidents. The database registers detailed specifications, operating procedures, and associated risk factors for each piece of equipment. Inputs include equipment model numbers, performance information, and past accident records. The server stores this information in the database and formats it for use in matching and analysis.

[1280] Step 2:

[1281] The terminal provides an interface for users to input information about equipment that needs to be replaced or maintained. The form includes input fields such as "model number," "device type," and "replacement work details," which the user fills in. The entered information is temporarily held on the terminal and sent to the server when the submit button is clicked. The user's input information is sent to the server as output.

[1282] Step 3:

[1283] The server receives device information sent by the user and searches and extracts the corresponding technical specifications and operating instructions from the database. The user's device information is used as input, and the server matches it against the database. The output is the corresponding technical specifications and operating instructions.

[1284] Step 4:

[1285] The server searches a database for records of past operational failures and equipment accidents related to a specific piece of equipment and extracts potential hazards. The inputs used are the equipment's identification number and related historical records. The server analyzes these records and extracts them as hazards. The output is the identified hazards.

[1286] Step 5:

[1287] The server generates customized operating instructions relevant to a specific device based on the extracted technical specifications, operating instructions, and hazard points. The input is the information extracted in the previous step. The server integrates this information to create customized operating instructions that detail the operating procedures, precautions, and extracted hazard points. The output is the generated operating instructions.

[1288] Step 6:

[1289] The server converts the generated customized operating instructions into PDF format and prepares to send them to the user's terminal. The input is the content of the operating instructions, and the output is a PDF file.

[1290] Step 7:

[1291] The terminal displays the transmitted PDF manual to the user and makes it available for download. The input is the PDF file received from the server, and the output is the displayed PDF and a download button. For example, the terminal screen displays the message, "The manual has been generated. Please download it."

[1292] (Application Example 1)

[1293] 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."

[1294] Conventional maintenance and replacement work requires users to refer to operation manuals and specifications, which has been criticized for reducing work efficiency and increasing the possibility of operational errors. Furthermore, a lack of specific instructions regarding dangerous operating points has led to a high risk of accidents. This invention solves these problems and provides a system that delivers customized manuals in real time using smart devices, thereby improving work efficiency and safety.

[1295] 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.

[1296] In this invention, the server includes means for receiving user input information, means for comparing it with specification and manual information in a database, means for analyzing information on past operational errors and equipment accidents and extracting risk points, means including a display device for visually displaying the generated customized manual in real time, and means for enabling the user to operate without using their hands using the display device. As a result, the user can visually check the necessary information in real time while working and can operate while keeping their hands free. This improves work efficiency and reduces the risk of operational errors and accidents.

[1297] "User input information" refers to information that includes the user's device model number, type, and details of replacement work or maintenance requests.

[1298] A "database" is a collection of information that stores data such as equipment specifications, operation manuals, records of operational errors and equipment accidents, and allows for retrieval and analysis when necessary.

[1299] A "specification sheet" is a document that contains technical information about a device, such as its detailed specifications and operating instructions.

[1300] "Manual information" refers to a guide that details the operating procedures and precautions for the device.

[1301] "Operation error" refers to incorrect procedures or inappropriate operations that occur when operating equipment.

[1302] "Equipment accidents" refer to accidents caused by misuse or malfunction of equipment.

[1303] A "danger point" is an area that requires attention to safety, identified from records of past operational errors and equipment accidents.

[1304] A "customized manual" is a manual that contains individual operating procedures and precautions generated for specific equipment or situations.

[1305] A "display device" is a device that provides users with a generated, customized manual visually in real time.

[1306] "Real-time" refers to a state in which information is processed immediately and provided to the user without delay.

[1307] This invention relates to a system that provides customized maintenance and replacement manuals in real time based on device information entered by the user. This system consists of three elements: a server, a terminal, and a user.

[1308] System Configuration

[1309] A system primarily consists of three elements: servers, terminals, and users.

[1310] 1. Database Construction

[1311] server

[1312] A database has been established to store equipment specifications, manuals, and records of operational errors and equipment accidents.

[1313] The database contains detailed specifications, operating procedures, and associated hazards for each device.

[1314] 2. Receiving user input information

[1315] terminal

[1316] It provides an interface for users to input information about the equipment they wish to replace or maintain. The form includes fields for the equipment model number, type, and details of the replacement or maintenance request.

[1317] User

[1318] The user enters the device model number and replacement request details into a form via the terminal. Once the input is complete, the data is sent to the server via the terminal.

[1319] 3. Matching and Analysis

[1320] server

[1321] The system receives the entered device information and compares it with the device information in the database. It then identifies the relevant specifications and operation manuals.

[1322] At the same time, records of past operational errors and equipment accidents are also searched to identify relevant risk points.

[1323] 4. Generating a customized manual

[1324] server

[1325] Based on the matching and analysis results, a customized manual related to a specific device is generated.

[1326] This manual provides detailed instructions on specific operating procedures, precautions, and identified hazards.

[1327] 5. Provision of manuals

[1328] server

[1329] Convert the generated customized manual to PDF format and prepare it for transmission to the user's device.

[1330] At the same time, the customized manual is transmitted to a display device for real-time visual display.

[1331] terminal

[1332] The sent PDF manual will be displayed to the user and made available for download.

[1333] A customized manual, provided visually in real time, allows users to operate the system without using their hands.

[1334] Specific example

[1335] Scenario: Replacing the antenna equipment at a base station

[1336] User input

[1337] The user enters information into the terminal to replace the antenna device with model number XZ-123.

[1338] Matching and Analysis

[1339] The server searches its database for and extracts specifications and manuals related to the XZ-123 antenna device.

[1340] The server also searches for records of past operational errors and equipment accidents related to the XZ-123, and analyzes data on accidents caused by "misuse of tools" and "failure to follow power-off procedures."

[1341] Manual generation

[1342] Based on this information, the server generates a customized manual that includes operating procedures and potential hazards. This manual includes instructions such as "Always follow the power-off procedure" and "Correct use of specific tools."

[1343] Provision and notification

[1344] The generated manual is sent to the user's device in PDF format, and simultaneously to a display device for real-time visual presentation.

[1345] Example of a prompt

[1346] "To generate a customized guide for your device repair process, please provide the following information:"

[1347] "Device type:"

[1348] "Device model number:"

[1349] "Details of maintenance or replacement work:"

[1350] "Records of past operational errors or accidents:"

[1351] "Specific points of caution or potential hazards:"

[1352] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1353] Step 1:

[1354] Receiving user input information

[1355] The user enters information about the device to be replaced or maintained (model number, type, type, and request details) via a terminal. The terminal receives this information and sends it to the server.

[1356] Input: Device model number, model, type, request details

[1357] Output: Sending device information to the server

[1358] Step 2:

[1359] Database matching

[1360] The server uses the received device information to compare it with the specifications and manuals in the database. Specifically, it searches for documents corresponding to the device's model number and type.

[1361] Input: Received device information

[1362] Output: Applicable specifications and manual information

[1363] Step 3:

[1364] Analysis of operational errors and accident records

[1365] The server searches the database for information on past operational errors and equipment accidents, and identifies and analyzes risk points related to the received equipment information.

[1366] Input: Received device information and verification result

[1367] Output: Identified danger points

[1368] Step 4:

[1369] Generating a customized manual

[1370] The server generates a customized manual for a specific device based on the matching and analysis results. This manual includes specific operating procedures, precautions, and identified hazards.

[1371] Input: Matching results and analysis results

[1372] Output: Customized manual

[1373] Step 5:

[1374] Conversion and provision of customized manuals

[1375] The server converts the generated customized manual into PDF format and sends it to the user's terminal. It also sends it to a display device for real-time visual display.

[1376] Input: Generated customized manual

[1377] Output: Customized manual in PDF format, data for real-time display.

[1378] Step 6:

[1379] Visual display of the manual

[1380] The device displays a customized manual in PDF format to the user, making it downloadable. Simultaneously, the customized manual is displayed visually in real time, allowing the user to operate the device without using their hands.

[1381] Input: Customized manual in PDF format, data for real-time display.

[1382] Output: Displayed customized manual, user assistance

[1383] 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.

[1384] This invention relates to a system in which, upon receiving information from a user about equipment requiring replacement or maintenance, the system compares this information with specifications and manuals in a database, analyzes records of past operational errors and equipment accidents to extract risk points, and generates and provides a customized manual to the user. Furthermore, by incorporating an emotion engine that recognizes the user's emotions, the system provides a customized manual tailored to the user's feelings.

[1385] System Configuration

[1386] A system primarily consists of three elements: servers, terminals, and users.

[1387] ---

[1388] 1. Database Construction

[1389] server

[1390] A database has been established to store equipment specifications, manuals, and records of operational errors and equipment accidents.

[1391] The database contains detailed specifications, operating procedures, and associated hazards for each device.

[1392] ---

[1393] 2. Receiving user input information

[1394] terminal

[1395] It provides an interface for users to input information about the equipment they wish to replace or maintain. The form includes fields for the equipment model number, type, and details of the replacement or maintenance request.

[1396] User

[1397] The user enters the device model number and replacement request details into a form via the terminal. Once the input is complete, the data is sent to the server via the terminal.

[1398] ---

[1399] 3. Matching and Analysis

[1400] server

[1401] The system receives the entered device information and compares it with the device information in the database. It then identifies the relevant specifications and operation manuals.

[1402] Simultaneously, records of past operational errors and equipment accidents related to the aforementioned device are searched to identify relevant risk points.

[1403] ---

[1404] 4. Emotion recognition by an emotion engine

[1405] terminal

[1406] When users input device information, the system also provides a function to recognize the user's emotions from text or voice input.

[1407] Emotional Engine

[1408] It analyzes the user's text and voice input to recognize their emotions.

[1409] The recognized emotion information is sent to the server.

[1410] ---

[1411] 5. Generating a customized manual

[1412] server

[1413] Based on the matching and analysis results, as well as the emotional information received from the emotion engine, a customized manual related to a specific device is generated.

[1414] This manual provides detailed instructions on specific operating procedures, precautions, and identified hazards.

[1415] Customize the content to highlight important notes and warnings based on the user's emotions.

[1416] ---

[1417] 6. Provision of manuals

[1418] server

[1419] Convert the generated customized manual to PDF format and prepare it for transmission to the user's device.

[1420] terminal

[1421] The sent PDF manual will be displayed to the user and made available for download.

[1422] ---

[1423] Specific example

[1424] Scenario: Replacing the antenna equipment at a base station

[1425] ---

[1426] User input

[1427] The user enters information into the terminal to replace the antenna device, model number XZ-123. If the user feels anxious about the replacement process, they can also enter their feelings as text or voice.

[1428] emotion recognition

[1429] The emotion engine recognizes the emotion "anxiety" from the user's input. The emotion information is sent to the server.

[1430] Matching and Analysis

[1431] The server searches the database for specifications and manuals related to the XZ-123 antenna device and extracts them.

[1432] The server also searches records of past operational errors and equipment accidents related to the XZ-123, and analyzes data on accidents caused by "misuse of tools" and "failure to follow power-off procedures."

[1433] Manual generation

[1434] Based on this information, the server generates a customized manual that includes operating procedures and potential hazards. This manual includes instructions such as "Always follow the power-off procedure" and "Correct use of specific tools."

[1435] Based on the user's emotional information, such as "anxiety," important notes are highlighted using bold text or a different color.

[1436] Provision and notification

[1437] The generated manual will be sent to the user's device in PDF format, and a notification will be issued.

[1438] ---

[1439] Thus, the system of the present invention supports the efficient and safe replacement and maintenance of equipment based on information and emotions input by the user.

[1440] The following describes the processing flow.

[1441] ---

[1442] Step 1:

[1443] terminal

[1444] A form is displayed for the user to enter information about the equipment that needs to be replaced or maintained (model number, type, type, and request details).

[1445] ---

[1446] Step 2:

[1447] User

[1448] Enter the device information into the form and click the submit button to send the data to the terminal. You can also enter your current emotions (e.g., anxiety, relief, confusion, etc.) via text or voice input.

[1449] ---

[1450] Step 3:

[1451] terminal

[1452] It generates a request to send the device information and emotion information entered by the user to the server, and then sends it to the server.

[1453] ---

[1454] Step 4:

[1455] server

[1456] The system verifies the device information in the database based on the received user input. It then searches for and extracts the specifications and operation manuals for the corresponding devices.

[1457] ---

[1458] Step 5:

[1459] server

[1460] Simultaneously, the database is searched for records of past operational errors and equipment accidents related to the device, and relevant risk points are identified.

[1461] ---

[1462] Step 6:

[1463] Emotional Engine

[1464] The system analyzes emotional information received from the user to recognize the user's emotions (anxiety, relief, confusion, etc.).

[1465] The recognized emotion information is sent to the server.

[1466] ---

[1467] Step 7:

[1468] server

[1469] Based on emotional information from the emotion engine, a customized manual is generated according to the matching and analysis results. This manual details specific operating procedures, precautions, and identified risk points.

[1470] Depending on the user's emotions, important notes and warnings should be highlighted as needed (e.g., bolding notes if the user is feeling anxious).

[1471] ---

[1472] Step 8:

[1473] server

[1474] Convert the generated customized manual to PDF format and prepare it for transmission to the user's device.

[1475] ---

[1476] Step 9:

[1477] server

[1478] Send the completed PDF manual to the user's device.

[1479] ---

[1480] Step 10:

[1481] terminal

[1482] The received PDF manual is displayed to the user, and a download link is provided.

[1483] ---

[1484] Step 11:

[1485] User

[1486] Refer to the provided PDF manual and perform any necessary equipment replacement or maintenance work.

[1487] ---

[1488] The above outlines the specific processing steps of the system that combines the emotion engine.

[1489] (Example 2)

[1490] 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."

[1491] There is a problem in that users cannot perform tasks safely and efficiently when replacing or maintaining equipment using only the information in existing manuals. Furthermore, manuals that do not consider the user's emotional state cannot alleviate user anxiety.

[1492] 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.

[1493] In this invention, the server includes means for receiving user input information, means for comparing it with specification and manual information in a database, means for analyzing information on past operational errors and equipment accidents and extracting risk points, means for recognizing emotions from user input information, means for generating a customized manual based on the matching and analysis results and emotion information, and means for converting the generated customized manual into PDF format and providing it to the user. This makes it possible to provide a customized manual that takes into account the user's input information and emotions, thereby supporting safe and efficient work.

[1494] "User input information" refers to information provided by the user to the system, including the model number, type, and specifications of the device, as well as requests for replacement work or maintenance.

[1495] A "database" is a collection of digital information used to store equipment specifications, manuals, and records of past operational errors and equipment accidents.

[1496] A "specification sheet" is a document that describes the detailed specifications, functions, and usage instructions of a particular device.

[1497] A "manual" is a document that includes guidelines explaining the operation procedures and maintenance methods of a device.

[1498] "Operation error" refers to a record of human error or improper operation that occurred during the operation of equipment.

[1499] "Equipment accidents" are records of equipment malfunctions or problems that occur.

[1500] A "danger point" is an area that requires special attention during the operation or maintenance of equipment, based on analysis of past data.

[1501] An "emotion engine" is a system that analyzes and recognizes emotions from text or voice input by the user.

[1502] A "customized manual" is a manual created by customizing the operating procedures and precautions for a specific device based on user input and emotional information.

[1503] "PDF format" is an electronic document format that converts generated documents into a form that users can easily view and download.

[1504] This invention is a system in which, upon receiving information from a user about equipment requiring replacement or maintenance, the system compares this information with specifications and manuals in a database, analyzes records of past operational errors and equipment accidents to extract risk points, and generates and provides a customized manual to the user. Furthermore, by incorporating an emotion engine that recognizes the user's emotions, the system provides a customized manual tailored to the user's feelings.

[1505] System Configuration

[1506] A system primarily consists of three elements: servers, terminals, and users.

[1507] Database Construction

[1508] server

[1509] The server will build a database to store equipment specifications, manuals, and records of past operational errors and equipment accidents.

[1510] The database contains detailed specifications, operating procedures, and associated hazards for each device.

[1511] Receiving user input information

[1512] terminal

[1513] It provides an interface for users to input information about the equipment they wish to replace or maintain. The interface includes fields for entering the equipment model number, type, and details of the replacement or maintenance request.

[1514] User

[1515] Users use their devices to enter the necessary information into fields and send the data to the server by clicking / tapping the submit button.

[1516] Matching and analysis

[1517] server

[1518] The server receives device information sent by the user and compares it with the information in the database. It identifies the relevant specifications and operation manuals, searches for records of past operational errors and equipment accidents, and identifies related risk points.

[1519] Emotion recognition by an emotion engine

[1520] terminal

[1521] The terminal provides a function that recognizes the user's emotions from text or voice input when the user enters device information.

[1522] Emotional Engine

[1523] The emotion engine analyzes emotions from text and voice input by the user and sends the emotion data to the server.

[1524] Generating a customized manual

[1525] server

[1526] The server generates a customized manual related to a specific device based on the matching and analysis results, as well as emotional information.

[1527] The manual will detail specific operating procedures, precautions, and identified hazards. It will also include emphasis on important precautions and warnings, tailored to the user's perspective.

[1528] Provision of customized manuals

[1529] server

[1530] The server converts the generated customized manual into PDF format and sends it to the user's device.

[1531] terminal

[1532] The terminal displays the transmitted PDF manual to the user and provides a download link.

[1533] Specific example

[1534] Scenario: Replacing the antenna equipment at a base station

[1535] User input

[1536] The user enters "information for replacing antenna device model number XZ-123" into the terminal and inputs any concerns about the replacement process as text or voice.

[1537] emotion recognition

[1538] The emotion engine recognizes the emotion "anxiety," and the emotional information is sent to the server.

[1539] Matching and Analysis

[1540] The server searches the database for specifications and manuals related to the XZ-123 antenna device. Simultaneously, it searches for records of related past operational errors and equipment accidents, identifying accident data caused by "misuse of tools" and "failure to follow power-off procedures."

[1541] Manual generation

[1542] Based on this information, the server generates a customized manual that includes specific operating procedures and precautions. Important precautions are highlighted in bold or color based on the user's concerns.

[1543] Provision and notification

[1544] The server sends the generated manual in PDF format to the user's device and sends a notification. The device displays a button that says "Download here."

[1545] Examples of prompts to input into a generative AI model

[1546] "I'm unsure about the procedure for replacing the antenna unit, model number XZ-123. Please provide a customized manual that includes specific operating procedures and precautions."

[1547] This invention allows users to receive a customized manual based on the information and emotions they input, enabling them to efficiently and safely replace or maintain equipment.

[1548] The flow of the specific processing in Example 2 will be explained using Figure 13.

[1549] Step 1:

[1550] Database Construction

[1551] server

[1552] The server first builds a database to store equipment specifications, manuals, and records of past operational errors and equipment accidents. This database registers detailed specifications, operating procedures, and associated risk factors for each piece of equipment. For example, the server uploads the specification sheet, operation manual, and past accident reports for a "Type XYZ device" as input data and stores them in the database.

[1553] Step 2:

[1554] Receiving user input information

[1555] terminal

[1556] The terminal provides an interface for users to input information about the equipment they wish to replace or maintain. For example, it can be configured to allow users to enter the equipment's model number, type, and details of the replacement or maintenance request in a form. The input data might be something like "Replace parts for machine A123".

[1557] User

[1558] The user uses their device to enter the necessary information into the fields and sends the data to the server by clicking / tapping the submit button. Specifically, they would enter "Replace parts for machine A123" and submit it.

[1559] Step 3:

[1560] Input data verification and analysis

[1561] server

[1562] The server receives device information sent by the user and compares it with the information in the database. If the input data relates to "Machine A123," it identifies and extracts the relevant specifications and operation manuals from the database. It also searches for records of past operational errors and equipment accidents to identify related risk points.

[1563] operation

[1564] The server extracts the spec sheet and manual for "Machine A123," as well as past accident data related to "misuse of tools" and "failure to follow power-off procedures," as analysis data.

[1565] Step 4:

[1566] Emotion recognition by an emotion engine

[1567] terminal

[1568] The terminal provides a function that recognizes the user's emotions from text or voice input when the user enters device information. For example, the user might input, "I feel anxious about this task."

[1569] Emotional Engine

[1570] The emotion engine analyzes emotions from text and voice input by the user and sends the recognized emotion data to the server. Specifically, it identifies the emotion of "anxiety."

[1571] operation

[1572] The emotion engine outputs "anxiety" as an analysis result and sends it to the server.

[1573] Step 5:

[1574] Generating a customized manual

[1575] server

[1576] The server generates a customized manual for a specific device based on analysis results and sentiment information. This manual details specific operating procedures, precautions, and identified hazards. Furthermore, it emphasizes important precautions and warnings according to the user's sentiment. For example, it might highlight "Always follow the power-off procedure" in bold and add reassuring wording.

[1577] operation

[1578] The server customizes the "Machine A123 Replacement Procedure Manual" and outputs it with the following points highlighted: "Always follow the power-off procedure" and "Correct use of tools."

[1579] Step 6:

[1580] Provision of customized manuals

[1581] server

[1582] The server converts the generated customized manual into PDF format and sends it to the user's terminal. Specifically, it prepares the "Replacement Procedure Manual for Machine A123" as a PDF for transmission.

[1583] terminal

[1584] The terminal displays a PDF manual sent from the server to the user and provides a download link. For example, a button labeled "Download Here" might appear on the user's screen.

[1585] operation

[1586] The user clicks "Download here" to download the PDF manual.

[1587] (Application Example 2)

[1588] 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."

[1589] In factories and industrial settings, equipment replacement and maintenance are tasks requiring advanced skills and meticulous attention, and there is a high risk of equipment accidents due to incorrect operation or past operational errors. Therefore, providing accurate manuals is essential, and the emotional state of the worker can also have an impact. Considering these factors, customized manuals tailored to each worker's situation and real-time support are required to improve work efficiency and safety. However, conventional systems have struggled to meet these requirements.

[1590] 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.

[1591] In this invention, the server includes means for receiving user input information, means for comparing specification and manual information in a database based on the user input information, means for analyzing information on past operational errors and equipment accidents in the database and extracting risk points, means for recognizing the user's emotions, means for further customizing the customized manual based on the user's emotional information, and means for providing the generated customized manual to the user. This makes it possible to provide accurate and safe work procedures tailored to the individual worker's situation and emotional state, thereby improving work efficiency and safety.

[1592] "User input information" refers to information about the equipment that the user wishes to replace or maintain, specifically including the equipment's model number, type, and the details of the work request.

[1593] A "database" is an information aggregation system that stores records including equipment specifications, manuals, and information on operational errors and equipment accidents.

[1594] "Verification" refers to the process of searching for and matching the corresponding device information in the database based on user input.

[1595] "Analysis" is the process of identifying risk points by analyzing information on past operational errors and equipment accidents in a database.

[1596] A "customized manual" is an operation guide optimized for a specific device or work procedure based on user input information and related analysis results.

[1597] "Emotion recognition means" refers to technology that analyzes and recognizes emotions from user input or voice.

[1598] A "smart device" refers to an interface terminal that includes wearable technology for displaying information in real time, such as smart glasses and smartphones.

[1599] This invention provides a system for performing equipment replacement and maintenance work in factories and industrial sites more safely and efficiently. Specifically, it generates and provides customized manuals by comparing and analyzing user input information and sentiment information with specifications and manuals in a database. This system consists of the following main elements.

[1600] 1. Receiving user input information

[1601] The user uses a terminal to input information about the equipment they want to replace or maintain. Specifically, this information is entered via voice or text into a smart device such as smart glasses. For example, "I want to replace the robot arm, model number TSUN-567." The system also recognizes the user's emotions regarding the task.

[1602] 2. Database Construction and Search

[1603] The server has a database that stores equipment specifications, manuals, and information on past operational errors and equipment accidents. The server receives equipment information sent by the user, searches the database for the relevant specifications and manuals, and identifies potential hazards. This can be done using, for example, an SQL database or a NoSQL database.

[1604] 3. Recognition of emotions

[1605] Emotion recognition uses an emotion engine. It analyzes the user's voice and text input to recognize emotions. For example, if the user is feeling anxious, the emotion "anxiety" will be recognized. This information is sent to a server and used to generate customized manuals. Software used includes, for example, "IBM Watson Tone Analyzer API" and "Google Cloud Speech-to-Text API".

[1606] 4. Generating a customized manual

[1607] The server generates a customized manual based on the matching and analysis results, as well as the emotion recognition results. This manual details operating procedures, precautions, and potential hazards. Important precautions are also highlighted according to the recognized emotion. For example, for users experiencing anxiety, sections requiring special attention are highlighted in bold or a different color.

[1608] 5. Provision of customized manuals

[1609] The generated customized manual is converted to PDF format and sent to the user's device. The user can then proceed with their work while viewing the manual displayed on their device in real time. This improves safety and efficiency in specific tasks.

[1610] Specific example

[1611] Let's consider a scenario where a factory worker, wearing smart glasses, performs a robotic arm replacement task. In this case, the user gives a voice command saying, "I want to replace robotic arm model number TSUN-567." The emotion engine recognizes the emotion "anxiety," and the server searches the database for the relevant manual information. Based on the retrieved information, a customized manual like the one below is generated and displayed on the user's smart glasses.

[1612] Example of a prompt

[1613] The user is wearing smart glasses. Currently, a robotic arm replacement is being performed. The user is feeling anxious about the task and has said via voice input, "I want to know the procedure for replacing the robotic arm." In this case, please respond as follows:

[1614] The procedure for replacing the TSUN-567 robotic arm is as follows:

[1615] 1. Turn off the main power switch.

[1616] 2. Attach the safety device.

[1617] 3. Disconnect the connecting cable.

[1618] 4. Remove the old arm.

[1619] Danger point: Always wear insulated gloves when disconnecting connecting cables.

[1620] (Caution) This task requires special attention. Please proceed with caution.

[1621] This prompt provides specific guidance to help the user safely perform a particular task. By utilizing a generative AI model, it can respond flexibly to the user's situation.

[1622] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[1623] Step 1:

[1624] The user uses a terminal (smart device) to input information about the equipment they wish to replace or maintain.

[1625] Input: Device model number, model, work request details, and emotional state (voice or text)

[1626] Specific actions: The user voice-inputs "I want to replace the robot arm model number TSUN-567" into the terminal and adds "I am feeling uneasy."

[1627] Step 2:

[1628] The terminal sends the entered information to the server.

[1629] Input: User voice input and text input

[1630] Output: Device information and emotion information sent to the server

[1631] Specific operation: The application on the device converts the voice input into text and sends the generated data to the server.

[1632] Step 3:

[1633] The server searches the database to retrieve specifications and manuals that match the entered device information.

[1634] Input: Device model number and model information

[1635] Output: Data from the relevant specifications and manuals.

[1636] Specific operation: The server's search algorithm searches the database for device information and retrieves matching information.

[1637] Step 4:

[1638] The server analyzes records of past operational errors and equipment accidents to extract risk points associated with specific equipment.

[1639] Input: Data on operational errors and equipment accidents

[1640] Output: Extracted danger points

[1641] Specific operation: The server uses machine learning algorithms to identify risk points from existing data in the database.

[1642] Step 5:

[1643] The server uses an emotion engine to analyze the user's emotional information and adjusts the content of the customized manual based on this analysis.

[1644] Input: User sentiment information

[1645] Output: Customized manual content tailored to emotions

[1646] Specific operation: The emotion engine analyzes the input audio or text and provides the server with emotional information such as "anxiety."

[1647] Step 6:

[1648] The server generates a customized manual based on the matching and analysis results, as well as information from the emotion engine.

[1649] Input: Matching results, analysis results, sentiment information

[1650] Output: Completed customized manual

[1651] Specific operation: The server uses templates to generate customized manuals tailored to specific devices and emotions.

[1652] Step 7:

[1653] Convert the generated customized manual to PDF format and send it to the device.

[1654] Input: Customized manual

[1655] Output: PDF file

[1656] Specific operation: The server converts the generated manual into PDF format and sends the data to the terminal.

[1657] Step 8:

[1658] The terminal displays customized manuals to the user in real time, allowing them to work safely.

[1659] Input: Customized manual in PDF format

[1660] Output: Manual displayed on the terminal's screen

[1661] Specific action: The application on the device opens the PDF file and displays it in the user's field of view.

[1662] 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.

[1663] 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.

[1664] 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.

[1665] [Fourth Embodiment]

[1666] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[1667] 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.

[1668] 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).

[1669] 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.

[1670] 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.

[1671] 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).

[1672] 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.

[1673] 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.

[1674] 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.

[1675] 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.

[1676] 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.

[1677] 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.

[1678] 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".

[1679] This invention relates to a system in which, upon receiving information from a user about equipment that needs replacement or maintenance, the system compares this information with specifications and manuals in a database, analyzes records of past operational errors and equipment accidents to extract potential hazards, generates a customized manual, and provides it to the user.

[1680] System Configuration

[1681] A system primarily consists of three elements: servers, terminals, and users.

[1682] ---

[1683] 1. Database Construction

[1684] server

[1685] A database has been established to store equipment specifications, manuals, and records of operational errors and equipment accidents.

[1686] The database contains detailed specifications, operating procedures, and associated hazards for each device.

[1687] ---

[1688] 2. Receiving user input information

[1689] terminal

[1690] It provides an interface for users to input information about the equipment they wish to replace or maintain. The form includes fields for the equipment model number, type, and details of the replacement or maintenance request.

[1691] User

[1692] The user enters the device model number and replacement request details into a form via the terminal. Once the input is complete, the data is sent to the server via the terminal.

[1693] ---

[1694] 3. Matching and Analysis

[1695] server

[1696] The system receives the entered device information and compares it with the device information in the database. It then identifies the relevant specifications and operation manuals.

[1697] At the same time, records of past operational errors and equipment accidents are also searched to identify relevant risk points.

[1698] ---

[1699] 4. Generating a customized manual

[1700] server

[1701] Based on the matching and analysis results, a customized manual related to a specific device is generated.

[1702] This manual provides detailed instructions on specific operating procedures, precautions, and identified hazards.

[1703] ---

[1704] 5. Provision of manuals

[1705] server

[1706] Convert the generated customized manual to PDF format and prepare it for transmission to the user's device.

[1707] terminal

[1708] The sent PDF manual will be displayed to the user and made available for download.

[1709] ---

[1710] Specific example

[1711] Scenario: Replacing the antenna equipment at a base station

[1712] ---

[1713] User input

[1714] The user enters information into the terminal to replace the "antenna device model number XZ-123".

[1715] Matching and Analysis

[1716] The server searches the database for specifications and manuals related to the XZ-123 antenna device and extracts them.

[1717] The server also searches records of past operational errors and equipment accidents related to the XZ-123, and analyzes data on accidents caused by "misuse of tools" and "failure to follow power-off procedures."

[1718] Manual generation

[1719] Based on this information, the server generates a customized manual that includes operating procedures and potential hazards. This manual includes instructions such as "Always follow the power-off procedure" and "Correct use of specific tools."

[1720] Provision and notification

[1721] The generated manual will be sent to the user's device in PDF format, and a notification will be issued.

[1722] ---

[1723] In this way, the system of the present invention supports the efficient and safe replacement and maintenance of equipment based on information entered by the user.

[1724] The following describes the processing flow.

[1725] ---

[1726] Step 1:

[1727] terminal

[1728] A form is displayed for the user to enter information about the equipment that needs to be replaced or maintained (model number, type, type, and request details).

[1729] ---

[1730] Step 2:

[1731] User

[1732] Enter the device information into the form and click the submit button to send the data to your terminal.

[1733] ---

[1734] Step 3:

[1735] terminal

[1736] It generates a request to send the device information entered by the user to the server, and then sends it to the server.

[1737] ---

[1738] Step 4:

[1739] server

[1740] The received user input information is compared with the device information in the database.

[1741] Search for and extract the specifications and operation manuals for the relevant equipment.

[1742] ---

[1743] Step 5:

[1744] server

[1745] At the same time, the database is searched for records of past operational errors and equipment accidents related to the aforementioned device.

[1746] ---

[1747] Step 6:

[1748] server

[1749] We analyze the records of operational errors and equipment accidents that we have searched for, and identify potential hazards.

[1750] Based on the analysis results, we will clarify the factors that make accidents and mistakes more likely to occur.

[1751] ---

[1752] Step 7:

[1753] server

[1754] A customized manual is generated based on the verified specifications, operation manuals, and analyzed risk points.

[1755] The generated manual will contain specific operating procedures and important precautions.

[1756] ---

[1757] Step 8:

[1758] server

[1759] Convert the generated customized manual into PDF format and prepare it for distribution to users.

[1760] ---

[1761] Step 9:

[1762] server

[1763] Send the completed PDF manual to the user's device.

[1764] ---

[1765] Step 10:

[1766] terminal

[1767] The received PDF manual is displayed to the user, and a download link is provided.

[1768] ---

[1769] Step 11:

[1770] User

[1771] Refer to the provided PDF manual and perform any necessary equipment replacement or maintenance work.

[1772] ---

[1773] The above provides a detailed step-by-step explanation of how the system works.

[1774] (Example 1)

[1775] 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".

[1776] In conventional equipment replacement and maintenance, it was difficult for users to quickly grasp the appropriate operating procedures and safety precautions. In particular, if information on past operational failures or equipment accidents was not taken into consideration, the risk of similar problems occurring again increased. This resulted in challenges such as decreased work efficiency and safety issues.

[1777] 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.

[1778] In this invention, the server includes means for receiving user input information, means for comparing technical specifications and operating instructions in a database based on the user input information, and means for analyzing information on past operational failures and equipment accidents in the database and extracting safety risk points. This makes it possible to provide users with customized operating instructions for efficient and safe replacement and maintenance of equipment.

[1779] "User input information" refers to information entered by the user into the system, including the device's identification number, model, type, and details of replacement work or maintenance requests.

[1780] "Technical specifications" are detailed descriptions of the performance and functions of a particular device, and provide information that indicates the design and usage of that device.

[1781] An "operating manual" is a document or manual that outlines the procedures and precautions for using, maintaining, and replacing equipment.

[1782] "Operational failure" refers to errors or mistakes that occur during the use of equipment, and includes recorded information about their causes and effects.

[1783] "Equipment accidents" refer to instances where devices or equipment malfunctioned and caused accidents, and the information recorded includes details, causes, and countermeasures for such incidents.

[1784] "Safety hazard points" refer to areas or procedures that require attention during work, identified based on records of past operational failures and equipment accidents.

[1785] A "customized operating manual" is a document containing individualized operating procedures and precautions, created based on user input information and database data, tailored to specific devices and situations.

[1786] An "electronic document format" refers to the format in which a document is stored and provided as a digital file, with PDF being a common example.

[1787] This invention relates to a system in which, upon receiving information from a user about equipment requiring replacement or maintenance, the system compares technical specifications and operating instructions in a database, analyzes records of past operational failures and equipment accidents to extract safety hazards, and generates and provides customized operating instructions to the user. The system mainly consists of three elements: a server, a terminal, and a user.

[1788] 1. Database Construction

[1789] server

[1790] The server builds a database containing the technical specifications of the equipment, operating instructions, and records of operational failures and equipment accidents. This database registers detailed specifications, operating procedures, and related hazards for each piece of equipment.

[1791] For example, a table called "Antennas" can store the model number, specifications, operating procedures, and past accident records for each antenna.

[1792] 2. Receiving user input information

[1793] terminal

[1794] The terminal provides an interface for users to input information about equipment that needs to be replaced or maintained. The form includes input fields such as "model number," "device type," and "replacement work details."

[1795] User

[1796] The user enters the necessary information, such as "XZ-123" or "antenna replacement," into the form displayed on the terminal, and then presses the submit button to send the data to the server.

[1797] 3. Matching and Analysis

[1798] server

[1799] The server receives device information sent by the user and searches the database for the corresponding technical specifications and operating instructions.

[1800] Furthermore, records of past operational failures and equipment accidents related to specific devices are searched, and relevant risk points are extracted.

[1801] For example, we would find the technical specifications and operating instructions for the antenna of the "XZ-123" and investigate accident records caused by "misuse of tools" or "failure to follow power-off procedures."

[1802] 4. Generating a customized manual

[1803] server

[1804] Based on the extracted information, the server generates customized operating instructions related to the specific device.

[1805] The document should include specific operating procedures, precautions, and identified safety hazards.

[1806] For example, the generated manual will include detailed instructions on "power-off procedures" and "correct usage of specific tools."

[1807] 5. Provision of manuals

[1808] server

[1809] Convert the generated, customized operating instructions into PDF format and prepare them for transmission to the user's device.

[1810] terminal

[1811] The terminal displays the sent PDF manual to the user and makes it available for download.

[1812] As a concrete example, the message "The manual has been generated. Please download it." will be displayed on the device screen.

[1813] Specific example

[1814] Scenario: Replacing the antenna equipment at a base station.

[1815] 1. User input

[1816] The user enters information into the terminal to replace the "antenna device model number XZ-123".

[1817] 2. Matching and Analysis

[1818] The server searches its database for and extracts technical specifications and operating instructions related to the antenna device with the model number "XZ-123".

[1819] The server also searches for records of past operational failures and equipment accidents related to "XZ-123," and analyzes data on accidents caused by "misuse of tools" and "failure to follow power-off procedures."

[1820] 3. Manual generation

[1821] Based on this information, the server generates customized operating instructions that include procedures and potential hazards. These instructions include "Always follow the power-off procedure" and "Correct use of specific tools."

[1822] 4. Provision and Notification

[1823] The generated manual will be sent to the user's device in PDF format, and a notification will be issued.

[1824] In this way, the system of the present invention supports the efficient and safe replacement and maintenance of equipment based on information entered by the user.

[1825] The flow of the specific processing in Example 1 will be explained using Figure 11.

[1826] Step 1:

[1827] The server builds a database containing the technical specifications of the equipment, operating instructions, and records of operational failures and equipment accidents. The database registers detailed specifications, operating procedures, and associated risk factors for each piece of equipment. Inputs include equipment model numbers, performance information, and past accident records. The server stores this information in the database and formats it for use in matching and analysis.

[1828] Step 2:

[1829] The terminal provides an interface for users to input information about equipment that needs to be replaced or maintained. The form includes input fields such as "model number," "device type," and "replacement work details," which the user fills in. The entered information is temporarily held on the terminal and sent to the server when the submit button is clicked. The user's input information is sent to the server as output.

[1830] Step 3:

[1831] The server receives device information sent by the user and searches and extracts the corresponding technical specifications and operating instructions from the database. The user's device information is used as input, and the server matches it against the database. The output is the corresponding technical specifications and operating instructions.

[1832] Step 4:

[1833] The server searches a database for records of past operational failures and equipment accidents related to a specific piece of equipment and extracts potential hazards. The inputs used are the equipment's identification number and related historical records. The server analyzes these records and extracts them as hazards. The output is the identified hazards.

[1834] Step 5:

[1835] The server generates customized operating instructions relevant to a specific device based on the extracted technical specifications, operating instructions, and hazard points. The input is the information extracted in the previous step. The server integrates this information to create customized operating instructions that detail the operating procedures, precautions, and extracted hazard points. The output is the generated operating instructions.

[1836] Step 6:

[1837] The server converts the generated customized operating instructions into PDF format and prepares to send them to the user's terminal. The input is the content of the operating instructions, and the output is a PDF file.

[1838] Step 7:

[1839] The terminal displays the transmitted PDF manual to the user and makes it available for download. The input is the PDF file received from the server, and the output is the displayed PDF and a download button. For example, the terminal screen displays the message, "The manual has been generated. Please download it."

[1840] (Application Example 1)

[1841] 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".

[1842] Conventional maintenance and replacement work requires users to refer to operation manuals and specifications, which has been criticized for reducing work efficiency and increasing the possibility of operational errors. Furthermore, a lack of specific instructions regarding dangerous operating points has led to a high risk of accidents. This invention solves these problems and provides a system that delivers customized manuals in real time using smart devices, thereby improving work efficiency and safety.

[1843] 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.

[1844] In this invention, the server includes means for receiving user input information, means for comparing it with specification and manual information in a database, means for analyzing information on past operational errors and equipment accidents and extracting risk points, means including a display device for visually displaying the generated customized manual in real time, and means for enabling the user to operate without using their hands using the display device. As a result, the user can visually check the necessary information in real time while working and can operate while keeping their hands free. This improves work efficiency and reduces the risk of operational errors and accidents.

[1845] "User input information" refers to information that includes the user's device model number, type, and details of replacement work or maintenance requests.

[1846] A "database" is a collection of information that stores data such as equipment specifications, operation manuals, records of operational errors and equipment accidents, and allows for retrieval and analysis when necessary.

[1847] A "specification sheet" is a document that contains technical information about a device, such as its detailed specifications and operating instructions.

[1848] "Manual information" refers to a guide that details the operating procedures and precautions for the device.

[1849] "Operation error" refers to incorrect procedures or inappropriate operations that occur when operating equipment.

[1850] "Equipment accidents" refer to accidents caused by misuse or malfunction of equipment.

[1851] A "danger point" is an area that requires attention to safety, identified from records of past operational errors and equipment accidents.

[1852] A "customized manual" is a manual that contains individual operating procedures and precautions generated for specific equipment or situations.

[1853] A "display device" is a device that provides users with a generated, customized manual visually in real time.

[1854] "Real-time" refers to a state in which information is processed immediately and provided to the user without delay.

[1855] This invention relates to a system that provides customized maintenance and replacement manuals in real time based on device information entered by the user. This system consists of three elements: a server, a terminal, and a user.

[1856] System Configuration

[1857] A system primarily consists of three elements: servers, terminals, and users.

[1858] 1. Database Construction

[1859] server

[1860] A database has been established to store equipment specifications, manuals, and records of operational errors and equipment accidents.

[1861] The database contains detailed specifications, operating procedures, and associated hazards for each device.

[1862] 2. Receiving user input information

[1863] terminal

[1864] It provides an interface for users to input information about the equipment they wish to replace or maintain. The form includes fields for the equipment model number, type, and details of the replacement or maintenance request.

[1865] User

[1866] The user enters the device model number and replacement request details into a form via the terminal. Once the input is complete, the data is sent to the server via the terminal.

[1867] 3. Matching and Analysis

[1868] server

[1869] The system receives the entered device information and compares it with the device information in the database. It then identifies the relevant specifications and operation manuals.

[1870] At the same time, records of past operational errors and equipment accidents are also searched to identify relevant risk points.

[1871] 4. Generating a customized manual

[1872] server

[1873] Based on the matching and analysis results, a customized manual related to a specific device is generated.

[1874] This manual provides detailed instructions on specific operating procedures, precautions, and identified hazards.

[1875] 5. Provision of manuals

[1876] server

[1877] Convert the generated customized manual to PDF format and prepare it for transmission to the user's device.

[1878] At the same time, the customized manual is transmitted to a display device for real-time visual display.

[1879] terminal

[1880] The sent PDF manual will be displayed to the user and made available for download.

[1881] A customized manual, provided visually in real time, allows users to operate the system without using their hands.

[1882] Specific example

[1883] Scenario: Replacing the antenna equipment at a base station

[1884] User input

[1885] The user enters information into the terminal to replace the antenna device with model number XZ-123.

[1886] Matching and Analysis

[1887] The server searches its database for and extracts specifications and manuals related to the XZ-123 antenna device.

[1888] The server also searches for records of past operational errors and equipment accidents related to the XZ-123, and analyzes data on accidents caused by "misuse of tools" and "failure to follow power-off procedures."

[1889] Manual generation

[1890] Based on this information, the server generates a customized manual that includes operating procedures and potential hazards. This manual includes instructions such as "Always follow the power-off procedure" and "Correct use of specific tools."

[1891] Provision and notification

[1892] The generated manual is sent to the user's device in PDF format, and simultaneously to a display device for real-time visual presentation.

[1893] Example of a prompt

[1894] "To generate a customized guide for your device repair process, please provide the following information:"

[1895] "Device type:"

[1896] "Device model number:"

[1897] "Details of maintenance or replacement work:"

[1898] "Records of past operational errors or accidents:"

[1899] "Specific points of caution or potential hazards:"

[1900] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[1901] Step 1:

[1902] Receiving user input information

[1903] The user enters information about the device to be replaced or maintained (model number, type, type, and request details) via a terminal. The terminal receives this information and sends it to the server.

[1904] Input: Device model number, model, type, request details

[1905] Output: Sending device information to the server

[1906] Step 2:

[1907] Database matching

[1908] The server uses the received device information to compare it with the specifications and manuals in the database. Specifically, it searches for documents corresponding to the device's model number and type.

[1909] Input: Received device information

[1910] Output: Applicable specifications and manual information

[1911] Step 3:

[1912] Analysis of operational errors and accident records

[1913] The server searches the database for information on past operational errors and equipment accidents, and identifies and analyzes risk points related to the received equipment information.

[1914] Input: Received device information and verification result

[1915] Output: Identified danger points

[1916] Step 4:

[1917] Generating a customized manual

[1918] The server generates a customized manual for a specific device based on the matching and analysis results. This manual includes specific operating procedures, precautions, and identified hazards.

[1919] Input: Matching results and analysis results

[1920] Output: Customized manual

[1921] Step 5:

[1922] Conversion and provision of customized manuals

[1923] The server converts the generated customized manual into PDF format and sends it to the user's terminal. It also sends it to a display device for real-time visual display.

[1924] Input: Generated customized manual

[1925] Output: Customized manual in PDF format, data for real-time display.

[1926] Step 6:

[1927] Visual display of the manual

[1928] The device displays a customized manual in PDF format to the user, making it downloadable. Simultaneously, the customized manual is displayed visually in real time, allowing the user to operate the device without using their hands.

[1929] Input: Customized manual in PDF format, data for real-time display.

[1930] Output: Displayed customized manual, user assistance

[1931] 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.

[1932] This invention relates to a system in which, upon receiving information from a user about equipment requiring replacement or maintenance, the system compares this information with specifications and manuals in a database, analyzes records of past operational errors and equipment accidents to extract risk points, and generates and provides a customized manual to the user. Furthermore, by incorporating an emotion engine that recognizes the user's emotions, the system provides a customized manual tailored to the user's feelings.

[1933] System Configuration

[1934] A system primarily consists of three elements: servers, terminals, and users.

[1935] ---

[1936] 1. Database Construction

[1937] server

[1938] A database has been established to store equipment specifications, manuals, and records of operational errors and equipment accidents.

[1939] The database contains detailed specifications, operating procedures, and associated hazards for each device.

[1940] ---

[1941] 2. Receiving user input information

[1942] terminal

[1943] It provides an interface for users to input information about the equipment they wish to replace or maintain. The form includes fields for the equipment model number, type, and details of the replacement or maintenance request.

[1944] User

[1945] The user enters the device model number and replacement request details into a form via the terminal. Once the input is complete, the data is sent to the server via the terminal.

[1946] ---

[1947] 3. Matching and Analysis

[1948] server

[1949] The system receives the entered device information and compares it with the device information in the database. It then identifies the relevant specifications and operation manuals.

[1950] Simultaneously, records of past operational errors and equipment accidents related to the aforementioned device are searched to identify relevant risk points.

[1951] ---

[1952] 4. Emotion recognition by an emotion engine

[1953] terminal

[1954] When users input device information, the system also provides a function to recognize the user's emotions from text or voice input.

[1955] Emotional Engine

[1956] It analyzes the user's text and voice input to recognize their emotions.

[1957] The recognized emotion information is sent to the server.

[1958] ---

[1959] 5. Generating a customized manual

[1960] server

[1961] Based on the matching and analysis results, as well as the emotional information received from the emotion engine, a customized manual related to a specific device is generated.

[1962] This manual provides detailed instructions on specific operating procedures, precautions, and identified hazards.

[1963] Customize the content to highlight important notes and warnings based on the user's emotions.

[1964] ---

[1965] 6. Provision of manuals

[1966] server

[1967] Convert the generated customized manual to PDF format and prepare it for transmission to the user's device.

[1968] terminal

[1969] The sent PDF manual will be displayed to the user and made available for download.

[1970] ---

[1971] Specific example

[1972] Scenario: Replacing the antenna equipment at a base station

[1973] ---

[1974] User input

[1975] The user enters information into the terminal to replace the antenna device, model number XZ-123. If the user feels anxious about the replacement process, they can also enter their feelings as text or voice.

[1976] emotion recognition

[1977] The emotion engine recognizes the emotion "anxiety" from the user's input. The emotion information is sent to the server.

[1978] Matching and Analysis

[1979] The server searches the database for specifications and manuals related to the XZ-123 antenna device and extracts them.

[1980] The server also searches records of past operational errors and equipment accidents related to the XZ-123, and analyzes data on accidents caused by "misuse of tools" and "failure to follow power-off procedures."

[1981] Manual generation

[1982] Based on this information, the server generates a customized manual that includes operating procedures and potential hazards. This manual includes instructions such as "Always follow the power-off procedure" and "Correct use of specific tools."

[1983] Based on the user's emotional information, such as "anxiety," important notes are highlighted using bold text or a different color.

[1984] Provision and notification

[1985] The generated manual will be sent to the user's device in PDF format, and a notification will be issued.

[1986] ---

[1987] Thus, the system of the present invention supports the efficient and safe replacement and maintenance of equipment based on information and emotions input by the user.

[1988] The following describes the processing flow.

[1989] ---

[1990] Step 1:

[1991] terminal

[1992] A form is displayed for the user to enter information about the equipment that needs to be replaced or maintained (model number, type, type, and request details).

[1993] ---

[1994] Step 2:

[1995] User

[1996] Enter the device information into the form and click the submit button to send the data to the terminal. You can also enter your current emotions (e.g., anxiety, relief, confusion, etc.) via text or voice input.

[1997] ---

[1998] Step 3:

[1999] terminal

[2000] It generates a request to send the device information and emotion information entered by the user to the server, and then sends it to the server.

[2001] ---

[2002] Step 4:

[2003] server

[2004] The system verifies the device information in the database based on the received user input. It then searches for and extracts the specifications and operation manuals for the corresponding devices.

[2005] ---

[2006] Step 5:

[2007] server

[2008] Simultaneously, the database is searched for records of past operational errors and equipment accidents related to the device, and relevant risk points are identified.

[2009] ---

[2010] Step 6:

[2011] Emotional Engine

[2012] The system analyzes emotional information received from the user to recognize the user's emotions (anxiety, relief, confusion, etc.).

[2013] The recognized emotion information is sent to the server.

[2014] ---

[2015] Step 7:

[2016] server

[2017] Based on emotional information from the emotion engine, a customized manual is generated according to the matching and analysis results. This manual details specific operating procedures, precautions, and identified risk points.

[2018] Depending on the user's emotions, important notes and warnings should be highlighted as needed (e.g., bolding notes if the user is feeling anxious).

[2019] ---

[2020] Step 8:

[2021] server

[2022] Convert the generated customized manual to PDF format and prepare it for transmission to the user's device.

[2023] ---

[2024] Step 9:

[2025] server

[2026] Send the completed PDF manual to the user's device.

[2027] ---

[2028] Step 10:

[2029] terminal

[2030] The received PDF manual is displayed to the user, and a download link is provided.

[2031] ---

[2032] Step 11:

[2033] User

[2034] Refer to the provided PDF manual and perform any necessary equipment replacement or maintenance work.

[2035] ---

[2036] The above outlines the specific processing steps of the system that combines the emotion engine.

[2037] (Example 2)

[2038] 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".

[2039] There is a problem in that users cannot perform tasks safely and efficiently when replacing or maintaining equipment using only the information in existing manuals. Furthermore, manuals that do not consider the user's emotional state cannot alleviate user anxiety.

[2040] 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.

[2041] In this invention, the server includes means for receiving user input information, means for comparing it with specification and manual information in a database, means for analyzing information on past operational errors and equipment accidents and extracting risk points, means for recognizing emotions from user input information, means for generating a customized manual based on the matching and analysis results and emotion information, and means for converting the generated customized manual into PDF format and providing it to the user. This makes it possible to provide a customized manual that takes into account the user's input information and emotions, thereby supporting safe and efficient work.

[2042] "User input information" refers to information provided by the user to the system, including the model number, type, and specifications of the device, as well as requests for replacement work or maintenance.

[2043] A "database" is a collection of digital information used to store equipment specifications, manuals, and records of past operational errors and equipment accidents.

[2044] A "specification sheet" is a document that describes the detailed specifications, functions, and usage instructions of a particular device.

[2045] A "manual" is a document that includes guidelines explaining the operation procedures and maintenance methods of a device.

[2046] "Operation error" refers to a record of human error or improper operation that occurred during the operation of equipment.

[2047] "Equipment accidents" are records of equipment malfunctions or problems that occur.

[2048] A "danger point" is an area that requires special attention during the operation or maintenance of equipment, based on analysis of past data.

[2049] An "emotion engine" is a system that analyzes and recognizes emotions from text or voice input by the user.

[2050] A "customized manual" is a manual created by customizing the operating procedures and precautions for a specific device based on user input and emotional information.

[2051] "PDF format" is an electronic document format that converts generated documents into a form that users can easily view and download.

[2052] This invention is a system in which, upon receiving information from a user about equipment requiring replacement or maintenance, the system compares this information with specifications and manuals in a database, analyzes records of past operational errors and equipment accidents to extract risk points, and generates and provides a customized manual to the user. Furthermore, by incorporating an emotion engine that recognizes the user's emotions, the system provides a customized manual tailored to the user's feelings.

[2053] System Configuration

[2054] A system primarily consists of three elements: servers, terminals, and users.

[2055] Database Construction

[2056] server

[2057] The server will build a database to store equipment specifications, manuals, and records of past operational errors and equipment accidents.

[2058] The database contains detailed specifications, operating procedures, and associated hazards for each device.

[2059] Receiving user input information

[2060] terminal

[2061] It provides an interface for users to input information about the equipment they wish to replace or maintain. The interface includes fields for entering the equipment model number, type, and details of the replacement or maintenance request.

[2062] User

[2063] Users use their devices to enter the necessary information into fields and send the data to the server by clicking / tapping the submit button.

[2064] Matching and analysis

[2065] server

[2066] The server receives device information sent by the user and compares it with the information in the database. It identifies the relevant specifications and operation manuals, searches for records of past operational errors and equipment accidents, and identifies related risk points.

[2067] Emotion recognition by an emotion engine

[2068] terminal

[2069] The terminal provides a function that recognizes the user's emotions from text or voice input when the user enters device information.

[2070] Emotional Engine

[2071] The emotion engine analyzes emotions from text and voice input by the user and sends the emotion data to the server.

[2072] Generating a customized manual

[2073] server

[2074] The server generates a customized manual related to a specific device based on the matching and analysis results, as well as emotional information.

[2075] The manual will detail specific operating procedures, precautions, and identified hazards. It will also include emphasis on important precautions and warnings, tailored to the user's perspective.

[2076] Provision of customized manuals

[2077] server

[2078] The server converts the generated customized manual into PDF format and sends it to the user's device.

[2079] terminal

[2080] The terminal displays the transmitted PDF manual to the user and provides a download link.

[2081] Specific example

[2082] Scenario: Replacing the antenna equipment at a base station

[2083] User input

[2084] The user enters "information for replacing antenna device model number XZ-123" into the terminal and inputs any concerns about the replacement process as text or voice.

[2085] emotion recognition

[2086] The emotion engine recognizes the emotion "anxiety," and the emotional information is sent to the server.

[2087] Matching and Analysis

[2088] The server searches the database for specifications and manuals related to the XZ-123 antenna device. Simultaneously, it searches for records of related past operational errors and equipment accidents, identifying accident data caused by "misuse of tools" and "failure to follow power-off procedures."

[2089] Manual generation

[2090] Based on this information, the server generates a customized manual that includes specific operating procedures and precautions. Important precautions are highlighted in bold or color based on the user's concerns.

[2091] Provision and notification

[2092] The server sends the generated manual in PDF format to the user's device and sends a notification. The device displays a button that says "Download here."

[2093] Examples of prompts to input into a generative AI model

[2094] "I'm unsure about the procedure for replacing the antenna unit, model number XZ-123. Please provide a customized manual that includes specific operating procedures and precautions."

[2095] This invention allows users to receive a customized manual based on the information and emotions they input, enabling them to efficiently and safely replace or maintain equipment.

[2096] The flow of the specific processing in Example 2 will be explained using Figure 13.

[2097] Step 1:

[2098] Database Construction

[2099] server

[2100] The server first builds a database to store equipment specifications, manuals, and records of past operational errors and equipment accidents. This database registers detailed specifications, operating procedures, and associated risk factors for each piece of equipment. For example, the server uploads the specification sheet, operation manual, and past accident reports for a "Type XYZ device" as input data and stores them in the database.

[2101] Step 2:

[2102] Receiving user input information

[2103] terminal

[2104] The terminal provides an interface for users to input information about the equipment they wish to replace or maintain. For example, it can be configured to allow users to enter the equipment's model number, type, and details of the replacement or maintenance request in a form. The input data might be something like "Replace parts for machine A123".

[2105] User

[2106] The user uses their device to enter the necessary information into the fields and sends the data to the server by clicking / tapping the submit button. Specifically, they would enter "Replace parts for machine A123" and submit it.

[2107] Step 3:

[2108] Input data verification and analysis

[2109] server

[2110] The server receives device information sent by the user and compares it with the information in the database. If the input data relates to "Machine A123," it identifies and extracts the relevant specifications and operation manuals from the database. It also searches for records of past operational errors and equipment accidents to identify related risk points.

[2111] operation

[2112] The server extracts the spec sheet and manual for "Machine A123," as well as past accident data related to "misuse of tools" and "failure to follow power-off procedures," as analysis data.

[2113] Step 4:

[2114] Emotion recognition by an emotion engine

[2115] terminal

[2116] The terminal provides a function that recognizes the user's emotions from text or voice input when the user enters device information. For example, the user might input, "I feel anxious about this task."

[2117] Emotional Engine

[2118] The emotion engine analyzes emotions from text and voice input by the user and sends the recognized emotion data to the server. Specifically, it identifies the emotion of "anxiety."

[2119] operation

[2120] The emotion engine outputs "anxiety" as an analysis result and sends it to the server.

[2121] Step 5:

[2122] Generating a customized manual

[2123] server

[2124] The server generates a customized manual for a specific device based on analysis results and sentiment information. This manual details specific operating procedures, precautions, and identified hazards. Furthermore, it emphasizes important precautions and warnings according to the user's sentiment. For example, it might highlight "Always follow the power-off procedure" in bold and add reassuring wording.

[2125] operation

[2126] The server customizes the "Machine A123 Replacement Procedure Manual" and outputs it with the following points highlighted: "Always follow the power-off procedure" and "Correct use of tools."

[2127] Step 6:

[2128] Provision of customized manuals

[2129] server

[2130] The server converts the generated customized manual into PDF format and sends it to the user's terminal. Specifically, it prepares the "Replacement Procedure Manual for Machine A123" as a PDF for transmission.

[2131] terminal

[2132] The terminal displays a PDF manual sent from the server to the user and provides a download link. For example, a button labeled "Download Here" might appear on the user's screen.

[2133] operation

[2134] The user clicks "Download here" to download the PDF manual.

[2135] (Application Example 2)

[2136] 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".

[2137] In factories and industrial settings, equipment replacement and maintenance are tasks requiring advanced skills and meticulous attention, and there is a high risk of equipment accidents due to incorrect operation or past operational errors. Therefore, providing accurate manuals is essential, and the emotional state of the worker can also have an impact. Considering these factors, customized manuals tailored to each worker's situation and real-time support are required to improve work efficiency and safety. However, conventional systems have struggled to meet these requirements.

[2138] 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.

[2139] In this invention, the server includes means for receiving user input information, means for comparing specification and manual information in a database based on the user input information, means for analyzing information on past operational errors and equipment accidents in the database and extracting risk points, means for recognizing the user's emotions, means for further customizing the customized manual based on the user's emotional information, and means for providing the generated customized manual to the user. This makes it possible to provide accurate and safe work procedures tailored to the individual worker's situation and emotional state, thereby improving work efficiency and safety.

[2140] "User input information" refers to information about the equipment that the user wishes to replace or maintain, specifically including the equipment's model number, type, and the details of the work request.

[2141] A "database" is an information aggregation system that stores records including equipment specifications, manuals, and information on operational errors and equipment accidents.

[2142] "Verification" refers to the process of searching for and matching the corresponding device information in the database based on user input.

[2143] "Analysis" is the process of identifying risk points by analyzing information on past operational errors and equipment accidents in a database.

[2144] A "customized manual" is an operation guide optimized for a specific device or work procedure based on user input information and related analysis results.

[2145] "Emotion recognition means" refers to technology that analyzes and recognizes emotions from user input or voice.

[2146] A "smart device" refers to an interface terminal that includes wearable technology for displaying information in real time, such as smart glasses and smartphones.

[2147] This invention provides a system for performing equipment replacement and maintenance work in factories and industrial sites more safely and efficiently. Specifically, it generates and provides customized manuals by comparing and analyzing user input information and sentiment information with specifications and manuals in a database. This system consists of the following main elements.

[2148] 1. Receiving user input information

[2149] The user uses a terminal to input information about the equipment they want to replace or maintain. Specifically, this information is entered via voice or text into a smart device such as smart glasses. For example, "I want to replace the robot arm, model number TSUN-567." The system also recognizes the user's emotions regarding the task.

[2150] 2. Database Construction and Search

[2151] The server has a database that stores equipment specifications, manuals, and information on past operational errors and equipment accidents. The server receives equipment information sent by the user, searches the database for the relevant specifications and manuals, and identifies potential hazards. This can be done using, for example, an SQL database or a NoSQL database.

[2152] 3. Recognition of emotions

[2153] Emotion recognition uses an emotion engine. It analyzes the user's voice and text input to recognize emotions. For example, if the user is feeling anxious, the emotion "anxiety" will be recognized. This information is sent to a server and used to generate customized manuals. Software used includes, for example, "IBM Watson Tone Analyzer API" and "Google Cloud Speech-to-Text API".

[2154] 4. Generating a customized manual

[2155] The server generates a customized manual based on the matching and analysis results, as well as the emotion recognition results. This manual details operating procedures, precautions, and potential hazards. Important precautions are also highlighted according to the recognized emotion. For example, for users experiencing anxiety, sections requiring special attention are highlighted in bold or a different color.

[2156] 5. Provision of customized manuals

[2157] The generated customized manual is converted to PDF format and sent to the user's device. The user can then proceed with their work while viewing the manual displayed on their device in real time. This improves safety and efficiency in specific tasks.

[2158] Specific example

[2159] Let's consider a scenario where a factory worker, wearing smart glasses, performs a robotic arm replacement task. In this case, the user gives a voice command saying, "I want to replace robotic arm model number TSUN-567." The emotion engine recognizes the emotion "anxiety," and the server searches the database for the relevant manual information. Based on the retrieved information, a customized manual like the one below is generated and displayed on the user's smart glasses.

[2160] Example of a prompt

[2161] The user is wearing smart glasses. Currently, a robotic arm replacement is being performed. The user is feeling anxious about the task and has said via voice input, "I want to know the procedure for replacing the robotic arm." In this case, please respond as follows:

[2162] The procedure for replacing the TSUN-567 robotic arm is as follows:

[2163] 1. Turn off the main power switch.

[2164] 2. Attach the safety device.

[2165] 3. Disconnect the connecting cable.

[2166] 4. Remove the old arm.

[2167] Danger point: Always wear insulated gloves when disconnecting connecting cables.

[2168] (Caution) This task requires special attention. Please proceed with caution.

[2169] This prompt provides specific guidance to help the user safely perform a particular task. By utilizing a generative AI model, it can respond flexibly to the user's situation.

[2170] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[2171] Step 1:

[2172] The user uses a terminal (smart device) to input information about the equipment they wish to replace or maintain.

[2173] Input: Device model number, model, work request details, and emotional state (voice or text)

[2174] Specific actions: The user voice-inputs "I want to replace the robot arm model number TSUN-567" into the terminal and adds "I am feeling uneasy."

[2175] Step 2:

[2176] The terminal sends the entered information to the server.

[2177] Input: User voice input and text input

[2178] Output: Device information and emotion information sent to the server

[2179] Specific operation: The application on the device converts the voice input into text and sends the generated data to the server.

[2180] Step 3:

[2181] The server searches the database to retrieve specifications and manuals that match the entered device information.

[2182] Input: Device model number and model information

[2183] Output: Data from the relevant specifications and manuals.

[2184] Specific operation: The server's search algorithm searches the database for device information and retrieves matching information.

[2185] Step 4:

[2186] The server analyzes records of past operational errors and equipment accidents to extract risk points associated with specific equipment.

[2187] Input: Data on operational errors and equipment accidents

[2188] Output: Extracted danger points

[2189] Specific operation: The server uses machine learning algorithms to identify risk points from existing data in the database.

[2190] Step 5:

[2191] The server uses an emotion engine to analyze the user's emotional information and adjusts the content of the customized manual based on this analysis.

[2192] Input: User sentiment information

[2193] Output: Customized manual content tailored to emotions

[2194] Specific operation: The emotion engine analyzes the input audio or text and provides the server with emotional information such as "anxiety."

[2195] Step 6:

[2196] The server generates a customized manual based on the matching and analysis results, as well as information from the emotion engine.

[2197] Input: Matching results, analysis results, sentiment information

[2198] Output: Completed customized manual

[2199] Specific operation: The server uses templates to generate customized manuals tailored to specific devices and emotions.

[2200] Step 7:

[2201] Convert the generated customized manual to PDF format and send it to the device.

[2202] Input: Customized manual

[2203] Output: PDF file

[2204] Specific operation: The server converts the generated manual into PDF format and sends the data to the terminal.

[2205] Step 8:

[2206] The terminal displays customized manuals to the user in real time, allowing them to work safely.

[2207] Input: Customized manual in PDF format

[2208] Output: Manual displayed on the terminal's screen

[2209] Specific action: The application on the device opens the PDF file and displays it in the user's field of view.

[2210] 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.

[2211] 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.

[2212] In the above embodiment, an example was given in which the 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.

[2213] 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.

[2214] 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.

[2215] 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.

[2216] 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.

[2217] 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.

[2218] 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."

[2219] 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.

[2220] 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.

[2221] 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.

[2222] 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.

[2223] 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.

[2224] 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.

[2225] 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.

[2226] 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.

[2227] 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.

[2228] 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.

[2229] 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.

[2230] 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.

[2231] The following is further disclosed regarding the embodiments described above.

[2232] (Claim 1)

[2233] A means of receiving user input information,

[2234] A means for comparing the specifications and manual information in the database based on the user input information,

[2235] A means for analyzing past operational errors and equipment accident information in the aforementioned database and extracting risk points,

[2236] Means for generating a customized manual based on the aforementioned matching and analysis results,

[2237] Means for providing the generated customized manual to the user,

[2238] A system that includes this.

[2239] (Claim 2)

[2240] The system according to claim 1, which converts the customized manual into PDF format and provides it to the user.

[2241] (Claim 3)

[2242] The system according to claim 1, wherein the user input information includes the model number, type, and details of the replacement work or maintenance request for the device.

[2243] "Example 1"

[2244] (Claim 1)

[2245] A means of receiving user input information,

[2246] A means for comparing information on technical specifications and operating instructions in a database based on the user input information,

[2247] A means for analyzing information on past operational failures and equipment accidents in the aforementioned database and extracting safety risk points,

[2248] Means for generating customized operating instructions based on the aforementioned matching and analysis results,

[2249] Means for providing the user with the generated customized operating instructions,

[2250] ...

[2251] A system that includes this.

[2252] (Claim 2)

[2253] The system according to claim 1, which converts the customized operating instructions into an electronic document format and provides them to the user.

[2254] (Claim 3)

[2255] The system according to claim 1, wherein the user input information includes the device's identification number, model, type, and the details of the replacement work or maintenance request.

[2256] "Application Example 1"

[2257] (Claim 1)

[2258] A means of receiving user input information,

[2259] A means for comparing the specifications and manual information in the database based on the user input information,

[2260] A means for analyzing past operational errors and equipment accident information in the aforementioned database and extracting risk points,

[2261] Means for generating a customized manual based on the aforementioned matching and analysis results,

[2262] Means including a display device for visually displaying the generated customized manual in real time,

[2263] Means for enabling the user to operate the device without using their hands, using the aforementioned display device,

[2264] A system that includes this.

[2265] (Claim 2)

[2266] The system according to claim 1, which converts a customized manual into PDF format and provides it, and displays it visually in real time.

[2267] (Claim 3)

[2268] The system according to claim 1, wherein user input information includes the model number, type, and details of replacement work or maintenance requests for the device, and provides real-time visual guidance.

[2269] "Example 2 of combining an emotion engine"

[2270] (Claim 1)

[2271] A means of receiving user input information,

[2272] A means for comparing the specifications and manual information in the database based on the user input information,

[2273] A means for analyzing past operational errors and equipment accident information in the aforementioned database and extracting risk points,

[2274] A means for recognizing emotions from the aforementioned user input information,

[2275] Means for generating a customized manual based on the aforementioned matching and analysis results and sentiment information,

[2276] A means of converting the generated customized manual into PDF format and providing it to the user,

[2277] A system that includes this.

[2278] (Claim 2)

[2279] The system according to claim 1, wherein the user input information includes the model number, type, and details of the replacement work or maintenance request for the device.

[2280] (Claim 3)

[2281] The system according to claim 1, which highlights important notes and warnings in a customized manual based on the aforementioned emotional information.

[2282] "Application example 2 when combining with an emotional engine"

[2283] (Claim 1)

[2284] A means of receiving user input information,

[2285] A means for comparing the specifications and manual information in the database based on the user input information,

[2286] A means for analyzing past operational errors and equipment accident information in the aforementioned database and extracting risk points,

[2287] Means for generating a customized manual based on the aforementioned matching and analysis results,

[2288] A means to recognize the user's emotions and a means to further customize the customized manual based on the user's emotional information,

[2289] Means for providing the generated customized manual to the user,

[2290] A system that includes this.

[2291] (Claim 2)

[2292] The system according to claim 1, which converts the customized manual into PDF format and provides it to the user.

[2293] (Claim 3)

[2294] The system according to claim 1, which displays the customized manual in real time using a smart device to assist the user's work. [Explanation of symbols]

[2295] 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 receiving user input information, A means for comparing the specifications and manual information in the database based on the user input information, A means for analyzing past operational errors and equipment accident information in the aforementioned database and extracting risk points, Means for generating a customized manual based on the aforementioned matching and analysis results, Means for providing the generated customized manual to the user, A system that includes this.

2. The system according to claim 1, which converts the customized manual into PDF format and provides it to the user.

3. The system according to claim 1, wherein the user input information includes the model number, type, and details of the replacement work or maintenance request for the device.

Images