system

Abstract

We provide the system. [Solution] A means of collecting data to accumulate the knowledge and experience of experienced workers, A summarization means that uses collected data to summarize information, A diagram generation means for visually displaying summarized information, Interaction tools that respond to user questions to support knowledge transfer, A means of adaptive learning to collect user feedback and improve system performance, A system that includes this.

Description

【Technical Field】 【0001】 The technology of the present disclosure relates to a system. 【Background Art】 【0002】 Patent Document 1 discloses a persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document 1】 Japanese Patent Application Laid-Open No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 In the maintenance work of a mobile phone network, there is a problem that the lack of inheritance of technology and knowledge due to the aging and retirement of workers reduces the responsiveness. As a result, it becomes difficult to respond quickly in case of disasters or failures, affecting the stability of communication services. As a solution to this, there is a demand for constructing an efficient knowledge inheritance system for new-generation workers to easily acquire necessary information and improve their response ability. 【Means for Solving the Problems】 【0005】 This invention solves this problem by providing a data collection means for efficiently collecting the knowledge and experience of experienced workers. Furthermore, by providing means for summarizing the collected data and generating visually easy-to-understand diagrams, it enables the next generation of workers to access necessary information in real time. In addition, by introducing an adaptive learning means that responds to worker questions through interaction means and improves system performance based on feedback, it is possible to always provide the latest and most optimal information. This realizes a system that promotes the transfer of worker knowledge and significantly improves responsiveness and service stability. 【0006】 An "experienced worker" is a technician who has been engaged in the work for many years and possesses deep knowledge and extensive practical experience. 【0007】 "Data collection means" refers to methods and devices for systematically collecting and storing the knowledge and experience of workers. 【0008】 A "summarization tool" is a technique or device for extracting important points from a vast amount of information and summarizing them concisely. 【0009】 "Diagram generation means" refers to a method or device that automatically generates diagrams, charts, or flowcharts in order to make extracted information visually easy to understand. 【0010】 "Interaction means" are methods that enable dialogue between the user and the system and respond to the user's questions. 【0011】 "Adaptive learning methods" refer to techniques that allow a system to continuously improve the accuracy of information provided by incorporating feedback from users. 【0012】 "Remote communication means" refers to communication technologies and devices for sending and receiving information between a remote terminal and a server. 【0013】 "Update methods" refer to methods for updating the system's knowledge base with new information based on the latest technical documentation and feedback from the field. [Brief explanation of the drawing] 【0014】 [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This 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] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This 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] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This 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] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined. 【Embodiments for Carrying Out the Invention】 【0015】 Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings. 【0016】 First, the terms used in the following description will be explained. 【0017】 In the following embodiments, a 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. 【0018】 In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0019】 In the following embodiments, a 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. 【0020】 In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark). 【0021】 In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or." 【0022】 [First Embodiment] 【0023】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0024】 As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server. 【0025】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0026】 The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52. 【0027】 The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input. 【0028】 The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor. 【0029】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54. 【0030】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0031】 As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30. 【0032】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0033】 In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0034】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0035】 This invention is a system for facilitating the transfer of knowledge in mobile phone network maintenance work and improving responsiveness in the event of disasters or failures. This system functions effectively through three main components: a server, terminals, and users. 【0036】 Server Role 【0037】 The server first collects technical documents and work logs from experienced workers and systematically stores them using data collection tools. This process utilizes natural language processing techniques to structure the workers' knowledge and experience in a user-friendly format. Next, the server analyzes the vast amount of information using summarization tools, extracting key information and generating summaries. Furthermore, the server employs diagram generation tools to provide the extracted information as easily understandable flowcharts and charts. This information is then delivered in real time to terminals, as described later. 【0038】 Terminal role 【0039】 The terminal provides an operating interface for users working in the field. The terminal receives information delivered from the server and displays it in a format optimized for the user. Questions and feedback from the user are sent to the server through interaction mechanisms, and responses are received immediately. At this time, the terminal uses remote communication means to achieve seamless communication with the server. This allows users to obtain the information necessary for solving problems in the field in real time. 【0040】 User roles 【0041】 Users quickly solve problems by utilizing the summary information and diagrams provided on their devices. The feedback provided by users is sent to the server via adaptive learning mechanisms and used for subsequent analysis. This allows the server to automatically update its knowledge base based on the latest feedback, enabling more accurate and efficient information provision. 【0042】 Specific example 【0043】 As a concrete example, consider a scenario where a power outage occurs at a base station. The server immediately retrieves data on past power outages and generates a summary and diagram of the troubleshooting steps. The terminal displays this to the user, and the user can receive further information by sending additional questions to the server as needed. After the user resolves the problem, they input feedback about the procedure into the terminal, and the server incorporates this information to prepare for future outages. 【0044】 Thus, the system of the present invention can effectively utilize the knowledge accumulated by workers and provide timely and accurate information to the next generation of workers, thereby significantly improving the responsiveness in the maintenance of mobile phone networks. 【0045】 The following describes the processing flow. 【0046】 Step 1: 【0047】 The server analyzes collected technical documents and worker logs, and uses natural language processing technology to systematize the data. In this process, it extracts important metadata and knowledge elements and stores them in a data library. 【0048】 Step 2: 【0049】 The server extracts key information from the analyzed data using summarization techniques. It organizes and concisely summarizes the extracted information. The summarization process prioritizes extracting information particularly suitable for field use. 【0050】 Step 3: 【0051】 The server utilizes diagram generation methods to make summarized information visually easy to understand. Through these methods, information is automatically generated as charts and flowcharts, making it easy for users to comprehend. 【0052】 Step 4: 【0053】 The server uses remote communication to send the generated summary information and diagrams to the terminal. This enables real-time information delivery and immediate user access. 【0054】 Step 5: 【0055】 The terminal presents information received from the server to the user. The terminal displays the information using an appropriate interface so that the user can intuitively understand it. 【0056】 Step 6: 【0057】 Users will use the information displayed on their device to solve problems on-site. If necessary, they can request further information or solutions and send questions to the server via their device. 【0058】 Step 7: 【0059】 The server responds to user inquiries through interactive means and provides additional information. The responses are based on the latest information retrieved from relevant databases. 【0060】 Step 8: 【0061】 After the user resolves the problem, they use their device to send feedback to the server about their experience and the steps they took. 【0062】 Step 9: 【0063】 The server analyzes the received feedback using adaptive learning methods and updates the system's knowledge base. This improves the overall accuracy of the system so that it can respond better the next time a problem occurs. 【0064】 (Example 1) 【0065】 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." 【0066】 In mobile phone network maintenance work, it is necessary to promote the transfer of knowledge and experience among workers to enable a swift and accurate response in the event of disasters or failures, and in particular, to strengthen on-site problem-solving capabilities. However, currently, the efficiency of knowledge transfer is insufficient, resulting in delays and errors in responses. 【0067】 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. 【0068】 In this invention, the server includes an information gathering device means for accumulating the knowledge and experience of workers, an information analysis device means for extracting key points from the collected information, and a display generation device means for visually representing the analyzed information. This enables rapid and accurate problem solving on-site. 【0069】 An "information gathering device" is a device or system for efficiently accumulating the knowledge and experience of workers. 【0070】 An "information analysis device" is a device or system that automatically extracts and organizes important points from collected information. 【0071】 A "display generation device" is a device or system for representing analyzed information in an easily understandable visual format. 【0072】 A "dialogue device" is a device or system that has an interface that responds to inquiries from users and provides appropriate knowledge. 【0073】 An "adaptive learning device" is a device or system that continuously improves the accuracy of a system based on evaluations and feedback from users. 【0074】 A "communication device" is a network-connected device that enables users to access information quickly and directly on-site. 【0075】 An "update device" is a device or system for effectively updating knowledge resources based on technical documentation and feedback. 【0076】 The system of this invention aims to improve work efficiency by enabling the rapid and accurate provision of information during maintenance work on mobile phone networks. Specific embodiments for carrying out the invention are shown below. 【0077】 Server Role 【0078】 The server first collects technical documents and work logs obtained from experienced workers. This collection uses an information gathering device that implements natural language processing technology. Specifically, it uses software such as Python's NLTK library and spaCy to convert the collected information into an organized format. The server uses a generative AI model to analyze important information from the collected data and generate a summary. For this generative AI model, it utilizes a model from OpenAI® and uses prompts such as "Please create a summary of past power supply problems." 【0079】 Furthermore, the server generates charts and graphs to visualize the information analyzed using the information analysis device. Tools such as Graphviz and D3.js are used for visualization. This ensures that the information is presented in a visually easy-to-understand manner. This visualized information is then delivered to terminals in the field in real time. 【0080】 Terminal role 【0081】 The terminal receives summary information and diagrams transmitted from the server and displays them in a format optimized for the user. The terminal communicates with the server using a 4G / 5G network, exchanging data in real time. The user interface uses a web-based dashboard built with HTML5 and CSS3, employing responsive design to enable use on a variety of devices. Questions and feedback from users are sent to the server via a dialogue device, allowing for immediate responses. 【0082】 User roles 【0083】 Users can utilize information provided through their terminals to solve problems on-site. Users can input additional questions as text to the server and receive instructions and detailed information from the server. After solving a problem, they input feedback into their terminal and send it to the server via the system's adaptive learning mechanism. This feedback is crucial for updating the server's knowledge resources and contributes to improving the accuracy of future information provision. 【0084】 As described above, the system of this invention can significantly improve work efficiency and responsiveness in maintenance work on mobile phone networks. 【0085】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0086】 Step 1: 【0087】 The server collects technical documents and work logs provided by workers using an information gathering device. It accepts PDF and text-based document data as input, analyzes it using natural language processing technology, and outputs it as structured data. Specifically, it uses Python's NLTK library and spaCy to analyze the grammatical structure of the text and tag important information. 【0088】 Step 2: 【0089】 The server uses a generative AI model to automatically extract key points from collected data and generate a summary. Structured data is used as input, and the prompt output to the generative AI model (an OpenAI model) is "Create a summary of past power supply problems." Specifically, the model generates the summarized information through natural language generation. 【0090】 Step 3: 【0091】 The server uses an information analysis device to create diagrams based on the generated summaries. It receives text-based summary information as input and outputs visualized charts and graphs using diagram generation tools (such as Graphviz or D3.js). Specifically, it generates flowcharts and interactive graphs, converting information into a format that is easy to understand intuitively. 【0092】 Step 4: 【0093】 The terminal receives summary information and diagrams transmitted from the server and displays them to the user. It receives real-time data from the server as input, converts it to a display format for the terminal, and outputs it. Specifically, it uses responsive design with HTML5 and CSS3 to display the data appropriately on various devices. 【0094】 Step 5: 【0095】 The user uses a terminal on-site to check necessary information and sends additional questions to the server in text format. The user inputs specific problems or questions into the terminal's interface and receives detailed information from the server as output. For example, the user might input "Please provide additional information about the procedure for △△," and the server would perform further analysis to provide the additional information. 【0096】 Step 6: 【0097】 After a user solves a problem, they input feedback into a terminal, and the server processes that feedback via an adaptive learning device. The server receives user-provided feedback data as input and saves it as output for updating knowledge resources. Specifically, it analyzes the feedback and uses it to improve the system's information provision in future instances. 【0098】 (Application Example 1) 【0099】 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." 【0100】 In industrial robot operations, rapid and accurate responses to malfunctions are required. Conventional methods make it difficult to collect and share information in real time on-site, hindering the efficient utilization of the knowledge of experienced workers. The objective of this invention is to solve this problem and improve the efficiency and safety of robot operations. 【0101】 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. 【0102】 In this invention, the server includes data storage means for accumulating the knowledge and experience of experienced workers, information organization means for summarizing information using the accumulated data, and visualization generation means for visually displaying the summarized information. This makes it possible to quickly provide countermeasures information based on past cases when an industrial robot malfunctions. 【0103】 A "data storage method" is a method for collecting and efficiently storing the knowledge and experience of experienced workers. 【0104】 "Information organization methods" refer to methods of analyzing accumulated data and summarizing the information in an easily usable format. 【0105】 A "visualization generation method" is a technique for displaying summarized information in a visually easy-to-understand format. 【0106】 "Dialogue methods" refer to means of providing appropriate responses to user inquiries and supporting knowledge transfer. 【0107】 "Adaptive learning methods" are techniques for improving system performance by utilizing feedback from users. 【0108】 "Fault response support measures" are means of providing information on countermeasures based on past cases when industrial robots experience malfunctions, thereby improving work efficiency. 【0109】 "Remote communication means" refers to methods of remote communication that provide users with information that can be quickly accessed even at the work site. 【0110】 "Data update methods" refer to techniques for updating knowledge bases based on technical documentation and feedback from workers to maintain up-to-date information. 【0111】 An "optimization method" is a method aimed at improving work efficiency through fault countermeasure support methods. 【0112】 In this invention, the server first collects knowledge from experienced workers using data storage means and systematically stores it in a database. The collected data is analyzed and summarized by information organization means. This summarized information is generated as charts and flowcharts using visualization generation means and immediately distributed to terminals. The terminals play the role of displaying this information in an optimal format so that field users can easily access it. 【0113】 Furthermore, the system incorporates interactive features, enabling it to respond to user inquiries in real time. Additionally, user feedback is collected through adaptive learning mechanisms and continuously analyzed by the server. This ensures the system's knowledge base is always up-to-date, facilitating future troubleshooting. 【0114】 As a concrete example, consider a situation where a robotic arm used on a factory assembly line malfunctions. In this case, the user of the terminal activates the system on their smartphone and enters prompts related to the situation. Based on past failure data, the server summarizes the optimal solution and displays it on the terminal. An example of a prompt would be, "Please tell me the optimal solution based on past cases regarding a motor failure in a factory robotic arm." 【0115】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0116】 Step 1: 【0117】 The server collects knowledge and work logs from experienced workers through data storage mechanisms. Input is knowledge information from workers, and output is storage in a database in a structured data format. The data is efficiently stored using SQL. 【0118】 Step 2: 【0119】 The server analyzes the accumulated data using information organization tools and summarizes the important information. The input is raw data from the database, and the output is summarized information. Data summarization is performed using the natural language processing library NLTK, and the essence of the information is extracted. 【0120】 Step 3: 【0121】 The server uses visualization generation tools to convert summary information into flowcharts and charts. The input is summarized text information, and the output is image data in a visually easy-to-understand format. Matplotlib is used for visualization, and the results are converted into a format that can be delivered to the terminal. 【0122】 Step 4: 【0123】 The terminal displays visualization data sent from the server to the user in the field. The input is image data received from the server, and the output is a visual display on the user's mobile device screen. React Native is used to display the data in the user interface. 【0124】 Step 5: 【0125】 The user performs troubleshooting based on information displayed on the device. The input is the solution information displayed on the device screen, and the output is the result of the actual repair work. The user's actions contribute to resolving the problem. 【0126】 Step 6: 【0127】 After completing a task, the user enters feedback into a terminal and sends it to the server. The input is user feedback data, and the output is data sent to the server. Feedback input is possible through the terminal's interface. 【0128】 Step 7: 【0129】 The server analyzes user feedback using adaptive learning methods and updates its knowledge base. The input is feedback data, and the output is the updated knowledge base. It utilizes machine learning algorithms to optimize information based on the feedback. 【0130】 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. 【0131】 This invention combines an emotion engine with a system that improves responsiveness in mobile phone network maintenance work, thereby enabling the provision of information optimized for the user's situation. This system is based on three elements: server, terminal, and user, and each element functions in cooperation with the others. 【0132】 Server Role 【0133】 The server systematically collects knowledge from experienced workers. It analyzes technical documents and work logs using natural language processing technology and creates a database through data collection methods. Next, summarization methods are used to extract key knowledge from the vast amount of information and store it as a summary. Diagram generation methods visualize the summarized information and prepare it as flowcharts and charts. Furthermore, an emotion engine is used to recognize the user's emotional state and appropriately adjust the service content. This information is transmitted to the terminal via remote communication methods to respond to the user's immediate needs. 【0134】 Terminal role 【0135】 The terminal receives information sent from the server and has an interface that presents appropriate information according to the user's situation. Crucial to this is the coordination between the interaction method and the emotion engine. The terminal recognizes the user's emotions in real time from their facial expressions and voice, and flexibly changes the way information is provided while communicating with the server. This makes it possible to provide more careful and easy-to-understand explanations if the user is feeling anxious or stressed. 【0136】 User roles 【0137】 Users use a terminal to troubleshoot problems on-site. The steps to solve the problem are visualized and intuitively understandable. Additional questions can be sent to the server for answers as needed. After use, users input feedback on their experience and the process of resolving the problem into the terminal, which is then sent to the server via adaptive learning. 【0138】 Specific example 【0139】 As a concrete example, consider a scenario where a user is facing a base station experiencing a communication failure. If the user's emotions are perceived as negative, such as "frustration" or "anxiety," the device will provide more detailed guides and video summaries to help facilitate problem-solving. Conversely, if the user remains calm, the device will provide concise information to encourage efficient responses. When the user submits feedback, it is analyzed by the emotion engine and used to improve the quality of future information provision. 【0140】 The system realized by this invention enables the transfer of knowledge among workers while simultaneously providing flexible information that takes emotions into consideration, thereby significantly improving responsiveness in maintenance work on mobile phone networks. 【0141】 The following describes the processing flow. 【0142】 Step 1: 【0143】 The server imports new technical documents and past work logs into its knowledge database and analyzes the information using natural language processing technology. It utilizes data collection methods to extract important knowledge elements and metadata and stores them in a structured format. 【0144】 Step 2: 【0145】 The server uses summarization tools to extract key points from the analyzed information and create a summary. This summary serves as the basis for subsequent diagram generation. 【0146】 Step 3: 【0147】 The server uses diagram generation technology to convert summary information into a visually easy-to-understand format. This involves creating flowcharts and illustrated procedure manuals, incorporating features to make them easily understandable to users. 【0148】 Step 4: 【0149】 The server activates an emotion engine when sending information to the terminal. Based on user feedback and past emotion data, it adjusts the method and specific content of the information provided. 【0150】 Step 5: 【0151】 The device uses an emotion sensor to detect the user's current emotional state in real time, along with information received from the server. This data is used by the emotion engine to determine the user's level of stress and anxiety. 【0152】 Step 6: 【0153】 The device selects the most appropriate way to deliver information to the user based on the judgment of its emotion engine. For example, if the user is feeling anxious, it will display a detailed guide or a step-by-step video explanation. 【0154】 Step 7: 【0155】 Users can use the information provided on their devices to address on-site problems. If necessary, they can send additional questions to the server and receive immediate answers. 【0156】 Step 8: 【0157】 After a user solves a problem, they input feedback about their experience and emotional state into the device. This feedback is sent to the server via adaptive learning and used to update the knowledge base. 【0158】 Step 9: 【0159】 The server uses adaptive learning methods to analyze newly acquired feedback data and update the system's knowledge base. This improves the quality and efficiency of information delivery in subsequent instances. 【0160】 (Example 2) 【0161】 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 will be referred to as the "terminal." 【0162】 Solving problems quickly and effectively on-site requires extensive knowledge and experience. Traditional systems suffered from insufficient information gathering and provision, and failed to consider the emotional state of users, resulting in a lack of responsiveness. Consequently, efficient troubleshooting was difficult. 【0163】 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. 【0164】 In this invention, the server includes information gathering means for accumulating knowledge and experience from workers, information summarization means for summarizing data based on the collected information, and sentiment analysis means for recognizing the emotional state of users and adjusting the information provided. This enables users in the field to quickly and accurately acquire information and respond to challenges efficiently. 【0165】 "Information gathering means" refers to a function for systematically collecting knowledge and experience from workers. 【0166】 An "information summarization tool" is a function that extracts important knowledge from collected information and summarizes it. 【0167】 A "visualization tool" is a function for visually displaying summarized information using flowcharts, charts, or other diagrams. 【0168】 "Emotional analysis tools" are functions that recognize the user's emotional state in real time and adjust the information provided accordingly. 【0169】 An "interaction mechanism" is a function that responds to questions from users and supports the transfer of knowledge through the provision of information. 【0170】 "Adaptive learning methods" are functions designed to improve system performance based on user feedback. 【0171】 "Communication means" refers to the function of remote communication that enables users to quickly access information at the site. 【0172】 The "update function" is a function that continuously updates the knowledge base based on technical documentation and feedback from workers. 【0173】 This invention is a comprehensive system for supporting on-site work, realized through the mutual cooperation of three elements: a server, a terminal, and a user. 【0174】 Server Functions 【0175】 The server utilizes a database management system to analyze technical documents and work logs from experienced workers using natural language processing technology. This allows it to collect relevant knowledge as an information gathering tool, and then extract key information using an information summarization tool. The extracted information is then prepared as flowcharts and diagrams through a visualization tool. Furthermore, the server uses sentiment analysis tools to analyze the user's emotional state in real time, enabling the provision of appropriate information. This system maintains high availability by utilizing cloud infrastructure and features an update function to continuously update the accumulated knowledge. 【0176】 Device functions 【0177】 The terminal receives information transmitted from the server and features an interface to present it in a user-friendly format. The terminal incorporates a camera and microphone as interaction tools for analyzing the user's facial expressions and voice, which are processed in real time by an emotion engine. The terminal dynamically adjusts information presentation according to the user's emotional state and situation, and enables two-way information exchange with the server via communication channels. 【0178】 User roles 【0179】 Users can efficiently solve problems on-site by operating the terminal. They can intuitively understand and use visualized procedures and detailed guides, and send additional questions to the server as needed to receive updated or supplementary information. After use, feedback is entered into the terminal, which is sent to the server through adaptive learning mechanisms, contributing to system improvement. 【0180】 Specific example 【0181】 For example, when a user troubleshoots a base station experiencing a communication failure, the server summarizes detailed steps extracted from technical documentation and sends them to the terminal. If the terminal senses the user's frustration, it effectively presents information using video summaries and audio guides. After successfully resolving the problem, the user inputs their experience as feedback into the terminal, and this data is then used by the system. 【0182】 Example of a prompt 【0183】 "We've experienced a communication failure at the base station. It's incredibly frustrating. Please send us detailed instructions." 【0184】 This system enables rapid on-site response and provides customized information tailored to individual needs, significantly improving efficiency in mobile communication network maintenance. 【0185】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0186】 Step 1: 【0187】 The server collects technical documents and work logs as information sources and analyzes them using natural language processing techniques. Input is text data from workers, which is then analyzed to identify important information. The output is a set of information for obtaining a knowledge summary. Keyword extraction and text classification algorithms are used in this process. 【0188】 Step 2: 【0189】 The server processes the generated information set using an information summarization mechanism and performs summarization. The input is the information set obtained in step 1. Based on this information, the server extracts important knowledge through a summarization algorithm. The output is the summarized information. Specifically, this process involves removing redundant parts and organizing the core information into a compact format. 【0190】 Step 3: 【0191】 The server visualizes the summary information using visualization tools. The input is the summary information obtained in step 2, which is visually represented as a flowchart or diagram. The output is visualized information that is easy for the user to understand. The specific operation includes the process of creating shapes using graphical tools and adjusting the layout. 【0192】 Step 4: 【0193】 The server analyzes the user's emotional state using emotion analysis tools. Input includes user facial expressions and voice data. Based on this data, an emotion analysis algorithm is applied to determine the user's emotions. The output is an evaluation of the emotional state. Specific operations include real-time emotion analysis using statistical and machine learning models. 【0194】 Step 5: 【0195】 The terminal presents information to the user using interaction mechanisms based on information provided by the server. The input is the information generated in steps 3 and 4, and this is used to display information in the user interface. The output presents information optimized for the user. Specific actions include a function that adjusts how information is displayed according to the user's emotional state. 【0196】 Step 6: 【0197】 Users troubleshoot on-site via a terminal. Inputs include visualized information and guides displayed on the terminal. Based on this, they assess the on-site situation and proceed with problem-solving. The output is the implementation of the solution. Specific actions include operating equipment and adjusting settings according to instructions. 【0198】 Step 7: 【0199】 Users enter feedback into a terminal after completing a task. This feedback includes comments about their experiences during the task and their problem-solving process. This feedback is analyzed by the server's adaptive learning mechanism and stored as a dataset to help improve the system. The output provides information that contributes to improving the system's performance. Specific actions include registering and submitting information on the feedback input screen. 【0200】 (Application Example 2) 【0201】 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". 【0202】 In automated factory environments, there is a need to quickly alleviate the anxiety and confusion experienced by robot operators amidst complex instructions and operations, thereby improving work efficiency and safety. However, current systems lack the ability to provide flexible information tailored to the operator's emotional state, making timely responses difficult. 【0203】 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. 【0204】 In this invention, the server includes data collection means for accumulating the knowledge and experience of experienced workers, summarization means for summarizing information using the collected data, and diagram generation means for visually displaying the summarized information. This enables real-time analysis of the operator's emotional state and the provision of information adjusted based on that state. 【0205】 "Data collection means" refers to a device or method for efficiently accumulating the knowledge and experience of experienced workers and forming an information infrastructure. 【0206】 "Summarization methods" refer to processes and devices for extracting important information from a vast amount of collected data and compiling it into an easily understandable format. 【0207】 A "diagram generation method" is a technology that visually represents summarized information so that users can understand it intuitively. 【0208】 "Interaction tools" are two-way communication technologies that respond to user questions and support the transfer of knowledge. 【0209】 "Adaptive learning methods" refer to methods and devices for continuously improving the performance of a system using feedback from users. 【0210】 "Emotion recognition means" refers to technology that analyzes the emotional state of a user, making it possible to grasp the user's emotions in real time. 【0211】 "Information provision adjustment means" refers to technologies that flexibly change the way information is provided based on emotional states, in order to provide the most optimal information. 【0212】 "Remote communication means" refers to communication technologies or devices that enable users to quickly access information they need on-site. 【0213】 "Update mechanisms" refer to systems for keeping the knowledge base up-to-date based on technical documentation and feedback from workers. 【0214】 To implement this invention, the server is equipped with data collection means for efficiently accumulating the knowledge and experience of experienced workers in an automated factory environment. The server has summarization means for summarizing information using the collected data, and uses diagram generation means to visually display the summarized information so that it can be intuitively understood by the user. The server also has emotion recognition means for analyzing the user's emotional state and information provision adjustment means for adjusting the information provided in accordance with that emotion. 【0215】 The terminal receives information transmitted from the server and provides an interface that presents appropriate information according to the user's situation. The terminal is equipped with interaction mechanisms to respond to user questions and support knowledge transfer. Furthermore, it includes adaptive learning mechanisms to collect user feedback and improve system performance. 【0216】 As a concrete example, if an operator encounters a robot malfunction on a crowded factory line, the terminal analyzes the operator's emotions using emotion recognition technology and displays detailed procedures and guides to alleviate anxiety and frustration. This adaptive measure allows the operator to quickly resolve the problem and maintain the operational efficiency of the factory line. 【0217】 An example of a prompt to input into a generative AI model might be, "Please tell me an effective way to guide an operator when they are confused." Using this prompt, the management system can have the AI ​​generate the most appropriate response for the situation. 【0218】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0219】 Step 1: 【0220】 The server acquires knowledge and experience from workers through data collection methods. Specifically, it takes logs of problems workers have dealt with in the past and technical documents as input, and stores this in a database to aggregate knowledge. The resulting output is a knowledge base rich in information. 【0221】 Step 2: 【0222】 The server extracts important information from the collected data using summarization techniques. The input is the knowledge base obtained in step 1, and the data is summarized using natural language processing technology. The output is a concise summary of key points. This allows for the efficient extraction of useful information from vast amounts of data. 【0223】 Step 3: 【0224】 The server uses a diagram generation mechanism to visually display the summarized information. It receives the summarized information created in step 2 as input and outputs it as a flowchart or diagram. This allows the information to be provided in a format that is easy for the user to understand. 【0225】 Step 4: 【0226】 The terminal receives information transmitted from the server and analyzes the user's emotions in real time using emotion recognition technology. Using facial recognition and speech recognition algorithms, it infers emotions from input image and audio data and outputs the results. This emotion data is used as the basis for subsequent information provision. 【0227】 Step 5: 【0228】 The server uses an information provision adjustment mechanism that adjusts information provision based on emotional state. It receives the emotional output obtained in step 4 as input, selects or generates appropriate information, and sends it to the terminal. This adjusts the information so that the user receives it in a form that is most easily accepted and understood. 【0229】 Step 6: 【0230】 Users proceed with their tasks based on information provided through their terminals, and send further questions to the server as needed. User input is processed in real time through interaction tools and transmitted to the server. The output is an increase in the user's knowledge and improvement in problem-solving abilities. 【0231】 Step 7: 【0232】 After completing a task, the user provides feedback, which the terminal collects through adaptive learning mechanisms and sends to the server. The feedback includes information such as the success or failure of the task and the usefulness of the information provided, and the output is data that helps update the system. 【0233】 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. 【0234】 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. 【0235】 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. 【0236】 [Second Embodiment] 【0237】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0238】 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. 【0239】 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). 【0240】 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. 【0241】 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. 【0242】 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). 【0243】 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. 【0244】 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. 【0245】 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. 【0246】 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. 【0247】 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. 【0248】 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". 【0249】 This invention is a system for facilitating the transfer of knowledge in mobile phone network maintenance work and improving responsiveness in the event of disasters or failures. This system functions effectively through three main components: a server, terminals, and users. 【0250】 Server Role 【0251】 The server first collects technical documents and work logs from experienced workers and systematically stores them using data collection tools. This process utilizes natural language processing techniques to structure the workers' knowledge and experience in a user-friendly format. Next, the server analyzes the vast amount of information using summarization tools, extracting key information and generating summaries. Furthermore, the server employs diagram generation tools to provide the extracted information as easily understandable flowcharts and charts. This information is then delivered in real time to terminals, as described later. 【0252】 Terminal role 【0253】 The terminal provides an operating interface for users working in the field. The terminal receives information delivered from the server and displays it in a format optimized for the user. Questions and feedback from the user are sent to the server through interaction mechanisms, and responses are received immediately. At this time, the terminal uses remote communication means to achieve seamless communication with the server. This allows users to obtain the information necessary for solving problems in the field in real time. 【0254】 User roles 【0255】 Users quickly solve problems by utilizing the summary information and diagrams provided on their devices. The feedback provided by users is sent to the server via adaptive learning mechanisms and used for subsequent analysis. This allows the server to automatically update its knowledge base based on the latest feedback, enabling more accurate and efficient information provision. 【0256】 Specific example 【0257】 As a concrete example, consider a scenario where a power outage occurs at a base station. The server immediately retrieves data on past power outages and generates a summary and diagram of the troubleshooting steps. The terminal displays this to the user, and the user can receive further information by sending additional questions to the server as needed. After the user resolves the problem, they input feedback about the procedure into the terminal, and the server incorporates this information to prepare for future outages. 【0258】 Thus, the system of the present invention can effectively utilize the knowledge accumulated by workers and provide timely and accurate information to the next generation of workers, thereby significantly improving the responsiveness in the maintenance of mobile phone networks. 【0259】 The following describes the processing flow. 【0260】 Step 1: 【0261】 The server analyzes collected technical documents and worker logs, and uses natural language processing technology to systematize the data. In this process, it extracts important metadata and knowledge elements and stores them in a data library. 【0262】 Step 2: 【0263】 The server extracts key information from the analyzed data using summarization techniques. It organizes and concisely summarizes the extracted information. The summarization process prioritizes extracting information particularly suitable for field use. 【0264】 Step 3: 【0265】 The server utilizes diagram generation methods to make summarized information visually easy to understand. Through these methods, information is automatically generated as charts and flowcharts, making it easy for users to comprehend. 【0266】 Step 4: 【0267】 The server uses remote communication to send the generated summary information and diagrams to the terminal. This enables real-time information delivery and immediate user access. 【0268】 Step 5: 【0269】 The terminal presents information received from the server to the user. The terminal displays the information using an appropriate interface so that the user can intuitively understand it. 【0270】 Step 6: 【0271】 Users will use the information displayed on their device to solve problems on-site. If necessary, they can request further information or solutions and send questions to the server via their device. 【0272】 Step 7: 【0273】 The server responds to user inquiries through interactive means and provides additional information. The responses are based on the latest information retrieved from relevant databases. 【0274】 Step 8: 【0275】 After the user resolves the problem, they use their device to send feedback to the server about their experience and the steps they took. 【0276】 Step 9: 【0277】 The server analyzes the received feedback using adaptive learning methods and updates the system's knowledge base. This improves the overall accuracy of the system so that it can respond better the next time a problem occurs. 【0278】 (Example 1) 【0279】 Next, Example 1 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart glasses 214 are referred to as a "terminal". 【0280】 In the maintenance work of the mobile phone network, it is required to promote the inheritance of the knowledge and experience of the workers so that they can respond quickly and accurately in case of disasters or failures, and particularly to strengthen the problem-solving ability on site. However, at present, there is a problem that the efficiency of knowledge transfer is insufficient, resulting in delays in response and incorrect processing. 【0281】 The specific processing by the specific processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0282】 In this invention, the server includes an information collection device means for accumulating the knowledge and experience of the workers, an information analysis device means for extracting the key points of the information using the collected information, and a display generation device means for visually expressing the analyzed information. As a result, it becomes possible to quickly and accurately solve problems on site. 【0283】 The "information collection device" is a device or system for efficiently accumulating the knowledge and experience of the workers. 【0284】 The "information analysis device" is a device or system for automatically extracting and organizing important key points from the collected information. 【0285】 The "display generation device" is a device or system for expressing the analyzed information in an easy-to-understand visual form. 【0286】 The "dialogue device" is a device or system having an interface for responding to inquiries from users and providing appropriate knowledge. 【0287】 The "adaptive learning device" is a device or system for continuously improving the accuracy of the system based on evaluations and feedback from users. 【0288】 A "communication device" is a network-connected device that enables users to access information quickly and directly on-site. 【0289】 An "update device" is a device or system for effectively updating knowledge resources based on technical documentation and feedback. 【0290】 The system of this invention aims to improve work efficiency by enabling the rapid and accurate provision of information during maintenance work on mobile phone networks. Specific embodiments for carrying out the invention are shown below. 【0291】 Server Role 【0292】 The server first collects technical documents and work logs obtained from experienced workers. This collection uses an information gathering device that implements natural language processing technology. Specifically, it uses software such as Python's NLTK library and spaCy to convert the collected information into an organized format. The server uses a generative AI model to analyze important information from the collected data and generate a summary. For this generative AI model, it utilizes an OpenAI model and uses prompts such as "Please create a summary of past power supply problems." 【0293】 Furthermore, the server generates charts and graphs to visualize the information analyzed using the information analysis device. Tools such as Graphviz and D3.js are used for visualization. This ensures that the information is presented in a visually easy-to-understand manner. This visualized information is then delivered to terminals in the field in real time. 【0294】 Terminal role 【0295】 The terminal receives summary information and diagrams transmitted from the server and displays them in a format optimized for the user. The terminal communicates with the server using a 4G / 5G network, exchanging data in real time. The user interface uses a web-based dashboard built with HTML5 and CSS3, employing responsive design to enable use on a variety of devices. Questions and feedback from users are sent to the server via a dialogue device, allowing for immediate responses. 【0296】 User roles 【0297】 Users can utilize information provided through their terminals to solve problems on-site. Users can input additional questions as text to the server and receive instructions and detailed information from the server. After solving a problem, they input feedback into their terminal and send it to the server via the system's adaptive learning mechanism. This feedback is crucial for updating the server's knowledge resources and contributes to improving the accuracy of future information provision. 【0298】 As described above, the system of this invention can significantly improve work efficiency and responsiveness in maintenance work on mobile phone networks. 【0299】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0300】 Step 1: 【0301】 The server collects technical documents and work logs provided by workers using an information gathering device. It accepts PDF and text-based document data as input, analyzes it using natural language processing technology, and outputs it as structured data. Specifically, it uses Python's NLTK library and spaCy to analyze the grammatical structure of the text and tag important information. 【0302】 Step 2: 【0303】 The server uses a generative AI model to automatically extract key points from the collected data and generate a summary. As input, structured data is used, and the prompt text for the generative AI model (OpenAI's model) is output as "Please create a summary regarding past power troubles". As a specific operation, the model generates summarized information through natural language generation. 【0304】 Step 3: 【0305】 The server uses an information analysis device to create an illustration based on the generated summary. As input, text-based summary information is received, and charts visualized with an illustration generation tool (Graphviz or D3.js) are output. As a specific operation, a flowchart or an interactive graph is generated, and the information is converted into a form that is intuitive and easy to understand. 【0306】 Step 4: 【0307】 The terminal receives the summary information and illustration transmitted from the server and displays them to the user. As input, real-time distribution data from the server is received, and it is converted into a display format for the terminal and output. As a specific operation, with a responsive design using HTML5 and CSS3, the data is appropriately displayed on various devices. 【0308】 Step 5: 【0309】 The user uses the terminal on-site to check the necessary information and sends additional questions to the server in text format. As input, specific questions are entered into the terminal interface, and detailed information from the server is received as output. As a specific operation, the user enters "Please provide additional information about the procedure of △△", and the server performs analysis again to provide additional information. 【0310】 Step 6: 【0311】 After a user solves a problem, they input feedback into a terminal, and the server processes that feedback via an adaptive learning device. The server receives user-provided feedback data as input and saves it as output for updating knowledge resources. Specifically, it analyzes the feedback and uses it to improve the system's information provision in future instances. 【0312】 (Application Example 1) 【0313】 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." 【0314】 In industrial robot operations, rapid and accurate responses to malfunctions are required. Conventional methods make it difficult to collect and share information in real time on-site, hindering the efficient utilization of the knowledge of experienced workers. The objective of this invention is to solve this problem and improve the efficiency and safety of robot operations. 【0315】 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. 【0316】 In this invention, the server includes data storage means for accumulating the knowledge and experience of experienced workers, information organization means for summarizing information using the accumulated data, and visualization generation means for visually displaying the summarized information. This makes it possible to quickly provide countermeasures information based on past cases when an industrial robot malfunctions. 【0317】 A "data storage method" is a method for collecting and efficiently storing the knowledge and experience of experienced workers. 【0318】 "Information organization methods" refer to methods of analyzing accumulated data and summarizing the information in an easily usable format. 【0319】 A "visualization generation method" is a technique for displaying summarized information in a visually easy-to-understand format. 【0320】 "Dialogue methods" refer to means of providing appropriate responses to user inquiries and supporting knowledge transfer. 【0321】 "Adaptive learning methods" are techniques for improving system performance by utilizing feedback from users. 【0322】 "Fault response support measures" are means of providing information on countermeasures based on past cases when industrial robots experience malfunctions, thereby improving work efficiency. 【0323】 "Remote communication means" refers to methods of remote communication that provide users with information that can be quickly accessed even at the work site. 【0324】 "Data update methods" refer to techniques for updating knowledge bases based on technical documentation and feedback from workers to maintain up-to-date information. 【0325】 An "optimization method" is a method aimed at improving work efficiency through fault countermeasure support methods. 【0326】 In this invention, the server first collects knowledge from experienced workers using data storage means and systematically stores it in a database. The collected data is analyzed and summarized by information organization means. This summarized information is generated as charts and flowcharts using visualization generation means and immediately distributed to terminals. The terminals play the role of displaying this information in an optimal format so that field users can easily access it. 【0327】 Furthermore, the system incorporates interactive features, enabling it to respond to user inquiries in real time. Additionally, user feedback is collected through adaptive learning mechanisms and continuously analyzed by the server. This ensures the system's knowledge base is always up-to-date, facilitating future troubleshooting. 【0328】 As a concrete example, consider a situation where a robotic arm used on a factory assembly line malfunctions. In this case, the user of the terminal activates the system on their smartphone and enters prompts related to the situation. Based on past failure data, the server summarizes the optimal solution and displays it on the terminal. An example of a prompt would be, "Please tell me the optimal solution based on past cases regarding a motor failure in a factory robotic arm." 【0329】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0330】 Step 1: 【0331】 The server collects knowledge and work logs from experienced workers through data storage mechanisms. Input is knowledge information from workers, and output is storage in a database in a structured data format. The data is efficiently stored using SQL. 【0332】 Step 2: 【0333】 The server analyzes the accumulated data using information organization tools and summarizes the important information. The input is raw data from the database, and the output is summarized information. Data summarization is performed using the natural language processing library NLTK, and the essence of the information is extracted. 【0334】 Step 3: 【0335】 The server uses visualization generation tools to convert summary information into flowcharts and charts. The input is summarized text information, and the output is image data in a visually easy-to-understand format. Matplotlib is used for visualization, and the results are converted into a format that can be delivered to the terminal. 【0336】 Step 4: 【0337】 The terminal displays visualization data sent from the server to the user in the field. The input is image data received from the server, and the output is a visual display on the user's mobile device screen. React Native is used to display the data in the user interface. 【0338】 Step 5: 【0339】 The user performs troubleshooting based on information displayed on the device. The input is the solution information displayed on the device screen, and the output is the result of the actual repair work. The user's actions contribute to resolving the problem. 【0340】 Step 6: 【0341】 After completing a task, the user enters feedback into a terminal and sends it to the server. The input is user feedback data, and the output is data sent to the server. Feedback input is possible through the terminal's interface. 【0342】 Step 7: 【0343】 The server analyzes user feedback using adaptive learning methods and updates its knowledge base. The input is feedback data, and the output is the updated knowledge base. It utilizes machine learning algorithms to optimize information based on the feedback. 【0344】 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. 【0345】 This invention combines an emotion engine with a system that improves responsiveness in mobile phone network maintenance work, thereby enabling the provision of information optimized for the user's situation. This system is based on three elements: server, terminal, and user, and each element functions in cooperation with the others. 【0346】 Server Role 【0347】 The server systematically collects knowledge from experienced workers. It analyzes technical documents and work logs using natural language processing technology and creates a database through data collection methods. Next, summarization methods are used to extract key knowledge from the vast amount of information and store it as a summary. Diagram generation methods visualize the summarized information and prepare it as flowcharts and charts. Furthermore, an emotion engine is used to recognize the user's emotional state and appropriately adjust the service content. This information is transmitted to the terminal via remote communication methods to respond to the user's immediate needs. 【0348】 Terminal role 【0349】 The terminal receives information sent from the server and has an interface that presents appropriate information according to the user's situation. Crucial to this is the coordination between the interaction method and the emotion engine. The terminal recognizes the user's emotions in real time from their facial expressions and voice, and flexibly changes the way information is provided while communicating with the server. This makes it possible to provide more careful and easy-to-understand explanations if the user is feeling anxious or stressed. 【0350】 User roles 【0351】 Users use a terminal to troubleshoot problems on-site. The steps to solve the problem are visualized and intuitively understandable. Additional questions can be sent to the server for answers as needed. After use, users input feedback on their experience and the process of resolving the problem into the terminal, which is then sent to the server via adaptive learning. 【0352】 Specific example 【0353】 As a concrete example, consider a scenario where a user is facing a base station experiencing a communication failure. If the user's emotions are perceived as negative, such as "frustration" or "anxiety," the device will provide more detailed guides and video summaries to help facilitate problem-solving. Conversely, if the user remains calm, the device will provide concise information to encourage efficient responses. When the user submits feedback, it is analyzed by the emotion engine and used to improve the quality of future information provision. 【0354】 The system realized by this invention enables the transfer of knowledge among workers while simultaneously providing flexible information that takes emotions into consideration, thereby significantly improving responsiveness in maintenance work on mobile phone networks. 【0355】 The following describes the processing flow. 【0356】 Step 1: 【0357】 The server imports new technical documents and past work logs into its knowledge database and analyzes the information using natural language processing technology. It utilizes data collection methods to extract important knowledge elements and metadata and stores them in a structured format. 【0358】 Step 2: 【0359】 The server uses summarization tools to extract key points from the analyzed information and create a summary. This summary serves as the basis for subsequent diagram generation. 【0360】 Step 3: 【0361】 The server uses diagram generation technology to convert summary information into a visually easy-to-understand format. This involves creating flowcharts and illustrated procedure manuals, incorporating features to make them easily understandable to users. 【0362】 Step 4: 【0363】 The server activates an emotion engine when sending information to the terminal. Based on user feedback and past emotion data, it adjusts the method and specific content of the information provided. 【0364】 Step 5: 【0365】 The device uses an emotion sensor to detect the user's current emotional state in real time, along with information received from the server. This data is used by the emotion engine to determine the user's level of stress and anxiety. 【0366】 Step 6: 【0367】 The device selects the most appropriate way to deliver information to the user based on the judgment of its emotion engine. For example, if the user is feeling anxious, it will display a detailed guide or a step-by-step video explanation. 【0368】 Step 7: 【0369】 Users can use the information provided on their devices to address on-site problems. If necessary, they can send additional questions to the server and receive immediate answers. 【0370】 Step 8: 【0371】 After a user solves a problem, they input feedback about their experience and emotional state into the device. This feedback is sent to the server via adaptive learning and used to update the knowledge base. 【0372】 Step 9: 【0373】 The server uses adaptive learning methods to analyze newly acquired feedback data and update the system's knowledge base. This improves the quality and efficiency of information delivery in subsequent instances. 【0374】 (Example 2) 【0375】 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". 【0376】 Solving problems quickly and effectively on-site requires extensive knowledge and experience. Traditional systems suffered from insufficient information gathering and provision, and failed to consider the emotional state of users, resulting in a lack of responsiveness. Consequently, efficient troubleshooting was difficult. 【0377】 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. 【0378】 In this invention, the server includes information gathering means for accumulating knowledge and experience from workers, information summarization means for summarizing data based on the collected information, and sentiment analysis means for recognizing the emotional state of users and adjusting the information provided. This enables users in the field to quickly and accurately acquire information and respond to challenges efficiently. 【0379】 "Information gathering means" refers to a function for systematically collecting knowledge and experience from workers. 【0380】 An "information summarization tool" is a function that extracts important knowledge from collected information and summarizes it. 【0381】 A "visualization tool" is a function for visually displaying summarized information using flowcharts, charts, or other diagrams. 【0382】 "Emotional analysis tools" are functions that recognize the user's emotional state in real time and adjust the information provided accordingly. 【0383】 An "interaction mechanism" is a function that responds to questions from users and supports the transfer of knowledge through the provision of information. 【0384】 "Adaptive learning methods" are functions designed to improve system performance based on user feedback. 【0385】 "Communication means" refers to the function of remote communication that enables users to quickly access information at the site. 【0386】 The "update function" is a function that continuously updates the knowledge base based on technical documentation and feedback from workers. 【0387】 This invention is a comprehensive system for supporting on-site work, realized through the mutual cooperation of three elements: a server, a terminal, and a user. 【0388】 Server Functions 【0389】 The server utilizes a database management system to analyze technical documents and work logs from experienced workers using natural language processing technology. This allows it to collect relevant knowledge as an information gathering tool, and then extract key information using an information summarization tool. The extracted information is then prepared as flowcharts and diagrams through a visualization tool. Furthermore, the server uses sentiment analysis tools to analyze the user's emotional state in real time, enabling the provision of appropriate information. This system maintains high availability by utilizing cloud infrastructure and features an update function to continuously update the accumulated knowledge. 【0390】 Device functions 【0391】 The terminal receives information transmitted from the server and features an interface to present it in a user-friendly format. The terminal incorporates a camera and microphone as interaction tools for analyzing the user's facial expressions and voice, which are processed in real time by an emotion engine. The terminal dynamically adjusts information presentation according to the user's emotional state and situation, and enables two-way information exchange with the server via communication channels. 【0392】 User roles 【0393】 Users can efficiently solve problems on-site by operating the terminal. They can intuitively understand and use visualized procedures and detailed guides, and send additional questions to the server as needed to receive updated or supplementary information. After use, feedback is entered into the terminal, which is sent to the server through adaptive learning mechanisms, contributing to system improvement. 【0394】 Specific example 【0395】 For example, when a user troubleshoots a base station experiencing a communication failure, the server summarizes detailed steps extracted from technical documentation and sends them to the terminal. If the terminal senses the user's frustration, it effectively presents information using video summaries and audio guides. After successfully resolving the problem, the user inputs their experience as feedback into the terminal, and this data is then used by the system. 【0396】 Example of a prompt 【0397】 "We've experienced a communication failure at the base station. It's incredibly frustrating. Please send us detailed instructions." 【0398】 This system enables rapid on-site response and provides customized information tailored to individual needs, significantly improving efficiency in mobile communication network maintenance. 【0399】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0400】 Step 1: 【0401】 The server collects technical documents and work logs as information sources and analyzes them using natural language processing techniques. Input is text data from workers, which is then analyzed to identify important information. The output is a set of information for obtaining a knowledge summary. Keyword extraction and text classification algorithms are used in this process. 【0402】 Step 2: 【0403】 The server processes the generated information set using an information summarization mechanism and performs summarization. The input is the information set obtained in step 1. Based on this information, the server extracts important knowledge through a summarization algorithm. The output is the summarized information. Specifically, this process involves removing redundant parts and organizing the core information into a compact format. 【0404】 Step 3: 【0405】 The server visualizes the summary information using visualization tools. The input is the summary information obtained in step 2, which is visually represented as a flowchart or diagram. The output is visualized information that is easy for the user to understand. The specific operation includes the process of creating shapes using graphical tools and adjusting the layout. 【0406】 Step 4: 【0407】 The server analyzes the user's emotional state using emotion analysis tools. Input includes user facial expressions and voice data. Based on this data, an emotion analysis algorithm is applied to determine the user's emotions. The output is an evaluation of the emotional state. Specific operations include real-time emotion analysis using statistical and machine learning models. 【0408】 Step 5: 【0409】 The terminal presents information to the user using interaction mechanisms based on information provided by the server. The input is the information generated in steps 3 and 4, and this is used to display information in the user interface. The output presents information optimized for the user. Specific actions include a function that adjusts how information is displayed according to the user's emotional state. 【0410】 Step 6: 【0411】 Users troubleshoot on-site via a terminal. Inputs include visualized information and guides displayed on the terminal. Based on this, they assess the on-site situation and proceed with problem-solving. The output is the implementation of the solution. Specific actions include operating equipment and adjusting settings according to instructions. 【0412】 Step 7: 【0413】 Users enter feedback into a terminal after completing a task. This feedback includes comments about their experiences during the task and their problem-solving process. This feedback is analyzed by the server's adaptive learning mechanism and stored as a dataset to help improve the system. The output provides information that contributes to improving the system's performance. Specific actions include registering and submitting information on the feedback input screen. 【0414】 (Application Example 2) 【0415】 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." 【0416】 In automated factory environments, there is a need to quickly alleviate the anxiety and confusion experienced by robot operators amidst complex instructions and operations, thereby improving work efficiency and safety. However, current systems lack the ability to provide flexible information tailored to the operator's emotional state, making timely responses difficult. 【0417】 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. 【0418】 In this invention, the server includes data collection means for accumulating the knowledge and experience of experienced workers, summarization means for summarizing information using the collected data, and diagram generation means for visually displaying the summarized information. This enables real-time analysis of the operator's emotional state and the provision of information adjusted based on that state. 【0419】 "Data collection means" refers to a device or method for efficiently accumulating the knowledge and experience of experienced workers and forming an information infrastructure. 【0420】 "Summarization methods" refer to processes and devices for extracting important information from a vast amount of collected data and compiling it into an easily understandable format. 【0421】 A "diagram generation method" is a technology that visually represents summarized information so that users can understand it intuitively. 【0422】 "Interaction tools" are two-way communication technologies that respond to user questions and support the transfer of knowledge. 【0423】 "Adaptive learning methods" refer to methods and devices for continuously improving the performance of a system using feedback from users. 【0424】 "Emotion recognition means" refers to technology that analyzes the emotional state of a user, making it possible to grasp the user's emotions in real time. 【0425】 "Information provision adjustment means" refers to technologies that flexibly change the way information is provided based on emotional states, in order to provide the most optimal information. 【0426】 "Remote communication means" refers to communication technologies or devices that enable users to quickly access information they need on-site. 【0427】 "Update mechanisms" refer to systems for keeping the knowledge base up-to-date based on technical documentation and feedback from workers. 【0428】 To implement this invention, the server is equipped with data collection means for efficiently accumulating the knowledge and experience of experienced workers in an automated factory environment. The server has summarization means for summarizing information using the collected data, and uses diagram generation means to visually display the summarized information so that it can be intuitively understood by the user. The server also has emotion recognition means for analyzing the user's emotional state and information provision adjustment means for adjusting the information provided in accordance with that emotion. 【0429】 The terminal receives information transmitted from the server and provides an interface that presents appropriate information according to the user's situation. The terminal is equipped with interaction mechanisms to respond to user questions and support knowledge transfer. Furthermore, it includes adaptive learning mechanisms to collect user feedback and improve system performance. 【0430】 As a concrete example, if an operator encounters a robot malfunction on a crowded factory line, the terminal analyzes the operator's emotions using emotion recognition technology and displays detailed procedures and guides to alleviate anxiety and frustration. This adaptive measure allows the operator to quickly resolve the problem and maintain the operational efficiency of the factory line. 【0431】 An example of a prompt to input into a generative AI model might be, "Please tell me an effective way to guide an operator when they are confused." Using this prompt, the management system can have the AI ​​generate the most appropriate response for the situation. 【0432】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0433】 Step 1: 【0434】 The server acquires knowledge and experience from workers through data collection methods. Specifically, it takes logs of problems workers have dealt with in the past and technical documents as input, and stores this in a database to aggregate knowledge. The resulting output is a knowledge base rich in information. 【0435】 Step 2: 【0436】 The server extracts important information from the collected data using summarization techniques. The input is the knowledge base obtained in step 1, and the data is summarized using natural language processing technology. The output is a concise summary of key points. This allows for the efficient extraction of useful information from vast amounts of data. 【0437】 Step 3: 【0438】 The server uses a diagram generation mechanism to visually display the summarized information. It receives the summarized information created in step 2 as input and outputs it as a flowchart or diagram. This allows the information to be provided in a format that is easy for the user to understand. 【0439】 Step 4: 【0440】 The terminal receives information transmitted from the server and analyzes the user's emotions in real time using emotion recognition technology. Using facial recognition and speech recognition algorithms, it infers emotions from input image and audio data and outputs the results. This emotion data is used as the basis for subsequent information provision. 【0441】 Step 5: 【0442】 The server uses an information provision adjustment mechanism that adjusts information provision based on emotional state. It receives the emotional output obtained in step 4 as input, selects or generates appropriate information, and sends it to the terminal. This adjusts the information so that the user receives it in a form that is most easily accepted and understood. 【0443】 Step 6: 【0444】 Users proceed with their tasks based on information provided through their terminals, and send further questions to the server as needed. User input is processed in real time through interaction tools and transmitted to the server. The output is an increase in the user's knowledge and improvement in problem-solving abilities. 【0445】 Step 7: 【0446】 After completing a task, the user provides feedback, which the terminal collects through adaptive learning mechanisms and sends to the server. The feedback includes information such as the success or failure of the task and the usefulness of the information provided, and the output is data that helps update the system. 【0447】 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. 【0448】 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. 【0449】 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. 【0450】 [Third Embodiment] 【0451】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0452】 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. 【0453】 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). 【0454】 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. 【0455】 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. 【0456】 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). 【0457】 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. 【0458】 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. 【0459】 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. 【0460】 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. 【0461】 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. 【0462】 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". 【0463】 This invention is a system for facilitating the transfer of knowledge in mobile phone network maintenance work and improving responsiveness in the event of disasters or failures. This system functions effectively through three main components: a server, terminals, and users. 【0464】 Server Role 【0465】 The server first collects technical documents and work logs from experienced workers and systematically stores them using data collection tools. This process utilizes natural language processing techniques to structure the workers' knowledge and experience in a user-friendly format. Next, the server analyzes the vast amount of information using summarization tools, extracting key information and generating summaries. Furthermore, the server employs diagram generation tools to provide the extracted information as easily understandable flowcharts and charts. This information is then delivered in real time to terminals, as described later. 【0466】 Terminal role 【0467】 The terminal provides an operating interface for users working in the field. The terminal receives information delivered from the server and displays it in a format optimized for the user. Questions and feedback from the user are sent to the server through interaction mechanisms, and responses are received immediately. At this time, the terminal uses remote communication means to achieve seamless communication with the server. This allows users to obtain the information necessary for solving problems in the field in real time. 【0468】 User roles 【0469】 Users quickly solve problems by utilizing the summary information and diagrams provided on their devices. The feedback provided by users is sent to the server via adaptive learning mechanisms and used for subsequent analysis. This allows the server to automatically update its knowledge base based on the latest feedback, enabling more accurate and efficient information provision. 【0470】 Specific example 【0471】 As a concrete example, consider a scenario where a power outage occurs at a base station. The server immediately retrieves data on past power outages and generates a summary and diagram of the troubleshooting steps. The terminal displays this to the user, and the user can receive further information by sending additional questions to the server as needed. After the user resolves the problem, they input feedback about the procedure into the terminal, and the server incorporates this information to prepare for future outages. 【0472】 Thus, the system of the present invention can effectively utilize the knowledge accumulated by workers and provide timely and accurate information to the next generation of workers, thereby significantly improving the responsiveness in the maintenance of mobile phone networks. 【0473】 The following describes the processing flow. 【0474】 Step 1: 【0475】 The server analyzes collected technical documents and worker logs, and uses natural language processing technology to systematize the data. In this process, it extracts important metadata and knowledge elements and stores them in a data library. 【0476】 Step 2: 【0477】 The server extracts key information from the analyzed data using summarization techniques. It organizes and concisely summarizes the extracted information. The summarization process prioritizes extracting information particularly suitable for field use. 【0478】 Step 3: 【0479】 The server utilizes diagram generation methods to make summarized information visually easy to understand. Through these methods, information is automatically generated as charts and flowcharts, making it easy for users to comprehend. 【0480】 Step 4: 【0481】 The server uses remote communication to send the generated summary information and diagrams to the terminal. This enables real-time information delivery and immediate user access. 【0482】 Step 5: 【0483】 The terminal presents information received from the server to the user. The terminal displays the information using an appropriate interface so that the user can intuitively understand it. 【0484】 Step 6: 【0485】 Users will use the information displayed on their device to solve problems on-site. If necessary, they can request further information or solutions and send questions to the server via their device. 【0486】 Step 7: 【0487】 The server responds to user inquiries through interactive means and provides additional information. The responses are based on the latest information retrieved from relevant databases. 【0488】 Step 8: 【0489】 After the user resolves the problem, they use their device to send feedback to the server about their experience and the steps they took. 【0490】 Step 9: 【0491】 The server analyzes the received feedback using adaptive learning methods and updates the system's knowledge base. This improves the overall accuracy of the system so that it can respond better the next time a problem occurs. 【0492】 (Example 1) 【0493】 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." 【0494】 In mobile phone network maintenance work, it is necessary to promote the transfer of knowledge and experience among workers to enable a swift and accurate response in the event of disasters or failures, and in particular, to strengthen on-site problem-solving capabilities. However, currently, the efficiency of knowledge transfer is insufficient, resulting in delays and errors in responses. 【0495】 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. 【0496】 In this invention, the server includes an information gathering device means for accumulating the knowledge and experience of workers, an information analysis device means for extracting key points from the collected information, and a display generation device means for visually representing the analyzed information. This enables rapid and accurate problem solving on-site. 【0497】 An "information gathering device" is a device or system for efficiently accumulating the knowledge and experience of workers. 【0498】 An "information analysis device" is a device or system that automatically extracts and organizes important points from collected information. 【0499】 A "display generation device" is a device or system for representing analyzed information in an easily understandable visual format. 【0500】 A "dialogue device" is a device or system that has an interface that responds to inquiries from users and provides appropriate knowledge. 【0501】 An "adaptive learning device" is a device or system that continuously improves the accuracy of a system based on evaluations and feedback from users. 【0502】 A "communication device" is a network-connected device that enables users to access information quickly and directly on-site. 【0503】 An "update device" is a device or system for effectively updating knowledge resources based on technical documentation and feedback. 【0504】 The system of this invention aims to improve work efficiency by enabling the rapid and accurate provision of information during maintenance work on mobile phone networks. Specific embodiments for carrying out the invention are shown below. 【0505】 Server Role 【0506】 The server first collects technical documents and work logs obtained from experienced workers. This collection uses an information gathering device that implements natural language processing technology. Specifically, it uses software such as Python's NLTK library and spaCy to convert the collected information into an organized format. The server uses a generative AI model to analyze important information from the collected data and generate a summary. For this generative AI model, it utilizes an OpenAI model and uses prompts such as "Please create a summary of past power supply problems." 【0507】 Furthermore, the server generates charts and graphs to visualize the information analyzed using the information analysis device. Tools such as Graphviz and D3.js are used for visualization. This ensures that the information is presented in a visually easy-to-understand manner. This visualized information is then delivered to terminals in the field in real time. 【0508】 Terminal role 【0509】 The terminal receives summary information and diagrams transmitted from the server and displays them in a format optimized for the user. The terminal communicates with the server using a 4G / 5G network, exchanging data in real time. The user interface uses a web-based dashboard built with HTML5 and CSS3, employing responsive design to enable use on a variety of devices. Questions and feedback from users are sent to the server via a dialogue device, allowing for immediate responses. 【0510】 User roles 【0511】 Users can utilize information provided through their terminals to solve problems on-site. Users can input additional questions as text to the server and receive instructions and detailed information from the server. After solving a problem, they input feedback into their terminal and send it to the server via the system's adaptive learning mechanism. This feedback is crucial for updating the server's knowledge resources and contributes to improving the accuracy of future information provision. 【0512】 As described above, the system of this invention can significantly improve work efficiency and responsiveness in maintenance work on mobile phone networks. 【0513】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0514】 Step 1: 【0515】 The server collects technical documents and work logs provided by workers using an information gathering device. It accepts PDF and text-based document data as input, analyzes it using natural language processing technology, and outputs it as structured data. Specifically, it uses Python's NLTK library and spaCy to analyze the grammatical structure of the text and tag important information. 【0516】 Step 2: 【0517】 The server uses a generative AI model to automatically extract key points from collected data and generate a summary. Structured data is used as input, and the prompt output to the generative AI model (an OpenAI model) is "Create a summary of past power supply problems." Specifically, the model generates the summarized information through natural language generation. 【0518】 Step 3: 【0519】 The server uses an information analysis device to create diagrams based on the generated summaries. It receives text-based summary information as input and outputs visualized charts and graphs using diagram generation tools (such as Graphviz or D3.js). Specifically, it generates flowcharts and interactive graphs, converting information into a format that is easy to understand intuitively. 【0520】 Step 4: 【0521】 The terminal receives summary information and diagrams transmitted from the server and displays them to the user. It receives real-time data from the server as input, converts it to a display format for the terminal, and outputs it. Specifically, it uses responsive design with HTML5 and CSS3 to display the data appropriately on various devices. 【0522】 Step 5: 【0523】 The user uses a terminal on-site to check necessary information and sends additional questions to the server in text format. The user inputs specific problems or questions into the terminal's interface and receives detailed information from the server as output. For example, the user might input "Please provide additional information about the procedure for △△," and the server would perform further analysis to provide the additional information. 【0524】 Step 6: 【0525】 After a user solves a problem, they input feedback into a terminal, and the server processes that feedback via an adaptive learning device. The server receives user-provided feedback data as input and saves it as output for updating knowledge resources. Specifically, it analyzes the feedback and uses it to improve the system's information provision in future instances. 【0526】 (Application Example 1) 【0527】 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." 【0528】 In industrial robot operations, rapid and accurate responses to malfunctions are required. Conventional methods make it difficult to collect and share information in real time on-site, hindering the efficient utilization of the knowledge of experienced workers. The objective of this invention is to solve this problem and improve the efficiency and safety of robot operations. 【0529】 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. 【0530】 In this invention, the server includes data storage means for accumulating the knowledge and experience of experienced workers, information organization means for summarizing information using the accumulated data, and visualization generation means for visually displaying the summarized information. This makes it possible to quickly provide countermeasures information based on past cases when an industrial robot malfunctions. 【0531】 A "data storage method" is a method for collecting and efficiently storing the knowledge and experience of experienced workers. 【0532】 "Information organization methods" refer to methods of analyzing accumulated data and summarizing the information in an easily usable format. 【0533】 A "visualization generation method" is a technique for displaying summarized information in a visually easy-to-understand format. 【0534】 "Dialogue methods" refer to means of providing appropriate responses to user inquiries and supporting knowledge transfer. 【0535】 "Adaptive learning methods" are techniques for improving system performance by utilizing feedback from users. 【0536】 "Fault response support measures" are means of providing information on countermeasures based on past cases when industrial robots experience malfunctions, thereby improving work efficiency. 【0537】 "Remote communication means" refers to methods of remote communication that provide users with information that can be quickly accessed even at the work site. 【0538】 "Data update methods" refer to techniques for updating knowledge bases based on technical documentation and feedback from workers to maintain up-to-date information. 【0539】 An "optimization method" is a method aimed at improving work efficiency through fault countermeasure support methods. 【0540】 In this invention, the server first collects knowledge from experienced workers using data storage means and systematically stores it in a database. The collected data is analyzed and summarized by information organization means. This summarized information is generated as charts and flowcharts using visualization generation means and immediately distributed to terminals. The terminals play the role of displaying this information in an optimal format so that field users can easily access it. 【0541】 Furthermore, the system incorporates interactive features, enabling it to respond to user inquiries in real time. Additionally, user feedback is collected through adaptive learning mechanisms and continuously analyzed by the server. This ensures the system's knowledge base is always up-to-date, facilitating future troubleshooting. 【0542】 As a concrete example, consider a situation where a robotic arm used on a factory assembly line malfunctions. In this case, the user of the terminal activates the system on their smartphone and enters prompts related to the situation. Based on past failure data, the server summarizes the optimal solution and displays it on the terminal. An example of a prompt would be, "Please tell me the optimal solution based on past cases regarding a motor failure in a factory robotic arm." 【0543】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0544】 Step 1: 【0545】 The server collects knowledge and work logs from experienced workers through data storage mechanisms. Input is knowledge information from workers, and output is storage in a database in a structured data format. The data is efficiently stored using SQL. 【0546】 Step 2: 【0547】 The server analyzes the accumulated data using information organization tools and summarizes the important information. The input is raw data from the database, and the output is summarized information. Data summarization is performed using the natural language processing library NLTK, and the essence of the information is extracted. 【0548】 Step 3: 【0549】 The server uses visualization generation tools to convert summary information into flowcharts and charts. The input is summarized text information, and the output is image data in a visually easy-to-understand format. Matplotlib is used for visualization, and the results are converted into a format that can be delivered to the terminal. 【0550】 Step 4: 【0551】 The terminal displays visualization data sent from the server to the user in the field. The input is image data received from the server, and the output is a visual display on the user's mobile device screen. React Native is used to display the data in the user interface. 【0552】 Step 5: 【0553】 The user performs troubleshooting based on information displayed on the device. The input is the solution information displayed on the device screen, and the output is the result of the actual repair work. The user's actions contribute to resolving the problem. 【0554】 Step 6: 【0555】 After completing a task, the user enters feedback into a terminal and sends it to the server. The input is user feedback data, and the output is data sent to the server. Feedback input is possible through the terminal's interface. 【0556】 Step 7: 【0557】 The server analyzes user feedback using adaptive learning methods and updates its knowledge base. The input is feedback data, and the output is the updated knowledge base. It utilizes machine learning algorithms to optimize information based on the feedback. 【0558】 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. 【0559】 This invention combines an emotion engine with a system that improves responsiveness in mobile phone network maintenance work, thereby enabling the provision of information optimized for the user's situation. This system is based on three elements: server, terminal, and user, and each element functions in cooperation with the others. 【0560】 Server Role 【0561】 The server systematically collects knowledge from experienced workers. It analyzes technical documents and work logs using natural language processing technology and creates a database through data collection methods. Next, summarization methods are used to extract key knowledge from the vast amount of information and store it as a summary. Diagram generation methods visualize the summarized information and prepare it as flowcharts and charts. Furthermore, an emotion engine is used to recognize the user's emotional state and appropriately adjust the service content. This information is transmitted to the terminal via remote communication methods to respond to the user's immediate needs. 【0562】 Terminal role 【0563】 The terminal receives information sent from the server and has an interface that presents appropriate information according to the user's situation. Crucial to this is the coordination between the interaction method and the emotion engine. The terminal recognizes the user's emotions in real time from their facial expressions and voice, and flexibly changes the way information is provided while communicating with the server. This makes it possible to provide more careful and easy-to-understand explanations if the user is feeling anxious or stressed. 【0564】 User roles 【0565】 Users use a terminal to troubleshoot problems on-site. The steps to solve the problem are visualized and intuitively understandable. Additional questions can be sent to the server for answers as needed. After use, users input feedback on their experience and the process of resolving the problem into the terminal, which is then sent to the server via adaptive learning. 【0566】 Specific example 【0567】 As a concrete example, consider a scenario where a user is facing a base station experiencing a communication failure. If the user's emotions are perceived as negative, such as "frustration" or "anxiety," the device will provide more detailed guides and video summaries to help facilitate problem-solving. Conversely, if the user remains calm, the device will provide concise information to encourage efficient responses. When the user submits feedback, it is analyzed by the emotion engine and used to improve the quality of future information provision. 【0568】 The system realized by this invention enables the transfer of knowledge among workers while simultaneously providing flexible information that takes emotions into consideration, thereby significantly improving responsiveness in maintenance work on mobile phone networks. 【0569】 The following describes the processing flow. 【0570】 Step 1: 【0571】 The server imports new technical documents and past work logs into its knowledge database and analyzes the information using natural language processing technology. It utilizes data collection methods to extract important knowledge elements and metadata and stores them in a structured format. 【0572】 Step 2: 【0573】 The server uses summarization tools to extract key points from the analyzed information and create a summary. This summary serves as the basis for subsequent diagram generation. 【0574】 Step 3: 【0575】 The server uses diagram generation technology to convert summary information into a visually easy-to-understand format. This involves creating flowcharts and illustrated procedure manuals, incorporating features to make them easily understandable to users. 【0576】 Step 4: 【0577】 The server activates an emotion engine when sending information to the terminal. Based on user feedback and past emotion data, it adjusts the method and specific content of the information provided. 【0578】 Step 5: 【0579】 The device uses an emotion sensor to detect the user's current emotional state in real time, along with information received from the server. This data is used by the emotion engine to determine the user's level of stress and anxiety. 【0580】 Step 6: 【0581】 The device selects the most appropriate way to deliver information to the user based on the judgment of its emotion engine. For example, if the user is feeling anxious, it will display a detailed guide or a step-by-step video explanation. 【0582】 Step 7: 【0583】 Users can use the information provided on their devices to address on-site problems. If necessary, they can send additional questions to the server and receive immediate answers. 【0584】 Step 8: 【0585】 After a user solves a problem, they input feedback about their experience and emotional state into the device. This feedback is sent to the server via adaptive learning and used to update the knowledge base. 【0586】 Step 9: 【0587】 The server uses adaptive learning methods to analyze newly acquired feedback data and update the system's knowledge base. This improves the quality and efficiency of information delivery in subsequent instances. 【0588】 (Example 2) 【0589】 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." 【0590】 Solving problems quickly and effectively on-site requires extensive knowledge and experience. Traditional systems suffered from insufficient information gathering and provision, and failed to consider the emotional state of users, resulting in a lack of responsiveness. Consequently, efficient troubleshooting was difficult. 【0591】 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. 【0592】 In this invention, the server includes information gathering means for accumulating knowledge and experience from workers, information summarization means for summarizing data based on the collected information, and sentiment analysis means for recognizing the emotional state of users and adjusting the information provided. This enables users in the field to quickly and accurately acquire information and respond to challenges efficiently. 【0593】 "Information gathering means" refers to a function for systematically collecting knowledge and experience from workers. 【0594】 An "information summarization tool" is a function that extracts important knowledge from collected information and summarizes it. 【0595】 A "visualization tool" is a function for visually displaying summarized information using flowcharts, charts, or other diagrams. 【0596】 "Emotional analysis tools" are functions that recognize the user's emotional state in real time and adjust the information provided accordingly. 【0597】 An "interaction mechanism" is a function that responds to questions from users and supports the transfer of knowledge through the provision of information. 【0598】 "Adaptive learning methods" are functions designed to improve system performance based on user feedback. 【0599】 "Communication means" refers to the function of remote communication that enables users to quickly access information at the site. 【0600】 The "update function" is a function that continuously updates the knowledge base based on technical documentation and feedback from workers. 【0601】 This invention is a comprehensive system for supporting on-site work, realized through the mutual cooperation of three elements: a server, a terminal, and a user. 【0602】 Server Functions 【0603】 The server utilizes a database management system to analyze technical documents and work logs from experienced workers using natural language processing technology. This allows it to collect relevant knowledge as an information gathering tool, and then extract key information using an information summarization tool. The extracted information is then prepared as flowcharts and diagrams through a visualization tool. Furthermore, the server uses sentiment analysis tools to analyze the user's emotional state in real time, enabling the provision of appropriate information. This system maintains high availability by utilizing cloud infrastructure and features an update function to continuously update the accumulated knowledge. 【0604】 Device functions 【0605】 The terminal receives information transmitted from the server and features an interface to present it in a user-friendly format. The terminal incorporates a camera and microphone as interaction tools for analyzing the user's facial expressions and voice, which are processed in real time by an emotion engine. The terminal dynamically adjusts information presentation according to the user's emotional state and situation, and enables two-way information exchange with the server via communication channels. 【0606】 User roles 【0607】 Users can efficiently solve problems on-site by operating the terminal. They can intuitively understand and use visualized procedures and detailed guides, and send additional questions to the server as needed to receive updated or supplementary information. After use, feedback is entered into the terminal, which is sent to the server through adaptive learning mechanisms, contributing to system improvement. 【0608】 Specific example 【0609】 For example, when a user troubleshoots a base station experiencing a communication failure, the server summarizes detailed steps extracted from technical documentation and sends them to the terminal. If the terminal senses the user's frustration, it effectively presents information using video summaries and audio guides. After successfully resolving the problem, the user inputs their experience as feedback into the terminal, and this data is then used by the system. 【0610】 Example of a prompt 【0611】 "We've experienced a communication failure at the base station. It's incredibly frustrating. Please send us detailed instructions." 【0612】 This system enables rapid on-site response and provides customized information tailored to individual needs, significantly improving efficiency in mobile communication network maintenance. 【0613】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0614】 Step 1: 【0615】 The server collects technical documents and work logs as information sources and analyzes them using natural language processing techniques. Input is text data from workers, which is then analyzed to identify important information. The output is a set of information for obtaining a knowledge summary. Keyword extraction and text classification algorithms are used in this process. 【0616】 Step 2: 【0617】 The server processes the generated information set using an information summarization mechanism and performs summarization. The input is the information set obtained in step 1. Based on this information, the server extracts important knowledge through a summarization algorithm. The output is the summarized information. Specifically, this process involves removing redundant parts and organizing the core information into a compact format. 【0618】 Step 3: 【0619】 The server visualizes the summary information using visualization tools. The input is the summary information obtained in step 2, which is visually represented as a flowchart or diagram. The output is visualized information that is easy for the user to understand. The specific operation includes the process of creating shapes using graphical tools and adjusting the layout. 【0620】 Step 4: 【0621】 The server analyzes the user's emotional state using emotion analysis tools. Input includes user facial expressions and voice data. Based on this data, an emotion analysis algorithm is applied to determine the user's emotions. The output is an evaluation of the emotional state. Specific operations include real-time emotion analysis using statistical and machine learning models. 【0622】 Step 5: 【0623】 The terminal presents information to the user using interaction mechanisms based on information provided by the server. The input is the information generated in steps 3 and 4, and this is used to display information in the user interface. The output presents information optimized for the user. Specific actions include a function that adjusts how information is displayed according to the user's emotional state. 【0624】 Step 6: 【0625】 Users troubleshoot on-site via a terminal. Inputs include visualized information and guides displayed on the terminal. Based on this, they assess the on-site situation and proceed with problem-solving. The output is the implementation of the solution. Specific actions include operating equipment and adjusting settings according to instructions. 【0626】 Step 7: 【0627】 Users enter feedback into a terminal after completing a task. This feedback includes comments about their experiences during the task and their problem-solving process. This feedback is analyzed by the server's adaptive learning mechanism and stored as a dataset to help improve the system. The output provides information that contributes to improving the system's performance. Specific actions include registering and submitting information on the feedback input screen. 【0628】 (Application Example 2) 【0629】 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." 【0630】 In automated factory environments, there is a need to quickly alleviate the anxiety and confusion experienced by robot operators amidst complex instructions and operations, thereby improving work efficiency and safety. However, current systems lack the ability to provide flexible information tailored to the operator's emotional state, making timely responses difficult. 【0631】 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. 【0632】 In this invention, the server includes data collection means for accumulating the knowledge and experience of experienced workers, summarization means for summarizing information using the collected data, and diagram generation means for visually displaying the summarized information. This enables real-time analysis of the operator's emotional state and the provision of information adjusted based on that state. 【0633】 "Data collection means" refers to a device or method for efficiently accumulating the knowledge and experience of experienced workers and forming an information infrastructure. 【0634】 "Summarization methods" refer to processes and devices for extracting important information from a vast amount of collected data and compiling it into an easily understandable format. 【0635】 A "diagram generation method" is a technology that visually represents summarized information so that users can understand it intuitively. 【0636】 "Interaction tools" are two-way communication technologies that respond to user questions and support the transfer of knowledge. 【0637】 "Adaptive learning methods" refer to methods and devices for continuously improving the performance of a system using feedback from users. 【0638】 "Emotion recognition means" refers to technology that analyzes the emotional state of a user, making it possible to grasp the user's emotions in real time. 【0639】 "Information provision adjustment means" refers to technologies that flexibly change the way information is provided based on emotional states, in order to provide the most optimal information. 【0640】 "Remote communication means" refers to communication technologies or devices that enable users to quickly access information they need on-site. 【0641】 "Update mechanisms" refer to systems for keeping the knowledge base up-to-date based on technical documentation and feedback from workers. 【0642】 To implement this invention, the server is equipped with data collection means for efficiently accumulating the knowledge and experience of experienced workers in an automated factory environment. The server has summarization means for summarizing information using the collected data, and uses diagram generation means to visually display the summarized information so that it can be intuitively understood by the user. The server also has emotion recognition means for analyzing the user's emotional state and information provision adjustment means for adjusting the information provided in accordance with that emotion. 【0643】 The terminal receives information transmitted from the server and provides an interface that presents appropriate information according to the user's situation. The terminal is equipped with interaction mechanisms to respond to user questions and support knowledge transfer. Furthermore, it includes adaptive learning mechanisms to collect user feedback and improve system performance. 【0644】 As a concrete example, if an operator encounters a robot malfunction on a crowded factory line, the terminal analyzes the operator's emotions using emotion recognition technology and displays detailed procedures and guides to alleviate anxiety and frustration. This adaptive measure allows the operator to quickly resolve the problem and maintain the operational efficiency of the factory line. 【0645】 An example of a prompt to input into a generative AI model might be, "Please tell me an effective way to guide an operator when they are confused." Using this prompt, the management system can have the AI ​​generate the most appropriate response for the situation. 【0646】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0647】 Step 1: 【0648】 The server acquires knowledge and experience from workers through data collection methods. Specifically, it takes logs of problems workers have dealt with in the past and technical documents as input, and stores this in a database to aggregate knowledge. The resulting output is a knowledge base rich in information. 【0649】 Step 2: 【0650】 The server extracts important information from the collected data using summarization techniques. The input is the knowledge base obtained in step 1, and the data is summarized using natural language processing technology. The output is a concise summary of key points. This allows for the efficient extraction of useful information from vast amounts of data. 【0651】 Step 3: 【0652】 The server uses a diagram generation mechanism to visually display the summarized information. It receives the summarized information created in step 2 as input and outputs it as a flowchart or diagram. This allows the information to be provided in a format that is easy for the user to understand. 【0653】 Step 4: 【0654】 The terminal receives information transmitted from the server and analyzes the user's emotions in real time using emotion recognition technology. Using facial recognition and speech recognition algorithms, it infers emotions from input image and audio data and outputs the results. This emotion data is used as the basis for subsequent information provision. 【0655】 Step 5: 【0656】 The server uses an information provision adjustment mechanism that adjusts information provision based on emotional state. It receives the emotional output obtained in step 4 as input, selects or generates appropriate information, and sends it to the terminal. This adjusts the information so that the user receives it in a form that is most easily accepted and understood. 【0657】 Step 6: 【0658】 Users proceed with their tasks based on information provided through their terminals, and send further questions to the server as needed. User input is processed in real time through interaction tools and transmitted to the server. The output is an increase in the user's knowledge and improvement in problem-solving abilities. 【0659】 Step 7: 【0660】 After completing a task, the user provides feedback, which the terminal collects through adaptive learning mechanisms and sends to the server. The feedback includes information such as the success or failure of the task and the usefulness of the information provided, and the output is data that helps update the system. 【0661】 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. 【0662】 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. 【0663】 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. 【0664】 [Fourth Embodiment] 【0665】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0666】 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. 【0667】 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). 【0668】 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. 【0669】 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. 【0670】 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). 【0671】 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. 【0672】 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. 【0673】 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. 【0674】 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. 【0675】 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. 【0676】 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. 【0677】 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". 【0678】 This invention is a system for facilitating the transfer of knowledge in mobile phone network maintenance work and improving responsiveness in the event of disasters or failures. This system functions effectively through three main components: a server, terminals, and users. 【0679】 Server Role 【0680】 The server first collects technical documents and work logs from experienced workers and systematically stores them using data collection tools. This process utilizes natural language processing techniques to structure the workers' knowledge and experience in a user-friendly format. Next, the server analyzes the vast amount of information using summarization tools, extracting key information and generating summaries. Furthermore, the server employs diagram generation tools to provide the extracted information as easily understandable flowcharts and charts. This information is then delivered in real time to terminals, as described later. 【0681】 Terminal role 【0682】 The terminal provides an operating interface for users working in the field. The terminal receives information delivered from the server and displays it in a format optimized for the user. Questions and feedback from the user are sent to the server through interaction mechanisms, and responses are received immediately. At this time, the terminal uses remote communication means to achieve seamless communication with the server. This allows users to obtain the information necessary for solving problems in the field in real time. 【0683】 User roles 【0684】 Users quickly solve problems by utilizing the summary information and diagrams provided on their devices. The feedback provided by users is sent to the server via adaptive learning mechanisms and used for subsequent analysis. This allows the server to automatically update its knowledge base based on the latest feedback, enabling more accurate and efficient information provision. 【0685】 Specific example 【0686】 As a concrete example, consider a scenario where a power outage occurs at a base station. The server immediately retrieves data on past power outages and generates a summary and diagram of the troubleshooting steps. The terminal displays this to the user, and the user can receive further information by sending additional questions to the server as needed. After the user resolves the problem, they input feedback about the procedure into the terminal, and the server incorporates this information to prepare for future outages. 【0687】 Thus, the system of the present invention can effectively utilize the knowledge accumulated by workers and provide timely and accurate information to the next generation of workers, thereby significantly improving the responsiveness in the maintenance of mobile phone networks. 【0688】 The following describes the processing flow. 【0689】 Step 1: 【0690】 The server analyzes collected technical documents and worker logs, and uses natural language processing technology to systematize the data. In this process, it extracts important metadata and knowledge elements and stores them in a data library. 【0691】 Step 2: 【0692】 The server extracts key information from the analyzed data using summarization techniques. It organizes and concisely summarizes the extracted information. The summarization process prioritizes extracting information particularly suitable for field use. 【0693】 Step 3: 【0694】 The server utilizes diagram generation methods to make summarized information visually easy to understand. Through these methods, information is automatically generated as charts and flowcharts, making it easy for users to comprehend. 【0695】 Step 4: 【0696】 The server uses remote communication to send the generated summary information and diagrams to the terminal. This enables real-time information delivery and immediate user access. 【0697】 Step 5: 【0698】 The terminal presents information received from the server to the user. The terminal displays the information using an appropriate interface so that the user can intuitively understand it. 【0699】 Step 6: 【0700】 Users will use the information displayed on their device to solve problems on-site. If necessary, they can request further information or solutions and send questions to the server via their device. 【0701】 Step 7: 【0702】 The server responds to user inquiries through interactive means and provides additional information. The responses are based on the latest information retrieved from relevant databases. 【0703】 Step 8: 【0704】 After the user resolves the problem, they use their device to send feedback to the server about their experience and the steps they took. 【0705】 Step 9: 【0706】 The server analyzes the received feedback using adaptive learning methods and updates the system's knowledge base. This improves the overall accuracy of the system so that it can respond better the next time a problem occurs. 【0707】 (Example 1) 【0708】 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". 【0709】 In mobile phone network maintenance work, it is necessary to promote the transfer of knowledge and experience among workers to enable a swift and accurate response in the event of disasters or failures, and in particular, to strengthen on-site problem-solving capabilities. However, currently, the efficiency of knowledge transfer is insufficient, resulting in delays and errors in responses. 【0710】 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. 【0711】 In this invention, the server includes an information gathering device means for accumulating the knowledge and experience of workers, an information analysis device means for extracting key points from the collected information, and a display generation device means for visually representing the analyzed information. This enables rapid and accurate problem solving on-site. 【0712】 An "information gathering device" is a device or system for efficiently accumulating the knowledge and experience of workers. 【0713】 An "information analysis device" is a device or system that automatically extracts and organizes important points from collected information. 【0714】 A "display generation device" is a device or system for representing analyzed information in an easily understandable visual format. 【0715】 A "dialogue device" is a device or system that has an interface that responds to inquiries from users and provides appropriate knowledge. 【0716】 An "adaptive learning device" is a device or system that continuously improves the accuracy of a system based on evaluations and feedback from users. 【0717】 A "communication device" is a network-connected device that enables users to access information quickly and directly on-site. 【0718】 An "update device" is a device or system for effectively updating knowledge resources based on technical documentation and feedback. 【0719】 The system of this invention aims to improve work efficiency by enabling the rapid and accurate provision of information during maintenance work on mobile phone networks. Specific embodiments for carrying out the invention are shown below. 【0720】 Server Role 【0721】 The server first collects technical documents and work logs obtained from experienced workers. This collection uses an information gathering device that implements natural language processing technology. Specifically, it uses software such as Python's NLTK library and spaCy to convert the collected information into an organized format. The server uses a generative AI model to analyze important information from the collected data and generate a summary. For this generative AI model, it utilizes an OpenAI model and uses prompts such as "Please create a summary of past power supply problems." 【0722】 Furthermore, the server generates charts and graphs to visualize the information analyzed using the information analysis device. Tools such as Graphviz and D3.js are used for visualization. This ensures that the information is presented in a visually easy-to-understand manner. This visualized information is then delivered to terminals in the field in real time. 【0723】 Terminal role 【0724】 The terminal receives summary information and diagrams transmitted from the server and displays them in a format optimized for the user. The terminal communicates with the server using a 4G / 5G network, exchanging data in real time. The user interface uses a web-based dashboard built with HTML5 and CSS3, employing responsive design to enable use on a variety of devices. Questions and feedback from users are sent to the server via a dialogue device, allowing for immediate responses. 【0725】 User roles 【0726】 Users can utilize information provided through their terminals to solve problems on-site. Users can input additional questions as text to the server and receive instructions and detailed information from the server. After solving a problem, they input feedback into their terminal and send it to the server via the system's adaptive learning mechanism. This feedback is crucial for updating the server's knowledge resources and contributes to improving the accuracy of future information provision. 【0727】 As described above, the system of this invention can significantly improve work efficiency and responsiveness in maintenance work on mobile phone networks. 【0728】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0729】 Step 1: 【0730】 The server collects technical documents and work logs provided by workers using an information gathering device. It accepts PDF and text-based document data as input, analyzes it using natural language processing technology, and outputs it as structured data. Specifically, it uses Python's NLTK library and spaCy to analyze the grammatical structure of the text and tag important information. 【0731】 Step 2: 【0732】 The server uses a generative AI model to automatically extract key points from collected data and generate a summary. Structured data is used as input, and the prompt output to the generative AI model (an OpenAI model) is "Create a summary of past power supply problems." Specifically, the model generates the summarized information through natural language generation. 【0733】 Step 3: 【0734】 The server uses an information analysis device to create diagrams based on the generated summaries. It receives text-based summary information as input and outputs visualized charts and graphs using diagram generation tools (such as Graphviz or D3.js). Specifically, it generates flowcharts and interactive graphs, converting information into a format that is easy to understand intuitively. 【0735】 Step 4: 【0736】 The terminal receives summary information and diagrams transmitted from the server and displays them to the user. It receives real-time data from the server as input, converts it to a display format for the terminal, and outputs it. Specifically, it uses responsive design with HTML5 and CSS3 to display the data appropriately on various devices. 【0737】 Step 5: 【0738】 The user uses a terminal on-site to check necessary information and sends additional questions to the server in text format. The user inputs specific problems or questions into the terminal's interface and receives detailed information from the server as output. For example, the user might input "Please provide additional information about the procedure for △△," and the server would perform further analysis to provide the additional information. 【0739】 Step 6: 【0740】 After a user solves a problem, they input feedback into a terminal, and the server processes that feedback via an adaptive learning device. The server receives user-provided feedback data as input and saves it as output for updating knowledge resources. Specifically, it analyzes the feedback and uses it to improve the system's information provision in future instances. 【0741】 (Application Example 1) 【0742】 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". 【0743】 In industrial robot operations, rapid and accurate responses to malfunctions are required. Conventional methods make it difficult to collect and share information in real time on-site, hindering the efficient utilization of the knowledge of experienced workers. The objective of this invention is to solve this problem and improve the efficiency and safety of robot operations. 【0744】 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. 【0745】 In this invention, the server includes data storage means for accumulating the knowledge and experience of experienced workers, information organization means for summarizing information using the accumulated data, and visualization generation means for visually displaying the summarized information. This makes it possible to quickly provide countermeasures information based on past cases when an industrial robot malfunctions. 【0746】 A "data storage method" is a method for collecting and efficiently storing the knowledge and experience of experienced workers. 【0747】 "Information organization methods" refer to methods of analyzing accumulated data and summarizing the information in an easily usable format. 【0748】 A "visualization generation method" is a technique for displaying summarized information in a visually easy-to-understand format. 【0749】 "Dialogue methods" refer to means of providing appropriate responses to user inquiries and supporting knowledge transfer. 【0750】 "Adaptive learning methods" are techniques for improving system performance by utilizing feedback from users. 【0751】 "Fault response support measures" are means of providing information on countermeasures based on past cases when industrial robots experience malfunctions, thereby improving work efficiency. 【0752】 "Remote communication means" refers to methods of remote communication that provide users with information that can be quickly accessed even at the work site. 【0753】 "Data update methods" refer to techniques for updating knowledge bases based on technical documentation and feedback from workers to maintain up-to-date information. 【0754】 An "optimization method" is a method aimed at improving work efficiency through fault countermeasure support methods. 【0755】 In this invention, the server first collects knowledge from experienced workers using data storage means and systematically stores it in a database. The collected data is analyzed and summarized by information organization means. This summarized information is generated as charts and flowcharts using visualization generation means and immediately distributed to terminals. The terminals play the role of displaying this information in an optimal format so that field users can easily access it. 【0756】 Furthermore, the system incorporates interactive features, enabling it to respond to user inquiries in real time. Additionally, user feedback is collected through adaptive learning mechanisms and continuously analyzed by the server. This ensures the system's knowledge base is always up-to-date, facilitating future troubleshooting. 【0757】 As a concrete example, consider a situation where a robotic arm used on a factory assembly line malfunctions. In this case, the user of the terminal activates the system on their smartphone and enters prompts related to the situation. Based on past failure data, the server summarizes the optimal solution and displays it on the terminal. An example of a prompt would be, "Please tell me the optimal solution based on past cases regarding a motor failure in a factory robotic arm." 【0758】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0759】 Step 1: 【0760】 The server collects knowledge and work logs from experienced workers through data storage mechanisms. Input is knowledge information from workers, and output is storage in a database in a structured data format. The data is efficiently stored using SQL. 【0761】 Step 2: 【0762】 The server analyzes the accumulated data using information organization tools and summarizes the important information. The input is raw data from the database, and the output is summarized information. Data summarization is performed using the natural language processing library NLTK, and the essence of the information is extracted. 【0763】 Step 3: 【0764】 The server uses visualization generation tools to convert summary information into flowcharts and charts. The input is summarized text information, and the output is image data in a visually easy-to-understand format. Matplotlib is used for visualization, and the results are converted into a format that can be delivered to the terminal. 【0765】 Step 4: 【0766】 The terminal displays visualization data sent from the server to the user in the field. The input is image data received from the server, and the output is a visual display on the user's mobile device screen. React Native is used to display the data in the user interface. 【0767】 Step 5: 【0768】 The user performs troubleshooting based on information displayed on the device. The input is the solution information displayed on the device screen, and the output is the result of the actual repair work. The user's actions contribute to resolving the problem. 【0769】 Step 6: 【0770】 After completing a task, the user enters feedback into a terminal and sends it to the server. The input is user feedback data, and the output is data sent to the server. Feedback input is possible through the terminal's interface. 【0771】 Step 7: 【0772】 The server analyzes user feedback using adaptive learning methods and updates its knowledge base. The input is feedback data, and the output is the updated knowledge base. It utilizes machine learning algorithms to optimize information based on the feedback. 【0773】 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. 【0774】 This invention combines an emotion engine with a system that improves responsiveness in mobile phone network maintenance work, thereby enabling the provision of information optimized for the user's situation. This system is based on three elements: server, terminal, and user, and each element functions in cooperation with the others. 【0775】 Server Role 【0776】 The server systematically collects knowledge from experienced workers. It analyzes technical documents and work logs using natural language processing technology and creates a database through data collection methods. Next, summarization methods are used to extract key knowledge from the vast amount of information and store it as a summary. Diagram generation methods visualize the summarized information and prepare it as flowcharts and charts. Furthermore, an emotion engine is used to recognize the user's emotional state and appropriately adjust the service content. This information is transmitted to the terminal via remote communication methods to respond to the user's immediate needs. 【0777】 Terminal role 【0778】 The terminal receives information sent from the server and has an interface that presents appropriate information according to the user's situation. Crucial to this is the coordination between the interaction method and the emotion engine. The terminal recognizes the user's emotions in real time from their facial expressions and voice, and flexibly changes the way information is provided while communicating with the server. This makes it possible to provide more careful and easy-to-understand explanations if the user is feeling anxious or stressed. 【0779】 User roles 【0780】 Users use a terminal to troubleshoot problems on-site. The steps to solve the problem are visualized and intuitively understandable. Additional questions can be sent to the server for answers as needed. After use, users input feedback on their experience and the process of resolving the problem into the terminal, which is then sent to the server via adaptive learning. 【0781】 Specific example 【0782】 As a concrete example, consider a scenario where a user is facing a base station experiencing a communication failure. If the user's emotions are perceived as negative, such as "frustration" or "anxiety," the device will provide more detailed guides and video summaries to help facilitate problem-solving. Conversely, if the user remains calm, the device will provide concise information to encourage efficient responses. When the user submits feedback, it is analyzed by the emotion engine and used to improve the quality of future information provision. 【0783】 The system realized by this invention enables the transfer of knowledge among workers while simultaneously providing flexible information that takes emotions into consideration, thereby significantly improving responsiveness in maintenance work on mobile phone networks. 【0784】 The following describes the processing flow. 【0785】 Step 1: 【0786】 The server imports new technical documents and past work logs into its knowledge database and analyzes the information using natural language processing technology. It utilizes data collection methods to extract important knowledge elements and metadata and stores them in a structured format. 【0787】 Step 2: 【0788】 The server uses summarization tools to extract key points from the analyzed information and create a summary. This summary serves as the basis for subsequent diagram generation. 【0789】 Step 3: 【0790】 The server uses diagram generation technology to convert summary information into a visually easy-to-understand format. This involves creating flowcharts and illustrated procedure manuals, incorporating features to make them easily understandable to users. 【0791】 Step 4: 【0792】 The server activates an emotion engine when sending information to the terminal. Based on user feedback and past emotion data, it adjusts the method and specific content of the information provided. 【0793】 Step 5: 【0794】 The device uses an emotion sensor to detect the user's current emotional state in real time, along with information received from the server. This data is used by the emotion engine to determine the user's level of stress and anxiety. 【0795】 Step 6: 【0796】 The device selects the most appropriate way to deliver information to the user based on the judgment of its emotion engine. For example, if the user is feeling anxious, it will display a detailed guide or a step-by-step video explanation. 【0797】 Step 7: 【0798】 Users can use the information provided on their devices to address on-site problems. If necessary, they can send additional questions to the server and receive immediate answers. 【0799】 Step 8: 【0800】 After a user solves a problem, they input feedback about their experience and emotional state into the device. This feedback is sent to the server via adaptive learning and used to update the knowledge base. 【0801】 Step 9: 【0802】 The server uses adaptive learning methods to analyze newly acquired feedback data and update the system's knowledge base. This improves the quality and efficiency of information delivery in subsequent instances. 【0803】 (Example 2) 【0804】 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". 【0805】 Solving problems quickly and effectively on-site requires extensive knowledge and experience. Traditional systems suffered from insufficient information gathering and provision, and failed to consider the emotional state of users, resulting in a lack of responsiveness. Consequently, efficient troubleshooting was difficult. 【0806】 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. 【0807】 In this invention, the server includes information gathering means for accumulating knowledge and experience from workers, information summarization means for summarizing data based on the collected information, and sentiment analysis means for recognizing the emotional state of users and adjusting the information provided. This enables users in the field to quickly and accurately acquire information and respond to challenges efficiently. 【0808】 "Information gathering means" refers to a function for systematically collecting knowledge and experience from workers. 【0809】 An "information summarization tool" is a function that extracts important knowledge from collected information and summarizes it. 【0810】 A "visualization tool" is a function for visually displaying summarized information using flowcharts, charts, or other diagrams. 【0811】 "Emotional analysis tools" are functions that recognize the user's emotional state in real time and adjust the information provided accordingly. 【0812】 An "interaction mechanism" is a function that responds to questions from users and supports the transfer of knowledge through the provision of information. 【0813】 "Adaptive learning methods" are functions designed to improve system performance based on user feedback. 【0814】 "Communication means" refers to the function of remote communication that enables users to quickly access information at the site. 【0815】 The "update function" is a function that continuously updates the knowledge base based on technical documentation and feedback from workers. 【0816】 This invention is a comprehensive system for supporting on-site work, realized through the mutual cooperation of three elements: a server, a terminal, and a user. 【0817】 Server Functions 【0818】 The server utilizes a database management system to analyze technical documents and work logs from experienced workers using natural language processing technology. This allows it to collect relevant knowledge as an information gathering tool, and then extract key information using an information summarization tool. The extracted information is then prepared as flowcharts and diagrams through a visualization tool. Furthermore, the server uses sentiment analysis tools to analyze the user's emotional state in real time, enabling the provision of appropriate information. This system maintains high availability by utilizing cloud infrastructure and features an update function to continuously update the accumulated knowledge. 【0819】 Device functions 【0820】 The terminal receives information transmitted from the server and features an interface to present it in a user-friendly format. The terminal incorporates a camera and microphone as interaction tools for analyzing the user's facial expressions and voice, which are processed in real time by an emotion engine. The terminal dynamically adjusts information presentation according to the user's emotional state and situation, and enables two-way information exchange with the server via communication channels. 【0821】 User roles 【0822】 Users can efficiently solve problems on-site by operating the terminal. They can intuitively understand and use visualized procedures and detailed guides, and send additional questions to the server as needed to receive updated or supplementary information. After use, feedback is entered into the terminal, which is sent to the server through adaptive learning mechanisms, contributing to system improvement. 【0823】 Specific example 【0824】 For example, when a user troubleshoots a base station experiencing a communication failure, the server summarizes detailed steps extracted from technical documentation and sends them to the terminal. If the terminal senses the user's frustration, it effectively presents information using video summaries and audio guides. After successfully resolving the problem, the user inputs their experience as feedback into the terminal, and this data is then used by the system. 【0825】 Example of a prompt 【0826】 "We've experienced a communication failure at the base station. It's incredibly frustrating. Please send us detailed instructions." 【0827】 This system enables rapid on-site response and provides customized information tailored to individual needs, significantly improving efficiency in mobile communication network maintenance. 【0828】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0829】 Step 1: 【0830】 The server collects technical documents and work logs as information sources and analyzes them using natural language processing techniques. Input is text data from workers, which is then analyzed to identify important information. The output is a set of information for obtaining a knowledge summary. Keyword extraction and text classification algorithms are used in this process. 【0831】 Step 2: 【0832】 The server processes the generated information set using an information summarization mechanism and performs summarization. The input is the information set obtained in step 1. Based on this information, the server extracts important knowledge through a summarization algorithm. The output is the summarized information. Specifically, this process involves removing redundant parts and organizing the core information into a compact format. 【0833】 Step 3: 【0834】 The server visualizes the summary information using visualization tools. The input is the summary information obtained in step 2, which is visually represented as a flowchart or diagram. The output is visualized information that is easy for the user to understand. The specific operation includes the process of creating shapes using graphical tools and adjusting the layout. 【0835】 Step 4: 【0836】 The server analyzes the user's emotional state using emotion analysis tools. Input includes user facial expressions and voice data. Based on this data, an emotion analysis algorithm is applied to determine the user's emotions. The output is an evaluation of the emotional state. Specific operations include real-time emotion analysis using statistical and machine learning models. 【0837】 Step 5: 【0838】 The terminal presents information to the user using interaction mechanisms based on information provided by the server. The input is the information generated in steps 3 and 4, and this is used to display information in the user interface. The output presents information optimized for the user. Specific actions include a function that adjusts how information is displayed according to the user's emotional state. 【0839】 Step 6: 【0840】 Users troubleshoot on-site via a terminal. Inputs include visualized information and guides displayed on the terminal. Based on this, they assess the on-site situation and proceed with problem-solving. The output is the implementation of the solution. Specific actions include operating equipment and adjusting settings according to instructions. 【0841】 Step 7: 【0842】 Users enter feedback into a terminal after completing a task. This feedback includes comments about their experiences during the task and their problem-solving process. This feedback is analyzed by the server's adaptive learning mechanism and stored as a dataset to help improve the system. The output provides information that contributes to improving the system's performance. Specific actions include registering and submitting information on the feedback input screen. 【0843】 (Application Example 2) 【0844】 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". 【0845】 In automated factory environments, there is a need to quickly alleviate the anxiety and confusion experienced by robot operators amidst complex instructions and operations, thereby improving work efficiency and safety. However, current systems lack the ability to provide flexible information tailored to the operator's emotional state, making timely responses difficult. 【0846】 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. 【0847】 In this invention, the server includes data collection means for accumulating the knowledge and experience of experienced workers, summarization means for summarizing information using the collected data, and diagram generation means for visually displaying the summarized information. This enables real-time analysis of the operator's emotional state and the provision of information adjusted based on that state. 【0848】 "Data collection means" refers to a device or method for efficiently accumulating the knowledge and experience of experienced workers and forming an information infrastructure. 【0849】 "Summarization methods" refer to processes and devices for extracting important information from a vast amount of collected data and compiling it into an easily understandable format. 【0850】 A "diagram generation method" is a technology that visually represents summarized information so that users can understand it intuitively. 【0851】 "Interaction tools" are two-way communication technologies that respond to user questions and support the transfer of knowledge. 【0852】 "Adaptive learning methods" refer to methods and devices for continuously improving the performance of a system using feedback from users. 【0853】 "Emotion recognition means" refers to technology that analyzes the emotional state of a user, making it possible to grasp the user's emotions in real time. 【0854】 "Information provision adjustment means" refers to technologies that flexibly change the way information is provided based on emotional states, in order to provide the most optimal information. 【0855】 "Remote communication means" refers to communication technologies or devices that enable users to quickly access information they need on-site. 【0856】 "Update mechanisms" refer to systems for keeping the knowledge base up-to-date based on technical documentation and feedback from workers. 【0857】 To implement this invention, the server is equipped with data collection means for efficiently accumulating the knowledge and experience of experienced workers in an automated factory environment. The server has summarization means for summarizing information using the collected data, and uses diagram generation means to visually display the summarized information so that it can be intuitively understood by the user. The server also has emotion recognition means for analyzing the user's emotional state and information provision adjustment means for adjusting the information provided in accordance with that emotion. 【0858】 The terminal receives information transmitted from the server and provides an interface that presents appropriate information according to the user's situation. The terminal is equipped with interaction mechanisms to respond to user questions and support knowledge transfer. Furthermore, it includes adaptive learning mechanisms to collect user feedback and improve system performance. 【0859】 As a concrete example, if an operator encounters a robot malfunction on a crowded factory line, the terminal analyzes the operator's emotions using emotion recognition technology and displays detailed procedures and guides to alleviate anxiety and frustration. This adaptive measure allows the operator to quickly resolve the problem and maintain the operational efficiency of the factory line. 【0860】 An example of a prompt to input into a generative AI model might be, "Please tell me an effective way to guide an operator when they are confused." Using this prompt, the management system can have the AI ​​generate the most appropriate response for the situation. 【0861】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0862】 Step 1: 【0863】 The server acquires knowledge and experience from workers through data collection methods. Specifically, it takes logs of problems workers have dealt with in the past and technical documents as input, and stores this in a database to aggregate knowledge. The resulting output is a knowledge base rich in information. 【0864】 Step 2: 【0865】 The server extracts important information from the collected data using summarization techniques. The input is the knowledge base obtained in step 1, and the data is summarized using natural language processing technology. The output is a concise summary of key points. This allows for the efficient extraction of useful information from vast amounts of data. 【0866】 Step 3: 【0867】 The server uses a diagram generation mechanism to visually display the summarized information. It receives the summarized information created in step 2 as input and outputs it as a flowchart or diagram. This allows the information to be provided in a format that is easy for the user to understand. 【0868】 Step 4: 【0869】 The terminal receives information transmitted from the server and analyzes the user's emotions in real time using emotion recognition technology. Using facial recognition and speech recognition algorithms, it infers emotions from input image and audio data and outputs the results. This emotion data is used as the basis for subsequent information provision. 【0870】 Step 5: 【0871】 The server uses an information provision adjustment mechanism that adjusts information provision based on emotional state. It receives the emotional output obtained in step 4 as input, selects or generates appropriate information, and sends it to the terminal. This adjusts the information so that the user receives it in a form that is most easily accepted and understood. 【0872】 Step 6: 【0873】 Users proceed with their tasks based on information provided through their terminals, and send further questions to the server as needed. User input is processed in real time through interaction tools and transmitted to the server. The output is an increase in the user's knowledge and improvement in problem-solving abilities. 【0874】 Step 7: 【0875】 After completing a task, the user provides feedback, which the terminal collects through adaptive learning mechanisms and sends to the server. The feedback includes information such as the success or failure of the task and the usefulness of the information provided, and the output is data that helps update the system. 【0876】 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. 【0877】 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. 【0878】 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. 【0879】 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. 【0880】 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. 【0881】 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. 【0882】 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. 【0883】 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. 【0884】 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." 【0885】 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. 【0886】 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. 【0887】 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. 【0888】 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. 【0889】 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. 【0890】 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. 【0891】 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. 【0892】 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. 【0893】 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. 【0894】 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. 【0895】 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. 【0896】 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 as being incorporated by reference. 【0897】 The following is further disclosed regarding the embodiments described above. 【0898】 (Claim 1) 【0899】 A means of collecting data to accumulate the knowledge and experience of experienced workers, 【0900】 A summarization means that uses collected data to summarize information, 【0901】 A diagram generation means for visually displaying summarized information, 【0902】 Interaction tools that respond to user questions to support knowledge transfer, 【0903】 A means of adaptive learning to collect user feedback and improve system performance, 【0904】 A system that includes this. 【0905】 (Claim 2) 【0906】 The system according to claim 1, further comprising remote communication means for providing information that users can quickly access on-site. 【0907】 (Claim 3) 【0908】 The system according to claim 1, comprising an update means for updating a knowledge base based on technical documentation and feedback from workers. 【0909】 "Example 1" 【0910】 (Claim 1) 【0911】 Information gathering device means for accumulating the knowledge and experience of workers, 【0912】 Information analysis device means for extracting key points of information using collected information, 【0913】 A display generation device means for visually representing the analyzed information, 【0914】 A dialogue device means that responds to inquiries from users in order to support the transfer of knowledge, 【0915】 An adaptive learning device means for collecting user feedback and improving the accuracy of the system, 【0916】 A system that includes this. 【0917】 (Claim 2) 【0918】 The system according to claim 1, further comprising a communication device that allows users to quickly access data on-site. 【0919】 (Claim 3) 【0920】 The system according to claim 1, comprising an update device that updates knowledge resources based on technical documents and evaluations from workers. 【0921】 "Application Example 1" 【0922】 (Claim 1) 【0923】 A data storage method for accumulating the knowledge and experience of experienced workers, 【0924】 An information organization method that uses accumulated data to summarize information, 【0925】 A visualization generation means for visually displaying summarized information, 【0926】 A dialogue mechanism to respond to user inquiries in order to support knowledge transfer, 【0927】 An adaptive learning method for collecting user feedback and improving system performance, 【0928】 A fault response support system that provides information on countermeasures based on past cases when a fault occurs in an industrial robot, 【0929】 A system that includes this. 【0930】 (Claim 2) 【0931】 The system according to claim 1, further comprising remote communication means for providing information that users can quickly access at the work site. 【0932】 (Claim 3) 【0933】 The system according to claim 1, comprising a data update means for updating a knowledge base based on technical documents and feedback from workers, and an optimization means for improving work efficiency through fault countermeasure support means. 【0934】 "Example 2 of combining an emotion engine" 【0935】 (Claim 1) 【0936】 Information gathering means for accumulating knowledge and experience from workers, 【0937】 An information summarization means that summarizes data based on the collected information, 【0938】 A visualization means for visually displaying summarized information, 【0939】 A means of sentiment analysis to recognize the emotional state of users and adjust the provision of information, 【0940】 An interaction mechanism that responds to user questions and supports the transfer of information, 【0941】 An adaptive learning method that improves system performance using user feedback, 【0942】 A system that includes this. 【0943】 (Claim 2) 【0944】 The system according to claim 1, further comprising communication means for providing information that users can quickly access on-site. 【0945】 (Claim 3) 【0946】 The system according to claim 1, comprising an update function that updates the knowledge base based on technical documentation and feedback from workers. 【0947】 "Application example 2 when combining with an emotional engine" 【0948】 (Claim 1) 【0949】 A means of collecting data to accumulate the knowledge and experience of experienced workers, 【0950】 A summarization means that uses collected data to summarize information, 【0951】 A diagram generation means for visually displaying summarized information, 【0952】 Interaction tools that respond to user questions to support knowledge transfer, 【0953】 A means of adaptive learning to collect user feedback and improve system performance, 【0954】 An emotion recognition method for analyzing the emotional state of the user, 【0955】 Information provision adjustment means that adjusts information provision based on emotional state, 【0956】 A system that includes this. 【0957】 (Claim 2) 【0958】 The system according to claim 1, further comprising remote communication means for providing information that users can quickly access on-site. 【0959】 (Claim 3) 【0960】 The system according to claim 1, comprising an update means for updating a knowledge base based on technical documentation and feedback from workers. [Explanation of Symbols] 【0961】 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

[Claim 1] A means of collecting data to accumulate the knowledge and experience of experienced workers, A summarization means that uses collected data to summarize information, A diagram generation means for visually displaying summarized information, Interaction tools that respond to user questions to support knowledge transfer, A means of adaptive learning to collect user feedback and improve system performance, A system that includes this. [Claim 2] The system according to claim 1, further comprising remote communication means for providing information that users can quickly access on-site. [Claim 3] The system according to claim 1, comprising an update means for updating a knowledge base based on technical documents and feedback from workers.

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