Instructions for Use

A machine learning-based system automates the retrieval of operating and troubleshooting information in work vehicle manuals, enhancing efficiency by providing direct responses to operator inquiries.

JP2026092917APending Publication Date: 2026-06-08YANMAR HLDG CO LTD

Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
YANMAR HLDG CO LTD
Filing Date
2024-11-27
Publication Date
2026-06-08

AI Technical Summary

Technical Problem

Operators of work vehicles and machines face the challenge of having to manually search through instruction manuals and parts catalogs to find necessary operating procedures and troubleshooting information, which is inefficient and time-consuming.

Method used

A method utilizing machine learning to accumulate a learning model from instruction manuals and parts catalogs, enabling operators to input questions about operating or troubleshooting means, and receiving automated responses based on this model, thereby simplifying the process.

Benefits of technology

Enables operators to quickly and easily access relevant information without manual searching, reducing the time and effort required to find operating procedures and troubleshooting steps.

✦ Generated by Eureka AI based on patent content.

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Abstract

This provides an instruction manual that allows operators to easily find the necessary operating procedures and troubleshooting methods in the instruction manual and parts catalog without requiring extra effort from the operator. [Solution] The instruction system 1 for the work vehicle 2 and / or work machine 2b has a learning unit 50 on the management server 4 that stores a learning model that has been machine-learned from the instruction manual and / or parts catalog of the work vehicle 2 and / or work machine 2b, a question input unit 30 and a question determination unit 51 on the mobile terminal 3 and the management server 4 respectively that input questions regarding the operating means or abnormality response means of the work vehicle 2 and / or work machine 2b, and an answer output unit 31 and an answer creation unit 52 on the mobile terminal 3 and the management server 4 respectively that create answers to questions based on the learning model.
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Description

Technical Field

[0001] The present invention relates to a method for explaining the handling of a work vehicle and / or a working machine.

Background Art

[0002] In order to perform work in a work area such as a farm field using a work vehicle such as an agricultural work machine equipped with a working machine, an operator needs to refer to an operation manual or parts catalog of the work vehicle and the working machine and confirm the operation means and abnormality handling means of the work vehicle and the working machine. The operator can download the electronic data of the operation manual and parts catalog to the work vehicle or a portable terminal that operates the work vehicle and refer to the operation manual and parts catalog via the display device of the work vehicle and the portable terminal.

[0003] For example, in Patent Document 1, a management terminal that manages a tractor, a rice transplanter, and a combine, which are multiple types of work machines that perform multiple types of work on a farm field, includes a storage unit that stores a management application for managing multiple types of work machines, a control device that activates the management application, and a display unit. In this management application, on the operation manual management screen, when the model number of the work machine is selected and an instruction to acquire the operation manual is received, the download of the operation manual is executed, and the operation manual for the selected model number of the work machine is received from the management server and stored in a predetermined storage area of the storage unit.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] By the way, in order for an operator to refer to the necessary operating procedures and troubleshooting procedures in the instruction manual or parts catalog, they must at least check the table of contents to find the relevant page, open the page, and then check the details of that page to find the section describing the operating procedures and troubleshooting procedures. In conventional technology, the display device of the work vehicle or the handheld terminal that operates the work vehicle only displays the instruction manual or parts catalog in response to the operator's operation, which means the operator has to go through the trouble of searching for the necessary operating procedures and troubleshooting procedures.

[0006] The present invention aims to provide an instruction manual that allows operators to easily find the necessary operating procedures and troubleshooting procedures in instruction manuals and parts catalogs without requiring extra effort from the operator. [Means for solving the problem]

[0007] To solve the above problems, the present invention provides a method for explaining how to use a work vehicle and / or work machine, characterized by comprising: a learning step of accumulating a learning model obtained by machine learning from the instruction manual and / or parts catalog of the work vehicle and / or work machine; a questioning step of inputting questions concerning the operating means or abnormality response means of the work vehicle and / or work machine; and a response step of creating and outputting answers to the questions based on the learning model. [Effects of the Invention]

[0008] The present invention provides an instruction manual that allows operators to easily find the necessary operating procedures and troubleshooting procedures in instruction manuals and parts catalogs without requiring extra effort from the operator. [Brief explanation of the drawing]

[0009] [Figure 1] This is a block diagram of an instruction manual system according to an embodiment of the present invention. [Figure 2] This is a front view showing an example of an inquiry screen provided by an instruction manual system according to an embodiment of the present invention. [Modes for carrying out the invention]

[0010] An embodiment of the present invention, the instruction manual system 1, will be described with reference to the drawings. As shown in Figure 1, the instruction manual system 1 includes a work vehicle 2, which is an agricultural machine such as a tractor, rice transplanter, or combine harvester, which is handled by the operator; a portable terminal 3 for viewing instruction manuals and parts catalogs; and a management server 4 that can communicate with the work vehicle 2 and the portable terminal 3 via a network such as the Internet.

[0011] In this embodiment, an example is described in which the work vehicle 2 is a tractor. Also, in this embodiment, an example is described in which the instruction system 1 has one work vehicle 2 and one portable terminal 3, but the present invention is not limited to this example, and the instruction system 1 may have two or more work vehicles 2 and two or more portable terminals 3.

[0012] The work vehicle 2 operates within a work area such as a field, using the work implement 2b attached to the vehicle body 2a while the vehicle body 2a is driven. For example, it can perform agricultural tasks such as tilling, puddling, and sowing in the same field.

[0013] The work vehicle 2 is equipped with a vehicle control device 10, which consists of a computer such as a CPU. The vehicle control device 10 is connected to a vehicle storage unit 11, which includes ROM, RAM, a hard disk drive, and flash memory, and to a vehicle communication unit 12, which communicates with external devices such as a mobile terminal 3 and a management server 4. For example, while performing agricultural work in a field, the work vehicle 2 measures field data related to that field (such as the shape, size, and location information of the field edges that constitute the outer perimeter of the field) and transmits the measured field data to the mobile terminal 3.

[0014] The vehicle storage unit 11 stores vehicle information relating to the work vehicle 2, which includes, for example, the model number, model name, identification number, size (dimensions), driving method (wheel type with a pair of front and rear wheels, half-crawler type with a pair of rear wheels replaced by a crawler device, etc.), vehicle speed and engine speed when not working, and vehicle speed and engine speed when working. The vehicle information may also include information such as the model number, model name, identification number, and size (dimensions) of the work machine 2b attached to the work vehicle 2. Furthermore, the vehicle information may also include the model numbers of parts and controllers attached to the work vehicle 2 and the work machine 2b.

[0015] The vehicle communication unit 12 can communicate wirelessly with external devices such as the mobile terminal 3 and the management server 4 via a wireless communication antenna. The vehicle control device 10 controls the vehicle communication unit 12 to communicate wirelessly with the mobile terminal 3 and the management server 4, and sends and receives various information between the vehicle communication unit 12 and the mobile terminal 3 and the management server 4.

[0016] Furthermore, the work vehicle 2 may be configured as an automated driving vehicle that automatically drives along a pre-set driving route. In this case, the work vehicle 2 receives field data and driving route from the mobile terminal 3 and is controlled to automatically drive according to this field data and driving route. The work vehicle 2 also has driving data related to driving conditions and work data related to working conditions, and controls automatic driving based on this data.

[0017] The mobile terminal 3 is a terminal capable of displaying the instruction manual and / or parts catalog for the work vehicle 2 and / or work machine 2b to the worker, and is composed of, for example, a smartphone, tablet, or notebook personal computer. The mobile terminal 3 may be a terminal attached to the work vehicle 2 that allows for remote control of the work vehicle 2, or it may be a terminal owned by the worker.

[0018] The mobile terminal 3 includes a terminal control device 20 composed of a computer such as a CPU. The terminal control device 20 is connected to a terminal storage unit 21 such as a ROM, a RAM, a hard disk drive, and a flash memory, and a terminal communication unit 22 that communicates with external devices such as the work vehicle 2 and the management server 4.

[0019] The mobile terminal 3 further includes a terminal display unit 23 such as a liquid crystal display, a terminal voice output unit 24 such as a speaker, a terminal operation unit 25 such as a keyboard and various buttons, and a terminal sound collection unit 26 such as a microphone. The terminal display unit 23 is controlled by the terminal control device 20 to display various information to the operator. The terminal voice output unit 24 is controlled by the terminal control device 20 to output various information to the operator in voice. The terminal operation unit 25 is controlled by the terminal control device 20 to receive information input by the manual operation of the operator. The terminal sound collection unit 26 is controlled by the terminal control device 20 to receive information input by voice input from the operator. Note that the terminal display unit 23 and the terminal operation unit 25 may be composed of an integrated touch panel.

[0020] The mobile terminal 3 has a terminal imaging unit 27 for imaging the states of the work vehicle 2 and the work machine 2b, and the working conditions of the field. The terminal imaging unit 27 is controlled by the terminal control device 20 to capture a desired image and input it to the terminal control device 20.

[0021] The terminal storage unit 21 stores programs and data for controlling various components and functions of the mobile terminal 3. The terminal control device 20 executes arithmetic processing based on the programs and data stored in the terminal storage unit 21 to control various components and functions of the mobile terminal 3.

[0022] The terminal storage unit 21 stores field information of the field that is the work target of the work vehicle 2. The field information includes, for example, the shape, size, and position information (coordinates, etc.) of the field edge that constitutes the outer periphery of the field, the shape, size, and position information (coordinates, etc.) of the working area of the field, etc. Further, the field information includes information such as the shape, size, and position information (coordinates, etc.) of the unworked area where work has not yet been performed and the worked area where work has already been completed.

[0023] Note that the terminal control device 20 of the mobile terminal 3 may store the vehicle information and field information received from the work vehicle 2 or the management server 4 in the terminal storage unit 21, or may store the vehicle information and field information input according to an arbitrary operation of the operator in the terminal storage unit 21. For example, the mobile terminal 3 attached to the work vehicle 2 and capable of remotely operating the work vehicle 2 receives vehicle information and field information from the work vehicle 2 when communicably connected to the work vehicle 2.

[0024] The terminal control device 20 of the mobile terminal 3 downloads the electronic data of the operation manuals and / or parts catalogs of the work vehicle 2 and its working machine 2b handled by the operator and stores them in the terminal storage unit 21. The mobile terminal 3 may download the operation manuals and parts catalogs published on the Internet by a website or the like, or may download the operation manuals and parts catalogs stored in an external storage medium 44 such as a USB memory. Alternatively, the mobile terminal 3 may download the operation manuals and parts catalogs from the management server 4.

[0025] In addition, the terminal control device 20 of the mobile terminal 3 stores a viewing program such as software or an application for viewing the operation manual and / or parts catalog in the terminal storage unit 21. The viewing program may be, for example, a part of a management program for managing the work vehicle 2 or a program dedicated to viewing the operation manual and parts catalog. Alternatively, the terminal control device 20 may access a website presenting the operation manual and / or parts catalog with a web browser, and in this case, the website serves as the viewing program.

[0026] Furthermore, the terminal control device 20 of the mobile terminal 3 stores an inquiry program in the terminal storage unit 21 that responds to questions and answers regarding the operation means and abnormality response means of the work vehicle 2 and work machine 2b. The inquiry program may be part of the management program that manages the work vehicle 2, or part of a program dedicated to viewing instruction manuals and parts catalogs. Alternatively, the terminal control device 20 may access a website that handles question input and answer output via a web browser, in which case the website becomes the inquiry program.

[0027] The terminal communication unit 22 can communicate wirelessly with external devices such as the work vehicle 2 and the management server 4 via a wireless communication antenna. The terminal control device 20 controls the terminal communication unit 22 to communicate wirelessly with the work vehicle 2 and the management server 4, and sends and receives various information between the work vehicle 2 and the management server 4. The portable terminal 3 is connected to the management server 4 via a network for communication. The portable terminal 3 attached to the work vehicle 2 and capable of remote operation is connected to the work vehicle 2 for communication via short-range wireless communication, while the portable terminal 3 held by the worker is connected to the work vehicle 2 for communication via a network or short-range wireless communication.

[0028] Furthermore, the terminal control device 20 operates as a question input unit 30, an answer output unit 31, and a viewing unit 32 by executing a program stored in the terminal storage unit 21. The question input unit 30, the answer output unit 31, and the viewing unit 32 realize the questioning process, answering process, and viewing process of the method for explaining how to use the work vehicle 2 according to the present invention.

[0029] The question input unit 30 receives questions regarding the operation methods and abnormality response methods of the work vehicle 2 and work machine 2b, and transmits these questions to the management server 4 via the terminal communication unit 22. The question input unit 30 is implemented by the inquiry program described above.

[0030] For example, the question input unit 30 accepts questions such as, "I want to know where the switch to raise the implement is located," as a means of operating the implement 2b, which can be raised and lowered relative to the field.

[0031] In particular, the question input unit 30 receives questions from the operator via the terminal sound collection unit 26 and generates audio data of these questions. As shown in Figure 2, the question input unit 30 may start accepting audio question input in response to a question start operation on the inquiry screen 60 displayed on the terminal display unit 23 by the inquiry program, and may stop accepting audio question input and confirm the input audio in response to a question end operation on the inquiry screen 60. The inquiry screen 60 may have a question start button for starting a question and a question end button for ending a question, or it may have a question button that switches between a question start operation and a question end operation each time it is operated.

[0032] At this time, the question input unit 30 analyzes the audio of the question input via the terminal sound collection unit 26, converts the audio of the question into text, and generates text data.

[0033] The question input unit 30 may use artificial intelligence (AI) to analyze the audio of the question, and use a generating AI to generate text data based on the audio of the question. For example, the question input unit 30 generates a machine learning model (learning model) by machine learning the audio data of the operating means, abnormality response means, and similar terms of the work vehicle 2 and the work machine 2b, and stores it in the terminal storage unit 21 and the management server 4. Then, the question input unit 30 uses the machine learning model to analyze the audio of the input question using AI and generates text data that converts the audio of the question into text.

[0034] Furthermore, the question input unit 30 inputs questions from the worker in text format corresponding to the worker's arbitrary operations, and generates text data for these questions. The question input unit 30 may also accept text input in response to the worker's operations on the terminal operation unit 25 in the input form on the inquiry screen 60 displayed on the terminal display unit 23 by the inquiry program, and may confirm the entered text in response to operations such as the text confirmation button.

[0035] The question input unit 30 transmits text data of questions entered via voice or text data of questions entered via text to the management server 4 via the terminal communication unit 22. In this embodiment, an example has been described in which the question input unit 30 analyzes the voice of the question to generate text data. However, the present invention is not limited to this example, and the question input unit 30 may transmit voice data of the question to the management server 4, and the management server 4 may analyze the voice of the question to generate text data.

[0036] Furthermore, the question input unit 30 may accept image input and accept question input that refers to this image. The question input unit 30 may accept image attachment operation on the inquiry screen 60 described above and accept input of the attached image, or it may accept imaging operation of the terminal imaging unit 27 on the inquiry screen 60 described above and accept input of an image captured by the terminal imaging unit 27.

[0037] For example, the question input unit 30 accepts questions such as, "Where should I put the fertilizer shown in this picture?" as an operational means related to filling the fertilizer into the implement 2b that spreads fertilizer on the field. Also, for example, the question input unit 30 accepts questions such as, "The rice is clogged as shown in the picture. How should I deal with this?" as an abnormality response means for the implement 2b that performs harvesting work in the field.

[0038] The answer output unit 31 receives and outputs answers regarding operating means and error handling means for questions entered in the question input unit 30 from the management server 4 via the terminal communication unit 22. The answer output unit 31 is implemented by the inquiry program described above. The answer output unit 31 may output the relevant page in the instruction manual or parts catalog where the operating means or error handling means are described, or the location on that page where the operating means or error handling means are described, as the answer regarding the operating means or error handling means for the question.

[0039] In particular, the response output unit 31 receives the response from the management server 4 as text data and displays the text of the response indicated by this text data on the screen. The response output unit 31 also displays the text of the response indicated by the text data in the output form on the inquiry screen 60 displayed on the terminal display unit 23 by the inquiry program. The response output unit 31 may also display a list of the response history from the management server 4 on the inquiry screen 60 by subject, title, summary, and received date and time, and may display the response selected from that list in the output form according to the operator's arbitrary operation.

[0040] The answer output unit 31 may display in the output form a link to the relevant page in the instruction manual or parts catalog that describes the operating procedures or troubleshooting procedures for the question, or a link to the section on that page that describes the operating procedures or troubleshooting procedures.

[0041] Furthermore, the response output unit 31 receives the response from the management server 4 as text data, converts this text data into audio data, and outputs the audio of the response indicated by the text data via the terminal audio output unit 24. For example, the response output unit 31 outputs the audio of the response in response to the operation of the audio output button on the inquiry screen 60. The response output unit 31 may also display a list of the response history from the management server 4 on the inquiry screen 60, which is displayed on the terminal display unit 23 by the inquiry program, by title, subject, summary, and received date and time, and may output the audio of a response selected from that list according to the operator's arbitrary operation.

[0042] In this embodiment, an example was described in which the response output unit 31 converts the response text data into audio data and outputs it via the terminal audio output unit 24. However, the present invention is not limited to this example, and the management server 4 may convert the response text data into audio data, and the mobile terminal 3 may receive the response audio data from the management server 4 and output it via the terminal audio output unit 24.

[0043] The viewing unit 32 displays instruction manuals and parts catalogs on the terminal display unit 23 for viewing. The viewing unit 32 also allows the user to turn the pages of the displayed instruction manuals and parts catalogs according to their own actions. The viewing unit 32 is implemented by the viewing program described above.

[0044] Furthermore, if the response output unit 31 displays a link to the relevant page or location in the instruction manual or parts catalog as a response on the inquiry screen 60 described above, the viewing unit 32 should display the relevant page or location indicated by the link in response to the user's operation of the link.

[0045] The management server 4 is an external server for managing the work vehicles 2 and implements 2b. It manages vehicle information for the work vehicles 2, field information for each field, and instruction manuals, parts catalogs, and usage instructions for the work vehicles 2 and implements 2b. It is wirelessly connected to the work vehicles 2 and mobile terminals 3 via a network such as the Internet.

[0046] The management server 4 is equipped with a server control unit 40, which consists of a computer such as a CPU. The server control unit 40 is connected to a server storage unit 41, which includes ROM, RAM, hard disk drives, and flash memory, and a server communication unit 42, which communicates with external devices such as work vehicles 2 and mobile terminals 3. The server control unit 40 is also connected to a database 43 for storing machine learning models used by artificial intelligence (AI).

[0047] The server storage unit 41 stores programs and data for controlling various components and functions of the management server 4, and the server control device 40 controls the various components and functions of the management server 4 by executing calculations based on the programs and data stored in the server storage unit 41.

[0048] For example, the server storage unit 41 stores field information for each field, vehicle information for each work vehicle 2, and electronic data of instruction manuals and / or parts catalogs for each work vehicle 2 and / or each work machine 2b. The server control device 40 of the management server 4 receives field information and vehicle information from the connected work vehicles 2 and mobile terminals 3 and stores them in the server storage unit 41.

[0049] Furthermore, the server control device 40 of the management server 4 downloads the electronic data of the instruction manual and / or parts catalog using a predetermined download means and stores it in the server storage unit 41. For example, the server control device 40 downloads the instruction manual and parts catalog published on the internet via a website or the like. Alternatively, the server control device 40 downloads the instruction manual and parts catalog stored on an external storage medium 44 such as a USB memory stick.

[0050] Furthermore, the server storage unit 41 is aware of the instruction manuals and parts catalogs stored in the mobile terminal 3, in particular the mobile terminal 3 attached to the work vehicle 2 and capable of remotely controlling the work vehicle 2. For example, it is aware of the type and model number of the work vehicle 2 and work machine 2b corresponding to the instruction manual and parts catalog, as well as the version of the instruction manual and parts catalog.

[0051] The server communication unit 42 can communicate wirelessly with external devices such as the work vehicle 2 and the mobile terminal 3 via a wireless communication antenna. The server control device 40 controls the server communication unit 42 to communicate wirelessly with the work vehicle 2 and the mobile terminal 3, and transmits and receives various information between the two.

[0052] Furthermore, the server control device 40 operates as a learning unit 50, a question determination unit 51, and an answer creation unit 52 by executing a program stored in the server communication unit 42, and the management server 4 operates as an artificial intelligence server. The learning unit 50, the question determination unit 51, and the answer creation unit 52 realize the learning process, question process, and answer process of the method for explaining how to use the work vehicle 2 according to the present invention.

[0053] The learning unit 50 stores in the database 43 machine learning models (learned models) that have been trained on instruction manuals and parts catalogs for the work vehicles 2 and work machines 2b stored in the server storage unit 41.

[0054] For example, the learning unit 50 analyzes the text, illustrations, photographs, graphs, and tables contained in the instruction manual and parts catalog to determine what is written on which page and in which location in the instruction manual and parts catalog. The learning unit 50 also generates a machine learning model by learning the relationship between the components of the work vehicle 2 and work machine 2b, the media used by the work vehicle 2 and work machine 2b, the arrangement, operating means, and operation of these components and media, terms indicating abnormalities and countermeasures related to these components and media, and similar terms and related terms (inquiry terms), and the corresponding pages and locations in the instruction manual and parts catalog, and stores this model in the database 43.

[0055] Furthermore, the learning unit 50 may use artificial intelligence (AI) to analyze the contents of instruction manuals and parts catalogs, and use generative AI to determine the contents based on the instruction manuals and parts catalogs. For example, the learning unit 50 generates a machine learning model by machine learning terms used with respect to the work vehicle 2 and work machine 2b, and similar terms, and stores it in the database 43. Then, the learning unit 50 uses the machine learning model of terms used with respect to the work vehicle 2 and work machine 2b to analyze the contents of instruction manuals and parts catalogs using AI.

[0056] Furthermore, the learning unit 50 stores in the database 43 a machine learning model (learned model) that has been trained using the model numbers of parts and controllers attached to the work vehicle 2 and work machine 2b, in addition to the instruction manuals and parts catalogs for the work vehicle 2 and work machine 2b. For example, the learning unit 50 generates a machine learning model by learning from the model numbers of parts and controllers of the work vehicle 2 and work machine 2b, and the contents of the instruction manuals and parts catalogs that describe those parts and controllers.

[0057] The learning unit 50 periodically updates the instruction manuals and parts catalogs for the work vehicle 2 and work machine 2b, stores them in the server storage unit 41, and stores machine learning models that have been trained on the updated instruction manuals and parts catalogs in the database 43. The learning unit 50 may update the instruction manuals and parts catalogs automatically according to a predetermined period, or it may update them manually. In response to updates to the instruction manuals and parts catalogs, the learning unit 50 generates machine learning models that have been trained on the updated instruction manuals and parts catalogs.

[0058] For example, the learning unit 50 may update its manuals and parts catalogs by downloading them from websites or other sources on the internet. Alternatively, the learning unit 50 may update its manuals and parts catalogs by downloading them from an external storage medium 44, such as a USB memory stick.

[0059] In this case, the learning unit 50 may store both the instruction manuals and parts catalogs before the update and the instruction manuals and parts catalogs after the update in the server storage unit 41. In addition, the learning unit 50 may store both the machine learning model based on the instruction manuals and parts catalogs before the update and the machine learning model based on the instruction manuals and parts catalogs after the update in the database 43.

[0060] The question determination unit 51 receives the text data of the question entered into the mobile terminal 3 via the server communication unit 42 from the mobile terminal 3, and determines the content of the question by analyzing the text data.

[0061] The question determination unit 51 may use artificial intelligence (AI) to analyze text data, and use a generating AI to determine the content of the question based on the text data. For example, the question determination unit 51 generates a machine learning model by machine learning questions about operation means and anomaly response means, as well as similar terminology, and stores it in the database 43. The question determination unit 51 then analyzes the text data of the question using an AI based on a machine learning model and determines the content of the question contained in the text data.

[0062] The answer generation unit 52, based on a machine learning model that has been trained on instruction manuals and parts catalogs, uses artificial intelligence (AI) to create text data for the questions determined by the question determination unit 51, and transmits it to the mobile terminal 3 via the server communication unit 42. At this time, the answer generation unit 52 may create the text data for the answers to the questions using a generating AI.

[0063] The answer generation unit 52 may create text data that describes the operating procedures and error handling procedures as an answer to the question. Alternatively, the answer generation unit 52 may create text data that describes the relevant pages or sections of the instruction manual or parts catalog that describe the operating procedures and error handling procedures as an answer to the question, in which case it is preferable to include a link to the relevant page or section in the text data.

[0064] Furthermore, the response generation unit 52 may generate multiple response patterns for a question, assign a priority to each pattern, and send them to the mobile terminal 3. The response generation unit 52 may use artificial intelligence (AI) to determine the priority of each response pattern.

[0065] For example, the answer generation unit 52 may generate a machine learning model by learning the relationship between previously entered questions and answers to those questions, and the evaluation, frequency, etc., of those answers, and store it in the database 43. The answer generation unit 52 may then use the machine learning model to determine the priority of each answer pattern using AI.

[0066] Furthermore, if the answer creation unit 52 is unable to create an appropriate answer due to insufficient information in the question, it may provide information about the deficiencies in the question or points to supplement the question.

[0067] As described above, according to this embodiment, the instruction system 1 for the work vehicle 2 and / or work machine 2b has a learning unit 50 on the management server 4 that stores a learning model that has been machine-learned from the instruction manual and / or parts catalog of the work vehicle 2 and / or work machine 2b, a question input unit 30 and a question determination unit 51 on the mobile terminal 3 and the management server 4 respectively that input questions regarding the operating means or abnormality response means of the work vehicle 2 and / or work machine 2b, and an answer output unit 31 and an answer creation unit 52 on the mobile terminal 3 and the management server 4 respectively that create answers to questions based on the learning model.

[0068] In other words, in the present invention, the method for explaining how to use the work vehicle 2 and / or work machine 2b includes a learning step of accumulating a learning model that has been machine-learned from the instruction manual and / or parts catalog of the work vehicle 2 and / or work machine 2b; a questioning step of inputting questions concerning the operating means or abnormality response means of the work vehicle 2 and / or work machine 2b; and a response step of creating and outputting answers to the questions based on the learning model.

[0069] As a result, according to the present invention, artificial intelligence (AI) based on a machine learning model that has studied instruction manuals and parts catalogs can be used to determine the relevant page or section in the instruction manual or parts catalog for a given question. Furthermore, based on the relevant page or section in the instruction manual or parts catalog, an appropriate answer regarding the operating means and abnormality response means of the work vehicle 2 and work machine 2b can be generated and output in response to the question. Therefore, the time required for the operator to search for the necessary section in the instruction manual or parts catalog to answer the question can be reduced.

[0070] Furthermore, according to this embodiment, the learning unit 50 stores a learning model that has been machine-learned to include the model numbers of parts and / or controllers attached to the work vehicle 2 and / or work machine 2b, in addition to the instruction manual and / or parts catalog.

[0071] This helps to prevent incorrect answers from being generated for questions regarding parts and controllers for work vehicle 2 and work machine 2b.

[0072] Furthermore, according to this embodiment, the question input unit 30 and the question determination unit 51 receive a question in audio data format, analyze the audio data, and determine the content of the question.

[0073] This allows questions to be entered without requiring extra effort from the worker.

[0074] Alternatively, according to this embodiment, the question input unit 30 and the question determination unit 51 input a question in text data, analyze the text data, and determine the content of the question.

[0075] This allows for the input of questions that specify the worker's intentions in text form.

[0076] Furthermore, according to this embodiment, the learning unit 50 stores a learning model that has been machine-trained on the instruction manual and / or parts catalog in the database 43, and the answer output unit 31 and the answer creation unit 52 create answers to questions based on the learning model stored in the database 43.

[0077] Specifically, the learning unit 50 stores the learning model in the database 43 provided in the work vehicle 2.

[0078] Alternatively, the learning unit 50 stores the learning model in a database 43 located on the management server 4, which is an external server for the work vehicle 2.

[0079] This allows for the creation of appropriate answers to questions by referencing the learning models stored in database 43.

[0080] Furthermore, according to this embodiment, the answer output unit 31 and the answer creation unit 52 display and output the answer to the question on the screen.

[0081] This allows for the output of concrete answers to questions, such as operational procedures and error handling procedures, through text or other visual representations.

[0082] Alternatively, the answer output unit 31 and the answer creation unit 52 output the answer to the question in voice.

[0083] This allows for the output of voice commands for operations and error handling procedures in response to questions, eliminating the need for operators to visually confirm the answers.

[0084] Furthermore, according to this embodiment, the learning unit 50 updates the instruction manual and / or parts catalog, and stores a learning model that has been trained using the updated instruction manual and / or parts catalog.

[0085] Specifically, the learning unit 50 is updated by downloading instruction manuals and / or parts catalogs that are publicly available on the internet.

[0086] Alternatively, the learning unit 50 is updated by downloading instruction manuals and / or parts catalogs stored on an external storage medium 44 such as a USB memory stick.

[0087] This allows us to create more accurate answers based on the latest instruction manuals and parts catalogs.

[0088] In the above-described embodiment, the instruction system 1 operates the question input unit 30 and the answer output unit 31 using the computer of the terminal control device 20 of the mobile terminal 3, and the mobile terminal 3 receives questions and outputs answers. However, the present invention is not limited to this example.

[0089] In another example, the instruction system 1 may be configured to receive questions and output answers via the work vehicle 2 by operating the question input unit 30 and the answer output unit 31 from the computer of the vehicle control device 10 of the work vehicle 2. In this case, the work vehicle 2 may be equipped with a display device and operating device for receiving questions in text, a voice input device for receiving questions in voice, a display device for outputting answers in text, and a voice output device for outputting answers in voice.

[0090] Furthermore, in the above-described embodiment, the learning unit 50, question determination unit 51, and answer creation unit 52 in the instruction manual system 1 are operated by the computer of the server control device 40 of the management server 4 that manages the work vehicles 2 and work machines 2b, and the management server 4 is equipped with a database 43, thereby operating the management server 4 as an artificial intelligence server. However, the present invention is not limited to this example.

[0091] In another example, the instruction manual system 1 may operate the learning unit 50, the question determination unit 51, and the answer creation unit 52 on a computer of an artificial intelligence server other than the management server 4, and may also have a database 43 on such another artificial intelligence server. In this case, the learning unit 50, the question determination unit 51, and the answer creation unit 52 may operate as artificial intelligence (AI) or generative AI on the computer of such another artificial intelligence server. Furthermore, the work vehicle 2 and mobile terminal 3 that make inquiries for questions and answers will not only be able to communicate with the management server 4, but will also be able to communicate with such other artificial intelligence servers.

[0092] Alternatively, in another example, the instruction manual system 1 may operate the learning unit 50, the question determination unit 51, and the answer creation unit 52 on the computer of the vehicle control device 10 of the work vehicle 2 or the terminal control device 20 of the mobile terminal 3 that makes inquiries for questions and answers, and operate the work vehicle 2 or the mobile terminal 3 as an artificial intelligence server. In addition, the database 43 may be provided on the work vehicle 2 or the mobile terminal 3, or on another artificial intelligence server or other computer different from the management server 4. In this case, the learning unit 50, the question determination unit 51, and the answer creation unit 52 may operate as artificial intelligence (AI) or generative AI on the computer of the vehicle control device 10 of the work vehicle 2 or the terminal control device 20 of the mobile terminal 3. Furthermore, the work vehicle 2 or the mobile terminal 3 that makes inquiries for questions and answers may not only be able to communicate with the management server 4, but may also be able to communicate with the database 43 outside the management server 4.

[0093] In other words, according to this embodiment, the instruction system 1 only needs to include a question input unit 30, an answer output unit 31, a learning unit 50, a question determination unit 51, and an answer creation unit 52. Here, the question input unit 30, the answer output unit 31, the learning unit 50, the question determination unit 51, and the answer creation unit 52 may be executed by any of the computers of the vehicle control device 10 of the work vehicle 2, the terminal control device 20 of the mobile terminal 3, the server control device 40 of the management server 4, or other artificial intelligence servers.

[0094] In the embodiments described above, an example was given in which the work vehicle 2 is composed of a tractor, but the present invention is not limited to this example. For example, the work vehicle of the present invention may be composed of other agricultural machinery such as a combine harvester, rice transplanter, or lawnmower, or it may be composed of other work vehicles other than agricultural machinery.

[0095] Furthermore, the present invention may be modified as appropriate, provided that it does not contradict the gist or idea of ​​the invention as can be inferred from the claims and the specification as a whole, and such modification of the instruction method is also included in the technical concept of the present invention.

[0096] [Notes on the invention] The following is an overview of the invention extracted from the above-described embodiments. Note that each configuration and processing function described below can be selected and combined as desired.

[0097] <Note 1> Instructions for the use of work vehicles and / or work machines, A learning process for accumulating a learning model that has been machine-trained on the instruction manuals and / or parts catalogs of the aforementioned work vehicles and / or work machines, A questioning step for inputting questions regarding the operating means or abnormality response means of the work vehicle and / or the work machine, A method for providing instructions for use, characterized by comprising a response step of creating and outputting an answer to the question based on the learning model.

[0098] <Note 2> The instruction manual method according to Appendix 1, characterized in that the learning step accumulates a learning model that has been trained on the model numbers of parts and / or controllers attached to the work vehicle and / or work machine, in addition to the instruction manual and / or parts catalog.

[0099] <Note 3> The instruction manual method according to Appendix 1 or 2, characterized in that the questioning step involves inputting the question from audio data, analyzing the audio data, and determining the content of the question.

[0100] <Note 4> The instruction manual method according to Appendix 1 or 2, characterized in that the questioning step involves inputting the question as text data, analyzing the text data, and determining the content of the question.

[0101] <Note 5> The learning process involves storing the learning model, which has been trained on the instruction manual and / or the parts catalog, in a database. The instruction manual method according to any one of Appendix 1 to 4, characterized in that the response step generates an answer to the question based on the learning model stored in the database.

[0102] <Note 6> The instruction manual method according to Appendix 5, characterized in that the learning process involves storing the learning model in the database provided in the work vehicle.

[0103] <Note 7> The instruction manual method according to Appendix 5, characterized in that the learning process involves storing the learning model in the database provided on an external server of the work vehicle.

[0104] <Note 8> The instruction manual method according to any one of Appendix 1 to 7, characterized in that the response step involves displaying and outputting the answer to the question on a screen.

[0105] <Note 9> The instruction manual method according to any one of Appendix 1 to 7, characterized in that the response step outputs the answer to the question in voice.

[0106] <Note 10> The instruction manual method according to any one of the appendices 1 to 9, characterized in that the learning step updates the instruction manual and / or the parts catalog, and stores a learning model that has been trained on the updated instruction manual and / or the parts catalog.

[0107] <Note 11> The instruction manual method according to Appendix 10, characterized in that the learning process is updated by downloading the instruction manual and / or parts catalog published on the internet.

[0108] <Note 12> The instruction manual method according to Appendix 10, characterized in that the learning process is updated by downloading the instruction manual and / or the parts catalog stored on an external storage medium. [Explanation of symbols]

[0109] 1. Instruction System 2 Work vehicles 2b: Work equipment 3: Mobile devices 4: Management Server 10. Vehicle control system 11 Vehicle memory unit 20 Terminal control device 21 Terminal Storage Unit 23 Terminal display unit 24 Terminal audio output section 25 Terminal operation section 26 Terminal sound collection unit 27 Terminal imaging unit 30 Question Input Section 31. Answer Output Section 32 Reading Section 40 Server Control Units 41 Server Storage Unit 43 Databases 44 External storage medium 50 Learning Department 51 Question Judgment Department 52 Answer Creation Department 60 Inquiry Screen

Claims

1. Instructions for the use of work vehicles and / or work machines, A learning process for accumulating a learning model that has been trained on the instruction manuals and / or parts catalogs of the aforementioned work vehicles and / or work machines, A questioning step for inputting questions regarding the operating means or abnormality response means of the work vehicle and / or the work machine, A method for providing instructions for use, characterized by comprising a response step of creating and outputting an answer to the question based on the learning model.

2. The instruction manual method according to claim 1, characterized in that the learning step accumulates a learning model that has been trained on the model numbers of parts and / or controllers attached to the work vehicle and / or work machine, in addition to the instruction manual and / or parts catalog.

3. The instruction manual method according to claim 1, characterized in that the questioning step involves inputting the question from audio data, analyzing the audio data, and determining the content of the question.

4. The instruction manual method according to claim 1, characterized in that the questioning step involves inputting the question as text data, analyzing the text data, and determining the content of the question.

5. The learning process involves storing the learning model, which has been trained on the instruction manual and / or the parts catalog, in a database. The instruction manual method according to claim 1, characterized in that the response step generates an answer to the question based on the learning model stored in the database.

6. The instruction manual method according to claim 5, characterized in that the learning step involves storing the learning model in the database provided in the work vehicle.

7. The instruction manual method according to claim 5, characterized in that the learning step involves storing the learning model in the database provided on an external server of the work vehicle.

8. The instruction manual method according to claim 1, characterized in that the answer step involves displaying and outputting the answer to the question on a screen.

9. The instruction manual method according to claim 1, characterized in that the answering step outputs the answer to the question in voice.

10. The instruction manual method according to claim 1, characterized in that the learning step updates the instruction manual and / or the parts catalog, and stores a learning model that has been trained on the updated instruction manual and / or the parts catalog.

11. The instruction manual method according to claim 10, characterized in that the learning process is updated by downloading the instruction manual and / or the parts catalog published on the internet.

12. The instruction manual method according to claim 10, characterized in that the learning step is updated by downloading the instruction manual and / or the parts catalog stored on an external storage medium.