Work plan creation method and work plan creation system

Abstract

The invention provides a work plan creation method and a work plan creation system capable of easily creating an appropriate work plan for a field. A work vehicle (1) for traveling and working on a field is provided with: an information input unit (60) for inputting work plan information relating to a work plan for traveling and working by means of the work vehicle (1); a work plan creation unit (61) that creates a work plan on the basis of a learning model that performs machine learning on the inputted work plan information; and an information output unit (62) that outputs the created work plan to the work vehicle (1).

Description

Technical Field

[0001] This invention relates to a method and system for creating work plans for enabling work vehicles equipped with work machines to travel and work in fields. Background Technology

[0002] In the past, tractors and other work vehicles had the following structure: they were equipped with work machines for working in fields, and they could carry out work while driving automatically.

[0003] For example, in Patent Document 1, an autonomous driving work vehicle capable of automatic driving in an unmanned manner and a manned accompanying work vehicle that is steered by an operator accompanying the autonomous driving work vehicle are defined as tractors, and a rotary tillage device is respectively installed on the autonomous driving work vehicle and the accompanying work vehicle as a work machine.

[0004] Existing technical documents

[0005] Patent documents

[0006] Patent Document 1: Japanese Patent No. 6253678 Summary of the Invention

[0007] Regarding work vehicles, a work plan needs to be created in advance, including the travel path for automated movement while the work machine is operating. For existing work vehicles, creating this work plan requires inputting multiple items in stages, making it difficult for operators unfamiliar with work plan creation to do so.

[0008] For example, in the initial operation of a field, creating a work plan requires inputting machine-related information such as tire width and working width, or driving-related information such as turning method, turning radius, and drive type (two-wheel drive or four-wheel drive). Even for the same field, if the work vehicle or machine changes, all this information must be input to create a work plan each time. If the information is the same as in a previously created work plan, it adds to the operator's workload.

[0009] Furthermore, in the case of subsequent operations on a field, creating an operation plan requires selecting field information and driving routes used in previous operations. However, because the work vehicles accumulate multiple field information and driving routes due to repeated operations on various fields, selecting field information and driving routes is labor-intensive for the operators.

[0010] Furthermore, existing work vehicles cannot be used to create work plans corresponding to automated driving that follows a specific sequence (such as automated driving that first idles along the perimeter and then performs leveling work). In addition, existing work vehicles cannot be used to create work plans for automated driving that includes movement between fields. After moving between fields, it is necessary to create and select a driving path each time, which consumes labor.

[0011] The purpose of this invention is to provide a method and system for creating work plans that can easily create appropriate work plans for fields.

[0012] To address the aforementioned issues, the present invention provides a method for creating work plans for work vehicles used for driving and working in fields. The method comprises the following steps: an input step, in which work plan information related to the work plan for driving and working using the work vehicle is input; a creation step, in which a work plan is created based on a machine learning model applied to the input work plan information; and an output step, in which the created work plan is output to the work vehicle.

[0013] In addition, to solve the above-mentioned problems, the work plan creation system of the present invention is a work plan creation system for a work vehicle used for driving and working in fields. The work plan creation system is characterized by comprising: an input unit that inputs work plan information related to a work plan for driving and working using the work vehicle; a creation unit that creates a work plan based on a machine learning learning model of the input work plan information; and an output unit that outputs the created work plan to the work vehicle.

[0014] Invention Effects

[0015] According to the present invention, a method and system for creating work plans are provided that can easily create appropriate work plans for fields. Attached Figure Description

[0016] Figure 1 This is a side view illustrating an example of a work vehicle according to an embodiment of the present invention.

[0017] Figure 2 This is a block diagram of the work vehicle involved in the embodiments of the present invention.

[0018] Figure 3 This is a flowchart illustrating an example of the operation of creating a work plan for a work vehicle according to an embodiment of the present invention.

[0019] Explanation of reference numerals in the attached figures

[0020] 1…Work vehicle; 2…Vehicle body; 3…Work machine; 4…Control device; 5…Portable terminal; 6…Management server; 7…Artificial intelligence server; 13…Engine; 14…Transmission device; 15…Work machine lifting mechanism; 16…Positioning unit; 30…Vehicle display unit; 31…Vehicle voice output unit; 32…Vehicle operation unit; 33…Vehicle audio collection unit; 34…Vehicle camera unit; 41…Storage unit; 45…Driving control unit; 50…Control device; 51…Storage unit; 53…Terminal display unit; 54…Terminal voice output unit; 55…Terminal operation unit; 56…Terminal audio collection unit; 57…Terminal camera unit; 60…Information input unit (input unit); 61…Work plan creation unit (creation unit); 62…Information output unit (output unit). Detailed Implementation

[0021] Hereinafter, a work vehicle 1 according to an embodiment of the present invention will be described with reference to the accompanying drawings. The work vehicle 1 of the present invention performs work while driving in the field using the work machine 3, either automatically or manually. The work vehicle 1 of the present invention can be an agricultural work vehicle such as a tractor, combine harvester, rice transplanter, or lawn mower. In the following embodiment, the work vehicle 1 as a tractor will be described.

[0022] like Figure 1 As shown, the work vehicle 1 has a body 2 and a work machine 3, configured to move while using the body 2 to perform tasks such as tilling. Regarding the work vehicle 1, various work machines 3, such as rotary tillers, harrows, loaders, ploughers, and box-type scrapers, are mounted on the body 2 as needed. Additionally, as... Figure 2 As shown, the work vehicle 1 is equipped with a control device 4 that controls the movement of each part.

[0023] The work vehicle 1 can be set to either manual or automatic driving mode. When the manual driving mode is set, the work vehicle 1 can be manually driven in the field in accordance with the operator's operation of various control components (steering wheel, accelerator pedal, gear shift lever, etc.).

[0024] When the automatic driving mode is set, the work vehicle 1 uses the control device 4 to control the vehicle speed and steering so as to drive automatically along the set automatic driving path. In addition, the control device 4 controls the work machine 3 so as to perform automatic work that accompanies the automatic driving.

[0025] For example, when the work vehicle 1 is driven automatically to perform field work, firstly, the work vehicle 1 is driven manually to circle the outer perimeter of the field once, thereby obtaining information about the shape of the field. Then, based on the obtained information, the work vehicle 1 is driven automatically in the central work area of ​​the field while performing work, for example, by reciprocating along multiple straight paths in the central work area, or by repeatedly circling around the straight paths from the center of the field outwards. Furthermore, the work vehicle 1 is driven automatically in the field edges around the central work area along the outer perimeter of the field while performing work.

[0026] A pair of front wheels 10 are provided on the lower front side of the vehicle body 2, and a pair of rear wheels 11 are provided on the lower rear side of the vehicle body 2. A cab 12 for the operator (worker) is provided on the upper part of the vehicle body 2. Inside the cab 12 are a driver's seat and various operating components (steering wheel, accelerator pedal, gear shift lever, etc.).

[0027] Additionally, the vehicle body 2 is equipped with an engine 13, a transmission device 14, a lifting mechanism for the work machine 15, and a positioning unit 16 (see reference). Figure 2 ) and control device 4.

[0028] An engine 13 is built into the front of the vehicle body 2, and a transmission device 14 is provided between the left and right rear wheels 11. The transmission device 14 is used to change the speed of the engine 13 and transmit the power to each front wheel 10 and each rear wheel 11.

[0029] A pair of lower connecting rods 18, an upper connecting rod 19, and a PTO shaft 20 are connected to the rear of the transmission device 14. Each of the lower connecting rods 18, upper connecting rods 19, and PTO shaft 20 extends rearward. The working machine 3 is connected to the rear end of each of the lower connecting rods 18, upper connecting rods 19, and PTO shaft 20 and is driven by the PTO shaft 20.

[0030] The lifting mechanism 15 of the work machine includes: a pair of left and right lifting arms 21; and a lifting cylinder 22, which is composed of a hydraulic cylinder. The end of one lifting arm 21 is connected to a lower connecting rod 18 via a connecting rod member 23, and the end of the other lifting arm 21 is connected to another lower connecting rod 18 via a rotary cylinder 24. The lifting mechanism 15 can change the height of the work machine 3 supported on the vehicle body 2 by driving the lifting cylinder 22.

[0031] The work machine 3, for example, comprises a rotary mechanism and a leveling harrow, and includes a tillage hood 25 extending in the left-right direction. A tillage rotary shaft 26, having a rotating axis extending in the left-right direction, is rotatably mounted on the tillage hood 25, and rotates using power transmitted from the PTO shaft 20. Furthermore, multiple tillage claws 27 are spaced apart from the tillage rotary shaft 26 in the left-right direction. The work machine 3 is configured such that the tillage claws 27 and the tillage rotary shaft 26 rotate together relative to the soil of the field to perform tillage.

[0032] The positioning unit 16 is configured to obtain the position information (positioning point) of the work vehicle 1 by using a satellite positioning system such as GNSS, receive positioning signals from the positioning satellite by means of a positioning antenna, and obtain the position information of the positioning unit 16, i.e. the position information of the work vehicle 1, based on the positioning signals.

[0033] The driver's cab 12, and surrounding the driver's seat, includes a vehicle display unit 30 such as an LCD screen, a vehicle voice output unit 31 such as a speaker, a vehicle operation unit 32 such as a keyboard and various buttons, and a vehicle sound collection unit 33 such as a microphone. The vehicle display unit 30, controlled by the control device 4, displays various information to the operator. The vehicle voice output unit 31, controlled by the control device 4, outputs various information to the operator via voice. The vehicle operation unit 32, controlled by the control device 4, accepts information input based on the operator's manual operations. The vehicle sound collection unit 33, controlled by the control device 4, accepts information input via voice input from the operator. Furthermore, the vehicle display unit 30 and the vehicle operation unit 32 can be integrated into a single touch panel.

[0034] Additionally, a vehicle imaging unit 34 is provided on the vehicle body 2 to capture images of the area around the vehicle body 2, the area around the work machine 3, and the operating status of the work machine 3. The vehicle imaging unit 34 is controlled by the control device 4 to capture images of the area around the vehicle body 2, the area around the work machine 3, and the operating status of the work machine 3, and inputs each image to the control device 4. Furthermore, regarding the vehicle imaging unit 34, the imaging devices for capturing images of the area around the vehicle body 2, the area around the work machine 3, and the operating status of the work machine 3 can have the same structure, or they can be different.

[0035] Next, the control device 4 will be described. The control device 4 consists of a computer such as a CPU, for example... Figure 2 As shown, a storage unit 41, including ROM, RAM, hard disk drive, and flash memory, and a communication unit 42 are connected. This communication unit 42 communicates with external devices such as the portable terminal 5, the management server 6 of the management vehicle 1, and the artificial intelligence server 7. Furthermore, in Figure 2 The example shown is that a management server 6 and an artificial intelligence server 7 are set up independently, or the artificial intelligence server 7 can also be included in the management server 6.

[0036] The storage unit 41 stores programs and data for controlling various structural elements and functions of the work vehicle 1. The control device 4 performs calculations based on the programs and data stored in the storage unit 41 to control the various structural elements and functions. For example, the control device 4 controls the positioning unit 16 to obtain the position of the work vehicle 1. The control device 4 performs actions as the driving control unit 45 by executing the programs stored in the storage unit 41.

[0037] The communication unit 42 can communicate wirelessly with external devices such as the portable terminal 5, management server 6, and artificial intelligence server 7 held by the operator via a wireless communication antenna. The control device 4 controls the communication unit 42 to communicate wirelessly with the portable terminal 5, management server 6, and artificial intelligence server 7, and to send and receive various information with the portable terminal 5, management server 6, and artificial intelligence server 7.

[0038] The driving control unit 45 controls the engine 13, transmission device 14, and steering device (not shown) to control the speed and steering of the work vehicle 1, and controls the lifting mechanism 15 and PTO shaft 20 of the work machine to control the operation of the work machine 3, thereby controlling the driving operation of the work vehicle 1.

[0039] For example, when the automatic driving mode is set, the driving control unit 45 controls the automatic driving of the work vehicle 1 based on the driving path of the work plan set for the field. At this time, the driving control unit 45 receives and acquires the work plan, including the field information and the driving path, from the portable terminal 5. If automatic driving starts, the driving control unit 45 acquires the position of the work vehicle 1 from the positioning unit 16, and controls each part based on its own position, field information, and driving path so that the work vehicle 1 can perform automatic driving operations along the driving path.

[0040] The portable terminal 5 is one of the structural elements of the work vehicle 1 and is a terminal capable of remotely operating the work vehicle 1. It can be, for example, a tablet terminal with a touch panel or a laptop-type personal computer. In this invention, the work vehicle 1 and the portable terminal 5 constitute a work plan creation system.

[0041] like Figure 2 As shown, the portable terminal 5 has a control device 50 composed of a computer such as a CPU. The control device 50 is connected to a storage unit 51 such as a ROM, RAM, hard disk drive, flash memory, etc., and a communication unit 52 that communicates with external devices such as the work vehicle 1, management server 6, and artificial intelligence server 7.

[0042] The portable terminal 5 includes a terminal display unit 53 such as an LCD screen, a terminal voice output unit 54 such as a speaker, a terminal operation unit 55 such as a keyboard and various buttons, and a terminal sound collection unit 56 such as a microphone. The terminal display unit 53 is controlled by the control device 50 to display various information to the operator. The terminal voice output unit 54 is controlled by the control device 50 to output various information to the operator via voice. The terminal operation unit 55 is controlled by the control device 50 to accept information input based on the operator's manual operation. The terminal sound collection unit 56 is controlled by the control device 50 to accept information input via voice input from the operator. Furthermore, the terminal display unit 53 and the terminal operation unit 55 can be configured as an integrated touch panel.

[0043] The portable terminal 5 has a terminal imaging unit 57 for capturing images of the area around the vehicle body 2, the area around the work machine 3, and the working status of the work machine 3. The terminal imaging unit 57 is controlled by the control device 50 to capture images of the area around the vehicle body 2, the area around the work machine 3, and the working status of the work machine 3, and inputs each image to the control device 50.

[0044] The storage unit 51 stores programs and data for controlling various structural elements and functions of the portable terminal 5. The control device 50 performs calculations based on the programs and data stored in the storage unit 51 to control various structural elements and functions of the portable terminal 5.

[0045] The storage unit 51 stores field information of the field that is the target of the work vehicle 1. The field information includes, for example, the shape, size, and location information (coordinates, etc.) of the field edges that constitute the perimeter of the field, and the shape, size, and location information (coordinates, etc.) of the work area of ​​the field. In addition, the field information includes the shape, size, and location information (coordinates, etc.) of unworked land that has not yet been worked on, and the shape, size, and location information (coordinates, etc.) of worked land that has been completed.

[0046] In addition, the storage unit 51 stores the work vehicle information of the work vehicle 1 and the work machine information of the work machine 3 mounted on the work vehicle 1. For example, the work vehicle information includes inherent information such as the model and size of the work vehicle 1, the tire width (in the case of a scaled-up model of the work vehicle 1, the tire width and the scaled-up width), the speed while driving, the speed while working, the speed while turning, and other setting information that can be arbitrarily set. The work machine information includes inherent information such as the model and type of the work machine 3, the length from the center to the left end of the work machine, the length from the center to the right end of the work machine, the working width, the working length, the length to the working center, the offset width, the overlap width, and other setting information that can be arbitrarily set.

[0047] Furthermore, the storage unit 51 stores path creation information and operator information representing the characteristics of path creation in the field.

[0048] The communication unit 52 can communicate wirelessly with external devices such as the work vehicle 1, management server 6, and artificial intelligence server 7 via a wireless communication antenna. The control device 50 controls the communication unit 52 to communicate wirelessly with the work vehicle 1, management server 6, and artificial intelligence server 7, thereby sending and receiving various information between them.

[0049] Furthermore, the control device 50 executes the program stored in the storage unit 51, thereby performing operations as the information input unit 60 (input unit), the job plan creation unit 61 (creation unit), and the information output unit 62 (output unit). In addition, the information input unit 60, the job plan creation unit 61, and the information output unit 62 implement the input process, the creation process, and the output process of the job plan creation method according to the present invention.

[0050] The information input unit 60 inputs work plan information related to the work plan used to drive and operate the work vehicle 1. The information input unit 60 inputs the work plan information based on any operation by the operator and with the help of the terminal operation unit 55 and the terminal audio unit 56. For example, the information input unit 60 displays the work plan information input screen on the terminal display unit 53, and the work plan information is input through the input operation on the input screen.

[0051] As work plan information, the information input unit 60 inputs at least one of the following: work vehicle information of work vehicle 1, work machine information of work machine 3, field information of the field where the work is carried out, path creation information indicating the characteristics of path creation in the field, and worker information of the worker.

[0052] As information about the work vehicle, the information input unit 60 inputs inherent information such as the model and size of the work vehicle 1, as well as setting information such as the vehicle speed while driving, the vehicle speed while working, and the vehicle speed while turning. For example, the information input unit 60 can input all work vehicle information manually, based on any manual operation by the operator using the terminal display unit 53 and the terminal operation unit 55. Alternatively, the information input unit 60 can input the model of the work vehicle 1 from the work vehicle information manually, based on any manual operation by the operator using the terminal display unit 53 and the terminal operation unit 55, and automatically detect and input other inherent information and setting information associated with the model from the storage unit 51 and the management server 6 as automatic input information. In this case, the information input unit 60 can use the terminal display unit 53, etc., to prompt the operator in a selectable manner the various types and models of the work vehicle 1 stored in the storage unit 51 and the management server 6, and allow the operator to select and input the information based on any manual operation by the operator using the terminal display unit 53 and the terminal operation unit 55.

[0053] As machine information, the information input unit 60 inputs inherent information such as the model and type of the machine 3, as well as setting information such as the length from the center to the left end of the machine, the length from the center to the right end of the machine, the working width, the working length, the length to the working center, the offset width, and the overlap width. For example, the information input unit 60 can input all machine information as manual input information based on any manual operation by the operator using the terminal display unit 53 and the terminal operation unit 55. Alternatively, the information input unit 60 can input the model of the machine 3 from the machine information as manual input information based on any manual operation by the operator using the terminal display unit 53 and the terminal operation unit 55, and automatically detect and input other inherent information and setting information associated with the model as automatic input information from the storage unit 51 and the management server 6. At this time, the information input unit 60 can use the terminal display unit 53 and the like to prompt the operator with various types and models of the work machines 3 stored in the storage unit 51 and the management server 6 in a selectable manner, and the operator can select and input according to any manual operation of the terminal display unit 53 and the terminal operation unit 55.

[0054] As field information, the information input unit 60 inputs information such as the shape, size, and location of the field ends, the shape, size, and location of the work area, and the shape, size, and location of unworked and worked fields. The information input unit 60 can input the field information of one field being worked on, or it can input the field information of two or more fields being worked on. For example, the information input unit 60 can input all field information manually based on any manual operation by the operator using the terminal display unit 53 and the terminal operation unit 55. Alternatively, the information input unit 60 can input a field selection based on any manual operation by the operator using the terminal display unit 53 and the terminal operation unit 55, and automatically detect and input other field information associated with the selected field from the storage unit 51 and the management server 6 as automatic input information. At this time, the information input unit 60 can use the terminal display unit 53 and the like to prompt the operator with various fields stored in the storage unit 51 and the management server 6 in a selectable manner, and the operator can select and input the fields according to any manual operation of the terminal display unit 53 and the terminal operation unit 55.

[0055] As path creation information, the information input unit 60 inputs information representing unique path creation features, such as the work sequence of the driving path in the field, the direction of the driving path, and the start and end positions of the driving path. The work vehicle 1 can create, for example, a driving path that divides the field into one work area and covers it in a single stroke, or a driving path that divides the field into a central work area and an edge area and covers both areas in a single stroke. Furthermore, the work vehicle 1 can operate on the created driving path in either manual or automatic driving mode.

[0056] For example, as path creation information, the information input unit 60 inputs the type of work performed along the travel path (e.g., tilling, leveling, sowing, weeding, spreading fertilizer, harvesting, etc.) and the width of the ridges that affect the width of the travel path. Additionally, as path creation information, the information input unit 60 inputs the type of work machine related to the left-right offset of the work machine 3 relative to the vehicle body 2 (e.g., no offset, offset to the right (reciprocating travel), offset to the right (circling travel), etc.).

[0057] In addition, as path creation information, the information input unit 60 inputs the field operation method related to the operation in the field area. For example, as the field operation method, the driving mode (manual driving mode or automatic driving mode) in the field area and the circling direction in the field area (which can be set for automatic driving, either clockwise or counterclockwise) are input.

[0058] In addition, as path creation information, the information input unit 60 inputs the operation sequence of the central work area and the field area (which can be set for automatic driving, such as inner work → field operation, field operation → inner work, inner work only, inner work only (only forward turning), outer idling → inner work → field operation, etc.). Furthermore, inner work refers to driving within the central work area, field operation refers to driving within the field area, and outer idling refers to driving without performing any work. Moreover, the standard operation sequence can be preset as "inner work → field operation".

[0059] In addition, as path creation information, the information input unit 60 inputs the path mode (round trip or circular travel) related to the operation in the central work area, as well as the start and end positions of the automatic travel. Furthermore, as path creation information, the information input unit 60 inputs the turning method (U-turn, fishtail turn, hook turn, etc.) for inside work and the turning radius, as well as the turning method and turning radius for end work.

[0060] Furthermore, for work vehicle 1 that is not a scaling device, if a scaling width is input as work vehicle information, the information input unit 60 converts the scaling width into a tire tread width and sets it as work vehicle information. For work vehicle 1 that is a scaling device, if a tire tread width is input as work vehicle information, the information input unit 60 converts the tire tread width into a scaling width and sets it as work vehicle information. If neither tire tread width nor scaling width is input as work vehicle information, but a ridge width is input as path creation information, the information input unit 60 converts the ridge width into either tire tread width or scaling width and sets it as work vehicle information.

[0061] For example, the information input unit 60 can input all path creation information as manual input information based on any manual operation performed by the operator using the terminal display unit 53 and the terminal operation unit 55. Furthermore, the information input unit 60 can use the terminal display unit 53, etc., to prompt the operator with multiple options for each item of the path creation information stored in the storage unit 51 and the management server 6 in a selectable manner, and the operator can select and input the information based on any manual operation performed by the operator using the terminal display unit 53 and the terminal operation unit 55.

[0062] Alternatively, the information input unit 60 can input the various items of the route creation information using text recorded based on any manual operation performed by the operator using the terminal display unit 53 and the terminal operation unit 55. Alternatively, regardless of the items in the route creation information, the information input unit 60 can input unique route creation features using text recorded in a written, line-by-line manner based on any manual operation performed by the operator using the terminal display unit 53 and the terminal operation unit 55. Furthermore, the information input unit 60 can input the start and end positions of the autonomous driving as location information, or it can select and input these positions on the map displayed on the screen.

[0063] As operator information, the information input unit 60 will input the operator's name, operator identification information, and the specific work vehicle and machine information for each operator. For example, the information input unit 60 can input all operator information manually based on any manual operation performed by the operator using the terminal display unit 53 and the terminal operation unit 55. Alternatively, the information input unit 60 can select and input the operator's name and operator identification information from the operator information based on any manual operation performed by the operator using the terminal display unit 53 and the terminal operation unit 55, and automatically detect and input other operator information of the selected operator from the storage unit 51 and the management server 6 as automatic input information. In this case, the information input unit 60 can use the terminal display unit 53, etc., to prompt the operator with the operator's name and operator identification information of multiple operators stored in the storage unit 51 and the management server 6 in a selectable manner, and allow the operator to select and input the information based on any manual operation performed by the operator using the terminal display unit 53 and the terminal operation unit 55.

[0064] The work plan creation unit 61 creates a work plan based on the work plan information input by the information input unit 60. For example, the work plan creation unit 61 displays a work plan creation screen on the terminal display unit 53, and the work plan is created by operating the creation instructions on the creation screen. Furthermore, the input screen based on the work plan information from the information input unit 60 and the creation screen based on the work plan from the work plan creation unit 61 can be the same screen or different screens.

[0065] For example, as a work plan, the work plan creation unit 61 creates a work plan information list that enumerates the input work plan information. Furthermore, regarding multiple types of work vehicles 1, multiple types of work machines 3, multiple fields, and multiple workers, the work plan creation unit 61 can create work plan information lists for various combinations. Additionally, the work plan creation unit 61 can create work plan information lists for two or more fields. That is, the work plan creation unit 61 creates a work plan for a period of work travel where the work vehicle 1 travels through the field while the work machine 3 performs work, without changing the type of work vehicle 1, the type of work machine 3, or the worker.

[0066] Furthermore, when path creation information is input using text in the information input unit 60, the work plan creation unit 61 extracts each item of path creation information contained in the text by parsing the text and adds it to the work plan information list.

[0067] For example, when the input text reads "First, perform peripheral idling → then perform leveling work," the work planning creation unit 61 extracts the terms "outer idling" and "leveling work" from the text. As the work sequence, it extracts "outer idling" as the first item and "leveling work" as the second. Based on the term "leveling work," the work planning creation unit 61 detects that the work type is "leveling" and that the work sequence for the central work area and the field area is not specified, thus determining that the work sequence for the central work area and the field area is "inner work → field work." Furthermore, as path creation information, the work planning creation unit 61 sets the work type for "leveling" and the work sequence as "outer idling → inner work → field work."

[0068] Furthermore, for example, if the input text states "the turning radius for inner perimeter work is 4m, and the turning radius for outer perimeter work is 5m," the work planning creation unit 61 extracts the combination of the terms "inner perimeter work," "turning radius," and "4m" from the text, as well as the combination of the terms "outer perimeter work," "turning radius," and "5m," and determines that the term "outer perimeter work" is "field work." Moreover, as path creation information, the work planning creation unit 61 sets the turning radius to 4m for inner perimeter work and sets it to 5m for field work.

[0069] Furthermore, for example, if the input text reads "Read the work path information from previous operations and automatically generate the work path," the work planning creation unit 61 extracts the combination of terms "previous operations," "operations," "work path information," and "read," as well as the combination of terms "work path" and "automatically generated," from the text, thereby determining that the term "peripheral work" is "field work." Based on the terms "previous operations" and "work path information," the work planning creation unit 61 determines that it is the work path information from the previous operation, reads the work path information from the storage unit 51 and the management server 6, and sets it as the path creation information for this operation. Furthermore, the work planning creation unit 61 creates a travel path based on this path creation information, using the terms "work path" and "automatically generated."

[0070] Furthermore, the work plan creation unit 61 can utilize artificial intelligence (AI) to parse the text input as work plan information and use AI to set work plan information based on that text. For example, the work plan creation unit 61 generates a machine learning model by performing machine learning on each item and similar terminology of the work plan information (work vehicle information, work machine information, field information, route creation information, worker information), as well as the information set for each item and similar terminology, and stores it in the storage unit 51 and the artificial intelligence server 7. Moreover, the work plan creation unit 61 uses the machine learning model and AI to parse the text input as work plan information and determines the work plan information contained in the text and the information set in that work plan information.

[0071] Furthermore, as a work plan, the work plan creation unit 61 creates a travel path in the designated field for automatic movement while the work machine 3 is operating, based on the input work plan information. At this time, the work plan creation unit 61 can create the travel path in the following manner: for the field determined by the field information, the work vehicle 1 determined by the work vehicle information and the work machine 3 determined by the work machine information perform work movement according to the features determined by the path creation information. Moreover, the work plan creation unit 61 can create a travel path regardless of whether the work vehicle 1 moves manually or automatically.

[0072] Furthermore, the work plan creation unit 61 can use artificial intelligence (AI) to determine appropriate driving routes or driving methods based on work plan information, and can use generation AI to create appropriate driving routes based on work plan information.

[0073] For example, the work plan creation unit 61 generates a machine learning model by performing machine learning on the information and combinations thereof set for each item in the work plan information (work vehicle information, work machine information, field information, route creation information, and worker information), and stores it in the storage unit 51 and the artificial intelligence server 7. Furthermore, the work plan creation unit 61 generates a machine learning model by performing machine learning on the driving path or driving mode that satisfies the information or combinations thereof set in the work plan information, and stores it in the storage unit 51 and the artificial intelligence server 7.

[0074] Furthermore, the work plan creation unit 61 uses a machine learning model and AI to determine the appropriate driving route or mode of transportation based on the input work plan information. Additionally, it uses a machine learning model and generative AI to create a driving route deemed appropriate based on the work plan information. When determining the driving mode, the work plan creation unit 61 creates the driving route based on the work vehicle information, the work machine information, the field information, and the driving mode.

[0075] Furthermore, when the work plan creation unit 61 operates on the work plan creation instruction, if it is determined that the input of work plan information for creating the work plan is insufficient, the information output unit 62 notifies the user of other work plan information that should be added for creating the work plan by displaying the screen on the terminal display unit 53 and outputting the voice on the terminal voice output unit 54.

[0076] Furthermore, in order to create a work plan, the work plan creation unit 61 can utilize artificial intelligence (AI) to generate a machine learning model by performing machine learning on the currently input work plan information and other work plan information that should be added, and store it in the storage unit 51 and the artificial intelligence server 7. Moreover, the work plan creation unit 61 can use the machine learning model and the generating AI to create a list of other work plan information that should be added based on the currently input work plan information.

[0077] The information output unit 62 outputs the work plan created by the work plan creation unit 61 to the terminal display unit 53, the work vehicle 1, etc. For example, the information output unit 62 displays and outputs the work plan information list and travel route created as the work plan on the terminal display unit 53. In addition, the information output unit 62 sends the work plan information list and travel route created as the work plan to the work vehicle 1 via the communication unit 52. Alternatively, the information output unit 62 may, based on or replacing the travel route, send driving instructions (instructions for the automatic driving of the work vehicle 1 and instructions for the operation of the work machine 3) based on the created travel route to the work vehicle 1 via the communication unit 52 in order to control the automatic driving operation of the work vehicle 1.

[0078] Furthermore, the information output unit 62 can control the automatic driving operation of the work vehicle 1 based on the work plan information list and the driving route. It utilizes artificial intelligence (AI) to generate a machine learning model by performing machine learning on the work plan information list, the driving route, and the corresponding driving instructions, and stores this model in the storage unit 51 and the artificial intelligence server 7. Moreover, the information output unit 62 can use the machine learning model and the generated AI to create driving instructions corresponding to the work plan information list and the driving route.

[0079] Furthermore, the information input unit 60 can accept input from the operator regarding the inappropriateness or reasons for inappropriateness of the driving route after it has been output by the information output unit 62. For example, the information input unit 60 can input the inappropriateness of the driving route using text written in a line-by-line manner, based on any manual operation by the operator using the terminal display unit 53 and the terminal operation unit 55. If the inappropriateness of the driving route is input, the information input unit 60 feeds it back to the work plan creation unit 61 and instructs the re-creation of the driving route.

[0080] In this case, the work plan creation unit 61 determines whether a suitable driving route can be recreated based on the currently input work plan information, considering the reason why the driving route is inappropriate. If it is determined that a suitable driving route can be recreated, the work plan creation unit 61 recreates the suitable driving route, and the information output unit 62 outputs the recreated driving route. On the other hand, if it is determined that a suitable driving route cannot be recreated, the work plan creation unit 61 notifies the user of additional work plan information that should be added to recreate a suitable driving route through screen display on the terminal display unit 53 and voice output on the terminal voice output unit 54.

[0081] Furthermore, in order to recreate an appropriate driving route, the work plan creation unit 61 can utilize artificial intelligence (AI) to generate a machine learning model by performing machine learning on the currently input work plan information and other work plan information that should be added, and store it in the storage unit 51 and the artificial intelligence server 7. Moreover, the information output unit 62 can use the machine learning model and the generated AI to create a list of other work plan information that should be added based on the currently input work plan information.

[0082] Next, refer to Figure 3 The flowchart below illustrates an example of the operation of creating a work plan for the work vehicle 1 in this embodiment. Furthermore, the work operations of the work vehicle 1 are performed in the field as needed, but these will be omitted from the following description.

[0083] First, if the operator uses the portable terminal 5 to input at least one of the following work plan information: the work vehicle information of the work vehicle 1 of the object being driven and operated (work driving), the work machine information of the work machine 3 of the object being driven, the field information of the field of the object being driven, the path creation information indicating the characteristics of the driving path of the object being driven, and the operator's operator information, then the information input unit 60 inputs the work plan information according to the input operation (step S1).

[0084] In addition, if the operator uses the portable terminal 5 to perform the operation of the work plan creation instruction (step S2), the work plan creation unit 61 determines whether the input of work plan information for creating the work plan is insufficient (step S3).

[0085] If the input of work plan information is sufficient (step S3: No), the work plan creation unit 61 creates a work plan based on the input work plan information (step S4).

[0086] If the input of work plan information is insufficient (step S3: Yes), the work plan creation unit 61 notifies the operator of additional work plan information that should be added in order to create the work plan (step S5). If the operator uses the portable terminal 5 to input the additional work plan information that should be added (step S6), the work plan creation unit 61 creates the work plan based on the input work plan information (step S4).

[0087] In addition, regarding the portable terminal 5, the information output unit 62 outputs the created work plan to the terminal display unit 53, the work vehicle 1, etc. (step S7).

[0088] The operator confirms the output work plan and determines whether the work plan in the driving path is inappropriate. If the driving path is not inappropriate, the operator does not use the portable terminal 5 but inputs the situation of inappropriate driving path (step S8: No), ends the work plan creation action, and performs the work driving of the work vehicle 1 based on the created work plan.

[0089] If the driving route is inappropriate, the operator inputs the inappropriateness using the portable terminal 5 (step S8: Yes). In this case, the work plan creation unit 61 notifies the operator of additional work plan information that should be added to recreate the inappropriate driving route (step S5). If the operator inputs additional work plan information using the portable terminal 5 (step S6), the work plan creation unit 61 recreates the driving route of the work plan based on the input work plan information (step S4).

[0090] Furthermore, the information output unit 62 outputs the work plan, including the recreated travel route, to the terminal display unit 53, the work vehicle 1, etc. (step S7). Thus, a work plan including a travel route that conforms to the operator's intentions is created.

[0091] As described above, according to this embodiment, the work vehicle 1 for driving and working in fields includes: an information input unit 60, which inputs work plan information related to a work plan for driving and working using the work vehicle 1; a work plan creation unit 61, which creates a work plan based on a learning model that performs machine learning on the input work plan information; and an information output unit 62, which outputs the created work plan to the work vehicle 1.

[0092] In other words, in this invention, the method for creating a work plan for a work vehicle 1 used for driving and working on fields includes the following steps: an input step, in which work plan information related to the work plan for driving and working on the work vehicle 1 is input; a creation step, in which a work plan is created based on a machine learning model of the input work plan information; and an output step, in which the created work plan is output to the work vehicle 1.

[0093] Specifically, according to the work vehicle 1 of this embodiment, as work plan information, the information input unit 60 inputs at least one of the following: work vehicle information related to work vehicle 1, work machine information related to work machine 3 installed on work vehicle 1, field information related to field where work vehicle 1 performs work, path creation information indicating path creation features, and operator information.

[0094] Therefore, according to the present invention, by inputting the required work plan information, an appropriate work plan corresponding to the input work plan information can be created based on a machine learning model that performs machine learning on the work plan information. Thus, even operators (workers) unfamiliar with work plan creation can easily create appropriate work plans for their fields.

[0095] In addition, according to the work vehicle 1 of this embodiment, as work plan information, the information input unit 60 inputs manually input information based on the operator's manual operation and automatically detected and input information.

[0096] Therefore, according to the present invention, by manually inputting the minimum required work plan information, other required work plan information can be automatically input, so that even operators who are not familiar with the creation of work plans can easily create appropriate work plans for the field.

[0097] Furthermore, according to the work vehicle 1 of this embodiment, if it is determined that the input of work plan information is insufficient or that the work plan created by the operator is inappropriate, the work plan creation unit 61 will notify the operator of any additional work plan information that should be added.

[0098] Therefore, according to the present invention, a learning model based on machine learning can be used to determine the additional work plan information required to create an appropriate work plan, and an appropriate work plan corresponding to the additional work plan information can be created. Thus, even operators (workers) unfamiliar with work plan creation can easily create appropriate work plans for their fields based on the additional work plan information.

[0099] Furthermore, in the above embodiments, the following example was described: the information input unit 60 inputs work plan information such as work vehicle information, work machine information, field information, path creation information, and worker information based on any manual operation by the operator using the terminal display unit 53 and the terminal operation unit 55, but the present invention is not limited to this example.

[0100] In a first variation of this embodiment, regarding operation in the field, the information input unit 60 can input instructions for work plan information via the terminal voice collection unit 56. Furthermore, in this first variation, regarding operation in the field, the information input unit 60 can input not only instructions for work plan information but also operation instructions for operation via the terminal voice collection unit 56. For example, regarding the portable terminal 5, the input start button for voice instructions can be operated using the terminal display unit 53 and the terminal operation unit 55; when the input start button is operated, voice instructions received via the terminal voice collection unit 56 are accepted.

[0101] At this time, the information input unit 60 performs voice analysis on the voice messages of the input instructions for the work plan information and the operation instructions for the work operation input by means of the terminal audio collection unit 56, thereby translating the input instructions and operation instructions into text and generating text data.

[0102] Furthermore, the information input unit 60 can utilize artificial intelligence (AI) to perform voice parsing of voice messages and can use AI to generate text data based on the voice messages. For example, the information input unit 60 generates a machine learning model by performing machine learning on voice data of input instructions for work plan information, operation instructions for work operation, and similar terms, and stores it in the storage unit 51 and the artificial intelligence server 7. Moreover, the information input unit 60 uses the machine learning model and AI to parse the voice messages of input instructions for work plan information and operation instructions for work operation, and generates text data that transcribes the voice messages.

[0103] In addition, the information input unit 60 determines the content of the input instructions for work plan information and the operation instructions for work operation contained in the text data by parsing the text data that enables the voice message to be transcribed into text.

[0104] Furthermore, the information input unit 60 can utilize artificial intelligence (AI) to parse text data and can use AI to determine the content of input instructions and operation instructions based on the text data. For example, the information input unit 60 generates a machine learning model by performing machine learning on text data of input instructions for work plan information, operation instructions for work execution, and similar terms, and stores it in the storage unit 51 and the artificial intelligence server 7. Moreover, the information input unit 60 uses the machine learning model and AI to parse the text data that enables the textification of voice messages and determines the content of input instructions and operation instructions contained in the text data.

[0105] For example, when an operator inputs a voice message stating "I wish to change the settings to be appropriate for the work machine of model XXX" using the terminal's voice collection unit 56, the information input unit 60 creates text data that is transcribed from the voice message through voice parsing, and then parses the text data. Furthermore, the information input unit 60 extracts terms such as "model XXX," "work machine," and "change to appropriate settings" from the text data, and determines that it is an input instruction (change instruction) for work plan information based on these terms.

[0106] In this case, the information input unit 60 reads the recommended work machine information (such as size, recommended speed, recommended engine speed, recommended lifting speed, recommended PTO rotation speed, etc.) for the "work machine" of "model XXX" from the storage unit 51 and the management server 6, and sets it as the work machine information for this work plan.

[0107] In addition, the information output unit 62 creates a voice message response to the input instruction for the work plan information and outputs it to the operator via the terminal display unit 53 and the terminal voice output unit 54. Specifically, it outputs a response stating "Change the vehicle speed and working width to the appropriate settings for XXX". On the other hand, if the information input unit 60 determines that the recommended work machine information for the "work machine of model XXX" has not been registered in the storage unit 51 and the management server 6, the information output unit 62 creates a response such as "No recommended work machine information" to the voice message indicating the input instruction for the work plan information and outputs it to the operator via the terminal display unit 53 and the terminal voice output unit 54.

[0108] Furthermore, the information input unit 60 can determine whether the input instruction for the work plan information is settable. If it is settable, the information input unit 60 sets the input work plan information. On the other hand, if it is not settable, the information output unit 62 creates a response indicating the reason why the input work plan information cannot be set and outputs it to the operator using the terminal display unit 53 and the terminal voice output unit 54.

[0109] Furthermore, in response to input instructions for work plan information from a worker's voice message, the information output unit 62 can create a response asking whether to set the work plan information and output it to the worker via the terminal display unit 53 and the terminal voice output unit 54. In this case, when the worker responds with a confirmation to set the work plan information, the information input unit 60 sets the work plan information.

[0110] For example, when an operator inputs a voice message via the terminal's voice collection unit 56 stating, "Since we are driving around the perimeter of the field, we wish to replace the field and cultivate the inner side after completion," the information input unit 60 creates text data by transing the voice message and then parses the text data. Furthermore, the information input unit 60 extracts phrases such as "driving around the perimeter of the field," "after completion," "cultivating the inner side," and "replacing the field" from the text data, and determines based on these phrases that it is an operation instruction for cultivating the central work area.

[0111] In addition, the information input unit 60 can determine whether the operation instructions for the operation are content that can be automatically driven.

[0112] In the case of autonomous driving, the information output unit 62 creates a response to the operation instructions and outputs it to the operator, while the work plan creation unit 61 creates a work plan, such as a driving route, based on the input work plan information. Furthermore, the information input unit 60 sends control signals for controlling the work vehicle 1 according to the operation instructions, along with the created work plan, to the work vehicle 1.

[0113] On the other hand, in cases where autonomous driving is not possible, the information output unit 62 creates and outputs to the operator information required to fulfill the operation instructions, the operation response, and the reason why the operation instructions cannot be fulfilled. In the case of the operation instructions in the aforementioned voice message, the work vehicle 1 can determine the shape, size, and position information of the end of the field based on the driving trajectory (position information) of the outer perimeter, but it cannot determine the timing and position of the completion of the outer perimeter of the field. Therefore, the information output unit 62 creates a response such as "Understood. Please announce the start of work after completion" for the voice message and outputs it to the operator using the terminal display unit 53 and the terminal voice output unit 54.

[0114] In this situation, the work vehicle 1 is in a state of waiting for the announcement of the start of work. After the operator has completed driving around the perimeter of the field, he / she needs to input a voice message announcing the start of work using the terminal audio unit 56. Furthermore, if the announcement of the start of work is not input even after the specified time has elapsed, the work vehicle 1 will be released from the waiting state.

[0115] For example, when an operator inputs a voice message saying "Please proceed with the work in the direction of the vehicle" using the terminal's audio collection unit 56, the information input unit 60 creates and transcribes the voice message into text data. Furthermore, the information input unit 60 extracts phrases such as "in the direction of the vehicle" and "Please proceed with the work" from the text data and determines, based on these phrases, that it is a work operation instruction to perform work while traveling in the current direction of travel of the work vehicle 1. In this case, as described above, the information input unit 60 determines whether the work operation instruction is capable of autonomous driving, and the work vehicle 1 performs processing corresponding to the determination result.

[0116] Furthermore, the information input unit 60 can utilize artificial intelligence (AI) to determine whether the operation instructions for the operation are suitable for autonomous driving, and can use AI to generate voice messages responding to the operation instructions based on the determination result. For example, the information input unit 60 generates a machine learning model by performing machine learning on the operation instructions for the operation, similar terms, and voice messages responding to the operation instructions, and stores it in the storage unit 51 and the artificial intelligence server 7. Moreover, the information input unit 60 uses the machine learning model and AI to determine whether the operation instructions are suitable for autonomous driving, and generates response voice messages based on the determination result.

[0117] Furthermore, if the content of the input instructions for the work plan information and the operation instructions for the work driving are determined in the manner described above, and the information input unit 60 determines that there is an error in the input instructions or operation instructions, the information output unit 62 creates an error response for the input instructions or operation instructions and outputs it to the operator using the terminal display unit 53 and the terminal voice output unit 54.

[0118] Furthermore, in the above embodiments, the following examples were described: when the information input unit 60 inputs work plan information as automatic input information, it automatically detects work vehicle information associated with the model entered manually, or automatically detects work machine information associated with the model entered manually, or automatically detects field information associated with the field entered manually, or automatically detects worker information associated with the worker entered manually. However, the present invention is not limited to this example.

[0119] In a second variation of this embodiment, when multiple workers utilize the work vehicle 1, the work vehicle 1 pre-stores work plan information corresponding to each worker in the storage unit 51 and the management server 6. The information input unit 60 detects and inputs the work plan information corresponding to the workers utilizing the work vehicle 1. Here, the work plan information corresponding to the workers includes at least one of the following: work vehicle information, work machine information, field information, path creation information, and worker information. The work vehicle 1 pre-stores worker images, such as facial images that can identify each worker, in the storage unit 51 and the management server 6. The information input unit 60 compares the captured images obtained by the vehicle shooting unit 34 and the terminal shooting unit 57 of the workers utilizing the work vehicle 1 with the pre-stored worker images, and identifies the workers utilizing the work vehicle 1 based on the comparison result.

[0120] Furthermore, the system can be configured such that: the vehicle camera unit 34 and the terminal camera unit 57 automatically capture images of people around the vehicle body 2 and people sitting in the driver's seat based on the operation of the vehicle operation unit 32 and the terminal operation unit 55; and the information input unit 60 automatically identifies the operator based on the captured images. Alternatively, the system can be configured such that: when people around the vehicle body 2 and people sitting in the driver's seat are detected by a human detection sensor (not shown) or similar device on the work vehicle 1, the vehicle camera unit 34 automatically captures images of those people; and the information input unit 60 automatically identifies the operator based on the captured images. Alternatively, the system can be configured such that: the vehicle camera unit 34 automatically captures images of people around the vehicle body 2 and people sitting in the driver's seat based on the operation of the engine 13 of the work vehicle 1; and the information input unit 60 automatically identifies the operator based on the captured images. Alternatively, the system can be configured such that: based on the operation of the engine 13 of the work vehicle 1, the system asks the operator whether to capture images of people around the vehicle body 2 and people sitting in the driver's seat, and identifies the operator's selection operation.

[0121] In the second variation, as work plan information corresponding to the operator, the work vehicle 1 stores the work plan information recommended to the operator in the storage unit 51 and the management server 6 in advance. For example, the work vehicle 1 stores work vehicle information and work machine information such as the previous vehicle speed, engine speed, lifting speed, PTO rotation speed, sensitivity during automatic driving, and lifting timing of the work machine 3 when turning in the storage unit 51 and the management server 6 as work plan information corresponding to the operator.

[0122] Furthermore, the work vehicle 1 can utilize artificial intelligence (AI) to determine the work plan information recommended to the operator, and use AI to generate work plan information corresponding to the operator based on the determination result. For example, the work vehicle 1 generates a machine learning model of work plan information that conforms to the operator's preferences in addition to the previously set work plan information by performing machine learning on the work plan information set by the operator, and stores it in the storage unit 51 and the artificial intelligence server 7. Moreover, the work plan creation unit 61 uses the machine learning model and AI to determine the work plan information recommended to the operator and determines it to be work plan information corresponding to the operator.

[0123] In the second variation, the information output unit 62 creates a notification about the setting of work plan information corresponding to the operator and outputs it to the operator using the terminal display unit 53 and the terminal voice output unit 54.

[0124] For example, when the information input unit 60 inputs and automatically sets work plan information corresponding to the operator, the information output unit 62 creates a notification confirming the identified operator and a notification confirming the setting of the work plan information corresponding to the operator, and outputs these notifications to the operator via the terminal display unit 53 and the terminal voice output unit 54. Alternatively, when the information input unit 60 sets work plan information corresponding to the operator based on any manual operation by the operator, the information output unit 62 creates a notification confirming the identified operator and a notification asking whether to set the work plan information corresponding to the operator, and outputs these notifications to the operator via the terminal display unit 53 and the terminal voice output unit 54. Specifically, the work vehicle 1 will output a notification to the operator asking whether to set the previous vehicle speed, engine speed, lifting speed, PTO rotation speed, and other work vehicle and work machine information to the work plan information corresponding to the operator.

[0125] Furthermore, the work vehicle 1 can utilize AI to create notifications regarding the setting of work plan information corresponding to the operator. For example, the work vehicle 1 generates a machine learning model by performing machine learning on the terminology used in the notification regarding the setting of work plan information corresponding to the operator, and stores it in the storage unit 51 and the artificial intelligence server 7. Moreover, the work plan creation unit 61 uses the machine learning model and AI to create notifications regarding the setting of work plan information corresponding to the operator.

[0126] Furthermore, in the second variation, the configuration can be such that, regardless of the operator, the work vehicle 1 pre-stores work plan information corresponding to multiple types of work vehicles 1 and multiple types of work machines 3 in the storage unit 51 and the management server 6. The information input unit 60 detects and outputs the work plan information corresponding to the work vehicle 1 and work machine 3 used by the operator. In this case, the work vehicle 1 pre-stores work vehicle images and work machine images that can identify each work vehicle 1 and each work machine 3 in the storage unit 51 and the management server 6. The information input unit 60 compares the images captured by the vehicle shooting unit 34 and the terminal shooting unit 57 of the work vehicle 1 and work machine 3 used by the operator with the pre-stored work vehicle images and work machine images, and identifies the work vehicle 1 and work machine 3 used by the operator based on the comparison result.

[0127] Furthermore, in the above embodiments, the following example was described: machine learning models related to work plan information, machine learning models related to driving routes and driving modes, machine learning models related to other work plan information that should be added, machine learning models related to driving instructions, machine learning models related to input instructions for work plan information and operation instructions for work driving, and machine learning models related to work plan information corresponding to the operator are stored in the storage unit 51 of the portable terminal 5, but the present invention is not limited to this example. In other examples, the above-mentioned machine learning models can be stored in the storage unit 41 of the work vehicle 1 and the artificial intelligence server 7.

[0128] Furthermore, in the above embodiment, the following example was described: the information input unit 60, the work plan creation unit 61, and the information output unit 62 perform operations using the computer of the control device 50 of the portable terminal 5, but the present invention is not limited to this example. In other examples, the information input unit 60, the work plan creation unit 61, and the information output unit 62 may also be configured to perform operations using the computer of the control device 4 of the work vehicle 1 and the computer of the artificial intelligence server 7. In this case, the information input unit 60, the work plan creation unit 61, and the information output unit 62 can perform operations as artificial intelligence (AI) or generate AI within the computer of the control device 4 of the work vehicle 1 and the computer of the artificial intelligence server 7.

[0129] That is, according to this embodiment, as long as the work plan creation system of the work vehicle 1 has an information input unit 60, a work plan creation unit 61, and an information output unit 62, the information input unit 60, the work plan creation unit 61, and the information output unit 62 can be executed by the control device 50 of the portable terminal 5, or by the computer of the control device 4 of the work vehicle 1 or the computer of the artificial intelligence server 7.

[0130] In the above embodiments, an example of a tractor constituting the work vehicle 1 has been described, 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 combine harvesters, rice transplanters, and lawn mowers, or it may be composed of other work vehicles other than agricultural machinery.

[0131] Furthermore, the present invention may be appropriately modified without departing from the spirit or idea of ​​the invention as can be read from the claims and the entire specification, and the work plan creation method and work plan creation system that are modified accordingly are also included in the technical concept of the present invention.

[0132] [Postscript to the Invention]

[0133] The following is a summary of the invention extracted from the above embodiments. Furthermore, the structures and processing functions described in the following notes can be selected and combined arbitrarily.

[0134] <Postscript 1>

[0135] A method for creating work plans, which is used for creating work plans for work vehicles that travel and work in fields, characterized in that...

[0136] The method for creating a job plan includes the following steps:

[0137] The input process involves inputting work plan information related to the work plan used for driving and operating the work vehicle.

[0138] A creation process, in which a work plan is created based on a machine learning model that performs machine learning on the input work plan information; and

[0139] The output process involves outputting the created work plan to the work vehicle.

[0140] <Appendix 2>

[0141] The method for creating a work plan as described in Appendix 1 is characterized by,

[0142] In the input process, as the work plan information, at least one of the following is input: work vehicle information related to the work vehicle, work machine information related to the work machine assembled on the work vehicle, field information related to the field where the work vehicle is performing the work, path creation information representing the characteristics of path creation, and operator information of the operator.

[0143] <Appendix 3>

[0144] The method for creating a work plan as described in Appendix 1 or 2 is characterized by,

[0145] In the input process, as the work plan information, the input includes manually entered information based on the operator's manual operation and automatically detected and entered information.

[0146] <Appendix 4>

[0147] The method for creating a work plan according to any one of the appendices 1 to 3 is characterized by,

[0148] In the creation process, if it is determined that the input of the work plan information is insufficient, or if the work plan created by the operator is inappropriate, notification will be sent regarding additional work plan information that should be added.

[0149] <Appendix 5>

[0150] The method for creating a work plan according to any one of the appendices 1 to 4 is characterized by,

[0151] In the creation process, the job plan is created by generating AI using a learning model that performs machine learning on the job plan information.

[0152] <Appendix 6>

[0153] According to the work plan creation method described in Appendix 4, the characteristic is that...

[0154] In the creation process, the additional work plan information to be added is created by generating AI using a machine learning model that performs machine learning on the input work plan information and the additional work plan information to be added.

[0155] <Appendix 7>

[0156] A work plan creation system is used for creating work plans for work vehicles that travel and work in fields, characterized in that...

[0157] The job scheduling creation system has the following features:

[0158] The input unit receives work plan information related to the work plan for using the work vehicle for driving and working.

[0159] A creation department that creates a work plan based on a machine learning model that performs machine learning on the input work plan information; and

[0160] The output unit outputs the created work plan to the work vehicle.

[0161] <Postscript 8>

[0162] The work plan creation system described in Appendix 7 is characterized by,

[0163] As the work plan information, the input unit inputs at least one of the following: work vehicle information related to the work vehicle, work machine information related to the work machine mounted on the work vehicle, field information related to the field where the work vehicle is performing the work, path creation information representing the characteristics of path creation, and operator information of the operator.

[0164] <Postscript 9>

[0165] The system for creating work plans according to Appendix 7 or 8 is characterized in that,

[0166] As the work plan information, the input unit inputs manually entered information based on the operator's manual operation and automatically detected and entered information.

[0167] <Postscript 10>

[0168] The system for creating work plans according to any one of the notes 7 to 9 is characterized in that,

[0169] If the work plan information is deemed insufficient or the work plan created by the operator is inappropriate, the creation unit will notify the operator to add other work plan information that should be added.

[0170] <Postscript 11>

[0171] The system for creating work plans according to any one of the notes 7 to 10 is characterized in that,

[0172] The creation unit creates the job plan by generating AI using a learning model that performs machine learning on the job plan information.

[0173] <Postscript 12>

[0174] The work plan creation system described in Appendix 10 is characterized by,

[0175] The creation unit creates the additional work plan information to be added by using a machine learning model generated by generating AI that performs machine learning on the input work plan information and the additional work plan information to be added.

Claims

1. A method for creating work plans, which is used for creating work plans for work vehicles that travel and work in fields, characterized in that, The method for creating a job plan includes the following steps: The input process involves inputting work plan information related to the work plan used for driving and operating the work vehicle. A creation process is performed in which the job plan is created based on a machine learning model that performs machine learning on the input job plan information. as well as The output process involves outputting the created work plan to the work vehicle.

2. The job plan creation method according to claim 1, characterized in that, In the input process, as the work plan information, at least one of the following is input: work vehicle information related to the work vehicle, work machine information related to the work machine assembled on the work vehicle, field information related to the field where the work vehicle is performing the work, path creation information representing the characteristics of path creation, and operator information of the operator.

3. The method for creating a work plan according to claim 1, characterized in that, In the input process, as the work plan information, the input includes manually entered information based on the operator's manual operation and automatically detected and entered information.

4. The job plan creation method according to claim 1, characterized in that, In the creation process, if it is determined that the input of the work plan information is insufficient, or if the work plan created by the operator is inappropriate, notification will be sent regarding additional work plan information that should be added.

5. The method for creating a work plan according to claim 1, characterized in that, In the creation process, the job plan is created by generating AI using a learning model that performs machine learning on the job plan information.

6. The job plan creation method according to claim 4, characterized in that, In the creation process, the additional work plan information to be added is created by generating AI using a machine learning model that performs machine learning on the input work plan information and the additional work plan information to be added.

7. A work plan creation system, which is used for creating work plans for work vehicles that travel and work in fields, characterized in that, The job scheduling creation system has the following features: The input unit receives work plan information related to the work plan for using the work vehicle for driving and working. The creation department creates the work plan based on a machine learning model that performs machine learning on the input work plan information; as well as The output unit outputs the created work plan to the work vehicle.

Images