WO2023287320A1 - Способ распределения машинных ресурсов при выполнении сельскохозяйственных работ - Google Patents
Способ распределения машинных ресурсов при выполнении сельскохозяйственных работ Download PDFInfo
- Publication number
- WO2023287320A1 WO2023287320A1 PCT/RU2022/000166 RU2022000166W WO2023287320A1 WO 2023287320 A1 WO2023287320 A1 WO 2023287320A1 RU 2022000166 W RU2022000166 W RU 2022000166W WO 2023287320 A1 WO2023287320 A1 WO 2023287320A1
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- WIPO (PCT)
- Prior art keywords
- agricultural work
- machine
- machines
- information
- machine resources
- Prior art date
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- 238000000034 method Methods 0.000 title claims abstract description 57
- 238000009313 farming Methods 0.000 title abstract 5
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 10
- 238000004891 communication Methods 0.000 claims description 22
- 230000007257 malfunction Effects 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 abstract description 7
- 230000002730 additional effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000035558 fertility Effects 0.000 description 1
- 239000003337 fertilizer Substances 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
Definitions
- the invention relates to the field of logistics, in particular to methods for distributing machine resources. More specifically, the invention relates to methods for distributing machine resources in the performance of agricultural work.
- the task set by the developer of the method for distributing machine resources in the performance of agricultural work is to develop a method that would automate the calculation of optimal solutions that affect the distribution of machine resources, ensure the distribution of machine resources, and control the trajectories of the movement of machines.
- the technical result of the proposed method for the distribution of machine resources in the performance of agricultural work is the automation of the calculation of optimal solutions that affect distribution of machine resources, ensuring the distribution of machine resources, control of the trajectories of the movement of machines.
- the essence of the method of distribution of machine resources in the performance of agricultural work according to the first embodiment is as follows.
- the user is requested to provide information related to at least one field and information related to machines that are planned to be used for agricultural work, or information related to at least one field and information related to with machines that can be used for agricultural work.
- the aforementioned 40 information is processed by a computer using algorithms for calculating optimal solutions.
- the schedule 50 of the work is displayed by computers to the drivers of each individual machine.
- the essence of the method of distribution of machine resources when performing agricultural work according to the second embodiment is as follows. first, using a computer, the user is requested to provide information related to at least one field and information related to machines that are planned to be used for agricultural work, or information related to at least one field and information related to machines that can be used for agricultural work. Then, the above-mentioned information is processed by a computer using algorithms for calculating optimal solutions.
- the work schedule is automatically transmitted to the autopilot of at least one machine.
- the essence of the method of distribution of machine resources when performing agricultural work according to the third embodiment is as follows.
- the user is requested to provide information related to at least one field and information related to machines that are planned to be used for agricultural work, or information related to at least one field and information related to machines that can be used for agricultural work.
- the above-mentioned information is processed by a computer using algorithms for calculating optimal solutions. After that, automatically with the help of a computer, they make the most optimal decision on the distribution of machine resources.
- the work schedule is displayed to the drivers of each individual machine using 85 computers, or, based on the optimal decisions made, the work schedule is automatically transmitted to the autopilot of at least one machine.
- any of the above-described embodiments of the proposed 90 method assumes that:
- they can automatically monitor compliance with the regulations using geolocation, while if at least one machine deviates from the regulations, they display information about the deviation from the regulations to the user and driver of the machine that deviated from the regulations, or display information about deviation from the loo regulations to the user and transmit the relevant information to the autopilot of the machine that deviated from the regulations, or automatically, using a computer, make adjustments in the control of such a machine so that it complies with the regulations.
- a centralized or decentralized computer system can be used.
- local communication can be used to exchange data between machines in such a way that each machine stores the information it has accumulated, and also stores the information received from other machines, while at the moment of reaching the communication range with the server of any machine that is used for agricultural work 120, using this machine, send the above-mentioned stored data related to agricultural work to the server and receive updated data from the server, which are transmitted to other machines with the help of this machine at the moment when the machine with the updated data is within a local communication radius with other 125 machines.
- the claimed method of distribution of machine resources in the performance of agricultural work is as follows.
- the user is requested to provide information related to at least one field and information related to the machines that are planned to be used for agricultural work, or information related to at least one is obtained from available sources.
- at least one field and information related to machines that can be used for 135 agricultural work Users can request information from any computer, including including using computers such as tablets, mobile phones, etc.
- Information associated with at least one field such as information about the number of fields, the area of each field, the shape of each field, the varieties of crops that grow in these fields, the soil fertility of each from fields, etc.
- Information related to the machines that are planned to be used for agricultural work this is information about the units of equipment that will be used for agricultural work.
- Such machinery can be both agricultural machinery such as combines, seeders, fertilizer spreaders, etc., as well as conventional machines, such as trucks, cars, etc.
- information related to machines that are planned to be used for agricultural work includes information about the characteristics of each piece of equipment, for example, if these are combines, then if necessary, if this information is not known from open sources or a database, the length of the header, tank capacity, grain bunker capacity, etc. are also requested. In other words, any information is requested that may affect the calculation of the optimal values for agricultural work. May use available sources of information and only ask for information that was not available. Available sources of information can be, for example, data known from state registers, data obtained using various sensors installed on machines or fields, etc. Obviously, if all the above data necessary for calculations are available, then request these data from user will not be needed.
- the user is shown the optimal solutions for managing machine resources, which were calculated by the computer. For example, using mobile phones, desktop computers, etc., they display the best options for allocating machine resources.
- Such optimal options contain work regulations for each machine, for example, the trajectory of movement of all machines, the recommended speed of their movement, the interaction between machines, if there are more than one field for processing, then the division of machines between fields, etc.
- the user is asked for information about which of the calculated optimal decisions will be made.
- the user can use his computer to choose which of the proposed solutions, in his opinion, is better to use and indicates such a solution in the program.
- the schedule of work is displayed to the machinists of each individual machine using computers.
- an on-board computer can be installed inside each machine, or drivers can use mobile devices with software to exchange information with a server or other device that transmits work instructions.
- the second way of executing the invention differs from the first one only in that cars with autopilot are used, so instead of displaying the above information to drivers, this information is transmitted to the autopilot of at least one car.
- the autopilot of the car further uses this information for its work.
- the third embodiment of the invention differs from the first embodiment in that the computer makes decisions instead of the user, and therefore, the user is not shown the optimal decisions for managing machine resources and does not ask the user for information about which of the proposed optimal decisions will be made. Instead, the third embodiment of the invention assumes that the most optimal decision on the allocation of machine resources is automatically made by the computer. In this case, the third embodiment of the invention, as well as the second embodiment of the invention, allows the use of an autopilot.
- the computer that makes the most optimal decision on the allocation of machine resources can be a server.
- a server can serve as a centralized autopilot for all machines or transmit management information to the autopilots of each machine, or transmit such information to the drivers.
- the process of performing agricultural work they can automatically monitor compliance with the above regulations, while, for example, the trajectory of the movement of machines is controlled using geolocation, and if at least one machine deviates from the regulations, display information about the deviation from the regulations to the user and the driver of the machine that deviated from the route, or automatically, using a computer, adjustments are made in the management of such a machine so that it complies with the regulations.
- the driver and user will know about it and it will be possible to quickly respond by taking the necessary measures, including, for example, calculating and making new optimal decisions based on the current situation.
- the driver In order to automatically control the trajectory of the movement of machines, they can, for example, save a template of the trajectories of movement of machines accepted by the user with coordinates and compare these coordinates with the real coordinates of the trajectory along which the machines move and, if the coordinates do not match, fix the deviation within the specified errors and, if necessary, automatically notify the user and drivers about this.
- the driver In the context of this invention, the driver is also a user, but a user without the right to make a decision, therefore, in the context of this invention, the driver should be perceived as a user without the right to choose optimal solutions.
- a local connection can be, for example, a wi-fi connection, and for communication with a server, for example, a mobile network, satellite Internet and other types of communication can be used that can provide communication with a server located at a considerable distance from the machines.
- a server for example, a mobile network, satellite Internet and other types of communication can be used that can provide communication with a server located at a considerable distance from the machines.
- a server for example, a mobile network, satellite Internet and other types of communication can be used that can provide communication with a server located at a considerable distance from the machines.
- a server for example, a mobile network, satellite Internet and other types of communication can be used that can provide communication with a server located at a considerable distance from the machines.
- wi-fi for example, in the fields where agricultural work is carried out, there may be no mobile and satellite communications, so machines can use wi-fi to communicate with each other.
- some machines will be in the coverage area of mobile or satellite communications, for example, trucks may be in the coverage area of mobile
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- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Life Sciences & Earth Sciences (AREA)
- Primary Health Care (AREA)
- Animal Husbandry (AREA)
- General Health & Medical Sciences (AREA)
- Mining & Mineral Resources (AREA)
- Marine Sciences & Fisheries (AREA)
- Agronomy & Crop Science (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Description
Claims
Priority Applications (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CA3225920A CA3225920A1 (en) | 2021-07-15 | 2022-05-19 | Method of allocating machine resources during the execution of farming operations |
EP22842549.2A EP4372638A1 (en) | 2021-07-15 | 2022-05-19 | Method of allocating machine resources during the execution of farming operations |
CN202280062663.9A CN117999564A (zh) | 2021-07-15 | 2022-05-19 | 进行农业工作时机械资源的分配方法 |
AU2022311722A AU2022311722A1 (en) | 2021-07-15 | 2022-05-19 | Method of allocating machine resources during the execution of farming operations |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
RU2021120876 | 2021-07-15 | ||
RU2021120876A RU2775859C1 (ru) | 2021-07-15 | Способ распределения машинных ресурсов при выполнении сельскохозяйственных работ |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2023287320A1 true WO2023287320A1 (ru) | 2023-01-19 |
Family
ID=84919541
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/RU2022/000166 WO2023287320A1 (ru) | 2021-07-15 | 2022-05-19 | Способ распределения машинных ресурсов при выполнении сельскохозяйственных работ |
Country Status (5)
Country | Link |
---|---|
EP (1) | EP4372638A1 (ru) |
CN (1) | CN117999564A (ru) |
AU (1) | AU2022311722A1 (ru) |
CA (1) | CA3225920A1 (ru) |
WO (1) | WO2023287320A1 (ru) |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030229435A1 (en) * | 2002-06-06 | 2003-12-11 | Lely Enterprises Ag | A system for and a method of performing a first and a second agricultural operation on an agricultural parcel |
US20100324772A1 (en) * | 2008-10-02 | 2010-12-23 | Trimble Navigation Ltd. | Automatic Control of Passive, Towed Implements |
US20130166344A1 (en) * | 2011-12-15 | 2013-06-27 | Claas Selbstfahrende Emtemaschinen Gmbh | Method for planning a process chain for a agricultural operation |
US20190239416A1 (en) * | 2016-09-29 | 2019-08-08 | Agro Intelligence Aps | A system and a method for determining a trajectory to be followed by an agricultural work vehicle |
US20200288625A1 (en) * | 2017-09-29 | 2020-09-17 | Zf Friedrichshafen Ag | Agricultural utility vehicle |
-
2022
- 2022-05-19 AU AU2022311722A patent/AU2022311722A1/en active Pending
- 2022-05-19 EP EP22842549.2A patent/EP4372638A1/en active Pending
- 2022-05-19 WO PCT/RU2022/000166 patent/WO2023287320A1/ru active Application Filing
- 2022-05-19 CN CN202280062663.9A patent/CN117999564A/zh active Pending
- 2022-05-19 CA CA3225920A patent/CA3225920A1/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030229435A1 (en) * | 2002-06-06 | 2003-12-11 | Lely Enterprises Ag | A system for and a method of performing a first and a second agricultural operation on an agricultural parcel |
US20100324772A1 (en) * | 2008-10-02 | 2010-12-23 | Trimble Navigation Ltd. | Automatic Control of Passive, Towed Implements |
US20130166344A1 (en) * | 2011-12-15 | 2013-06-27 | Claas Selbstfahrende Emtemaschinen Gmbh | Method for planning a process chain for a agricultural operation |
RU2012153230A (ru) * | 2011-12-15 | 2014-06-20 | КЛААС Зельбстфаренде Эрнтемашинен ГмбХ | Способ планирования технологической цепочки для сельскохозяйственных работ |
US20190239416A1 (en) * | 2016-09-29 | 2019-08-08 | Agro Intelligence Aps | A system and a method for determining a trajectory to be followed by an agricultural work vehicle |
US20200288625A1 (en) * | 2017-09-29 | 2020-09-17 | Zf Friedrichshafen Ag | Agricultural utility vehicle |
Also Published As
Publication number | Publication date |
---|---|
EP4372638A1 (en) | 2024-05-22 |
CA3225920A1 (en) | 2023-01-19 |
AU2022311722A1 (en) | 2024-02-29 |
CN117999564A (zh) | 2024-05-07 |
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