CN111698318A - Agricultural machine accurate control method applied to intelligent agriculture - Google Patents
Agricultural machine accurate control method applied to intelligent agriculture Download PDFInfo
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- CN111698318A CN111698318A CN202010526917.0A CN202010526917A CN111698318A CN 111698318 A CN111698318 A CN 111698318A CN 202010526917 A CN202010526917 A CN 202010526917A CN 111698318 A CN111698318 A CN 111698318A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
- G01S19/14—Receivers specially adapted for specific applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
Abstract
The invention belongs to the technical field of intelligent agriculture application, and particularly discloses an accurate control method of an agricultural machine applied to intelligent agriculture. And 2, the terminal T _ BOX acquires satellite positioning information through a satellite positioning module. And 3, the terminal T _ BOX uploads data to an ActiveMQ message control module. And step 4, the ActiveMQ message control module sends information to the message processing module according to the service requirement. And 5, the message processing module stores the information in a storage and simultaneously sends the information to the communication module. And 6, the communication module sends the information to an accurate agricultural control management interface of the agricultural department. The method for accurately controlling the agricultural machine applied to the intelligent agriculture has the beneficial effects that: the agricultural machine intelligent control system is reasonable in operation flow design, can realize safe, accurate and stable acquisition, analysis and processing of agricultural machine data information, guarantees the reliability of agricultural machine intelligent control, and improves the safety of agricultural machine intelligent control.
Description
Technical Field
The invention belongs to the technical field of intelligent agriculture application, and particularly relates to an accurate control method of an agricultural machine applied to intelligent agriculture.
Background
Agricultural machinery (agricultural machine) refers to various machines used in crop farming and animal husbandry production processes, as well as in the primary processing and handling of agricultural and livestock products. Agricultural machinery includes agricultural power machinery, farmland construction machinery, soil farming machinery, planting and fertilizing machinery, plant protection machinery, farmland irrigation and drainage machinery, crop harvesting machinery, agricultural product processing machinery, animal husbandry machinery, agricultural transportation machinery and the like.
The generalized agricultural machinery also comprises forestry machinery, fishery machinery and rural subsidiary machinery such as silkworm, beekeeping, edible fungus cultivation and the like. Agricultural machinery belongs to relative concept, refers to a general term for all machinery used in agriculture, animal husbandry, forestry and fishery, and belongs to the category of agricultural implements.
The intelligent agriculture is an advanced stage of agricultural production, integrates emerging internet, mobile internet, cloud computing and internet of things, realizes intelligent perception, intelligent early warning, intelligent decision, intelligent analysis and expert online guidance of an agricultural production environment by depending on various sensing nodes (environment temperature and humidity, soil moisture, carbon dioxide, images and the like) and a wireless communication network deployed on an agricultural production field, and provides accurate planting, visual management and intelligent decision for agricultural production.
The intelligent agriculture is comprehensive and comprehensive application of various information technologies such as cloud computing, a sensor network and 3S in agriculture, and more complete information-based basic support, more thorough agricultural information perception, more centralized data resources, more extensive interconnection, deeper intelligent control and more attentive public services are realized. The intelligent agriculture is integrated with modern biotechnology, planting technology and other high and new technologies, and has important significance for building world-level agriculture.
From the above description, it can be known that the key of the smart agriculture is how to implement the analysis and processing and precise control of the big data of the agricultural machine, i.e. the precision, stability and safety of the data analysis, processing and collection will directly affect the reliability of the remote intelligent control of the agricultural machine.
Based on the problems, the invention provides an accurate control method of an agricultural machine applied to intelligent agriculture.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide an agricultural machine accurate control method applied to intelligent agriculture, which is reasonable in operation flow design, can realize accurate and stable acquisition, analysis and processing of data information of an agricultural machine, ensures the reliability of intelligent control of the agricultural machine and improves the safety of the intelligent control of the agricultural machine.
The technical scheme is as follows: the invention provides an accurate control method of an agricultural machine applied to intelligent agriculture, which comprises the following steps of step 1, and a terminal T _ BOX collects basic information of a vehicle through KAN. And 2, the terminal T _ BOX acquires satellite positioning information through a satellite positioning module. And 3, the terminal T _ BOX uploads data to an ActiveMQ message control module. And step 4, the ActiveMQ message control module sends information to the message processing module according to the service requirement. And 5, the message processing module stores the information in a storage and simultaneously sends the information to the communication module. And 6, the communication module sends the information to an accurate agricultural control management interface of the agricultural department.
According to the technical scheme, the agricultural machine interconnection is achieved through a gps positioning method or a Beidou satellite positioning method through the internet of things technology, the operation data and the position information of the agricultural machine are collected in real time, the agricultural machine cultivated land area is calculated, then the agricultural machine interconnected with a platform of the national department of agriculture is achieved, and finally the vehicle information collected in real time is uploaded and comprises vehicle login information, positioning information, vehicle body information, multi-longitude and multi-latitude information, time interval operation information and single day operation information.
Compared with the prior art, the method for accurately controlling the agricultural machine applied to the intelligent agriculture has the beneficial effects that: the intelligent control system is reasonable in design of the operation flow, can realize accurate and stable acquisition, analysis and processing of data information of the agricultural machine, guarantees the reliability of intelligent control of the agricultural machine, and improves the safety of the intelligent control of the agricultural machine.
Drawings
FIG. 1 is a schematic diagram of a data processing flow chart of a method for precisely controlling an agricultural machine for intelligent agriculture according to the present invention;
fig. 2 and 3 are schematic diagrams illustrating real-time positioning and real-time data collection of the method for precisely controlling an agricultural machine applied to intelligent agriculture according to the present invention.
Detailed Description
The invention is further elucidated with reference to the drawings and the embodiments.
Examples
The method for accurately controlling the agricultural machine applied to the intelligent agriculture as shown in fig. 1 comprises the following steps of step 1, and acquiring vehicle basic information by a terminal T _ BOX through KAN. And 2, the terminal T _ BOX acquires satellite positioning information through a satellite positioning module. And 3, the terminal T _ BOX uploads data to an ActiveMQ message control module. And step 4, the ActiveMQ message control module sends information to the message processing module according to the service requirement. And 5, the message processing module stores the information in a storage and simultaneously sends the information to the communication module. And 6, the communication module sends the information to an accurate agricultural control management interface of the agricultural department.
Preferably, the method comprises the steps of firstly realizing intercommunication and interconnection of agricultural machines through a gps positioning method or a Beidou satellite positioning method and the Internet of things technology, collecting operation data and position information of the agricultural machines in real time, calculating the cultivated land area of the agricultural machines, then realizing butt joint with a platform of the national department of agriculture, and finally uploading vehicle information collected in real time, wherein the vehicle information comprises vehicle login information, positioning information, vehicle body information, multi-longitude and multi-latitude information, time period operation information and single day operation information.
Fig. 2 and 3 are schematic diagrams illustrating real-time positioning and real-time data collection of the method for precisely controlling an agricultural machine applied to intelligent agriculture according to the present invention.
The agricultural machine accurate control method applied to intelligent agriculture has reasonable operation flow design, can realize accurate and stable acquisition, analysis and processing of data information of the agricultural machine, ensures the reliability of intelligent control of the agricultural machine, and improves the safety of the intelligent control of the agricultural machine.
The foregoing is only a preferred embodiment of this invention and it should be noted that modifications can be made by those skilled in the art without departing from the principle of the invention and these modifications should also be considered as the protection scope of the invention.
Claims (2)
1. The accurate control method of the agricultural machine applied to the intelligent agriculture is characterized by comprising the following steps: comprises the following steps of (a) carrying out,
step 1, a terminal T _ BOX collects vehicle basic information through KAN;
step 2, the terminal T _ BOX acquires satellite positioning information through a satellite positioning module;
step 3, the terminal T _ BOX uploads data to an ActiveMQ message control module;
step 4, the ActiveMQ message control module sends information to the message processing module according to the service requirement;
step 5, the message processing module stores the information in a warehouse and simultaneously sends the information to the communication module;
and 6, the communication module sends the information to an accurate agricultural control management interface of the agricultural department.
2. The method for precisely controlling an agricultural machine for intelligent agriculture according to claim 1, wherein: the method comprises the steps of firstly realizing intercommunication interconnection of agricultural machines through a gps positioning method or a Beidou satellite positioning method and the Internet of things technology, collecting operation data and position information of the agricultural machines in real time, calculating the cultivated land area of the agricultural machines, then realizing butt joint with a platform of the national department of agriculture, and finally uploading vehicle information collected in real time, wherein the vehicle information comprises vehicle login information, positioning information, vehicle body information, multi-longitude and multi-latitude information, time interval operation information and single day operation information.
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CN202010526917.0A CN111698318A (en) | 2020-06-11 | 2020-06-11 | Agricultural machine accurate control method applied to intelligent agriculture |
PCT/CN2020/108694 WO2021248678A1 (en) | 2020-06-11 | 2020-08-12 | Agricultural machine precision control method applied to smart agriculture |
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CN202010526917.0A CN111698318A (en) | 2020-06-11 | 2020-06-11 | Agricultural machine accurate control method applied to intelligent agriculture |
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CN107462208A (en) * | 2017-08-15 | 2017-12-12 | 河北农业大学 | A kind of agricultural machinery and agricultural machinery working area measuring device and measuring method |
CN109685267A (en) * | 2018-12-21 | 2019-04-26 | 华中农业大学 | A kind of agricultural mechanical operation service analysis system and method |
CN109726848A (en) * | 2018-11-20 | 2019-05-07 | 江苏智途科技股份有限公司 | A kind of wisdom agricultural big data service platform |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
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CN101399734A (en) * | 2008-07-21 | 2009-04-01 | 北京农业信息技术研究中心 | Farm land soil information collecting system and method |
JP5919799B2 (en) * | 2011-12-19 | 2016-05-18 | 井関農機株式会社 | LAN system for work vehicles |
CN109596179A (en) * | 2019-01-14 | 2019-04-09 | 沈阳农业大学 | Wisdom agricultural system based on wireless sensor network |
CN109615282A (en) * | 2019-01-31 | 2019-04-12 | 西南大学 | A kind of intelligent movable farm machinery management system based on big data |
CN110581882B (en) * | 2019-07-31 | 2021-07-16 | 华为技术有限公司 | Service implementation method and electronic equipment |
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2020
- 2020-06-11 CN CN202010526917.0A patent/CN111698318A/en active Pending
- 2020-08-12 WO PCT/CN2020/108694 patent/WO2021248678A1/en active Application Filing
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
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US20050090978A1 (en) * | 2001-12-21 | 2005-04-28 | Rds-X Fejlesztesi Es Tanacsado Kft. | Control and communication system and method |
CN105550820A (en) * | 2015-12-30 | 2016-05-04 | 柳州天运寰通科技有限公司 | Agricultural machine operation management system |
CN107462208A (en) * | 2017-08-15 | 2017-12-12 | 河北农业大学 | A kind of agricultural machinery and agricultural machinery working area measuring device and measuring method |
CN109726848A (en) * | 2018-11-20 | 2019-05-07 | 江苏智途科技股份有限公司 | A kind of wisdom agricultural big data service platform |
CN109685267A (en) * | 2018-12-21 | 2019-04-26 | 华中农业大学 | A kind of agricultural mechanical operation service analysis system and method |
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Application publication date: 20200922 |