CN116976559A - Intelligent agricultural machinery operation method and system based on communication of space-based Internet of things - Google Patents

Intelligent agricultural machinery operation method and system based on communication of space-based Internet of things Download PDF

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Publication number
CN116976559A
CN116976559A CN202310969131.XA CN202310969131A CN116976559A CN 116976559 A CN116976559 A CN 116976559A CN 202310969131 A CN202310969131 A CN 202310969131A CN 116976559 A CN116976559 A CN 116976559A
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agricultural machinery
data
information
agricultural
communication
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王子翔
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Aerospace Xingyun Technology Co ltd
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    • 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
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    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y10/00—Economic sectors
    • G16Y10/05—Agriculture
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/10—Detection; Monitoring

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Abstract

The invention discloses an intelligent agricultural machinery operation method based on space-based internet of things communication, belonging to the fields of intelligent agriculture, comprehensive space information service technology, space-based internet of things technology and artificial intelligence; the method comprises the following steps: acquiring agricultural machinery position information and agricultural machinery information; the agricultural machinery information comprises state information of the agricultural machinery and operation information of the agricultural machinery; inputting state information of the agricultural machinery and operation information of the agricultural machinery into a pre-trained agricultural machinery operation recognition model to obtain a fault recognition result; and performing fault repair according to the fault identification result and the agricultural machinery position information. The invention further provides an intelligent agricultural machinery operation system based on the communication of the space-based Internet of things. The invention can complete the guidance and optimization of the agricultural machinery operation on site, thereby greatly improving the operation efficiency of the agricultural machinery.

Description

Intelligent agricultural machinery operation method and system based on communication of space-based Internet of things
Technical Field
The invention relates to the fields of intelligent agriculture, comprehensive space information service technology, space-based Internet of things technology and artificial intelligence. The collective relates to an intelligent agricultural machinery operation method and system based on communication of the space-based Internet of things.
Background
The agricultural machinery internet of things is used as a branch application of the internet of things, a large number of agricultural work areas are still in areas with poor coverage of network signals of ground operators, and real-time or quasi-real-time monitoring, guiding and management of agricultural machinery operation are difficult. When the manual mode is adopted to operate the agricultural machinery, the operation efficiency is low, and the waste of the water and the fertilizer and the environmental pollution are easily caused.
In the prior art, an electronic fence is arranged or Beidou satellite positioning is added to assist agricultural machinery cultivation, and operation data is reported to a server in a local area network, a 4G mode and the like for large-screen display. See patent nos. CN202211182738.5 and CN202110951675.4, which have the following problems:
1. because of the specificity of agricultural machinery operation, the coverage area of the ground-free network cannot finish agricultural machinery data uploading.
2. By adopting the current positioning mode, the positioning precision is not fine enough, and a certain error exists in the drawn operation track route.
3. The real-time monitoring and controlling of the state of the agricultural machinery are lacked. The data of the uploaded back-end server is only used as data display, instant feedback cannot be provided according to actual conditions of agricultural machinery operation, the back-end supervision platform is lagged in supervision of the agricultural machinery operation, and the requirements on the performance of the back-end server are high, so that the load of transmitted information is large, the power consumption of the equipment transmission terminal is high, and the research cost is high.
Disclosure of Invention
The invention aims to provide an intelligent agricultural machine operation method and system based on space-based internet of things communication.
In order to solve the technical problems, the invention provides an intelligent agricultural machinery operation method based on communication of the space-based Internet of things, which comprises the following steps:
acquiring agricultural machinery position information and agricultural machinery information; the agricultural machinery information comprises state information of the agricultural machinery and operation information of the agricultural machinery;
inputting state information of the agricultural machinery and operation information of the agricultural machinery into a pre-trained agricultural machinery operation recognition model to obtain a fault recognition result;
and performing fault repair according to the fault identification result and the agricultural machinery position information.
Preferably, according to the fault identification result and the agricultural machinery position information, performing fault repair, specifically comprising the following steps:
judging the running state of the agricultural machinery according to the fault identification result; the operating conditions of the agricultural machine include normal, regular and irregular faults;
uploading agricultural machine data and adjusting the working task of the agricultural machine on site when the running state of the agricultural machine is a conventional fault;
and uploading the agricultural machine data and carrying out remote management scheduling according to the agricultural machine position information when the running state of the agricultural machine is an irregular fault.
Preferably, the agricultural machinery data is uploaded, which specifically comprises the following steps:
judging whether the agricultural machinery is covered by a network of a ground operator or not according to the agricultural machinery position information;
when the agricultural machinery is covered by a network of a ground operator, uploading the agricultural machinery data through a 4G or NB-IoT communication transmission mode for display analysis;
when the agricultural machinery is not covered by the network of the ground operator, the agricultural machinery monitoring data is returned to the ground gateway station through the satellite, and then the agricultural machinery data is uploaded through the data processing center for display analysis.
Preferably, the agricultural machinery self-state information includes angle data, vibration data and speed data.
Preferably, the agricultural machinery operation information comprises obstacle distance data, temperature and humidity data and salinity data.
Preferably, a proximity sensor, an angle sensor, a vibration sensor, a temperature and humidity salt sensor and a Hall speed sensor are arranged on the agricultural machinery;
distance data are acquired through a proximity sensor, angle data are acquired through an angle sensor, vibration data are acquired through a vibration sensor, temperature and humidity data and salinity data are acquired through a temperature and humidity salt sensor, and speed data are acquired through a Hall speed sensor.
Preferably, the agricultural machinery position information is acquired based on an RTK real-time dynamic carrier phase difference technology.
The invention also provides an intelligent agricultural machinery operation system based on the communication of the space-based internet of things, which comprises:
the acquisition module is used for acquiring the agricultural machinery position information and the agricultural machinery information; the agricultural machinery information comprises state information of the agricultural machinery and operation information of the agricultural machinery;
the fault recognition module is used for inputting the state information of the agricultural machinery and the agricultural machinery operation information into a pre-trained agricultural machinery operation recognition model to obtain a fault recognition result;
and the fault repairing module is used for repairing the faults according to the fault identification result and the agricultural machinery position information.
Compared with the prior art, the invention has the beneficial effects that:
the invention designs an intelligent agricultural machinery operation system, and normal uploading of coverage data of a ground-free network can be realized through the technology of the space-based Internet of things; the RTK technology is utilized to further improve the operation positioning precision; the system is used for inputting the parameters of the agricultural machinery operation model in advance, and the front intelligent controller is used for comparing the parameters acquired by the sensor with the model parameters, so that the agricultural machinery operation guidance and optimization can be finished on site, and the agricultural machinery operation efficiency is greatly improved.
1. The invention can be applied to the area without the ground network facility, is not limited by the ground network, can be used in any area of the world, and increases a communication means;
2. the invention uses RTK positioning technology, enhances the position accuracy data of the agricultural machinery, and can better execute the operation task of the agricultural machinery;
3. the invention reduces the data return times and can effectively reduce the power supply energy consumption of the system;
4. according to the invention, the parameters of the conventional agricultural machine operation model are prerecorded to the main control unit, so that the agricultural machine operation efficiency is effectively improved, and the operation feedback time is shortened.
Drawings
The following describes the embodiments of the present invention in further detail with reference to the accompanying drawings.
FIG. 1 is a flow chart of uploading data of an intelligent agricultural machinery operating system based on space-based Internet of things communication;
FIG. 2 is a schematic diagram of an agricultural machine monitoring system;
FIG. 3 is a schematic diagram of a conventional operation recognition flow of an agricultural machine according to example 1;
fig. 4 is a schematic flow chart of an intelligent agricultural machinery operation method based on communication of the space-based internet of things.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. The present invention may be embodied in many other forms than those herein described, and those skilled in the art will readily appreciate that the present invention may be similarly embodied without departing from the spirit or essential characteristics thereof, and therefore the present invention is not limited to the specific embodiments disclosed below.
The terminology used in the one or more embodiments of the specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the one or more embodiments of the specification. As used in this specification, one or more embodiments and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used in one or more embodiments of the present specification refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that, although the terms first, second, etc. may be used in one or more embodiments of this specification to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, a first may also be referred to as a second, and similarly, a second may also be referred to as a first, without departing from the scope of one or more embodiments of the present description. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "responsive to a determination", depending on the context.
The invention is described in further detail below with reference to the attached drawing figures:
as shown in fig. 4, the invention provides an intelligent agricultural machine operation method based on space-based internet of things communication, which comprises the following steps:
acquiring agricultural machinery position information and agricultural machinery information; the agricultural machinery information comprises state information of the agricultural machinery and operation information of the agricultural machinery;
inputting state information of the agricultural machinery and operation information of the agricultural machinery into a pre-trained agricultural machinery operation recognition model to obtain a fault recognition result;
and performing fault repair according to the fault identification result and the agricultural machinery position information.
Preferably, according to the fault identification result and the agricultural machinery position information, performing fault repair, specifically comprising the following steps:
judging the running state of the agricultural machinery according to the fault identification result; the operating conditions of the agricultural machine include normal, regular and irregular faults;
uploading agricultural machine data and adjusting the working task of the agricultural machine on site when the running state of the agricultural machine is a conventional fault;
and uploading the agricultural machine data and carrying out remote management scheduling according to the agricultural machine position information when the running state of the agricultural machine is an irregular fault.
Preferably, the agricultural machinery data is uploaded, which specifically comprises the following steps:
judging whether the agricultural machinery is covered by a network of a ground operator or not according to the agricultural machinery position information;
when the agricultural machinery is covered by a network of a ground operator, uploading the agricultural machinery data through a 4G or NB-IoT communication transmission mode for display analysis;
when the agricultural machinery is not covered by the network of the ground operator, the agricultural machinery monitoring data is returned to the ground gateway station through the satellite, and then the agricultural machinery data is uploaded through the data processing center for display analysis.
Preferably, the agricultural machinery self-state information includes angle data, vibration data and speed data.
Preferably, the agricultural machinery operation information comprises obstacle distance data, temperature and humidity data and salinity data.
Preferably, a proximity sensor, an angle sensor, a vibration sensor, a temperature and humidity salt sensor and a Hall speed sensor are arranged on the agricultural machinery;
distance data are acquired through a proximity sensor, angle data are acquired through an angle sensor, vibration data are acquired through a vibration sensor, temperature and humidity data and salinity data are acquired through a temperature and humidity salt sensor, and speed data are acquired through a Hall speed sensor.
Preferably, the agricultural machinery position information is acquired based on an RTK real-time dynamic carrier phase difference technology.
The invention also provides an intelligent agricultural machinery operation system based on the communication of the space-based internet of things, which comprises:
the acquisition module is used for acquiring the agricultural machinery position information and the agricultural machinery information; the agricultural machinery information comprises state information of the agricultural machinery and operation information of the agricultural machinery;
the fault recognition module is used for inputting the state information of the agricultural machinery and the agricultural machinery operation information into a pre-trained agricultural machinery operation recognition model to obtain a fault recognition result;
and the fault repairing module is used for repairing the faults according to the fault identification result and the agricultural machinery position information.
In order to better illustrate the technical effects of the present invention, the present invention provides the following specific embodiments to illustrate the above technical flow:
in the embodiment 1, an intelligent agricultural machinery operating system based on communication of the space-based internet of things is provided, an agricultural machinery monitoring system is used for completing collection and analysis of data of various sensor devices, and accurate position information of agricultural machinery is obtained by applying an RTK real-time dynamic carrier phase difference technology aiming at complex problems and scenes which cannot be solved on site.
When the network coverage of the ground operator exists, the service data is transmitted to a background service display analysis system through a 4G or NB-IoT communication transmission mode; when the ground network coverage is not available, the communication mode of the space-based internet of things can be adopted, data is returned by the satellite to the ground gateway station and then distributed to the background service display and analysis system through the data processing center, and the flow chart is shown in fig. 1.
The agricultural machinery monitoring system consists of a sensor unit, an input and output unit, an intelligent main control unit and a communication unit. As shown in fig. 2. The sensor unit comprises a proximity sensor, an angle sensor, a speed sensor and the like, and the input and output unit comprises AI, AO analog input and output equipment, DI, DO digital input and output equipment and a CAN bus. The intelligent main control unit comprises an intelligent agricultural machine controller, a storage module, a battery module, a GNSS positioning module and a display module. The communication unit comprises an antenna-based internet of things communication module, an operator 4G, NB-IoT communication module and a transmitting and receiving antenna.
The collected sensor equipment related data is transmitted to the intelligent agricultural machine controller through the CAN bus, is compared with an agricultural machine operation model which is input in advance by the storage module, and conventional operation problems CAN be automatically adjusted and repaired according to the on-site return parameter values. A conventional job identification model is shown in fig. 3.
The battery module provides power for the whole machine. Aiming at complex scenes and problems, the accurate position information of the agricultural machinery is obtained by applying an RTK real-time dynamic carrier phase difference technology, and the communication unit sends data information to the service display analysis system through a wireless transmission module such as the space-based Internet of things or 4G. The background business display analysis system realizes all-weather remote monitoring and fault diagnosis of the agricultural machine state according to the obtained real-time position of the agricultural machine, the state of the agricultural machine and the operation state information, and further completes management scheduling and efficient management of the agricultural machine operation.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and the division of modules, or units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units, modules, or components may be combined or integrated into another apparatus, or some features may be omitted, or not performed.
The units may or may not be physically separate, and the components shown as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed in a plurality of different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such embodiments, the computer program may be downloaded and installed from a network via a communication portion, and/or installed from a removable medium. The above-described functions defined in the method of the present invention are performed when the computer program is executed by a Central Processing Unit (CPU). The computer readable medium of the present invention may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The foregoing is merely illustrative of specific embodiments of the present invention, and the scope of the present invention is not limited thereto, but any changes or substitutions within the technical scope of the present invention should be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (8)

1. An intelligent agricultural machinery operation method based on communication of the space-based internet of things is characterized by comprising the following steps:
acquiring agricultural machinery position information and agricultural machinery information; the agricultural machinery information comprises state information of the agricultural machinery and operation information of the agricultural machinery;
inputting state information of the agricultural machinery and operation information of the agricultural machinery into a pre-trained agricultural machinery operation recognition model to obtain a fault recognition result;
and performing fault repair according to the fault identification result and the agricultural machinery position information.
2. The intelligent agricultural machinery operation method based on the communication of the space-based internet of things according to claim 1, wherein the fault repairing is performed according to the fault recognition result and the agricultural machinery position information, and specifically comprises the following steps:
judging the running state of the agricultural machinery according to the fault identification result; the operating conditions of the agricultural machine include normal, regular and irregular faults;
uploading agricultural machine data and adjusting the working task of the agricultural machine on site when the running state of the agricultural machine is a conventional fault;
and uploading the agricultural machine data and carrying out remote management scheduling according to the agricultural machine position information when the running state of the agricultural machine is an irregular fault.
3. The intelligent agricultural machinery operation method based on the communication of the space-based internet of things according to claim 2, wherein the agricultural machinery data uploading method specifically comprises the following steps:
judging whether the agricultural machinery is covered by a network of a ground operator or not according to the agricultural machinery position information;
when the agricultural machinery is covered by a network of a ground operator, uploading the agricultural machinery data through a 4G or NB-IoT communication transmission mode for display analysis;
when the agricultural machinery is not covered by the network of the ground operator, the agricultural machinery monitoring data is returned to the ground gateway station through the satellite, and then the agricultural machinery data is uploaded through the data processing center for display analysis.
4. The intelligent agricultural machinery operation method based on the communication of the space-based internet of things of claim 1, wherein:
the state information of the agricultural machinery comprises angle data, vibration data and speed data.
5. The intelligent agricultural machinery operation method based on the communication of the space-based internet of things of claim 4, wherein the method comprises the following steps:
the agricultural machinery operation information comprises obstacle distance data, temperature and humidity data and salinity data.
6. The intelligent agricultural machinery operation method based on the communication of the space-based internet of things according to claim 5, wherein the method comprises the following steps:
a proximity sensor, an angle sensor, a vibration sensor, a temperature and humidity salt sensor and a Hall speed sensor are arranged on the agricultural machinery;
distance data are acquired through a proximity sensor, angle data are acquired through an angle sensor, vibration data are acquired through a vibration sensor, temperature and humidity data and salinity data are acquired through a temperature and humidity salt sensor, and speed data are acquired through a Hall speed sensor.
7. The intelligent agricultural machinery operation method based on the communication of the space-based internet of things of claim 1, wherein:
and acquiring the agricultural machinery position information based on an RTK real-time dynamic carrier phase difference technology.
8. An intelligent agricultural machinery operation system based on communication of the world-wide-internet of things, for implementing the intelligent agricultural machinery operation method based on communication of the world-wide-internet of things according to any one of claims 1 to 7, comprising:
the acquisition module is used for acquiring the agricultural machinery position information and the agricultural machinery information; the agricultural machinery information comprises state information of the agricultural machinery and operation information of the agricultural machinery;
the fault recognition module is used for inputting the state information of the agricultural machinery and the agricultural machinery operation information into a pre-trained agricultural machinery operation recognition model to obtain a fault recognition result;
and the fault repairing module is used for repairing the faults according to the fault identification result and the agricultural machinery position information.
CN202310969131.XA 2023-08-03 2023-08-03 Intelligent agricultural machinery operation method and system based on communication of space-based Internet of things Pending CN116976559A (en)

Priority Applications (1)

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CN202310969131.XA CN116976559A (en) 2023-08-03 2023-08-03 Intelligent agricultural machinery operation method and system based on communication of space-based Internet of things

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310969131.XA CN116976559A (en) 2023-08-03 2023-08-03 Intelligent agricultural machinery operation method and system based on communication of space-based Internet of things

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