Pesticide application control method based on multi-dimensional analysis

Abstract

The present invention relates to a pesticide application control method based on multi-dimensional analysis, and belongs to the technical field of agricultural pesticide application control. The present invention obtains external influencing factors and internal influencing factors, generates relevant parameter control measures based on the external influencing factors, and generates relevant control plans according to the relevant parameter control measures, and finally obtains the frequency data information of the occurrence of internal influencing factors, and generates relevant remedial measures according to the frequency data information of the occurrence of internal influencing factors. The present invention fully considers the external influencing factors and internal influencing factors of the pesticide application equipment during the construction process, so as to generate relevant control measures according to the external influencing factors and internal influencing factors of the pesticide application equipment during the construction process, especially when the pesticide application equipment and the Internet of Things terminal have abnormal communication, the phenomenon of multiple spraying is avoided by setting relevant control measures, so that the pesticide application process is more reasonable.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural pesticide application control, and in particular to a pesticide application control method based on multi-dimensional analysis. Background Art

[0002] With the continuous development of Internet of Things and network technology and the increasing popularity of computers and smart phones, agricultural production management through remote terminals is the general trend of modern agricultural development. Users can intuitively obtain the environmental parameter values ​​and equipment operation status of the production site and adjust them through the human-computer interaction interface of the remote client. At the same time, they can control the on-site conditions through videos or images, and finally realize remote intelligent unmanned management of agricultural production. However, with the support of Internet of Things technology, there are still many problems that have not been solved. For example, if the information transmission rate is delayed or interrupted, the pesticide application equipment cannot be connected to the remote Internet of Things control terminal or the information delay rate is large, which may cause spraying leakage or over-spraying, which is not conducive to the precise control of pesticides. Summary of the invention

[0003] The present invention overcomes the deficiencies of the prior art and provides a pesticide application control method based on multi-dimensional analysis.

[0004] To achieve the above object, the technical solution adopted by the present invention is:

[0005] A first aspect of the present invention provides a method for controlling pesticide application based on multi-dimensional analysis, comprising the following steps:

[0006] Acquire the work distribution information of the types of pesticide application equipment in the target area, and determine the pesticide application influencing factor of each pesticide application area according to the work distribution information of the types of pesticide application equipment in the target area;

[0007] Acquire real-time parameter data information of the pesticide application influencing factors of each pesticide application area, and acquire pesticide application impact analysis results by analyzing the real-time parameter data information of the influencing factors;

[0008] By classifying the pesticide application impact analysis results, external influencing factors and internal influencing factors are obtained, relevant parameter control measures are generated based on the external influencing factors, and relevant control plans are generated according to the relevant parameter control measures;

[0009] Obtain frequency data information of the internal influencing factors, and generate relevant remedial measures according to the frequency data information of the internal influencing factors.

[0010] Furthermore, in the present method, the work distribution information of the types of pesticide application equipment in the target area is obtained, and the pesticide application influencing factor of each pesticide application area is determined according to the work distribution information of the types of pesticide application equipment in the target area, specifically including:

[0011] Acquire the communication protocol information of each pesticide application device, and construct an Internet of Things monitoring network according to the communication protocol information of each pesticide application device, and acquire the work distribution information of the pesticide application device type in the target area through the Internet of Things monitoring network;

[0012] Determine the type of construction equipment in each pesticide application area in the target area according to the work distribution information of the pesticide application equipment type in the target area, construct a search tag based on the construction equipment type, perform data search according to the search tag, and obtain sample data of influencing factors;

[0013] A multi-head attention mechanism is introduced to calculate the correlation between pesticide application and the influencing factor in the influencing factor sample data, and determine whether the correlation is greater than a preset correlation;

[0014] When the correlation is greater than the preset correlation, the influence factor corresponding to the correlation being greater than the preset correlation is used as the pesticide application influence factor, and the pesticide application influence factor of each pesticide application area is determined.

[0015] Furthermore, in the present method, real-time parameter data information of the pesticide application influencing factors of each pesticide application area is obtained, and the pesticide application impact analysis results are obtained by analyzing the real-time parameter data information of the influencing factors, which specifically includes:

[0016] Preset parameter threshold information, and obtain real-time parameter data information of the pesticide application influencing factor of each pesticide application area, and determine whether the real-time parameter data information of the pesticide application influencing factor is greater than the parameter threshold information;

[0017] When the real-time parameter data information of the pesticide application influencing factor is greater than the parameter threshold information, the influencing factor whose real-time parameter data information is greater than the parameter threshold information is taken as an abnormal influencing factor;

[0018] When the real-time parameter data information of the pesticide application influencing factor is not greater than the parameter threshold information, the influencing factor is regarded as an irrelevant influencing factor;

[0019] The pesticide application impact analysis results are generated according to the abnormal influencing factors and irrelevant influencing factors.

[0020] Furthermore, in this method, by classifying the pesticide application impact analysis results, external influencing factors and internal influencing factors are obtained, and relevant parameter control measures are generated based on the external influencing factors, specifically including:

[0021] By classifying the pesticide application impact analysis results, external influencing factors and internal influencing factors are obtained, and real-time parameter data information of the external influencing factors is obtained;

[0022] Obtain the application data information of each application device during the application process through big data, and calculate the correlation between the application data information and external influencing factors through grey correlation analysis;

[0023] Calculate the pesticide offset of the pesticide application device during the pesticide application process according to the real-time parameter data information of the external influencing factors and the correlation;

[0024] Relevant parameter control measures are generated according to the pesticide offset of the pesticide application device during the pesticide application process, and the pesticide application device is controlled according to the relevant parameter control measures.

[0025] Furthermore, in this method, the frequency data information of the occurrence of the internal influencing factors is obtained, and relevant remedial measures are generated according to the frequency data information of the occurrence of the internal influencing factors, specifically including:

[0026] Determine whether the medicine dispensing device has a communication interruption when receiving the control information, and when the medicine dispensing device has a communication interruption when receiving the control information, obtain the frequency data information of the internal influencing factor;

[0027] Preset intermittent frequency threshold information, and determine whether the frequency data information of the internal influencing factor is greater than the preset intermittent frequency threshold information;

[0028] When the frequency data information of the occurrence of the internal influencing factor is greater than the preset intermittent frequency threshold information, the current spraying device is controlled to stop working, and the control information within the previous preset time is obtained;

[0029] The time node when the dispensing device experiences communication interruption when receiving control information is obtained, and the control information of packet loss is obtained based on the control information within the last preset time and the time node, and relevant remedial measures are generated based on the control information of packet loss.

[0030] Furthermore, in this method, the pesticide application control method based on multi-dimensional analysis further includes the following steps:

[0031] Obtaining the working quantity information of the spraying equipment in the current target area and the maximum information transmission rate information of the Internet of Things monitoring network, and calculating the average transmission rate information according to the working quantity information of the spraying equipment in the current target area and the maximum information transmission rate information of the Internet of Things monitoring network;

[0032] Preset average transmission rate threshold information, when the average transmission rate information is lower than the average transmission rate threshold information, initialize the number information of information transmission nodes, and calculate the adjusted average transmission rate information according to the number information of information transmission nodes;

[0033] Introducing a genetic algorithm, and setting genetic algebraic data information according to the genetic algorithm, and when the adjusted average transmission rate information is lower than the average transmission rate threshold information, iterating the number information of the information transmission nodes according to the genetic algebraic data information;

[0034] When the adjusted average transmission rate information is lower than the average transmission rate threshold information, the quantity information of the corresponding information transmission nodes is obtained and output, and the quantity information of the corresponding information transmission nodes is periodically adjusted according to the average transmission rate information.

[0035] A second aspect of the present invention provides a pesticide application control system based on multi-dimensional analysis, the system comprising a memory and a processor, the memory comprising a pesticide application control method program based on multi-dimensional analysis, and when the pesticide application control method program based on multi-dimensional analysis is executed by the processor, the following steps are implemented:

[0036] Acquire the work distribution information of the types of pesticide application equipment in the target area, and determine the pesticide application influencing factor of each pesticide application area according to the work distribution information of the types of pesticide application equipment in the target area;

[0037] Acquire real-time parameter data information of the pesticide application influencing factors of each pesticide application area, and acquire pesticide application impact analysis results by analyzing the real-time parameter data information of the influencing factors;

[0038] By classifying the pesticide application impact analysis results, external influencing factors and internal influencing factors are obtained, relevant parameter control measures are generated based on the external influencing factors, and relevant control plans are generated according to the relevant parameter control measures;

[0039] Obtain frequency data information of the internal influencing factors, and generate relevant remedial measures according to the frequency data information of the internal influencing factors.

[0040] Furthermore, in the system, the frequency data information of the occurrence of the internal influencing factors is obtained, and relevant remedial measures are generated according to the frequency data information of the occurrence of the internal influencing factors, specifically including:

[0041] Determine whether the medicine dispensing device has a communication interruption when receiving the control information, and when the medicine dispensing device has a communication interruption when receiving the control information, obtain the frequency data information of the internal influencing factor;

[0042] Preset intermittent frequency threshold information, and determine whether the frequency data information of the internal influencing factor is greater than the preset intermittent frequency threshold information;

[0043] When the frequency data information of the occurrence of the internal influencing factor is greater than the preset intermittent frequency threshold information, the current spraying device is controlled to stop working, and the control information within the previous preset time is obtained;

[0044] The time node when the dispensing device experiences communication interruption when receiving control information is obtained, and the control information of packet loss is obtained based on the control information within the last preset time and the time node, and relevant remedial measures are generated based on the control information of packet loss.

[0045] Furthermore, in this system, the pesticide application control system based on multi-dimensional analysis further includes the following steps:

[0046] Obtaining the working quantity information of the spraying equipment in the current target area and the maximum information transmission rate information of the Internet of Things monitoring network, and calculating the average transmission rate information according to the working quantity information of the spraying equipment in the current target area and the maximum information transmission rate information of the Internet of Things monitoring network;

[0047] Preset average transmission rate threshold information, when the average transmission rate information is lower than the average transmission rate threshold information, initialize the number information of information transmission nodes, and calculate the adjusted average transmission rate information according to the number information of information transmission nodes;

[0048] Introducing a genetic algorithm, and setting genetic algebraic data information according to the genetic algorithm, and when the adjusted average transmission rate information is lower than the average transmission rate threshold information, iterating the number information of the information transmission nodes according to the genetic algebraic data information;

[0049] When the adjusted average transmission rate information is lower than the average transmission rate threshold information, the quantity information of the corresponding information transmission nodes is obtained and output, and the quantity information of the corresponding information transmission nodes is periodically adjusted according to the average transmission rate information.

[0050] The third aspect of the present invention provides a computer-readable storage medium, which includes a pesticide application control method program based on multi-dimensional analysis. When the pesticide application control method program based on multi-dimensional analysis is executed by a processor, it implements any step of the pesticide application control method based on multi-dimensional analysis.

[0051] The present invention solves the defects existing in the background technology and has the following beneficial effects:

[0052] The present invention obtains the work distribution information of the type of pesticide application equipment in the target area, and determines the pesticide application influencing factors of each pesticide application area according to the work distribution information of the type of pesticide application equipment in the target area, and then obtains the real-time parameter data information of the pesticide application influencing factors of each pesticide application area, and obtains the pesticide application impact analysis results by analyzing the real-time parameter data information of the influencing factors, thereby classifying the pesticide application impact analysis results, obtaining external influencing factors and internal influencing factors, generating relevant parameter control measures based on the external influencing factors, and generating relevant control plans according to the relevant parameter control measures, and finally obtaining the frequency data information of the occurrence of the internal influencing factors, and generating relevant remedial measures according to the frequency data information of the occurrence of the internal influencing factors. The present invention fully considers the external influencing factors and internal influencing factors of the pesticide application equipment during the construction process, so as to generate relevant control measures according to the external influencing factors and internal influencing factors of the pesticide application equipment during the construction process, especially when the pesticide application equipment and the Internet of Things terminal have abnormal communication, by setting relevant control measures to avoid the phenomenon of multiple spraying, the pesticide application process is more reasonable. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without paying creative work.

[0054] Figure 1 The overall method flow chart of the pesticide application control method based on multi-dimensional analysis is shown;

[0055] Figure 2 A first method flow chart of a pesticide application control method based on multi-dimensional analysis is shown;

[0056] Figure 3 A second method flow chart of the pesticide application control method based on multi-dimensional analysis is shown;

[0057] Figure 4 A system block diagram of a pesticide application control system based on multi-dimensional analysis is shown. DETAILED DESCRIPTION

[0058] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0059] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0060] like Figure 1 As shown, the first aspect of the present invention provides a pesticide application control method based on multi-dimensional analysis, comprising the following steps:

[0061] S102: Acquire the work distribution information of the types of pesticide application equipment in the target area, and determine the pesticide application influencing factor of each pesticide application area according to the work distribution information of the types of pesticide application equipment in the target area;

[0062] S104: acquiring real-time parameter data information of the pesticide application influencing factors of each pesticide application area, and acquiring pesticide application impact analysis results by analyzing the real-time parameter data information of the influencing factors;

[0063] S106: obtaining external influencing factors and internal influencing factors by classifying the pesticide application impact analysis results, generating relevant parameter control measures based on the external influencing factors, and generating relevant control plans according to the relevant parameter control measures;

[0064] S108: Obtain frequency data information of the internal influencing factors, and generate relevant remedial measures according to the frequency data information of the internal influencing factors.

[0065] It should be noted that the present invention fully considers the external and internal influencing factors of the pesticide application equipment during the construction process, and generates relevant control measures according to the external and internal influencing factors of the pesticide application equipment during the construction process, especially when there is a communication abnormality between the pesticide application equipment and the Internet of Things terminal, by setting relevant control measures, the phenomenon of over-spraying can be avoided, making the pesticide application process more reasonable.

[0066] Furthermore, in the present method, the work distribution information of the types of pesticide application equipment in the target area is obtained, and the pesticide application influencing factor of each pesticide application area is determined according to the work distribution information of the types of pesticide application equipment in the target area, specifically including:

[0067] Acquire the communication protocol information of each pesticide application device, and construct an Internet of Things monitoring network according to the communication protocol information of each pesticide application device, and acquire the work distribution information of the pesticide application device type in the target area through the Internet of Things monitoring network;

[0068] Determine the type of construction equipment in each pesticide application area in the target area according to the work distribution information of the pesticide application equipment type in the target area, construct a search tag based on the construction equipment type, perform data search according to the search tag, and obtain sample data of influencing factors;

[0069] A multi-head attention mechanism is introduced to calculate the correlation between pesticide application and the influencing factor in the influencing factor sample data, and determine whether the correlation is greater than a preset correlation;

[0070] When the correlation is greater than the preset correlation, the influence factor corresponding to the correlation being greater than the preset correlation is used as the pesticide application influence factor, and the pesticide application influence factor of each pesticide application area is determined.

[0071] It should be noted that the multi-head attention mechanism can obtain the correlation between pesticide application and influencing factors from the influencing factor sample data, such as "the pesticide application process is related to wind direction factors, application height, etc." The multi-head attention mechanism can know the correlation between pesticide application and wind direction factors and application height. This method can more accurately obtain the influencing factors of each pesticide application device, such as plant protection drone pesticide application devices, plant protection vehicle pesticide application devices, etc., and different pesticide application devices may also have different related influencing factors. For example, plant protection drones are related to application height and application wind direction, and plant protection vehicle pesticide application devices are mainly related to application wind direction because the application height is basically determined.

[0072] Furthermore, in the present method, real-time parameter data information of the pesticide application influencing factors of each pesticide application area is obtained, and the pesticide application impact analysis results are obtained by analyzing the real-time parameter data information of the influencing factors, which specifically includes:

[0073] Preset parameter threshold information, and obtain real-time parameter data information of the pesticide application influencing factor of each pesticide application area, and determine whether the real-time parameter data information of the pesticide application influencing factor is greater than the parameter threshold information;

[0074] When the real-time parameter data information of the pesticide application influencing factor is greater than the parameter threshold information, the influencing factor whose real-time parameter data information is greater than the parameter threshold information is taken as an abnormal influencing factor;

[0075] When the real-time parameter data information of the pesticide application influencing factor is not greater than the parameter threshold information, the influencing factor is regarded as an irrelevant influencing factor;

[0076] The pesticide application impact analysis results are generated according to the abnormal influencing factors and irrelevant influencing factors.

[0077] It should be noted that external influencing factors are mainly environmental factors, such as wind direction, and internal influencing factors are mainly information transmission rate. If the information transmission rate is delayed or interrupted, the spraying equipment cannot be connected to the remote Internet of Things control terminal, which may cause missed spraying or over-spraying.

[0078] Furthermore, in this method, by classifying the pesticide application impact analysis results, external influencing factors and internal influencing factors are obtained, and relevant parameter control measures are generated based on the external influencing factors, specifically including:

[0079] By classifying the pesticide application impact analysis results, external influencing factors and internal influencing factors are obtained, and real-time parameter data information of the external influencing factors is obtained;

[0080] Obtain the application data information of each application device during the application process through big data, and calculate the correlation between the application data information and external influencing factors through grey correlation analysis;

[0081] Calculate the pesticide offset of the pesticide application device during the pesticide application process according to the real-time parameter data information of the external influencing factors and the correlation;

[0082] Relevant parameter control measures are generated according to the pesticide offset of the pesticide application device during the pesticide application process, and the pesticide application device is controlled according to the relevant parameter control measures.

[0083] It should be noted that when the influencing factor is an external influencing factor, relevant parameter control measures are generated according to the pesticide offset of the spraying equipment during the spraying process, and the spraying equipment is controlled according to the relevant parameter control measures. Through this setting, the spraying parameters of the spraying equipment can be regulated according to factors such as wind direction factors.

[0084] like Figure 2 As shown, further, in this method, the frequency data information of the internal influencing factors is obtained, and the relevant remedial measures are generated according to the frequency data information of the internal influencing factors, which specifically include:

[0085] S202: determining whether the medicine applicator has a communication interruption when receiving control information, and when the medicine applicator has a communication interruption when receiving control information, obtaining frequency data information of the internal influencing factor;

[0086] S204: Preset the intermittent frequency threshold information, and determine whether the frequency data information of the internal influencing factor is greater than the preset intermittent frequency threshold information;

[0087] S206: When the frequency data information of the internal influencing factor is greater than the preset intermittent frequency threshold information, the current spraying device is controlled to stop working, and the control information within the last preset time is obtained;

[0088] S208: Obtain the time node when the dispensing device experiences communication interruption in receiving control information, and obtain control information of packet loss based on the control information within the previous preset time and the time node, and generate relevant remedial measures based on the control information of packet loss.

[0089] It should be noted that when communication anomalies occur, this method can avoid the phenomenon of missed spraying or over-spraying, making the spraying device more reasonable during the spraying process.

[0090] like Figure 3 As shown, further, in this method, the pesticide application control method based on multi-dimensional analysis also includes the following steps:

[0091] S302: Acquire the working quantity information of the spraying equipment in the current target area and the maximum information transmission rate information of the Internet of Things monitoring network, and calculate the average transmission rate information according to the working quantity information of the spraying equipment in the current target area and the maximum information transmission rate information of the Internet of Things monitoring network;

[0092] S304: Preset average transmission rate threshold information, when the average transmission rate information is lower than the average transmission rate threshold information, initialize the number information of information transmission nodes, and calculate the adjusted average transmission rate information according to the number information of information transmission nodes;

[0093] S306: introducing a genetic algorithm, and setting genetic algebraic data information according to the genetic algorithm, and when the adjusted average transmission rate information is lower than the average transmission rate threshold information, iterating the number information of the information transmission nodes according to the genetic algebraic data information;

[0094] S308: When the adjusted average transmission rate information is lower than the average transmission rate threshold information, obtain the quantity information of the corresponding information transmission nodes, output the quantity information of the corresponding information transmission nodes, and regularly adjust the quantity information of the information transmission nodes according to the average transmission rate information.

[0095] It should be noted that this method can avoid the situation where the pesticide application equipment cannot be connected to the remote Internet of Things control terminal due to delays or interruptions in the information transmission rate, thereby avoiding missed spraying or over-spraying and improving the timeliness of pesticide application control.

[0096] like Figure 4 As shown, the second aspect of the present invention provides a pesticide application control system 4 based on multi-dimensional analysis, the system includes a memory 41 and a processor 62, the memory 41 includes a pesticide application control method program based on multi-dimensional analysis, and when the pesticide application control method program based on multi-dimensional analysis is executed by the processor 62, the following steps are implemented:

[0097] Acquire the work distribution information of the types of pesticide application equipment in the target area, and determine the pesticide application influencing factor of each pesticide application area according to the work distribution information of the types of pesticide application equipment in the target area;

[0098] Acquire real-time parameter data information of the pesticide application influencing factors of each pesticide application area, and acquire pesticide application impact analysis results by analyzing the real-time parameter data information of the influencing factors;

[0099] By classifying the pesticide application impact analysis results, external influencing factors and internal influencing factors are obtained, relevant parameter control measures are generated based on the external influencing factors, and relevant control plans are generated according to the relevant parameter control measures;

[0100] Obtain frequency data information of the internal influencing factors, and generate relevant remedial measures according to the frequency data information of the internal influencing factors.

[0101] Furthermore, in the system, the frequency data information of the occurrence of the internal influencing factors is obtained, and relevant remedial measures are generated according to the frequency data information of the occurrence of the internal influencing factors, specifically including:

[0102] Determine whether the medicine dispensing device has a communication interruption when receiving the control information, and when the medicine dispensing device has a communication interruption when receiving the control information, obtain the frequency data information of the internal influencing factor;

[0103] Preset intermittent frequency threshold information, and determine whether the frequency data information of the internal influencing factor is greater than the preset intermittent frequency threshold information;

[0104] When the frequency data information of the occurrence of the internal influencing factor is greater than the preset intermittent frequency threshold information, the current spraying device is controlled to stop working, and the control information within the previous preset time is obtained;

[0105] The time node when the dispensing device experiences communication interruption when receiving control information is obtained, and the control information of packet loss is obtained based on the control information within the last preset time and the time node, and relevant remedial measures are generated based on the control information of packet loss.

[0106] Furthermore, in this system, the pesticide application control system based on multi-dimensional analysis further includes the following steps:

[0107] Obtaining the working quantity information of the spraying equipment in the current target area and the maximum information transmission rate information of the Internet of Things monitoring network, and calculating the average transmission rate information according to the working quantity information of the spraying equipment in the current target area and the maximum information transmission rate information of the Internet of Things monitoring network;

[0108] Preset average transmission rate threshold information, when the average transmission rate information is lower than the average transmission rate threshold information, initialize the number information of information transmission nodes, and calculate the adjusted average transmission rate information according to the number information of information transmission nodes;

[0109] Introducing a genetic algorithm, and setting genetic algebraic data information according to the genetic algorithm, and when the adjusted average transmission rate information is lower than the average transmission rate threshold information, iterating the number information of the information transmission nodes according to the genetic algebraic data information;

[0110] When the adjusted average transmission rate information is lower than the average transmission rate threshold information, the quantity information of the corresponding information transmission nodes is obtained and output, and the quantity information of the corresponding information transmission nodes is periodically adjusted according to the average transmission rate information.

[0111] The third aspect of the present invention provides a computer-readable storage medium, which includes a pesticide application control method program based on multi-dimensional analysis. When the pesticide application control method program based on multi-dimensional analysis is executed by a processor, it implements any step of the pesticide application control method based on multi-dimensional analysis.

[0112] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0113] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0114] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0115] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0116] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods of each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

[0117] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A pesticide application control method based on multi-dimensional analysis, characterized in that: The following steps are involved: Acquire the work distribution information of the types of pesticide application equipment in the target area, and determine the pesticide application influencing factor of each pesticide application area according to the work distribution information of the types of pesticide application equipment in the target area; Acquire real-time parameter data information of the pesticide application influencing factors of each pesticide application area, and acquire pesticide application impact analysis results by analyzing the real-time parameter data information of the influencing factors; By classifying the pesticide application impact analysis results, external influencing factors and internal influencing factors are obtained, relevant parameter control measures are generated based on the external influencing factors, and relevant control plans are generated according to the relevant parameter control measures; Obtaining frequency data information of the internal influencing factors, and generating relevant remedial measures according to the frequency data information of the internal influencing factors; The external influencing factor is an environmental influencing factor, and the internal influencing factor is an information transmission rate.

2. The pesticide application control method based on multi-dimensional analysis according to claim 1, characterized in that: Obtaining the work distribution information of the types of pesticide application equipment in the target area, and determining the pesticide application influencing factor of each pesticide application area according to the work distribution information of the types of pesticide application equipment in the target area, specifically including: Acquire the communication protocol information of each pesticide application device, and construct an Internet of Things monitoring network according to the communication protocol information of each pesticide application device, and acquire the work distribution information of the pesticide application device type in the target area through the Internet of Things monitoring network; Determine the type of construction equipment in each pesticide application area in the target area according to the work distribution information of the pesticide application equipment type in the target area, construct a search tag based on the construction equipment type, perform data search according to the search tag, and obtain sample data of influencing factors; A multi-head attention mechanism is introduced to calculate the correlation between pesticide application and the influencing factor in the influencing factor sample data, and determine whether the correlation is greater than a preset correlation; When the correlation is greater than the preset correlation, the influence factor corresponding to the correlation being greater than the preset correlation is used as the pesticide application influence factor, and the pesticide application influence factor of each pesticide application area is determined.

3. The pesticide application control method based on multi-dimensional analysis according to claim 1, characterized in that: Acquiring real-time parameter data information of the pesticide application influencing factors of each pesticide application area, and acquiring pesticide application impact analysis results by analyzing the real-time parameter data information of the influencing factors, specifically including: Preset parameter threshold information, and obtain real-time parameter data information of the pesticide application influencing factor of each pesticide application area, and determine whether the real-time parameter data information of the pesticide application influencing factor is greater than the parameter threshold information; When the real-time parameter data information of the pesticide application influencing factor is greater than the parameter threshold information, the influencing factor whose real-time parameter data information is greater than the parameter threshold information is taken as an abnormal influencing factor; When the real-time parameter data information of the pesticide application influencing factor is not greater than the parameter threshold information, the influencing factor is regarded as an irrelevant influencing factor; The pesticide application impact analysis results are generated according to the abnormal influencing factors and irrelevant influencing factors.

4. The pesticide application control method based on multi-dimensional analysis according to claim 1, characterized in that: By classifying the analysis results of the impact of pesticide application, external influencing factors and internal influencing factors are obtained, and relevant parameter control measures are generated based on the external influencing factors, specifically including: By classifying the pesticide application impact analysis results, external influencing factors and internal influencing factors are obtained, and real-time parameter data information of the external influencing factors is obtained; Obtain the application data information of each application device during the application process through big data, and calculate the correlation between the application data information and external influencing factors through grey correlation analysis; Calculate the pesticide offset of the pesticide application device during the pesticide application process according to the real-time parameter data information of the external influencing factors and the correlation; Relevant parameter control measures are generated according to the pesticide offset of the pesticide application device during the pesticide application process, and the pesticide application device is controlled according to the relevant parameter control measures.

5. The pesticide application control method based on multi-dimensional analysis according to claim 1, characterized in that: Obtaining frequency data information of the internal influencing factors, and generating relevant remedial measures according to the frequency data information of the internal influencing factors, specifically including: Determine whether the medicine dispensing device has a communication interruption when receiving the control information, and when the medicine dispensing device has a communication interruption when receiving the control information, obtain the frequency data information of the internal influencing factor; Preset intermittent frequency threshold information, and determine whether the frequency data information of the internal influencing factor is greater than the preset intermittent frequency threshold information; When the frequency data information of the occurrence of the internal influencing factor is greater than the preset intermittent frequency threshold information, the current spraying device is controlled to stop working, and the control information within the previous preset time is obtained; The time node when the dispensing device experiences communication interruption when receiving control information is obtained, and the control information of packet loss is obtained based on the control information within the last preset time and the time node, and relevant remedial measures are generated based on the control information of packet loss.

6. The pesticide application control method based on multi-dimensional analysis according to claim 5, characterized in that: The following steps are also included: Obtaining the working quantity information of the spraying equipment in the current target area and the maximum information transmission rate information of the Internet of Things monitoring network, and calculating the average transmission rate information according to the working quantity information of the spraying equipment in the current target area and the maximum information transmission rate information of the Internet of Things monitoring network; Preset average transmission rate threshold information, when the average transmission rate information is lower than the average transmission rate threshold information, initialize the number information of information transmission nodes, and calculate the adjusted average transmission rate information according to the number information of information transmission nodes; Introducing a genetic algorithm, and setting genetic algebraic data information according to the genetic algorithm, and when the adjusted average transmission rate information is lower than the average transmission rate threshold information, iterating the number information of the information transmission nodes according to the genetic algebraic data information; When the adjusted average transmission rate information is lower than the average transmission rate threshold information, the quantity information of the corresponding information transmission nodes is obtained and output, and the quantity information of the corresponding information transmission nodes is periodically adjusted according to the average transmission rate information.

7. A pesticide application control system based on multi-dimensional analysis, characterized in that: The system includes a memory and a processor, wherein the memory includes a pesticide application control method program based on multi-dimensional analysis, and when the pesticide application control method program based on multi-dimensional analysis is executed by the processor, the following steps are implemented: Acquire the work distribution information of the types of pesticide application equipment in the target area, and determine the pesticide application influencing factor of each pesticide application area according to the work distribution information of the types of pesticide application equipment in the target area; Acquire real-time parameter data information of the pesticide application influencing factors of each pesticide application area, and acquire pesticide application impact analysis results by analyzing the real-time parameter data information of the influencing factors; By classifying the pesticide application impact analysis results, external influencing factors and internal influencing factors are obtained, relevant parameter control measures are generated based on the external influencing factors, and relevant control plans are generated according to the relevant parameter control measures; Obtaining frequency data information of the internal influencing factors, and generating relevant remedial measures according to the frequency data information of the internal influencing factors; The external influencing factor is an environmental influencing factor, and the internal influencing factor is an information transmission rate.

8. The pesticide application control system based on multi-dimensional analysis according to claim 7, characterized in that: Obtaining frequency data information of the internal influencing factors, and generating relevant remedial measures according to the frequency data information of the internal influencing factors, specifically including: Determine whether the medicine dispensing device has a communication interruption when receiving the control information, and when the medicine dispensing device has a communication interruption when receiving the control information, obtain the frequency data information of the internal influencing factor; Preset intermittent frequency threshold information, and determine whether the frequency data information of the internal influencing factor is greater than the preset intermittent frequency threshold information; When the frequency data information of the occurrence of the internal influencing factor is greater than the preset intermittent frequency threshold information, the current spraying device is controlled to stop working, and the control information within the previous preset time is obtained; The time node when the dispensing device experiences communication interruption when receiving control information is obtained, and the control information of packet loss is obtained based on the control information within the last preset time and the time node, and relevant remedial measures are generated based on the control information of packet loss.

9. The pesticide application control system based on multi-dimensional analysis according to claim 7, characterized in that: The following steps are also included: Obtaining the working quantity information of the spraying equipment in the current target area and the maximum information transmission rate information of the Internet of Things monitoring network, and calculating the average transmission rate information according to the working quantity information of the spraying equipment in the current target area and the maximum information transmission rate information of the Internet of Things monitoring network; Preset average transmission rate threshold information, when the average transmission rate information is lower than the average transmission rate threshold information, initialize the number information of information transmission nodes, and calculate the adjusted average transmission rate information according to the number information of information transmission nodes; Introducing a genetic algorithm, and setting genetic algebraic data information according to the genetic algorithm, and when the adjusted average transmission rate information is lower than the average transmission rate threshold information, iterating the number information of the information transmission nodes according to the genetic algebraic data information; When the adjusted average transmission rate information is lower than the average transmission rate threshold information, the quantity information of the corresponding information transmission nodes is obtained and output, and the quantity information of the corresponding information transmission nodes is periodically adjusted according to the average transmission rate information.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a pesticide application control method program based on multi-dimensional analysis. When the pesticide application control method program based on multi-dimensional analysis is executed by a processor, the steps of the pesticide application control method based on multi-dimensional analysis as described in any one of claims 1-6 are implemented.

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