Intelligent classification prevention and control system and method for agricultural non-point source pollution management

Abstract

The invention discloses an intelligent classification prevention and control system and method for agricultural non-point source pollution management, and relates to the technical field of agricultural non-point source pollution management. In order to solve the problem in the prior art that it is impossible to match corresponding governance measures based on specific pollution causes in agricultural production models, and it is impossible to build targeted classification prevention and control schemes based on agricultural non-point source pollution types; an intelligent classification prevention and control system for agricultural non-point source pollution management includes an agricultural data collection terminal and a classification prevention and control control unit; by real-time collection of agricultural environmental data and agricultural image data in an agricultural non-point source pollution management area, the agricultural environment and agricultural production types of the area are determined, the agricultural production types are classified based on the acquired agricultural image data, and marked on a map of a remote management platform in real time, which is convenient for remote management personnel to monitor and manage and analyze, ensures the analysis and processing efficiency of the agricultural non-point source pollution management area, and improves the intelligent level of prevention and control.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural non-point source pollution management, and in particular to an intelligent classification prevention and control system and method for agricultural non-point source pollution management. Background Art

[0002] Agricultural non-point source pollution refers to dissolved or solid pollutants in rural life and agricultural production activities, such as soil particles, nitrogen, phosphorus, pesticides and heavy metals, rural livestock manure, domestic garbage and other organic or inorganic substances in farmland, which enter receiving water bodies such as rivers, lakes, reservoirs and bays from non-specific areas through farmland surface runoff, farmland drainage and underground seepage under the action of precipitation and runoff. There are relevant patents about the prevention and control system of agricultural non-point source pollution. For example, the Chinese patent with the announcement number CN107771603B discloses a classified comprehensive prevention and control method for urban agricultural non-point source pollution, which belongs to the field of ecological agriculture. The method includes the following steps: according to the different types of large-scale industries appearing in the agricultural production model of the region, the region is divided into three types of agricultural industries: facility agriculture, urban nurseries and urban orchards; prevention and control of facility agriculture; prevention and control of urban nurseries; prevention and control of urban orchards; this patent establishes a comprehensive prevention and control technology system for agricultural non-point source pollution, proposes effective theoretical and practical guidance for agricultural non-point source pollution in new agricultural production models, provides scientific basis and technical demonstration, and achieves good pollution removal effect with significant economic benefits.

[0003] Although the above patents are classified according to regional agricultural production models, the following problems still exist:

[0004] In the existing technology, it is impossible to match corresponding control measures based on the specific pollution causes in the agricultural production model, and it is impossible to build targeted classification and prevention plans based on the types of agricultural non-point source pollution. Although there is prevention and control management of agricultural non-point source pollution, it is difficult to form effective management due to personnel allocation issues. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent classification prevention and control system and method for agricultural non-point source pollution management. By real-time collection of agricultural environmental data and agricultural image data in the agricultural non-point source pollution management area, specific measures for targeted prevention and control management plans for the area based on agricultural production types are constructed, thereby improving the accuracy of classification prevention and control and the level of intelligence of prevention and control, so as to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] Intelligent classification and prevention system for agricultural non-point source pollution management, including:

[0008] Agricultural data collection terminal, used to collect agricultural environment and agricultural image data in agricultural non-point source pollution management areas in real time, classify agricultural image data, and transmit data to classification prevention and control units for remote control based on the classification results;

[0009] The classification prevention and control management unit is used to obtain the data actively uploaded by the agricultural data collection terminal, extract the agricultural image data in each category based on the classification results, identify the non-point source pollution data in the category, and perform prevention and control management based on the identification results;

[0010] The classification prevention and control unit is also used to obtain the image data collected by the agricultural data collection terminal in real time on the remote management platform, build a plane map based on the agricultural non-point source pollution management area, and mark the identified non-point source pollution data on the plane map until the non-point source pollution is eliminated.

[0011] Furthermore, the agricultural data collection terminal includes:

[0012] An agricultural data collection module, used for obtaining a data collection route map, and collecting agricultural environmental data and agricultural image data around the data collection route in the agricultural non-point source pollution management area based on the data collection route of the data collection route map;

[0013] An agricultural data classification module is used to extract a target image based on the acquired agricultural image data, perform feature recognition on the target image, determine the agricultural type in the target image, and integrate the agricultural image data based on the agricultural type to obtain multiple target sub-datasets;

[0014] The data transmission module is used to establish a data interaction channel between the agricultural data collection terminal and the remote management platform based on the Internet of Things, and transmit the target sub-data set to the remote management platform based on the data interaction channel.

[0015] Furthermore, the agricultural data classification module is specifically:

[0016] Acquire agricultural image data collected by the agricultural data collection terminal, perform frame processing on the agricultural image data, and obtain processing results;

[0017] Extracting agricultural type feature points from each frame of the image in the processing result, and extracting target image data of agricultural type feature points appearing in each frame of the image after obtaining the feature point extraction result;

[0018] Performing image recognition on the target image data, determining the feature type of the agricultural type feature point in the target image data, and determining the agricultural type name of the feature type;

[0019] Integrate the target image data based on the agricultural type name to generate an agricultural image dataset of the agricultural type;

[0020] Based on the agricultural image dataset of the agricultural type, coordinate data carried by the agricultural image dataset is acquired to generate a sub-dataset for each area in the agricultural type.

[0021] Furthermore, the classification prevention and control unit includes:

[0022] A data storage module, used to classify and store the acquired sub-data sets of each area into a prevention and control database based on a data interaction channel;

[0023] A data display module is used to construct a two-dimensional plane map consistent with the agricultural non-point source pollution management area, display the acquired agricultural image data in real time, and mark the agricultural type corresponding to each area on the two-dimensional plane map;

[0024] The point marking module is used to obtain the agricultural non-point source pollution identification results corresponding to each area and mark the pollution points of the identified agricultural non-point source pollution.

[0025] Furthermore, the classification prevention and control unit also includes:

[0026] The non-point source pollution identification module is used to obtain a sub-dataset of each area, extract the target image data in the sub-dataset, and identify the agricultural non-point source pollution characteristics in the agricultural type of each area based on the agricultural type of the area;

[0027] A non-point source pollution data acquisition module, used to determine the type of agricultural non-point source pollution based on the identified agricultural non-point source pollution characteristics and determine non-point source pollution data;

[0028] The prevention and control scheme management module is used to construct the prevention and control management scheme corresponding to the agricultural type based on the agricultural type, and at the same time, obtain the feedback data of the prevention and control management feedback module to optimize the prevention and control management scheme;

[0029] The prevention and control scheme matching module is used to match the corresponding prevention and control management scheme based on the surface source pollution data;

[0030] The prevention and control management feedback module is used to update the execution progress of the prevention and control management plan in real time, evaluate the prevention and control management results of the prevention and control management plan, and generate feedback data based on the evaluation results.

[0031] Furthermore, the classification prevention and control unit also includes:

[0032] A thread establishment module, used to establish an information communication thread between the classification prevention and control management unit and the agricultural data collection terminal;

[0033] A request receiving module, used for receiving in real time a data upload request sent by the agricultural data collection terminal; wherein the data long transmission request includes the data amount of the data to be uploaded;

[0034] A data splitting module is used to set a data unit amount according to the data amount, split the data to be uploaded according to the data unit amount, and set the remaining data less than one data unit amount after splitting according to the data unit amount as a data set to obtain multiple split data sets; wherein the data unit amount is obtained by the following formula:

[0035]

[0036] Among them, C d Indicates the unit quantity of data; C dp It represents the average value of the amount of data collected per unit time by the agricultural data collection terminal, and the value range of the unit time is 3s-5s; C dmax and C dmin They represent the maximum and minimum data collected by the agricultural data collection terminal in a unit time respectively; C i represents the amount of data collected by the agricultural data collection terminal at the i-th unit time in the unit time that has passed; n represents the number of unit time that has passed; e represents a constant; C0 represents a preset data volume reference value;

[0037] A data packet acquisition module, used to package the plurality of split data sets respectively to obtain data packets corresponding to the data sets one by one;

[0038] The data uploading module is used to upload the plurality of data packets in sequence to the classification prevention and control management unit through the information communication site.

[0039] Furthermore, the thread establishment module includes:

[0040] The first setting module is used to set the number of information communication threads between the classification prevention and control unit and the agricultural data collection terminal; wherein the number of information communication threads is obtained by the following method:

[0041] Extracting the average value of the amount of data collected per unit time by the agricultural data collection terminal;

[0042] Compare the average value of the amount of data collected per unit time by the agricultural data collection terminal with a preset data amount threshold;

[0043] When the average value of the amount of data collected per unit time by the agricultural data collection terminal does not exceed a preset data amount threshold, the number of the information communication threads is obtained according to a first quantity model;

[0044] When the average amount of data collected per unit time by the agricultural data collection terminal exceeds a preset data amount threshold, the number of the information communication threads is obtained according to a second quantity model;

[0045] The structures of the first quantity model and the second quantity model are as follows:

[0046]

[0047] Among them, M 01 and M 02 represents the number of information communication threads obtained by the first quantity model and the second quantity model respectively, and M 01 and M 02 All are rounded up; C dp It represents the average value of the amount of data collected per unit time by the agricultural data collection terminal, and the value range of the unit time is 3s-5s; C dmax and C dmin They represent the maximum and minimum data collected by the agricultural data collection terminal in a unit time respectively; C y Indicates the preset data volume threshold; M0 indicates the number of thread benchmarks, and the value of M0 is 2;

[0048] The second setting module is used to set the maximum transmission data volume per unit time of each information communication thread for each information communication thread; wherein the maximum transmission data volume per unit time of the information communication thread is obtained by the following formula:

[0049]

[0050] Among them, C t Indicates the maximum amount of data transmitted per unit time of the information communication thread; M 0i＝1.2 The number M of information communication threads obtained by the first quantity model and the second quantity model 01 and M 02 ;

[0051] A thread establishment execution module is used to establish the information communication thread between the classification prevention and control unit and the agricultural data collection terminal according to the number of information communication threads between the classification prevention and control unit and the agricultural data collection terminal and the maximum transmission data volume per unit time of each information communication thread.

[0052] Furthermore, the prevention and control plan management module is specifically:

[0053] Construct a prevention and control management plan corresponding to the agricultural type based on the agricultural type. The specific measures of the prevention and control management plan include source control measures, pollution control process measures and terminal control measures;

[0054] Analyze the prevention and control management plan and determine the priority of the prevention and control management plan;

[0055] Corresponding non-point source pollution management personnel are assigned based on the specific measures of the prevention and control management plan, and the terminal where the non-point source pollution management personnel is located executes the specific measures of the prevention and control management plan based on the priority of the prevention and control management plan.

[0056] Furthermore, the prevention and control management feedback module is specifically:

[0057] Non-point source pollution management personnel upload feedback data of the prevention and control management plan in real time based on their terminals, and determine the progress of non-point source pollution control in the agricultural non-point source pollution management area based on the feedback data;

[0058] Determine the control indicators of the prevention and control management plan for the agricultural non-point source pollution management area based on the non-point source pollution control progress results;

[0059] Conduct regular follow-up monitoring of the non-point source pollution coordinate points in the agricultural non-point source pollution management area to determine whether the non-point source pollution at the coordinate points has been completely controlled, supplemented by manual treatment;

[0060] The manual handling measures are fed back and the prevention and control management plan is optimized and updated based on the manual handling measures.

[0061] The present invention provides another technical solution, which is an intelligent classification prevention and control method for agricultural non-point source pollution management, comprising the following steps:

[0062] Step 1: The agricultural data collection terminal collects image data in the agricultural non-point source pollution management area, pre-processes the image data of the area, and classifies the data based on the agricultural production type;

[0063] Step 2: Match the classified prevention and control plans based on the obtained classified data. After matching the corresponding prevention and control plans, the prevention and control personnel will implement the prevention and control plans and provide feedback on the prevention and control results and progress of the prevention and control measures;

[0064] Step 3: The remote prevention and control management terminal displays in real time the image data collected by the agricultural data collection terminal and the image data of the prevention and control personnel executing the prevention and control plan;

[0065] Step 4: The remote prevention and control management terminal displays a map of the agricultural non-point source pollution management area in real time and marks the coordinate points where non-point source pollution exists until the non-point source pollution at the coordinate point is eliminated and the coordinate point of the non-point source pollution is deleted.

[0066] Compared with the prior art, the present invention has the following beneficial effects:

[0067] By collecting agricultural environmental data and agricultural image data in the agricultural non-point source pollution management area in real time, the agricultural environment and agricultural production types in the area can be determined, and the agricultural production types can be classified based on the acquired agricultural image data. These data are marked on the map of the remote management platform in real time to facilitate monitoring and governance analysis by remote management personnel. Specific measures for targeted prevention and control management plans based on agricultural production types in the area can be constructed, thereby ensuring the analysis and processing efficiency of the agricultural non-point source pollution management area, improving the accuracy of classified prevention and control, and improving the level of intelligent prevention and control. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 This is a module diagram of the intelligent classification prevention and control system for agricultural non-point source pollution management of the present invention;

[0069] Figure 2 This is a flow chart of the intelligent classification prevention and control method for agricultural non-point source pollution management of the present invention. DETAILED DESCRIPTION

[0070] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0071] In order to solve the technical problems in the existing technology that it is impossible to match the corresponding control measures based on the specific pollution causes in the agricultural production model, and it is impossible to build a targeted classification prevention and control plan based on the type of agricultural non-point source pollution, please refer to Figure 1 , this embodiment provides the following technical solutions:

[0072] Intelligent classification and prevention system for agricultural non-point source pollution management, including:

[0073] Agricultural data collection terminal, used to collect agricultural environment and agricultural image data in agricultural non-point source pollution management areas in real time, classify agricultural image data, and transmit data to classification prevention and control units for remote control based on the classification results;

[0074] The agricultural data collection terminal comprises:

[0075] An agricultural data collection module, used for obtaining a data collection route map, and collecting agricultural environmental data and agricultural image data around the data collection route in the agricultural non-point source pollution management area based on the data collection route of the data collection route map;

[0076] The agricultural environmental data includes air quality, air temperature and humidity, current wind speed and wind direction data; the agricultural image data is video data around the collection route collected by the camera;

[0077] An agricultural data classification module is used to extract a target image based on the acquired agricultural image data, perform feature recognition on the target image, determine the agricultural type in the target image, and integrate the agricultural image data based on the agricultural type to obtain multiple target sub-datasets;

[0078] The agricultural data classification module is specifically:

[0079] Acquire agricultural image data collected by the agricultural data collection terminal, perform frame processing on the agricultural image data, and obtain processing results;

[0080] Extracting agricultural type feature points from each frame of the image in the processing result, and extracting target image data of agricultural type feature points appearing in each frame of the image after obtaining the feature point extraction result;

[0081] Performing image recognition on the target image data, determining the feature type of the agricultural type feature point in the target image data, and determining the agricultural type name of the feature type;

[0082] The names of agricultural types include agricultural livestock and poultry breeding, rural planting and agricultural life;

[0083] Integrate the target image data based on the agricultural type name to generate an agricultural image dataset of the agricultural type;

[0084] Acquire coordinate data carried by the agricultural image dataset based on the agricultural image dataset of the agricultural type, and generate a sub-dataset for each area in the agricultural type;

[0085] A data transmission module, used to establish a data interaction channel between the agricultural data collection terminal and the remote management platform based on the Internet of Things, and transmit the target sub-data set to the remote management platform based on the data interaction channel;

[0086] The classification prevention and control management unit is used to obtain the data actively uploaded by the agricultural data collection terminal, extract the agricultural image data in each category based on the classification results, identify the non-point source pollution data in the category, and perform prevention and control management based on the identification results;

[0087] The classification prevention and control unit is also used to obtain the image data collected by the agricultural data collection terminal in real time on the remote management platform, build a plane map based on the agricultural non-point source pollution management area, and mark the identified non-point source pollution data on the plane map until the non-point source pollution is eliminated.

[0088] Specifically, by collecting agricultural environmental data and agricultural image data in the agricultural non-point source pollution management area in real time, the agricultural environment and agricultural production types in the area can be determined, and the agricultural production types are classified based on the acquired agricultural image data, and marked on the map of the remote management platform in real time, which is convenient for remote management personnel to monitor and manage and analyze, and to construct specific measures for targeted prevention and control management plans based on agricultural production types in the area, thereby ensuring the analysis and processing efficiency of the agricultural non-point source pollution management area, improving the accuracy of classified prevention and control, and improving the level of intelligent prevention and control.

[0089] In order to solve the technical problem that although there is prevention and control management of agricultural non-point source pollution in the existing technology, it is difficult to form effective management due to personnel allocation problems, please refer to Figure 1 , this embodiment provides the following technical solutions:

[0090] Classification control and management units include:

[0091] A data storage module, used to classify and store the acquired sub-data sets of each area into a prevention and control database based on a data interaction channel;

[0092] A data display module is used to construct a two-dimensional plane map consistent with the agricultural non-point source pollution management area, display the acquired agricultural image data in real time, and mark the agricultural type corresponding to each area on the two-dimensional plane map;

[0093] The point marking module is used to obtain the agricultural non-point source pollution identification results corresponding to each area and mark the pollution points of the identified agricultural non-point source pollution;

[0094] Point markings include: GPS Beidou coordinates, agricultural type area, agricultural non-point source pollution type, agricultural non-point source pollution range and discovery date;

[0095] The non-point source pollution identification module is used to obtain a sub-dataset of each area, extract the target image data in the sub-dataset, and identify the agricultural non-point source pollution characteristics in the agricultural type of each area based on the agricultural type of the area;

[0096] A non-point source pollution data acquisition module, used to determine the type of agricultural non-point source pollution based on the identified agricultural non-point source pollution characteristics and determine non-point source pollution data;

[0097] Types of agricultural non-point source pollution include fertilizer pollution, livestock and poultry breeding pollution, and domestic pollution;

[0098] Specifically, the classification prevention and control unit also includes:

[0099] A thread establishment module, used to establish an information communication thread between the classification prevention and control management unit and the agricultural data collection terminal;

[0100] A request receiving module, used for receiving in real time a data upload request sent by the agricultural data collection terminal; wherein the data long transmission request includes the data amount of the data to be uploaded;

[0101] A data splitting module is used to set a data unit amount according to the data amount, split the data to be uploaded according to the data unit amount, and set the remaining data less than one data unit amount after splitting according to the data unit amount as a data set to obtain multiple split data sets; wherein the data unit amount is obtained by the following formula:

[0102]

[0103] Among them, C d Indicates the unit quantity of data; C dp It represents the average value of the amount of data collected per unit time by the agricultural data collection terminal, and the value range of the unit time is 3s-5s; C dmax and C dmin They represent the maximum and minimum data collected by the agricultural data collection terminal in a unit time respectively; C i represents the amount of data collected by the agricultural data collection terminal at the i-th unit time in the unit time that has passed; n represents the number of unit time that has passed; e represents a constant; C0 represents a preset data volume reference value;

[0104] A data packet acquisition module, used to package the plurality of split data sets respectively to obtain data packets corresponding to the data sets one by one;

[0105] The data uploading module is used to upload the plurality of data packets in sequence to the classification prevention and control management unit through the information communication site.

[0106] The technical effects of the above technical solution are: Information communication thread establishment module: This module is used to establish an information communication thread between the classification control unit and the agricultural data collection terminal. This helps to ensure real-time data transmission and communication, thereby achieving timely monitoring and control.

[0107] Request receiving module: This module is used to receive data upload requests sent by agricultural data collection terminals in real time. By receiving requests in a timely manner, the system can be ready to receive data and process it to achieve effective data management and processing.

[0108] Data splitting module: This module sets the data unit size according to the data volume and splits the data to be uploaded according to the data unit size. The purpose of this module is to optimize data transmission and ensure that data is uploaded in an appropriate size to reduce transmission delay and resource usage.

[0109] Data Packet Acquisition Module: This module is used to pack the split data sets into data packets, ensuring that each data packet corresponds to the corresponding data set. The use of data packets helps manage and transmit data while maintaining data integrity and traceability.

[0110] Data upload module: This module is responsible for uploading multiple data packets to the classification prevention and control unit in sequence. By uploading data packets in sequence, the system can ensure the orderly transmission and processing of data.

[0111] In general, the technical effects of this technical solution are mainly reflected in the following aspects:

[0112] It provides real-time data collection and transmission capabilities, which helps to monitor and control agricultural data in a timely manner.

[0113] By splitting and packaging data, data transmission efficiency is optimized, and resource usage and transmission delay are reduced.

[0114] The integrity and traceability of data are ensured, so that data will not be lost or damaged during transmission.

[0115] The data unit quantity can be automatically adjusted according to the actual situation of the agricultural data collection terminal to adapt to different data collection rates and data volumes.

[0116] Supports simultaneous uploading of multiple data sets, thus improving the efficiency of data processing.

[0117] Overall, this technical solution aims to improve the efficiency of agricultural data collection, transmission and management to better support the work of classified prevention and control units.

[0118] Specifically, the thread establishment module includes:

[0119] The first setting module is used to set the number of information communication threads between the classification prevention and control unit and the agricultural data collection terminal; wherein the number of information communication threads is obtained by the following method:

[0120] Extracting the average value of the amount of data collected per unit time by the agricultural data collection terminal;

[0121] Compare the average value of the amount of data collected per unit time by the agricultural data collection terminal with a preset data amount threshold;

[0122] When the average value of the amount of data collected per unit time by the agricultural data collection terminal does not exceed a preset data amount threshold, the number of the information communication threads is obtained according to a first quantity model;

[0123] When the average amount of data collected per unit time by the agricultural data collection terminal exceeds a preset data amount threshold, the number of the information communication threads is obtained according to a second quantity model;

[0124] The structures of the first quantity model and the second quantity model are as follows:

[0125]

[0126]

[0127] Among them, M 01 and M 02 represents the number of information communication threads obtained by the first quantity model and the second quantity model respectively, and M 01 and M 02 All are rounded up; C dp It represents the average value of the amount of data collected per unit time by the agricultural data collection terminal, and the value range of the unit time is 3s-5s; C dmax and C dmin They represent the maximum and minimum data collected by the agricultural data collection terminal in a unit time respectively; C y Indicates the preset data volume threshold; M0 indicates the number of thread benchmarks, and the value of M0 is 2;

[0128] The second setting module is used to set the maximum transmission data volume per unit time of each information communication thread for each information communication thread; wherein the maximum transmission data volume per unit time of the information communication thread is obtained by the following formula:

[0129]

[0130] Among them, C t Indicates the maximum amount of data transmitted per unit time of the information communication thread; M 0i＝1.2 The number M of information communication threads obtained by the first quantity model and the second quantity model 01 and M 02 ;

[0131] A thread establishment execution module is used to establish the information communication thread between the classification prevention and control unit and the agricultural data collection terminal according to the number of information communication threads between the classification prevention and control unit and the agricultural data collection terminal and the maximum transmission data volume per unit time of each information communication thread.

[0132] The technical effects of the above technical solution are: Dynamic thread quantity management: through the first setting module and the second setting module, the system can dynamically adjust the number of information communication threads according to the actual situation of the agricultural data collection terminal. This means that the system can adapt to the data collection rate of different terminals, thereby achieving effective use of resources.

[0133] Resource optimization: By dynamically adjusting the number of threads, the system can reduce the number of threads to save resources when the average data volume of the agricultural data collection terminal does not exceed the preset data volume threshold. On the contrary, when the average data volume exceeds the threshold, the number of threads is increased to ensure the timeliness and efficiency of data transmission.

[0134] Control of data transmission volume per unit time: The second setting module sets the maximum data transmission volume per unit time of each information communication thread according to the results of the first quantity model and the second quantity model. This helps to avoid thread overload and ensure that each thread can effectively handle data transmission tasks.

[0135] Optimization of system performance: Through effective thread management and data transmission control, the system can improve performance and ensure timely transmission and processing of data. This is very important for real-time monitoring and control of agricultural data.

[0136] Adaptability and flexibility: The number of system threads and data transmission volume can be adjusted according to different terminals and data collection situations, so it is highly adaptable and can be applied to a variety of agricultural data collection scenarios.

[0137] In general, the technical effect of this technical solution is to realize an intelligent and adaptive thread management and data transmission control mechanism to ensure efficient, reliable and real-time transmission of agricultural data, thereby supporting the effective operation of classified control units. This can improve the quality of agricultural data management and decision-making, and improve the efficiency and sustainability of agricultural production.

[0138] The prevention and control scheme management module is used to construct the prevention and control management scheme corresponding to the agricultural type based on the agricultural type, and at the same time, obtain the feedback data of the prevention and control management feedback module to optimize the prevention and control management scheme;

[0139] Prevention and control plan management module, specifically:

[0140] Construct a prevention and control management plan corresponding to the agricultural type based on the agricultural type. The specific measures of the prevention and control management plan include source control measures, pollution control process measures and terminal control measures;

[0141] Specifically, the source control measures include: for agricultural non-point source pollution types based on fertilizer pollution, adjust the appropriate amount, fertilization method and time, improve the absorption of soil nutrients by crops, and reduce nutrient loss and environmental pollution; for agricultural non-point source pollution types based on livestock and poultry breeding pollution, adopt scientific and reasonable feed formulas, advanced manure cleaning processes and feeding management technologies to significantly reduce the amount of pollutants generated, and treat the feces of breeding farms; for agricultural non-point source pollution types based on domestic pollution, treat garbage dumps, classify solid waste, harmlessly treat agricultural waste, and centrally landfill other garbage;

[0142] Specific measures to control the pollution process include: establishing artificial wetlands, vegetation buffer zones and multi-pond systems, incorporating the management of rural sewage and river basin garbage into small watershed management, formulating and implementing restrictive agricultural production technical standards according to local conditions, including restrictions on the types and time of crop rotation in water source protection areas and water conservation areas, and restrictions on the types, amounts, and application methods of fertilizers and pesticides used in crops; requiring livestock and poultry breeding sites to be equipped with corresponding farmland nearby according to regulations and have the ability to absorb livestock and poultry manure, and requiring the construction of septic tanks that can store solid and liquid waste for more than one year;

[0143] The terminal control measures include: harmless fertilizer project of livestock and poultry manure, resource utilization project, straw resource utilization project, ecological housing construction project in central villages, and ecological planting circular economy project;

[0144] Analyze the prevention and control management plan and determine the priority of the prevention and control management plan;

[0145] Based on the specific measures of the prevention and control management plan, corresponding non-point source pollution management personnel are assigned, and the terminal where the non-point source pollution management personnel is located executes the specific measures of the prevention and control management plan based on the priority of the prevention and control management plan;

[0146] The prevention and control scheme matching module is used to match the corresponding prevention and control management scheme based on the surface source pollution data;

[0147] The prevention and control management feedback module is used to update the execution progress of the prevention and control management plan in real time, evaluate the prevention and control management results of the prevention and control management plan, and generate feedback data based on the evaluation results;

[0148] The prevention and control management feedback module is specifically:

[0149] Non-point source pollution management personnel upload feedback data of the prevention and control management plan in real time based on their terminals, and determine the progress of non-point source pollution control in the agricultural non-point source pollution management area based on the feedback data;

[0150] Determine the control indicators of the prevention and control management plan for the agricultural non-point source pollution management area based on the non-point source pollution control progress results;

[0151] Conduct regular follow-up monitoring of the non-point source pollution coordinate points in the agricultural non-point source pollution management area to determine whether the non-point source pollution at the coordinate points has been completely controlled, supplemented by manual treatment;

[0152] The manual handling measures are fed back and the prevention and control management plan is optimized and updated based on the manual handling measures.

[0153] Specifically, by identifying the characteristics of agricultural non-point source pollution in the agricultural type, and judging the type of agricultural non-point source pollution based on the identified characteristics of agricultural non-point source pollution, determining the non-point source pollution data, and constructing a prevention and control management plan corresponding to the agricultural type based on the agricultural type, the targeted nature of the prevention and control management plan is ensured, and the prevention and control management plan is processed according to the priority of the prevention and control management plan to improve the orderliness of the implementation of the prevention and control management plan and improve the prevention and control efficiency. To ensure the quality of the prevention and control management plan, the non-point source pollution coordinate points in the agricultural non-point source pollution management area are regularly followed up and monitored, assisted by manual processing, and the manual processing measures are optimized into the prevention and control management plan to facilitate the efficiency of subsequent management.

[0154] In order to better demonstrate the implementation process of the intelligent classification prevention and control system for agricultural non-point source pollution management, this embodiment proposes an intelligent classification prevention and control method for agricultural non-point source pollution management, including the following steps:

[0155] Step 1: The agricultural data collection terminal collects image data in the agricultural non-point source pollution management area, pre-processes the image data of the area, and classifies the data based on the agricultural production type;

[0156] Step 2: Match the classified prevention and control plan based on the obtained classified data. After matching the corresponding prevention and control plan, the prevention and control personnel will execute the prevention and control plan and provide feedback on the prevention and control results and the progress of the prevention and control measures, so as to facilitate the prevention and control personnel to execute the corresponding plan and reduce maintenance costs;

[0157] Step 3: The remote prevention and control management terminal displays in real time the image data collected by the agricultural data collection terminal and the image data of the prevention and control personnel executing the prevention and control plan;

[0158] Step 4: The remote prevention and control management terminal displays a map of the agricultural non-point source pollution management area in real time and marks the coordinate points of each non-point source pollution until the non-point source pollution at the coordinate point is eliminated. The coordinate points of the non-point source pollution are deleted, further reducing manual labor and avoiding re-inspections and missed inspections during manual inspections.

[0159] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An intelligent classification and prevention and control system for agricultural non-point source pollution management, characterized by: include: Agricultural data collection terminal, used to collect agricultural environment and agricultural image data in agricultural non-point source pollution management areas in real time, classify agricultural image data, and transmit data to classification prevention and control units for remote control based on the classification results; The classification prevention and control management unit is used to obtain the data actively uploaded by the agricultural data collection terminal, extract the agricultural image data in each category based on the classification results, identify the non-point source pollution data in the category, and perform prevention and control management based on the identification results; The classification prevention and control unit is further used to obtain the image data collected by the agricultural data collection terminal in real time on the remote management platform, build a plane map based on the agricultural non-point source pollution management area, and mark the identified non-point source pollution data on the plane map until the non-point source pollution is eliminated; The agricultural data collection terminal comprises: An agricultural data collection module, used for obtaining a data collection route map, and collecting agricultural environmental data and agricultural image data around the data collection route in the agricultural non-point source pollution management area based on the data collection route of the data collection route map; An agricultural data classification module is used to extract a target image based on the acquired agricultural image data, perform feature recognition on the target image, determine the agricultural type in the target image, and integrate the agricultural image data based on the agricultural type to obtain multiple target sub-datasets; A data transmission module, used to establish a data interaction channel between the agricultural data collection terminal and the remote management platform based on the Internet of Things, and transmit the target sub-data set to the remote management platform based on the data interaction channel; The agricultural data classification module is specifically: Acquire agricultural image data collected by the agricultural data collection terminal, perform frame processing on the agricultural image data, and obtain processing results; Extracting agricultural type feature points from each frame of the image in the processing result, and extracting target image data of agricultural type feature points appearing in each frame of the image after obtaining the feature point extraction result; Performing image recognition on the target image data, determining the feature type of the agricultural type feature point in the target image data, and determining the agricultural type name of the feature type; Integrate the target image data based on the agricultural type name to generate an agricultural image dataset of the agricultural type; Acquire coordinate data carried by the agricultural image dataset based on the agricultural image dataset of the agricultural type, and generate a sub-dataset for each area in the agricultural type; The classification prevention and control unit includes: A data storage module, used to classify and store the acquired sub-data sets of each area into a prevention and control database based on a data interaction channel; A data display module is used to construct a two-dimensional plane map consistent with the agricultural non-point source pollution management area, display the acquired agricultural image data in real time, and mark the agricultural type corresponding to each area on the two-dimensional plane map; The point marking module is used to obtain the agricultural non-point source pollution identification results corresponding to each area and mark the pollution points of the identified agricultural non-point source pollution; The classification prevention and control unit also includes: The non-point source pollution identification module is used to obtain the sub-dataset of each area, extract the target image data in the sub-dataset, and identify the agricultural non-point source pollution characteristics in the agricultural type of each area based on the agricultural type of the area; A non-point source pollution data acquisition module, used to determine the type of agricultural non-point source pollution based on the identified agricultural non-point source pollution characteristics and determine non-point source pollution data; The prevention and control scheme management module is used to construct the prevention and control management scheme corresponding to the agricultural type based on the agricultural type, and at the same time, obtain the feedback data of the prevention and control management feedback module to optimize the prevention and control management scheme; The prevention and control scheme matching module is used to match the corresponding prevention and control management scheme based on the surface source pollution data; The prevention and control management feedback module is used to update the execution progress of the prevention and control management plan in real time, evaluate the prevention and control management results of the prevention and control management plan, and generate feedback data based on the evaluation results; The classification prevention and control unit also includes: A thread establishment module, used to establish an information communication thread between the classification prevention and control management unit and the agricultural data collection terminal; A request receiving module, used for receiving in real time a data upload request sent by the agricultural data collection terminal; wherein the data upload request includes the data amount of the data to be uploaded; A data splitting module is used to set a data unit amount according to the data amount, split the data to be uploaded according to the data unit amount, and set the remaining data less than one data unit amount after splitting according to the data unit amount as a data set to obtain multiple split data sets; wherein the data unit amount is obtained by the following formula: Among them, C d Indicates the unit quantity of data; C dp It represents the average value of the amount of data collected per unit time by the agricultural data collection terminal, and the value range of the unit time is 3s-5s; C dmax and C dmin They represent the maximum and minimum data collected by the agricultural data collection terminal in a unit of time; C i represents the amount of data collected by the agricultural data collection terminal at the i-th unit time in the unit time that has passed; n represents the number of unit time that has passed; e represents a constant; C0 represents a preset data volume reference value; A data packet acquisition module, used to package the plurality of split data sets respectively to obtain data packets corresponding to the data sets one by one; The data uploading module is used to upload the plurality of data packets in sequence to the classification prevention and control management unit through the information communication site.

2. The intelligent classification prevention and control system for agricultural non-point source pollution management according to claim 1, characterized in that: The thread establishment module includes: The first setting module is used to set the number of information communication threads between the classification prevention and control unit and the agricultural data collection terminal; wherein the number of information communication threads is obtained by the following method: Extracting the average value of the amount of data collected per unit time by the agricultural data collection terminal; Compare the average value of the amount of data collected per unit time by the agricultural data collection terminal with a preset data amount threshold; When the average value of the amount of data collected per unit time by the agricultural data collection terminal does not exceed a preset data amount threshold, the number of the information communication threads is obtained according to a first quantity model; When the average amount of data collected per unit time by the agricultural data collection terminal exceeds a preset data amount threshold, the number of the information communication threads is obtained according to a second quantity model; The structures of the first quantity model and the second quantity model are as follows: Among them, M 01 and M 02 represents the number of information communication threads obtained by the first quantity model and the second quantity model respectively, and M 01 and M 02 All are rounded up; C dp It represents the average value of the amount of data collected per unit time by the agricultural data collection terminal, and the value range of the unit time is 3s-5s; C dmax and C dmin They represent the maximum and minimum data collected by the agricultural data collection terminal in a unit of time; C y Indicates the preset data volume threshold; M0 indicates the number of thread benchmarks, and the value of M0 is 2; The second setting module is used to set the maximum transmission data volume per unit time of each information communication thread for each information communication thread; wherein the maximum transmission data volume per unit time of the information communication thread is obtained by the following formula: Among them, C t Indicates the maximum amount of data transmitted per unit time of the information communication thread; M 0i＝1.2 The number M of information communication threads obtained by the first quantity model and the second quantity model 01 and M 02 ; A thread establishment execution module is used to establish an information communication thread between the classification prevention and control unit and the agricultural data collection terminal according to the number of information communication threads between the classification prevention and control unit and the agricultural data collection terminal and the maximum transmission data volume per unit time of each information communication thread.

3. The intelligent classification prevention and control system for agricultural non-point source pollution management according to claim 1, characterized in that: The prevention and control plan management module is specifically: Construct a prevention and control management plan corresponding to the agricultural type based on the agricultural type. The specific measures of the prevention and control management plan include source control measures, pollution control process measures and terminal control measures; Analyze the prevention and control management plan and determine the priority of the prevention and control management plan; Corresponding non-point source pollution management personnel are assigned based on the specific measures of the prevention and control management plan, and the terminal where the non-point source pollution management personnel is located executes the specific measures of the prevention and control management plan based on the priority of the prevention and control management plan.

4. The intelligent classification prevention and control system for agricultural non-point source pollution management according to claim 3, characterized in that: The prevention and control management feedback module is specifically: Non-point source pollution management personnel upload feedback data of the prevention and control management plan in real time based on their terminals, and determine the progress of non-point source pollution control in the agricultural non-point source pollution management area based on the feedback data; Determine the control indicators of the prevention and control management plan for the agricultural non-point source pollution management area based on the non-point source pollution control progress results; Conduct regular follow-up monitoring of the non-point source pollution coordinate points in the agricultural non-point source pollution management area to determine whether the non-point source pollution at the coordinate points has been completely controlled, supplemented by manual treatment; The manual handling measures are fed back and the prevention and control management plan is optimized and updated based on the manual handling measures.

5. An intelligent classification prevention and control method for agricultural non-point source pollution management, based on the intelligent classification prevention and control system for agricultural non-point source pollution management as claimed in any one of claims 1 to 4, characterized in that: The following steps are involved: Step 1: The agricultural data collection terminal collects image data in the agricultural non-point source pollution management area, pre-processes the image data of the area, and classifies the data based on the agricultural production type; Step 2: Match the classified prevention and control plans based on the obtained classified data. After matching the corresponding prevention and control plans, the prevention and control personnel will implement the prevention and control plans and provide feedback on the prevention and control results and progress of the prevention and control measures; Step 3: The remote prevention and control management terminal displays in real time the image data collected by the agricultural data collection terminal and the image data of the prevention and control personnel executing the prevention and control plan; Step 4: The remote prevention and control management terminal displays a map of the agricultural non-point source pollution management area in real time and marks the coordinate points where non-point source pollution exists until the non-point source pollution at the coordinate point is eliminated and the coordinate point of the non-point source pollution is deleted.

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