Solid waste pollution prevention and treatment system

Abstract

The invention provides a solid waste pollution prevention and treatment system, and relates to the technical field of pollution prevention. The solid waste pollution prevention and treatment system comprises a pollution prevention and treatment system, and the pollution prevention and treatment system comprises a radar monitoring unit, a monitoring center control end, a three-dimensional building unit, a monitoring analysis unit, an acquisition unit, an early warning prompt unit and a judgment treatment unit. By establishing monitoring areas, forming boundaries in the multiple monitoring areas and among the multiple monitoring areas according to radars, tracking diffusion leakage of a target area based on image shooting, and cooperatively predicting, judging and deciding through the two, the monitoring method has the advantages of wide monitoring range and high instantaneity, and can improve the efficiency of diffusion leakage intrusion in the period of diffusion leakage intrusion between solid waste filling areas. The method effectively gives out an alarm, timely gives out prompt information for carrying out prevention and treatment actions, solves a problem that the conventional prevention and treatment cannot achieve cross-region prediction and analysis, and improves the intelligent level of pollution monitoring in a multi-pollution region.

Description

Technical Field

[0001] This invention relates to the field of pollution prevention and control technology, specifically to a solid waste pollution prevention and treatment system. Background Technology

[0002] Solid waste refers to solid and semi-solid waste materials generated by humans in production, construction, daily life, and other activities that cannot be utilized at a certain time and place and are discarded, thus polluting the environment. It includes household waste, industrial waste, and construction waste.

[0003] For example, an existing patent (CN114985037A) describes a solid waste pollution prevention and treatment system and process that reduces air pollution caused by the separation of reinforced concrete blocks, lowers the possibility of groundwater pollution, and allows for the reuse of steel bars and concrete particles, saving resources. It is known that solid waste pollution includes, but is not limited to, construction waste. In specific landfill areas, solid waste can be washed into water bodies through runoff processes caused by precipitation or snowmelt, leading to organic pollution from adjacent landfills of different types, eutrophication of water bodies, or other forms of toxic and harmful pollution. Traditional prevention and control methods rely on external predictive analysis and early warning systems across regions, but their monitoring effectiveness in target areas is unsatisfactory. They cannot promptly detect discrete targets, and the time from inspection and discovery to verification, notification, and decision-making is too long, easily delaying the opportunity to intercept diffusion and leakage. Summary of the Invention

[0004] (a) Technical problems to be solved To address the shortcomings of existing technologies, this invention provides a solid waste pollution prevention and treatment system that solves the problems of traditional prevention and treatment methods that rely on external resources to achieve cross-regional predictive analysis and early warning, have unsatisfactory monitoring effects on target areas, cannot detect discrete targets in a timely manner, and have excessively long time from inspection and discovery to verification, notification, and decision-making, which can easily delay the opportunity to intercept diffusion and leakage.

[0005] (II) Technical Solution To achieve the above objectives, the present invention is implemented through the following technical solution: a solid waste pollution prevention and treatment system, comprising a pollution prevention system, wherein the pollution prevention system includes a radar monitoring unit, a monitoring center control terminal, a 3D modeling unit, a monitoring and analysis unit, a data acquisition unit, an early warning unit, and a judgment and processing unit, wherein the monitoring center control terminal includes a monitoring center display screen, control keys, a data acquisition and storage unit, a collaborative judgment module, a data acquisition comparison unit, and a data acquisition and processing unit; The radar monitoring unit includes a synchronization module, a terrain range distribution module, an intrusion early warning module, and a regional positioning module. The 3D construction unit includes a 3D modeling module, a 3D terrain creation module, a zonal 3D creation module, and a data update and storage module. The acquisition unit includes an image camera acquisition module, a target tracking module, a data conversion module, and a data storage module. The monitoring and analysis unit includes a boundary monitoring module, a linkage early warning establishment module, an intrusion prediction analysis module, and an intelligent decision analysis module.

[0006] Preferably, the radar monitoring unit includes multiple radars and radar monitoring sensors, and the multiple radars and radar monitoring sensors are electrically connected to each other. The acquisition unit includes multiple network cameras, and the multiple radar monitoring sensors and network cameras are all electrically connected to the control terminal of the monitoring center.

[0007] Preferably, the three-dimensional construction unit uses remote satellite remote sensing data transmission technology to collect regional data and generate a three-dimensional terrain model. The three-dimensional terrain model includes a regional division range, in which the regional range is divided according to the type of solid waste. The boundaries between each region are formed by radar, and boundary intrusion warning is performed based on image camera data.

[0008] Preferably, the radar monitoring unit includes monitoring zone division monitoring and monitoring zone intrusion risk monitoring, and the acquisition unit performs diffusion leakage source tracking analysis based on image camera acquisition and target tracking unit.

[0009] A preferred method for operating a solid waste pollution prevention and treatment system: S1. Region Generation and Partitioning A three-dimensional terrain model of the solid waste landfill area is provided based on satellite data. The area is divided into the current solid waste type area, intermediate isolation area and intrusion area boundary based on the location range of multiple radar monitoring units. At the same time, a three-dimensional monitoring model of the solid waste landfill area is generated based on satellite data and area division data using a three-dimensional building unit. S2. Monitoring and Predictive Analysis Real-time data synchronization is achieved based on the synchronization modules within the radar monitoring units in each region. According to the boundary line division, the three-dimensional monitoring model built by the three-dimensional construction unit is based on the dynamic environmental data generated by the radar monitoring unit and the acquisition unit. Based on the multi-dimensional fusion analysis and prediction data of the regional positioning modules of multiple radar monitoring units, the image data acquired by the image camera, and the target tracking unit, the boundary line distance prediction analysis is performed with the preset area range. S3. Monitoring and Alarm After predictive analysis based on multi-dimensional and multi-temporal information, the monitoring and analysis unit performs linked predictive analysis on the diffusion and leakage data of monitoring boundary information, determines the diffusion value of the regional boundary, makes a decision based on intrusion prediction analysis and intelligent decision analysis, and issues early warning and alarm prompts by the judgment processing unit and the early warning prompt unit.

[0010] Preferably, the collaborative determination module performs coexistence analysis and determination based on radar boundary monitoring and regional diffusion leakage, and automatically blocks early warning trigger prompts from external obstructions.

[0011] Preferably, the monitoring center display screen is connected to the control keys, wherein the control keys include multiple control buttons and an operation keyboard.

[0012] Preferably, the monitoring center display screen provides a visual data display of the radar monitoring unit and the data acquisition unit based on the data acquisition and processing unit.

[0013] (III) Beneficial Effects This invention provides a solid waste pollution prevention and treatment system. It has the following beneficial effects: 1. This invention provides a solid waste pollution prevention and treatment system. By establishing monitoring areas, multiple monitoring areas and the boundaries between them are formed by radar. Based on image photography, the system tracks the spread and leakage of target areas. The system uses both methods to predict and make decisions. Its monitoring has the advantages of wide range and high immediacy. It can effectively issue warnings and timely prompts for prevention and treatment actions when spread and leakage occur between solid waste landfill areas. At the same time, it uses graph neural networks to fuse data based on a three-dimensional model to construct a spatial relationship network graph. Multi-dimensional features are input into a fully connected neural network to obtain multi-dimensional predictions of the regional range. This overcomes the problem that traditional prevention and treatment methods cannot achieve cross-regional prediction and analysis, improves the intelligence level of pollution monitoring in multi-polluted areas, collects information on pollutant spread and leakage in a timely manner, grasps changes in the situation in a timely manner, and improves the risk control capability of pollution prevention and control. Attached Figure Description

[0014] Figure 1 This is a schematic diagram of the system structure of the present invention; Figure 2 This is a schematic diagram of the structure of the monitoring center control terminal of the present invention; Figure 3 This is a schematic diagram of the radar monitoring unit of the present invention; Figure 4 This is a schematic diagram of the structure of the three-dimensional assembly unit of the present invention; Figure 5 This is a schematic diagram of the acquisition unit of the present invention; Figure 6 This is a schematic diagram of the monitoring and analysis unit of the present invention.

[0015] The system comprises: 1. Pollution prevention and control system; 2. Radar monitoring unit; 3. Monitoring center control terminal; 4. 3D modeling unit; 5. Monitoring and analysis unit; 6. Data acquisition unit; 7. Early warning unit; 8. Judgment and processing unit; 9. Monitoring center display screen; 10. Control keys; 11. Data acquisition and storage unit; 12. Collaborative judgment module; 13. Data acquisition and comparison unit; 14. Data acquisition and processing unit; 15. Synchronization module; 16. Terrain range distribution; 17. Intrusion early warning module; 18. Area positioning module; 19. Image and video acquisition; 20. Target tracking unit; 21. Data conversion unit; 22. Data storage module; 23. 3D modeling module; 24. 3D terrain creation; 25. 3D zoning creation; 26. Data update and storage; 27. Boundary monitoring module; 28. Linked early warning establishment; 29. ​​Intrusion prediction and analysis; 30. Intelligent decision analysis. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] Example: like Figure 1-6 As shown, this embodiment of the invention provides a solid waste pollution prevention and treatment system, including a pollution prevention system 1. The pollution prevention system 1 includes a radar monitoring unit 2, a monitoring center control terminal 3, a 3D modeling unit 4, a monitoring and analysis unit 5, a data acquisition unit 6, an early warning unit 7, and a judgment and processing unit 8. The monitoring center control terminal 3 includes a monitoring center display screen 9, control keys 10, a data acquisition and storage unit 11, a collaborative judgment module 12, a data acquisition comparison unit 13, and a data acquisition and processing unit 14. The collaborative judgment module 12 performs coexistence analysis and judgment based on radar boundary monitoring and regional diffusion leakage, and automatically triggers early warning prompts by blocking external obstructions. The monitoring center display screen 9 is connected to the control keys 10, which include multiple control buttons and an operation keyboard. The monitoring center display screen 9 displays visualized data from the radar monitoring unit 2 and the data acquisition unit 6 based on the data acquisition and processing unit 14. The radar monitoring unit 2 includes a synchronization module 15, a terrain range distribution module 16, an intrusion early warning module 17, and a regional positioning module 18. The 3D construction unit 4 includes a 3D modeling module 23, a 3D terrain creation module 24, a zonal 3D creation module 25, and a data update and storage module 26. The acquisition unit 6 includes an image acquisition module 19, a target tracking unit 20, a data conversion unit 21, and a data storage module 22. The image acquisition module 19 acquires surface remote sensing images based on a high-definition camera or multiple sensors such as multi-channel multispectral, thermal imaging, RGB, and GPS. At the same time, the target tracking unit 20 tracks the source points of abnormal diffusion and leakage within the images. The monitoring and analysis unit 5 includes a boundary monitoring module 27, a linkage early warning establishment module 28, an intrusion prediction analysis module 29, and an intelligent decision analysis module 30.

[0018] An operation method for a solid waste pollution prevention and treatment system: S1. Region Generation and Partitioning A three-dimensional terrain model of the solid waste landfill area is provided based on satellite data. The area is divided into the current solid waste type area, intermediate isolation area and intrusion area boundary based on the location range of multiple radar monitoring units 2. At the same time, a three-dimensional monitoring model of the solid waste landfill area is generated based on satellite data and area division data by the three-dimensional building unit 4. Within the 3D modeling unit 4, regional data is collected and a 3D terrain model is generated using remote satellite remote sensing data transmission technology. This model includes regional divisions, with each region defined according to its solid waste type. Radar lines define the boundaries between regions, and image camera data is used for boundary intrusion warnings. Landfill areas for domestic waste, industrial waste, and construction waste are set as single zones, each with its own independent label. Based on satellite data, the system outputs geospatial boundaries between the total solid waste landfill area, domestic waste and industrial waste, domestic waste and construction waste, and industrial waste and construction waste, thus establishing basic boundary lines. These boundaries merge adjacent areas using distance-based merging and define the intrusion zone's extent.

[0019] S2. Monitoring and Predictive Analysis Real-time data synchronization is performed based on the synchronization module 15 in the radar monitoring unit 2 in each region. According to the boundary line division, the three-dimensional monitoring model built by the three-dimensional building unit 4 is based on the dynamic environmental data generated by the radar monitoring unit 2 and the acquisition unit 6. Based on the image data collected by the area positioning module 18 and image camera acquisition 19 of multiple radar monitoring units 2 and the multi-dimensional fusion analysis and prediction data of the target tracking unit 20, the boundary line distance prediction analysis is performed with the preset area range. The radar monitoring unit 2 includes multiple radars and radar monitoring sensors, with electrical connections between them. The acquisition unit 6 includes multiple network cameras, all of which are electrically connected to the monitoring center control terminal 3. The radar monitoring unit 2 includes monitoring zone division and monitoring of intrusion risk within the monitoring area. The acquisition unit 6 performs source tracing analysis of diffusion and leakage based on image acquisition 19 and target tracking unit 20. Maximum boundary values ​​for each area are set based on the radar range, and boundary information and abnormal diffusion and leakage data flow values ​​are monitored in real time by the radar monitoring sensors. This data is then converted and displayed visually at the monitoring center control terminal 3. The monitoring zone division map and the location of the intrusion boundary define the areas as safe, non-intrusive, and intrusive. A safe state indicates no diffusion or leakage; a non-intrusive state indicates the start of diffusion and leakage but before reaching the intrusion boundary; and an intrusive state indicates crossing the intrusion boundary.

[0020] S3. Monitoring and Alarm After predicting and analyzing multi-dimensional and multi-temporal information, the monitoring and analysis unit 5 performs linkage prediction and analysis on the diffusion and leakage data of monitoring boundary information, determines the diffusion value of the area boundary, makes a decision based on intrusion prediction analysis 29 and intelligent decision analysis 30, and issues an early warning alarm by the judgment and processing unit 8 and the early warning unit 7.

[0021] Based on the synchronous update state of the 3D model, the spatial relationship network graph is constructed by fusing the 3D data structure through a graph neural network. At this time, a dynamic graph neural network 3D model can be completed in real time. Radar data, image and camera data, and external interference data are input into the fully connected neural network. Multivariate predictive analysis is performed based on the fully connected neural network, thereby overcoming the problem that traditional prevention and control methods cannot achieve cross-regional predictive analysis. This improves the intelligent level of pollution monitoring in multi-polluted areas, timely collects information on pollutant diffusion and leakage, keeps track of changes, and improves the risk control capability of pollution prevention and control.

[0022] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A solid waste pollution prevention and treatment system, comprising a pollution prevention system (1), characterized in that: The pollution prevention and control system (1) includes a radar monitoring unit (2), a monitoring center control terminal (3), a three-dimensional construction unit (4), a monitoring and analysis unit (5), an acquisition unit (6), an early warning unit (7), and a judgment and processing unit (8). The monitoring center control terminal (3) includes a monitoring center display screen (9), control keys (10), an acquisition and data storage unit (11), a collaborative judgment module (12), an acquisition and data comparison unit (13), and a data acquisition and processing unit (14). The radar monitoring unit (2) includes a synchronization module (15), terrain range distribution (16), intrusion early warning module (17) and area positioning module (18). The three-dimensional construction unit (4) includes a three-dimensional modeling module (23), three-dimensional terrain creation (24), three-dimensional partition creation (25) and data update storage (26). The acquisition unit (6) includes image acquisition (19), target tracking unit (20), data conversion unit (21) and data storage module (22). The monitoring and analysis unit (5) includes a boundary monitoring module (27), linkage early warning establishment (28), intrusion prediction analysis (29) and intelligent decision analysis (30).

2. The solid waste pollution prevention and treatment system according to claim 1, characterized in that: The radar monitoring unit (2) includes multiple radars and radar monitoring sensors, and the multiple radars and radar monitoring sensors are electrically connected. The acquisition unit (6) includes multiple network cameras, and the multiple radar monitoring sensors and network cameras are electrically connected to the monitoring center control terminal (3).

3. The solid waste pollution prevention and treatment system according to claim 1, characterized in that: The three-dimensional construction unit (4) collects regional data and generates a three-dimensional terrain model through remote satellite remote sensing data transmission technology. The three-dimensional terrain model includes the area division range, and the area division range is divided according to the solid waste type. The boundary lines between each area are formed by radar and the boundary intrusion warning is based on image camera data.

4. The solid waste pollution prevention and treatment system according to claim 1, characterized in that: The radar monitoring unit (2) includes monitoring area division monitoring and monitoring area intrusion risk monitoring. The acquisition unit (6) performs diffusion leakage source tracking analysis based on image acquisition (19) and target tracking unit (20).

5. A solid waste pollution prevention and treatment system according to claim 1, characterized in that, Including an operating method for a solid waste pollution prevention and treatment system: S1. Region Generation and Partitioning Based on satellite data, a three-dimensional terrain model of the solid waste landfill area is provided. Based on the location range of multiple radar monitoring units (2), the current solid waste type area range, intermediate isolation area and intrusion area boundary are divided. At the same time, based on the three-dimensional building unit (4), a three-dimensional monitoring model of the solid waste landfill area is generated according to satellite data and area division data. S2. Monitoring and Predictive Analysis Based on the synchronization module (15) in the radar monitoring unit (2) in each region, real-time data synchronization is performed. According to the boundary line division, the three-dimensional monitoring model built by the three-dimensional building unit (4) is based on the dynamic environmental data generated by the radar monitoring unit (2) and the acquisition unit (6). Based on the image data collected by the regional positioning module (18) and image camera acquisition (19) of multiple radar monitoring units (2) and the multi-dimensional fusion analysis prediction data of the target tracking unit (20) and the preset area range, the boundary line distance prediction analysis is performed. S3. Monitoring and Alarm After predicting and analyzing multi-dimensional and multi-temporal information, the monitoring analysis unit (5) performs linkage prediction analysis on the diffusion and leakage data of monitoring boundary information, judges the diffusion value of the area boundary, makes a decision based on intrusion prediction analysis (29) and intelligent decision analysis (30), and the judgment processing unit (8) and the early warning prompting unit (7) issue early warning prompts and alarms.

6. A solid waste pollution prevention and treatment system according to claim 1, characterized in that: The collaborative determination module (12) performs coexistence analysis and determination based on radar boundary monitoring and regional diffusion leakage, and automatically blocks the early warning trigger prompts of external obstructions.

7. A solid waste pollution prevention and treatment system according to claim 1, characterized in that: The monitoring center display screen (9) is connected to the control key (10), wherein the control key (10) includes multiple control buttons and an operation keyboard.

8. A solid waste pollution prevention and treatment system according to claim 1, characterized in that: The monitoring center display screen (9) displays visual data of the radar monitoring unit (2) and the acquisition unit (6) based on the data acquisition and processing unit (14).

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