Groundwater monitoring system and method based on big data analysis
Through groundwater monitoring methods based on big data analysis, combined with water flow and pollution information, the groundwater pollution source is accurately positioned, which solves the problem of inaccurate positioning of pollution sources in the existing technology, and improves the accurate positioning and management efficiency of polluting enterprises.
Patent Information
- Application Number
- CN202411979382.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-31
- Publication Date
- 2025-05-23
- Estimated Expiration
- 2044-12-31
AI Technical Summary
The existing groundwater monitoring system is difficult to achieve accurate positioning when locating groundwater pollution sources, mainly due to the dual interference of water flow and pollutant diffusion.
The groundwater monitoring method based on big data analysis is adopted to obtain water flow information, pollution information and enterprise pollution situation data, and perform data calibration and pollutant emission matching analysis, so as to accurately locate pollutants.
It improves the accuracy of the positioning of polluting enterprises, avoids the impact of water flow and pollutant diffusion on the positioning of pollution sources, and ensures the accurate positioning and management of pollution sources.
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Figure CN119398352B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of groundwater monitoring, and more specifically to a groundwater monitoring system and method based on big data analysis. Background Art
[0002] Groundwater monitoring is the process of long-term observation of groundwater level, water quality and other data in order to timely grasp the dynamic changes of groundwater and carry out long-term protection of groundwater. The significance of groundwater monitoring is that it can provide decision-making basis for water resource managers, rationally plan and allocate groundwater resources, and ensure sustainable use. At the same time, groundwater monitoring can also timely detect and monitor groundwater pollution, including various chemical substances, heavy metals and organic pollutants, so as to evaluate the water quality of groundwater and take corresponding measures to prevent the spread of pollution and protect the groundwater environment. When monitoring groundwater, a groundwater monitoring system is needed; the existing groundwater monitoring system can usually only monitor the pollution of groundwater during groundwater monitoring. Due to the dual interference of water flow and pollutant diffusion, it is difficult for existing technologies to accurately locate the source of groundwater pollution. Most of the existing technologies have the above problems;
[0003] In order to solve the problems raised by this background technology, the present application designs a groundwater monitoring system and method based on big data analysis. Summary of the invention
[0004] In order to address the deficiencies in the prior art mentioned in the background technology, the present application proposes a groundwater monitoring system and method based on big data analysis.
[0005] To achieve the above objectives, the present application provides the following technical solutions: In the first aspect, the present application provides a groundwater monitoring method based on big data analysis, which includes the following specific steps:
[0006] S1. Obtain water flow information and water pollution information at the corresponding position of groundwater runoff, and obtain pollution data and location data of enterprises in the groundwater runoff area;
[0007] S2. The positioning area is first calibrated based on the water flow information and water pollution diffusion information, and the preliminary range of the pollution discharge location is located based on the calibrated positioning area;
[0008] S3. Obtain pollution data and location data of the enterprise at the preliminary location to conduct pollutant emission matching analysis;
[0009] S4. Locate polluting enterprises based on preliminary positioning results and pollutant emission matching analysis results;
[0010] S5. Transmit the located polluting enterprise information to the water pollution management department.
[0011] As a preferred technical solution for the groundwater monitoring method based on big data analysis, the specific contents of obtaining water flow information and water pollution information at the corresponding position of groundwater runoff, and obtaining enterprise pollution data and location data in the groundwater runoff area are as follows:
[0012] S11. Evenly arrange water flow sensors at corresponding positions of groundwater runoff, and obtain flow velocity information at corresponding positions and information on various pollutant contents in the water body through corresponding sensing components in the water flow sensors, wherein the water flow velocity information is obtained through the flow velocity sensor, and the information on various pollutant contents in the water body is obtained through the pollutant sensor;
[0013] S12. Retrieve the information on pollutants discharged by enterprises and the location information of each enterprise relative to the water body runoff area stored in the pollution management system, wherein the information on pollutants discharged by enterprises is the information on pollutants generated by the products registered by the enterprises, and the pollutant information includes the content information of various pollutants;
[0014] S13. Construct a three-dimensional model of the groundwater runoff area, map the collected flow velocity information of each corresponding position, the content information of various pollutants in the water body, the information on the pollutants discharged by the enterprise production, and the location information of each enterprise relative to the water body runoff area on the three-dimensional model for display.
[0015] As a preferred technical solution for the groundwater monitoring method based on big data analysis, the integrated water flow information and water pollution diffusion information are first used to calibrate the positioning area, and the preliminary range of the pollution discharge location is located according to the calibrated positioning area, including the following specific steps:
[0016] S21. Obtain pollutant content data at each location corresponding to groundwater runoff, and substitute the pollutant content at each monitoring location into the pollutant hazard value calculation formula to calculate the pollutant hazard value, wherein the pollutant hazard value calculation formula is: , where N is the type of pollutant, xi is the content of the i-th pollutant at the corresponding position, ximax is the maximum value of the safe range of the content of the i-th pollutant, ximin is the minimum value of the safe range of the content of the i-th pollutant, and Q[] means: if the number in the brackets is less than or equal to 0, then , if the number in the brackets is greater than 0, then ;
[0017] S22, obtaining pollutant hazard values of all positions, obtaining positions corresponding to the three largest pollutant hazard values, and setting the closed area formed by the circumscribed circles of the triangles corresponding to the three positions as the first pollutant positioning area;
[0018] S23, obtaining the water flow direction and water flow velocity data at each position in the first pollutant positioning area, and obtaining the diffusion coefficient of the still water surface at normal temperature corresponding to each pollutant, and obtaining the center position of the first pollutant positioning area.
[0019] As a preferred technical solution for the groundwater monitoring method based on big data analysis, the integrated water flow information and water pollution diffusion information are first used to calibrate the positioning area, and the preliminary range of the pollution discharge location is located according to the calibrated positioning area, which also includes the following specific steps:
[0020] S24, obtaining the water flow direction and water flow velocity data of each position in the first positioning area of the pollutant, and obtaining the diffusion coefficient of the static water surface at room temperature corresponding to each pollutant, and substituting them into the diffusion value calculation formula of each position to calculate the diffusion value of each position, wherein the diffusion value calculation formula from the x position to the y position is: , where Hx is the water flow velocity from x to y, cosθ is the cosine of the angle between the line segment from x to y and the water flow direction, vm is the standard value of water flow velocity, which is the average value of the water flow, and Hm is the standard value of the diffusion coefficient of the pollutant, which is the average value of the diffusion coefficient of all pollutants. In this way, the diffusion value of the pollutant in each position direction under the influence of water flow is calculated;
[0021] S25, obtain the pollutant hazard values of all monitoring positions in the first pollutant positioning area and the diffusion values from other positions to the corresponding positions, and substitute them into the calculation formula of the pollutant hazard standard value of the corresponding position to calculate the pollutant hazard standard value of the corresponding position, wherein the calculation formula of the pollutant hazard standard value from the x position to the y position is: , where exp() is the power of the natural constant e, obtain the vector from the x position to the y position, the vector is the direction from the x position to the y position, obtain the distance from the x position to the y position, obtain the difference between the pollutant hazard values at the x position and the y position, obtain the vector with the length of the pollutant hazard standard value from the x position to the y position along the vector between xy, set it as the standard vector of the xy vector, and set the end point of the vector as the standard end point of the xy vector. Here is an example of how to obtain the vector with the length of the pollutant hazard standard value from the x position to the y position along the vector between xy;
[0022] S26. Obtain all standard vectors pointing to the same monitoring position in the first positioning area of the pollutant, subtract the original corresponding vector from the standard vector to obtain a vector set whose starting point is the monitoring position, add the vectors in the vector set whose starting point is the monitoring position to obtain the final vector, set the end point as the standard point of the corresponding monitoring position, obtain the standard points of all adjacent monitoring positions and connect them through line segments to obtain a closed figure, obtain the center position of the circumscribed circle corresponding to the closed figure, take the center position as the center, set the distance as the radius to obtain the preliminary range of the pollution emission position, and obtain the enterprise information within the preliminary range of the pollution emission position.
[0023] As a preferred technical solution for the groundwater monitoring method based on big data analysis, the acquisition of pollution data of enterprises at preliminary locations and location data for pollutant emission matching analysis includes the following specific contents:
[0024] Obtain the pollution data of enterprises within the preliminary scope of the pollution emission location and the data on the types of pollutants in the corresponding water bodies, and import the pollution data of enterprises and the data on the types of pollutants in the corresponding water bodies into the pollutant matching value calculation formula to calculate the pollutant matching value of the corresponding enterprise. The pollutant matching value calculation formula for the sth enterprise is: , where S() is the number of elements in the set, Bs is the set of pollutant types of the s-th enterprise, and Bd is the set of pollutant types that exceed the standard in the water body.
[0025] As a preferred technical solution for the groundwater monitoring method based on big data analysis, the location of polluting enterprises based on the preliminary location results and the pollutant emission matching analysis results includes the following specific contents:
[0026] Obtain the calculated pollutant matching value of the enterprise, and at the same time obtain the distance from the enterprise to the center of the preliminary range of the pollution emission location and import it into the calculation formula of the determined value of the polluting enterprise to calculate the determined value of the polluting enterprise. Among them, the calculation formula for the determined value of the zth polluting enterprise is: , where Pz is the pollutant matching value of the z-th enterprise, Lz is the distance from the z-th enterprise to the center of the preliminary range of the pollution emission location, Lm is the radius of the preliminary range of the pollution emission location, and the enterprise corresponding to the largest polluting enterprise determination value is set as the polluting enterprise.
[0027] In the second aspect, the present application provides a groundwater monitoring system based on big data analysis, which is implemented based on the above-mentioned groundwater monitoring method based on big data analysis, and specifically includes a data acquisition module, a preliminary positioning module, a matching analysis module, a polluting enterprise positioning module and an information transmission module;
[0028] The data acquisition module is used to acquire water flow information and water pollution information at the corresponding position of groundwater runoff, and simultaneously acquire pollution data and location data of enterprises in the groundwater runoff area;
[0029] The preliminary positioning module is used to calibrate the positioning area based on the water flow information and the water pollution diffusion information, and locate the preliminary range of the pollution discharge location according to the calibrated positioning area;
[0030] The matching analysis module is used to obtain pollution situation data and location data of the enterprise at the preliminary location to perform pollutant emission matching analysis;
[0031] The polluting enterprise positioning module is used to locate the polluting enterprise based on the preliminary positioning result and the pollutant emission matching analysis result;
[0032] The information transmission module is used to transmit the located polluting enterprise information to the water pollution management department.
[0033] In a third aspect, the present application provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;
[0034] The processor executes the above-mentioned groundwater monitoring method based on big data analysis by calling the computer program stored in the memory.
[0035] In a fourth aspect, the present application provides a computer-readable storage medium storing instructions, which, when executed on a computer, enables the computer to execute the groundwater monitoring method based on big data analysis as described above.
[0036] Compared with the prior art, the beneficial effects of this application are:
[0037] This application first calibrates the positioning area based on the water flow information and water pollution diffusion information, locates the preliminary range of the pollution emission location according to the calibrated positioning area, obtains the pollution situation data and location data of the enterprise at the preliminary positioning location for pollutant emission matching analysis, locates the polluting enterprise based on the preliminary positioning results and the pollutant emission matching analysis results, transmits the located polluting enterprise information to the water pollution management department, and accurately locates the polluting enterprise based on the water pollution situation, the location of the enterprise and the matching situation;
[0038] This application also creatively proposes a method for locating pollution sources under the dual influence of water flow and pollutant diffusion, avoiding the influence of the dual interference of water flow and pollutant diffusion on the location of groundwater pollution sources, and further improving the accuracy of locating polluting enterprises. BRIEF DESCRIPTION OF THE DRAWINGS
[0039] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings;
[0040] Figure 1 This is a schematic diagram of the overall process of the groundwater monitoring method based on big data analysis in this application;
[0041] Figure 2 This is a schematic diagram of step S1 of the groundwater monitoring method based on big data analysis in this application;
[0042] Figure 3 This is a schematic diagram of step S2 of the groundwater monitoring method based on big data analysis in this application;
[0043] Figure 4 This is a schematic diagram of the overall framework of the groundwater monitoring system based on big data analysis in this application;
[0044] Figure 5 This is a schematic diagram of the first location area of pollutants in this application. DETAILED DESCRIPTION
[0045] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present application and its application or use.
[0046] Example 1
[0047] In order to solve the technical problems raised in the background technology, the present application provides a preferred embodiment: Figure 1-Figure 3 As shown, the groundwater monitoring method based on big data analysis includes the following specific steps:
[0048] S1. Obtain water flow information and water pollution information at the corresponding position of groundwater runoff, and obtain pollution data and location data of enterprises in the groundwater runoff area;
[0049] In this embodiment, the specific contents of obtaining water flow information and water pollution information at the corresponding position of groundwater runoff and obtaining pollution data and location data of enterprises in the groundwater runoff area are as follows:
[0050] S11. Evenly arrange water flow sensors at corresponding positions of groundwater runoff, and obtain flow velocity information at corresponding positions and information on various pollutant contents in the water body through corresponding sensing components in the water flow sensors, wherein the water flow velocity information is obtained through the flow velocity sensor, and the information on various pollutant contents in the water body is obtained through the pollutant sensor;
[0051] S12. Retrieve the information on pollutants discharged by enterprises and the location information of each enterprise relative to the water body runoff area stored in the pollution management system, wherein the information on pollutants discharged by enterprises is the information on pollutants generated by the products registered by the enterprises, and the pollutant information includes the content information of various pollutants;
[0052] S13, constructing a three-dimensional model of the groundwater runoff area, mapping the collected flow velocity information of each corresponding position and the content information of various pollutants in the water body, the information on the pollutants discharged by the enterprise production and the location information of each enterprise relative to the water body runoff area on the three-dimensional model for display;
[0053] S2. The positioning area is first calibrated based on the water flow information and water pollution diffusion information, and the preliminary range of the pollution discharge location is located based on the calibrated positioning area;
[0054] In this embodiment, the positioning area is first calibrated based on the water flow information and the water pollution diffusion information, and the preliminary range of the pollution discharge location is located according to the calibrated positioning area, including the following specific steps:
[0055] S21. Obtain pollutant content data at each location corresponding to groundwater runoff, and substitute the pollutant content at each monitoring location into the pollutant hazard value calculation formula to calculate the pollutant hazard value, wherein the pollutant hazard value calculation formula is: , where N is the type of pollutant, xi is the content of the i-th pollutant at the corresponding position, ximax is the maximum value of the safe range of the content of the i-th pollutant, ximin is the minimum value of the safe range of the content of the i-th pollutant, and Q[] means: if the number in the brackets is less than or equal to 0, then , if the number in the brackets is greater than 0, then ; For example, if the data in the brackets is -0.2, then since -0.2 is less than 0, we take 0;
[0056] S22, obtaining pollutant hazard values of all positions, obtaining positions corresponding to the three largest pollutant hazard values, and setting the closed area formed by the circumscribed circles of the triangles corresponding to the three positions as the first pollutant positioning area;
[0057] S23, obtaining the water flow direction and water flow velocity data at each position in the first pollutant positioning area, and obtaining the diffusion coefficient of the still water surface at room temperature corresponding to each pollutant, and obtaining the center position of the first pollutant positioning area;
[0058] S24, obtaining the water flow direction and water flow velocity data of each position in the first positioning area of the pollutant, and obtaining the diffusion coefficient of the static water surface at room temperature corresponding to each pollutant, and substituting them into the diffusion value calculation formula of each position to calculate the diffusion value of each position, wherein the diffusion value calculation formula from the x position to the y position is: , where Hx is the water flow velocity from x to y, Hx is the diffusion coefficient of the pollutant, cosθ is the cosine of the angle between the line segment from x to y and the water flow direction, vm is the standard value of the water flow velocity, which is the average value of the water flow, and Hm is the standard value of the diffusion coefficient of the pollutant, which is the average value of the diffusion coefficient of all pollutants; in this way, the diffusion value of the pollutant in each position direction under the influence of the water flow is calculated;
[0059] S25, obtain the pollutant hazard values of all monitoring positions in the first pollutant positioning area and the diffusion values from other positions to the corresponding positions, and substitute them into the calculation formula of the pollutant hazard standard value of the corresponding position to calculate the pollutant hazard standard value of the corresponding position, wherein the calculation formula of the pollutant hazard standard value from the x position to the y position is: , where exp() is the power of the natural constant e, such as Figure 5 As shown, obtain the vector between the x position and the y position, the vector is the x position pointing to the y position, obtain the distance between the x position and the y position, obtain the difference between the pollutant hazard values of the x position and the y position, obtain the vector with the x position as the starting point and the vector between xy, the length of the pollutant hazard standard value from the x position to the y position, set it as the standard vector of the xy vector, and set the end point of the vector as the standard end point of the xy vector. Here is an example of how to obtain the vector with the x position as the starting point and the vector between xy, the length of the pollutant hazard standard value from the x position to the y position. For example, the pollutant hazard value of the x position is 30, the pollutant hazard value of the y position is 20, and the distance from the x position to the y position is 1km. If the calculated pollutant hazard standard value from the x position to the y position is 22, then 22 is the position with a ratio of 0.2 between 20 and 30, so the standard end point of the xy vector is the position between the x position and the y position, which is 0.8km away from the x position and 0.2km away from the y position.
[0060] S26, obtaining all standard vectors pointing to the same monitoring location in the first pollutant positioning area, subtracting the original corresponding vector from the standard vector to obtain a vector set starting from the monitoring location, adding the vectors in the vector set starting from the monitoring location to obtain a final vector, setting the end point as the standard point of the corresponding monitoring location, obtaining the standard points of all adjacent monitoring locations and connecting them through line segments to obtain a closed figure, obtaining the center position of the circumscribed circle corresponding to the closed figure, taking the center position as the center and setting the distance as the radius to obtain a preliminary range of the pollution emission location, and obtaining the enterprise information within the preliminary range of the pollution emission location;
[0061] S3. Obtain pollution data and location data of the enterprise at the preliminary location to conduct pollutant emission matching analysis;
[0062] In this embodiment, obtaining the pollution situation data and location data of the enterprise at the preliminary location for pollutant emission matching analysis includes the following specific contents:
[0063] Obtain the pollution data of enterprises within the preliminary scope of the pollution emission location and the data on the types of pollutants in the corresponding water bodies, and import the pollution data of enterprises and the data on the types of pollutants in the corresponding water bodies into the pollutant matching value calculation formula to calculate the pollutant matching value of the corresponding enterprise. The pollutant matching value calculation formula for the sth enterprise is: , where S() is the number of elements in the set, Bs is the set of pollutant types of the s-th enterprise, and Bd is the set of pollutant types exceeding the standard in the water body;
[0064] S4. Locate polluting enterprises based on preliminary positioning results and pollutant emission matching analysis results;
[0065] In this embodiment, the location of polluting enterprises based on the preliminary location results and the pollutant emission matching analysis results includes the following specific contents:
[0066] Obtain the calculated pollutant matching value of the enterprise, and at the same time obtain the distance from the enterprise to the center of the preliminary range of the pollution emission location and import it into the calculation formula of the determined value of the polluting enterprise to calculate the determined value of the polluting enterprise. Among them, the calculation formula for the determined value of the zth polluting enterprise is: , where Pz is the pollutant matching value of the z-th enterprise, Lz is the distance from the z-th enterprise to the center of the preliminary range of the pollution emission location, Lm is the radius of the preliminary range of the pollution emission location, and the enterprise corresponding to the largest polluting enterprise determination value is set as the polluting enterprise;
[0067] S5. Transmit the located polluting enterprise information to the water pollution management department.
[0068] The advantages of this embodiment over the prior art are as follows: the positioning area is first calibrated based on the comprehensive water flow information and water pollution diffusion information, the preliminary range of the pollution emission location is located according to the calibrated positioning area, the pollution situation data and location data of the enterprise at the preliminary positioning location are obtained to perform pollutant emission matching analysis, the polluting enterprise is located based on the preliminary positioning results and the pollutant emission matching analysis results, the polluting enterprise information obtained by positioning is transmitted to the water pollution management department, the polluting enterprise is accurately located based on the water pollution situation, the location of the enterprise and the matching situation, and a pollution source positioning method under the dual influence of water flow and pollutant diffusion is proposed, which avoids the influence of the dual interference of water flow and pollutant diffusion on the positioning of groundwater pollution sources, and further improves the accuracy of locating polluting enterprises.
[0069] Example 2
[0070] like Figure 4 As shown, the groundwater monitoring system based on big data analysis is implemented based on the above-mentioned groundwater monitoring method based on big data analysis, which specifically includes a data acquisition module, a preliminary positioning module, a matching analysis module, a polluting enterprise positioning module and an information transmission module;
[0071] Among them, the data acquisition module is used to obtain water flow information and water pollution information at the corresponding position of groundwater runoff, and at the same time obtain the pollution situation data and location data of enterprises in the groundwater runoff area; the preliminary positioning module is used to calibrate the positioning area first based on the comprehensive water flow information and water pollution diffusion information, and locate the preliminary range of the pollution emission location according to the calibrated positioning area; the matching analysis module is used to obtain the pollution situation data and location data of the enterprise at the preliminary positioning location to perform pollutant emission matching analysis; the polluting enterprise positioning module is used to locate the polluting enterprise based on the preliminary positioning results and the pollutant emission matching analysis results; the information transmission module is used to transmit the polluting enterprise information obtained by positioning to the water pollution management department, and can also include a control module for controlling the operation of the data acquisition module, the preliminary positioning module, the matching analysis module, the polluting enterprise positioning module and the information transmission module. Figure 4 The direction of the arrow in the figure indicates the direction of data transmission.
[0072] Example 3
[0073] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;
[0074] The processor executes the above-mentioned groundwater monitoring method based on big data analysis by calling the computer program stored in the memory.
[0075] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors and one or more memories, wherein the memory stores at least one computer program, and the computer program is loaded and executed by the processor to implement the groundwater monitoring method based on big data analysis provided by the above method embodiment. The electronic device may also include other components for implementing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input and output interface to input and output data. This embodiment will not be described in detail here.
[0076] Example 4
[0077] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;
[0078] When the computer program runs on a computer device, the computer device executes the above-mentioned groundwater monitoring method based on big data analysis.
[0079] For example, the computer readable storage medium can be a read-only memory, a random access memory, a read-only CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
[0080] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. Computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.
[0081] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus.
[0082] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of application involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned application concept. For example, the above features are replaced with (but not limited to) technical features with similar functions applied in the present application.
Claims
1. A groundwater monitoring method based on big data analysis, characterized in that: It includes the following specific steps: S1. Obtain water flow information and water pollution information at the corresponding position of groundwater runoff, and obtain pollution data and location data of enterprises in the groundwater runoff area; S2. The positioning area is first calibrated based on the water flow information and water pollution diffusion information, and the preliminary range of the pollution discharge location is located based on the calibrated positioning area; The specific steps of S2 are as follows: S21, substituting the pollutant content corresponding to each monitoring location into the pollutant hazard value calculation formula to calculate the pollutant hazard value; S22, obtaining positions corresponding to the three largest pollutant hazard values, and setting the closed area formed by the circumscribed circles of the triangles corresponding to the three positions as the first pollutant positioning area; S23, obtaining the water flow direction and water flow velocity data at each position in the first pollutant positioning area, and obtaining the diffusion coefficient of the still water surface at room temperature corresponding to each pollutant, and obtaining the center position of the first pollutant positioning area; S24, obtaining the water flow direction and water flow velocity data of each position in the first positioning area of the pollutant, and obtaining the diffusion coefficient of the static water surface at normal temperature corresponding to each pollutant, and substituting them into the diffusion value calculation formula of each position to calculate the diffusion value of each position; S25, obtaining the pollutant hazard values of all monitoring locations in the first pollutant positioning area and the diffusion values from other locations to the corresponding locations, and substituting them into the calculation formula of the pollutant hazard standard value of the corresponding location to calculate the pollutant hazard standard value of the corresponding location; S3. Obtain pollution data and location data of the enterprise at the preliminary location to conduct pollutant emission matching analysis; S4. Locate polluting enterprises based on preliminary positioning results and pollutant emission matching analysis results; S5. Transmit the located polluting enterprise information to the water pollution management department.
2. The groundwater monitoring method based on big data analysis according to claim 1, characterized in that: The specific contents of obtaining water flow information and water pollution information at the corresponding position of groundwater runoff and obtaining pollution data and location data of enterprises in the groundwater runoff area are as follows: S11. Evenly arrange water flow sensors at corresponding positions of groundwater runoff, and obtain flow velocity information at corresponding positions and information on the content of various pollutants in the water body through corresponding sensing components in the water flow sensors; S12. Retrieve the information on pollutants discharged by enterprises and the location information of each enterprise relative to the water body runoff area stored in the pollution management system; S13. Construct a three-dimensional model of the groundwater runoff area, map the collected flow velocity information of each corresponding position, the content information of various pollutants in the water body, the information on the pollutants discharged by the enterprise production, and the location information of each enterprise relative to the water body runoff area on the three-dimensional model for display.
3. The groundwater monitoring method based on big data analysis according to claim 1, characterized in that: The calculation formula for the pollutant hazard value is: , where N is the type of pollutant, xi is the content of the i-th pollutant at the corresponding position, ximax is the maximum value of the safe range of the content of the i-th pollutant, ximin is the minimum value of the safe range of the content of the i-th pollutant, and Q[] means: if the number in the brackets is less than or equal to 0, then , if the number in the brackets is greater than 0, then .
4. The groundwater monitoring method based on big data analysis according to claim 3, characterized in that: The calculation formula of the diffusion value from the x position to the y position is: , where Hx is the water flow velocity from x to y, Hx is the diffusion coefficient of the pollutant, cosθ is the cosine of the angle between the line segment from x to y and the water flow direction, vm is the standard value of the water flow velocity, which is the average value of the water flow, and Hm is the standard value of the diffusion coefficient of the pollutant, which is the average value of the diffusion coefficient of all pollutants; in this way, the diffusion value of the pollutant in each position direction under the influence of the water flow is calculated; the calculation formula for the hazardous standard value of the pollutant from x to y is: , where exp() is the power of the natural constant e, obtain the vector from the x position to the y position, the vector is the direction from the x position to the y position, obtain the distance from the x position to the y position, obtain the difference between the pollutant hazard values at the x position and the y position, obtain the vector with the length of the pollutant hazard standard value from the x position to the y position along the vector between xy starting from the x position, set it as the standard vector of the xy vector, and set the end point of the vector as the standard end point of the xy vector; The S2 also includes: obtaining all standard vectors pointing to the same monitoring position within the first positioning area of the pollutant, subtracting the standard vector from the original corresponding vector to obtain a vector set whose starting point is the monitoring position, adding the vectors in the vector set whose starting point is the monitoring position to obtain a final vector, setting the end point as the standard point of the corresponding monitoring position, obtaining the standard points of all adjacent monitoring positions and connecting them through line segments to obtain a closed figure, obtaining the center position of the circumscribed circle corresponding to the closed figure, taking the center position as the center and setting the distance as the radius to obtain a preliminary range of the pollution emission position, and obtaining enterprise information within the preliminary range of the pollution emission position.
5. The groundwater monitoring method based on big data analysis according to claim 4, characterized in that: The acquisition of pollution data and location data of the enterprise at the preliminary location for pollutant emission matching analysis includes the following specific contents: Obtain the pollution data of enterprises within the preliminary scope of the pollution emission location and the data on the types of pollutants in the corresponding water bodies, and import the pollution data of enterprises and the data on the types of pollutants in the corresponding water bodies into the pollutant matching value calculation formula to calculate the pollutant matching value of the corresponding enterprise. The pollutant matching value calculation formula for the sth enterprise is: , where S() is the number of elements in the set, Bs is the set of pollutant types of the s-th enterprise, and Bd is the set of pollutant types that exceed the standard in the water body.
6. The groundwater monitoring method based on big data analysis according to claim 5, characterized in that: The positioning of polluting enterprises based on the preliminary positioning results and the pollutant emission matching analysis results includes the following specific contents: Obtain the calculated pollutant matching value of the enterprise, and at the same time obtain the distance from the enterprise to the center of the preliminary range of the pollution emission location and import it into the calculation formula of the determined value of the polluting enterprise to calculate the determined value of the polluting enterprise. Among them, the calculation formula for the determined value of the zth polluting enterprise is: , where Pz is the pollutant matching value of the z-th enterprise, Lz is the distance from the z-th enterprise to the center of the preliminary range of the pollution emission location, Lm is the radius of the preliminary range of the pollution emission location, and the enterprise corresponding to the largest polluting enterprise determination value is set as the polluting enterprise.
7. A groundwater monitoring system based on big data analysis, which is implemented based on the groundwater monitoring method based on big data analysis as claimed in any one of claims 1 to 6, characterized in that: It specifically includes a data acquisition module, a preliminary positioning module, a matching analysis module, a polluting enterprise positioning module and an information transmission module; The data acquisition module is used to obtain water flow information and water pollution information at the corresponding position of groundwater runoff, and simultaneously obtain pollution data and location data of enterprises in the groundwater runoff area; The preliminary positioning module is used to calibrate the positioning area based on the water flow information and the water pollution diffusion information, and locate the preliminary range of the pollution discharge location according to the calibrated positioning area; The matching analysis module is used to obtain pollution situation data and location data of the enterprise at the preliminary location to perform pollutant emission matching analysis; The polluting enterprise positioning module is used to locate the polluting enterprise based on the preliminary positioning result and the pollutant emission matching analysis result; The information transmission module is used to transmit the located polluting enterprise information to the water pollution management department.
Citation Information
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