A pollution source tracing control system and method based on multi-source data fusion

Abstract

The present invention discloses a pollution source tracing control system and method based on multi-source data fusion, which belongs to the field of data analysis technology. The present invention detects pollution of the regional atmospheric environment through the atmospheric monitoring stations in the monitoring area, and transmits the detection data in real time through the monitoring network; the monitoring center integrates the data of each detection station, marks the detected pollution abnormal area through the cloud point satellite map, and performs fusion processing on the marked area; combines the cloud point satellite map processing results with the actual space data detection results, performs small-scale pollution propagation analysis on the gaseous pollutants, analyzes the distribution of each pollutant and the degree of propagation evolution, and obtains the propagation path of the pollutants; locates the emission source by comparing and analyzing the real-time pollution proportion of the pollution source on the propagation path; dynamically demonstrates the real-time gaseous pollution emission path and real-time data changes through the visualization port, and outputs feedback to the located pollution emission source.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to a pollution source tracing control system and method based on multi-source data fusion. Background Art

[0002] Air pollution source control can achieve refined management of air pollution by scientifically identifying and accurately locating pollution sources, combined with effective monitoring, evaluation and governance measures, thereby effectively reducing pollutant emissions, improving air quality and promoting sustainable development;

[0003] At present, there are multiple modes for air pollution control, including satellite monitoring, radar monitoring, regional sensor monitoring or manual inspection; however, all of the above methods have major defects. Satellite monitoring and radar monitoring are large-area and wide-range monitoring, and their monitoring results cannot be finely divided for regional detection, and cannot support analysis of local areas and pollution sources; regional sensors and manual inspections have large local limitations, cannot trace the pollution sources backwards, and cannot support in-depth autonomous analysis. Therefore, all of the above monitoring modes have major defects. Summary of the invention

[0004] The purpose of the present invention is to provide a pollution source tracing control system and method based on multi-source data fusion to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] A pollution source tracing control method based on multi-source data fusion, the method comprising the following steps:

[0007] S100, performing pollution detection on the regional atmospheric environment through the atmospheric monitoring stations in the monitoring area, and transmitting the detection data in real time through the monitoring network;

[0008] S200, the monitoring center integrates the data of each detection site, marks the abnormal pollution areas detected through cloud point satellite maps, and performs fusion processing on the marked areas;

[0009] S300: Combine the cloud point satellite map processing results with the actual space data detection results to conduct a small-scale pollution propagation analysis of gaseous pollutants to understand the distribution and propagation evolution of each pollutant and obtain the propagation path of the pollutants; locate the emission source by comparing and analyzing the real-time pollution proportion of the pollution source on the propagation path;

[0010] S400, through the visualization port, dynamically demonstrates the real-time gaseous pollution emission path and real-time data changes, and outputs feedback on the location of pollution emission sources.

[0011] The specific steps of S100 for detecting pollution of the regional atmospheric environment through the atmospheric monitoring stations in the monitoring area and transmitting the detection data in real time through the monitoring network are as follows:

[0012] S101, monitoring the status of each atmospheric monitoring station in the monitoring area through the transmission network covered in the monitoring area; performing a data access connection on each detection station to perform a station operation test to determine that the station is operating normally; if an abnormal station is determined through the data access connection, an alarm is issued and maintenance personnel are called for maintenance;

[0013] S102. Utilize each air monitoring station to detect air quality data in the monitoring area, and obtain the air pollution index in the corresponding area in real time; utilize the transmission network to transmit the detection data to the monitoring center; the air quality data detection is to detect the gaseous pollutants existing in the atmosphere in real time; the pollution index is the concentration index of the corresponding detected gaseous pollutants.

[0014] The S200 monitoring center integrates the data of each detection site, marks the abnormal pollution detection area through cloud point satellite map, and performs fusion processing on the marked area as follows:

[0015] S201, the monitoring center integrates and processes the data transmitted by each detection site, and constructs a real-time regional air pollution index set by numbering each site and associating the corresponding data; the numbering and corresponding data association is to assign a number to each detection site, and use the corresponding site number as the upper association index, and the corresponding detection data as the lower index data; locate the detection area through satellite maps, and determine the position of each detection site in the area; extract the determined regional satellite map, and number each detection site and mark the detection data;

[0016] S202, perform interference removal processing on the processed satellite image of the monitoring area to obtain a cloud point satellite image of the corresponding monitoring area; the interference removal processing is to remove the pixel points in the original satellite image and retain the cloud points representing the azimuth and spatial position; according to the preset detection threshold, the detection data of each detection site is judged, and the area with pollutants above the threshold is marked as abnormal, and the abnormal area in the monitoring area is obtained by fusing the abnormal area; the fusion processing is to judge the pollution index detected by each site by setting a pollution index threshold, merge the regional range of the abnormal area, and finally obtain the abnormal area in the corresponding monitoring area.

[0017] The S300 combines the cloud point satellite map processing results with the actual space data detection results to perform small-scale pollution propagation analysis on gaseous pollutants to determine the distribution and propagation evolution of each pollutant and obtain the propagation path of the pollutants; by comparing and analyzing the real-time pollution proportion of the pollution source on the propagation path, the specific steps for locating the emission source are as follows:

[0018] S301. According to the distribution position of each monitoring station in the abnormal area, the comprehensive pollution index of the monitoring area is analyzed in combination with the pollution index of the gaseous pollutants detected by the monitoring stations, and the comprehensive pollution index of the area detected by each station is sorted by descending order sorting method; the calculation formula of the comprehensive pollution index of gaseous pollutants at each detection station is: Where P i is the comprehensive pollution index of the corresponding monitoring station area; i is the number of each monitoring station; C i,j The concentration of each gaseous pollutant in the corresponding area detected by each monitoring station; i, j are the categories of gaseous pollutants in the corresponding station; j is the number of categories of gaseous pollutants; S i is the detection area corresponding to each detection site; according to the sorting results, by introducing the comparison parameter P r , if the comprehensive pollution index P between adjacent detection stations i -P i-1 ≤P r , then the monitoring area corresponding to the adjacent monitoring station is judged to be the same class pollution area; otherwise, it is a different class pollution area, then the area corresponding to the high index is the high pollution class area, and the area corresponding to the low index is the low pollution class area; by tracing back from the corresponding monitoring station of the adjacent low class pollution area to the corresponding monitoring station of the high class pollution area, the reference path of pollution propagation of the monitoring station is obtained;

[0019] S302, analyze the diffusion distribution of gaseous pollutants in the corresponding areas of each monitoring station; analyze the real-time diffusion degree of pollutants in each monitoring area, and the calculation formula is: Where D i is the real-time diffusion degree of pollution in the corresponding area of ​​each monitoring station; k is the von Karman constant; H i The lowest spatial height corresponding to the abnormal pollution index detected by each monitoring station; combined with the real-time diffusion degree of pollutants in each monitoring area, the diffusion distribution of pollutants in each area is analyzed, and the calculation formula is: where F i (x, y, z are the distribution of pollutants in each monitoring area; (x, y, z) are the corresponding spatial coordinates; γ x , γ y , γ z is the diffusion standard deviation on the x, y, and z axes of space, and the corresponding calculation formula is where g x , g y , g z are the diffusion coefficients of pollutants in the corresponding monitoring area on the x, y, and z axes respectively; t i is the pollutant anomaly detection cycle of the monitoring stations in each monitoring area;

[0020] S303, according to the pollutant diffusion distribution results of each monitoring area, by selecting the MAX[F i (x, y, z)] is the pollutant diffusion center point in the corresponding area, and the pollutant diffusion center point set of each monitoring area in the abnormal area is constructed; the real-time propagation route of pollutants in the corresponding abnormal area is obtained by connecting the pollutant diffusion center points of the corresponding areas of adjacent detection stations; the real-time propagation route of the current pollutant is compared and analyzed with the pollution propagation reference path of the monitoring station to obtain the hidden pollution emission sources in the detection area of ​​each monitoring station in the corresponding pollution propagation path; the pollution emission degree of each invisible pollution emission source is analyzed, and the calculation formula is: Among them, M i,n is the proportion of pollution emissions from each emission source in each monitoring area; C i,n,j Detect the concentration of each gaseous pollutant emitted by each emission source in the corresponding area for each monitoring station; select MAXM for the analysis results of the proportion of each emission source in each monitoring area. i,n The corresponding emission source is the main emission source of the corresponding monitoring area; according to the main emission source selection results in each monitoring area, by comparing the real-time concentration emission values ​​of gas pollutants of each main emission source, the main emission source corresponding to the maximum real-time pollutant concentration emission value is the maximum pollution emission source in the current abnormal area, and it is located.

[0021] The specific steps of the S400 for dynamically demonstrating the real-time gaseous pollution emission path and real-time data changes through the visualization port and providing feedback output for locating the pollution emission source are as follows:

[0022] S401, performing dynamic data demonstration of the propagation path of air pollutants in the abnormal area and each monitoring station on the corresponding path through a visualization port;

[0023] S402. Mark each pollution emission source on the path, locate and output the main emission source according to the analysis results, and feed back the output data to the management window for prompting.

[0024] A pollution source tracing control system based on multi-source data fusion, the system includes a monitoring site data acquisition module, a graph processing module, a pollution propagation location analysis module and a comprehensive feedback module;

[0025] The monitoring site data acquisition module detects pollution of the regional atmospheric environment through the atmospheric monitoring sites in the monitoring area, and transmits the detection data in real time through the monitoring network; the map processing module integrates the data of each detection site, marks the detected pollution abnormal areas through cloud point satellite maps, and fuses the marked areas; the pollution propagation positioning analysis module combines the cloud point satellite map processing results with the actual space data detection results, conducts small-scale pollution propagation analysis of gaseous pollutants, the distribution of each pollutant and the degree of propagation evolution, and obtains the propagation path of pollutants; locates the emission source by comparing and analyzing the real-time pollution share of the pollution source on the propagation path; the comprehensive feedback module dynamically demonstrates the real-time gaseous pollution emission path and real-time data changes through the visualization port, and outputs feedback on the located pollution emission source.

[0026] The monitoring site data acquisition module includes a monitoring site detection unit and a regional detection data acquisition unit; the monitoring site detection unit monitors the status of each atmospheric monitoring site in the area through the transmission network covered in the monitoring area; performs data access connection on each detection site to perform site operation detection to determine whether the site is operating normally; the regional detection data acquisition unit uses each atmospheric monitoring site to detect atmospheric quality data in the monitoring area, and obtains the atmospheric pollution index in the corresponding area in real time; and uses the transmission network to transmit the detection data to the monitoring center.

[0027] The map processing module includes a satellite map extraction unit and an abnormal area fusion unit; the satellite map extraction unit integrates and processes the data transmitted by each detection site, and constructs a real-time regional air pollution index set by numbering each site and associating the corresponding data; locates the detection area through satellite maps, and determines the position of each detection site in the area; extracts the determined regional satellite map, and numbers each detection site and marks the detection data; the abnormal area fusion unit removes interference from the processed satellite map of the monitoring area to obtain the cloud point satellite map of the corresponding monitoring area; judges the detection data of each detection site according to a preset detection threshold, marks the area with pollutants above the threshold as abnormal, and obtains the abnormal area in the monitoring area by fusing the abnormal area.

[0028] The pollution propagation positioning analysis module includes a regional comprehensive pollution analysis unit, a regional pollution distribution analysis unit and a pollution source positioning unit; the regional comprehensive pollution analysis unit analyzes the comprehensive pollution index of its monitoring area according to the distribution position of each monitoring station in the abnormal area, combined with the pollution index of the gaseous pollutants detected by it, and uses the reduced order sorting method to sort the comprehensive pollution index of the area detected by each station; according to the sorting result, by introducing a comparison parameter, if the absolute value of the difference in the comprehensive pollution index between adjacent detection stations is less than or equal to the comparison parameter, then the monitoring area corresponding to the adjacent monitoring station is judged to be a pollution area of ​​the same class; otherwise, it is a pollution area of ​​different classes, and the area corresponding to the high index is a high pollution class area, and the area corresponding to the low index is a low pollution class area; by reverse tracing from the corresponding monitoring station of the adjacent low-class pollution area to the corresponding monitoring station of the high-class pollution area, the pollution propagation reference path of the monitoring station is obtained; the regional pollution distribution analysis unit performs gaseous pollutant diffusion distribution analysis on the area corresponding to each monitoring station; analyzes the real-time diffusion degree of pollutants in each monitoring area, combined with the pollution of each monitoring area The real-time diffusion degree of pollutants is analyzed to analyze the diffusion distribution of pollutants in each area; the pollution source positioning unit constructs a set of pollutant diffusion center points of each monitoring area in the abnormal area by selecting the distribution point corresponding to the maximum value in each monitoring area as the pollutant diffusion center point in the corresponding area according to the pollutant diffusion distribution results of each monitoring area; the real-time propagation route of pollutants in the corresponding abnormal area is obtained by connecting the pollutant diffusion center points of the corresponding areas of adjacent detection stations; the real-time propagation route of the current pollutant is compared with the pollution propagation reference path of the monitoring station to obtain the hidden pollution emission sources in the detection area of ​​each monitoring station in the corresponding pollution propagation path; the pollution emission degree of each hidden pollution emission source is analyzed; according to the analysis results of the proportion of each emission source in each monitoring area, the emission source corresponding to the maximum value is selected as the main emission source of the corresponding monitoring area; according to the selection results of the main emission sources in each monitoring area, by comparing the real-time concentration emission values ​​of gaseous pollutants of each main emission source, the main emission source corresponding to the maximum value of the real-time pollutant concentration emission is the maximum pollution emission source in the current abnormal area, and it is located.

[0029] The comprehensive feedback module includes a data visualization unit and a pollution feedback unit; the data visualization unit uses a visualization port to demonstrate dynamic data of the propagation path of atmospheric pollutants in the abnormal area and each monitoring station on the corresponding path; the pollution feedback unit marks each pollution emission source on the path, locates and outputs the main emission source based on the analysis results, and feeds back the output data to the management window for prompting.

[0030] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention combines multi-module units and actual monitoring sites to realize real-time monitoring and reverse tracing of atmospheric pollution in the target area; the present invention uses satellite maps to divide and fuse the target area into abnormal areas, thereby realizing the precise determination of the detection area for targeted analysis; the regions are divided into classes by analyzing the differences in pollution indexes of adjacent monitoring areas, thereby constructing a reference pollution site path; the diffusion center point in each area is determined by analyzing the real-time diffusion and distribution of pollutants in each area, and a pollution transmission path is constructed based on the center point; the reference path and the actual transmission path are combined to reversely trace the pollution source of the abnormal area, and by analyzing the pollution proportion of each emission source, the main emission source of the abnormal area is located and output; the present invention integrates monitoring, tracing, analysis, control and scheduling, which can effectively help local environmental management personnel to timely grasp the dynamic changes in regional environmental air quality, quickly analyze the causes of pollution and locate pollution emission sources, and ensure the control of local air. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0032] Figure 1 It is a structural schematic diagram of a pollution source tracing and control system based on multi-source data fusion of the present invention. DETAILED DESCRIPTION

[0033] 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.

[0034] See also Figure 1 , the present invention provides a technical solution:

[0035] A pollution source tracing control method based on multi-source data fusion, the method comprising the following steps:

[0036] S100, performing pollution detection on the regional atmospheric environment through the atmospheric monitoring stations in the monitoring area, and transmitting the detection data in real time through the monitoring network;

[0037] S200, the monitoring center integrates the data of each detection site, marks the abnormal pollution areas detected through cloud point satellite maps, and performs fusion processing on the marked areas;

[0038] S300: Combine the cloud point satellite map processing results with the actual space data detection results to conduct a small-scale pollution propagation analysis of gaseous pollutants to understand the distribution and propagation evolution of each pollutant and obtain the propagation path of the pollutants; locate the emission source by comparing and analyzing the real-time pollution proportion of the pollution source on the propagation path;

[0039] S400, through the visualization port, dynamically demonstrates the real-time gaseous pollution emission path and real-time data changes, and outputs feedback on the location of pollution emission sources.

[0040] The specific steps of S100 for detecting pollution of the regional atmospheric environment through the atmospheric monitoring stations in the monitoring area and transmitting the detection data in real time through the monitoring network are as follows:

[0041] S101, monitoring the status of each atmospheric monitoring station in the monitoring area through the transmission network covered in the monitoring area; performing data access connection on each detection station to perform station operation detection to determine that the station is operating normally;

[0042] S102, using each air monitoring station to detect air quality data in the monitoring area, and obtaining the air pollution index in the corresponding area in real time; and using the transmission network to transmit the detection data to the monitoring center.

[0043] The S200 monitoring center integrates the data of each detection site, marks the abnormal pollution detection area through cloud point satellite map, and performs fusion processing on the marked area as follows:

[0044] S201. The monitoring center integrates and processes the data transmitted by each detection site, and constructs a real-time regional air pollution index set by numbering each site and associating the corresponding data; locates the detection area through satellite maps, and determines the location of each detection site in the area; extracts the determined regional satellite map, and numbers each detection site and marks the detection data;

[0045] S202, perform interference removal on the processed satellite image of the monitoring area to obtain the cloud point satellite image of the corresponding monitoring area; judge the detection data of each detection site according to the preset detection threshold, mark the areas where pollutants above the threshold exist as abnormalities, and obtain the abnormal areas in the monitoring area by fusing the abnormal areas.

[0046] The S300 combines the cloud point satellite map processing results with the actual space data detection results to perform small-scale pollution propagation analysis on gaseous pollutants to determine the distribution and propagation evolution of each pollutant and obtain the propagation path of the pollutants; by comparing and analyzing the real-time pollution proportion of the pollution source on the propagation path, the specific steps for locating the emission source are as follows:

[0047] S301. According to the distribution position of each monitoring station in the abnormal area, the comprehensive pollution index of the monitoring area is analyzed in combination with the pollution index of the gaseous pollutants detected by the monitoring stations, and the comprehensive pollution index of the area detected by each station is sorted by descending order sorting method; the calculation formula of the comprehensive pollution index of gaseous pollutants at each detection station is: Where P i is the comprehensive pollution index of the corresponding monitoring station area; i is the number of each monitoring station; C i,j The concentration of each gaseous pollutant in the corresponding area detected by each monitoring station; i, j are the categories of gaseous pollutants in the corresponding station; j is the number of categories of gaseous pollutants; S i is the detection area corresponding to each detection site; according to the sorting results, by introducing the comparison parameter P r , if the comprehensive pollution index P between adjacent detection stations i -P i-1 ≤P r , then the monitoring area corresponding to the adjacent monitoring station is judged to be the same class pollution area; otherwise, it is a different class pollution area, then the area corresponding to the high index is the high pollution class area, and the area corresponding to the low index is the low pollution class area; by tracing back from the corresponding monitoring station of the adjacent low class pollution area to the corresponding monitoring station of the high class pollution area, the reference path of pollution propagation of the monitoring station is obtained;

[0048] S302, analyze the diffusion distribution of gaseous pollutants in the corresponding areas of each monitoring station; analyze the real-time diffusion degree of pollutants in each monitoring area, and the calculation formula is: Where D i is the real-time diffusion degree of pollution in the corresponding area of ​​each monitoring station; k is the von Karman constant; H i The lowest spatial height corresponding to the abnormal pollution index detected by each monitoring station; combined with the real-time diffusion degree of pollutants in each monitoring area, the diffusion distribution of pollutants in each area is analyzed, and the calculation formula is: where F i (x, y, z) is the distribution of pollutants in each monitoring area; (x, y, z) is the corresponding spatial coordinate; γ x , γ y , γ z is the diffusion standard deviation on the x, y, and z axes of space, and the corresponding calculation formula is where g x , g y , g z are the diffusion coefficients of pollutants in the corresponding monitoring area on the x, y, and z axes respectively; t i is the pollutant anomaly detection cycle of the monitoring stations in each monitoring area;

[0049] S303, according to the pollutant diffusion distribution results of each monitoring area, by selecting the MAX[F i (x, y, z)] is the pollutant diffusion center point in the corresponding area, and the pollutant diffusion center point set of each monitoring area in the abnormal area is constructed; the real-time propagation route of pollutants in the corresponding abnormal area is obtained by connecting the pollutant diffusion center points of the corresponding areas of adjacent detection stations; the real-time propagation route of the current pollutant is compared and analyzed with the pollution propagation reference path of the monitoring station to obtain the hidden pollution emission sources in the detection area of ​​each monitoring station in the corresponding pollution propagation path; the pollution emission degree of each invisible pollution emission source is analyzed, and the calculation formula is: Among them, M i,n is the proportion of pollution emissions from each emission source in each monitoring area; C i,n,j Detect the concentration of each gaseous pollutant emitted by each emission source in the corresponding area for each monitoring station; select MAXM for the analysis results of the proportion of each emission source in each monitoring area. i,n The corresponding emission source is the main emission source of the corresponding monitoring area; according to the main emission source selection results in each monitoring area, by comparing the real-time concentration emission values ​​of gas pollutants of each main emission source, the main emission source corresponding to the maximum real-time pollutant concentration emission value is the maximum pollution emission source in the current abnormal area, and it is located.

[0050] The specific steps of the S400 for dynamically demonstrating the real-time gaseous pollution emission path and real-time data changes through the visualization port and providing feedback output for locating the pollution emission source are as follows:

[0051] S401, performing dynamic data demonstration of the propagation path of air pollutants in the abnormal area and each monitoring station on the corresponding path through a visualization port;

[0052] S402. Mark each pollution emission source on the path, locate and output the main emission source according to the analysis results, and feed back the output data to the management window for prompting.

[0053] A pollution source tracing control system based on multi-source data fusion, the system includes a monitoring site data acquisition module, a graph processing module, a pollution propagation location analysis module and a comprehensive feedback module;

[0054] The monitoring site data acquisition module detects pollution of the regional atmospheric environment through the atmospheric monitoring sites in the monitoring area, and transmits the detection data in real time through the monitoring network; the map processing module integrates the data of each detection site, marks the detected pollution abnormal areas through cloud point satellite maps, and fuses the marked areas; the pollution propagation positioning analysis module combines the cloud point satellite map processing results with the actual space data detection results, conducts small-scale pollution propagation analysis of gaseous pollutants, the distribution of each pollutant and the degree of propagation evolution, and obtains the propagation path of pollutants; locates the emission source by comparing and analyzing the real-time pollution share of the pollution source on the propagation path; the comprehensive feedback module dynamically demonstrates the real-time gaseous pollution emission path and real-time data changes through the visualization port, and outputs feedback on the located pollution emission source.

[0055] The monitoring site data acquisition module includes a monitoring site detection unit and a regional detection data acquisition unit; the monitoring site detection unit monitors the status of each atmospheric monitoring site in the area through the transmission network covered in the monitoring area; performs data access connection on each detection site to perform site operation detection to determine whether the site is operating normally; the regional detection data acquisition unit uses each atmospheric monitoring site to detect atmospheric quality data in the monitoring area, and obtains the atmospheric pollution index in the corresponding area in real time; and uses the transmission network to transmit the detection data to the monitoring center.

[0056] The map processing module includes a satellite map extraction unit and an abnormal area fusion unit; the satellite map extraction unit integrates and processes the data transmitted by each detection site, and constructs a real-time regional air pollution index set by numbering each site and associating the corresponding data; locates the detection area through satellite maps, and determines the position of each detection site in the area; extracts the determined regional satellite map, and numbers each detection site and marks the detection data; the abnormal area fusion unit removes interference from the processed satellite map of the monitoring area to obtain the cloud point satellite map of the corresponding monitoring area; judges the detection data of each detection site according to a preset detection threshold, marks the area with pollutants above the threshold as abnormal, and obtains the abnormal area in the monitoring area by fusing the abnormal area.

[0057] The pollution propagation positioning analysis module includes a regional comprehensive pollution analysis unit, a regional pollution distribution analysis unit and a pollution source positioning unit; the regional comprehensive pollution analysis unit analyzes the comprehensive pollution index of its monitoring area according to the distribution position of each monitoring station in the abnormal area, combined with the pollution index of the gaseous pollutants detected by it, and uses the reduced order sorting method to sort the comprehensive pollution index of the area detected by each station; according to the sorting result, by introducing a comparison parameter, if the absolute value of the difference in the comprehensive pollution index between adjacent detection stations is less than or equal to the comparison parameter, then the monitoring area corresponding to the adjacent monitoring station is judged to be a pollution area of ​​the same class; otherwise, it is a pollution area of ​​different classes, and the area corresponding to the high index is a high pollution class area, and the area corresponding to the low index is a low pollution class area; by reverse tracing from the corresponding monitoring station of the adjacent low-class pollution area to the corresponding monitoring station of the high-class pollution area, the pollution propagation reference path of the monitoring station is obtained; the regional pollution distribution analysis unit performs gaseous pollutant diffusion distribution analysis on the area corresponding to each monitoring station; analyzes the real-time diffusion degree of pollutants in each monitoring area, combined with the pollution of each monitoring area The real-time diffusion degree of pollutants is analyzed to analyze the diffusion distribution of pollutants in each area; the pollution source positioning unit constructs a set of pollutant diffusion center points of each monitoring area in the abnormal area by selecting the distribution point corresponding to the maximum value in each monitoring area as the pollutant diffusion center point in the corresponding area according to the pollutant diffusion distribution results of each monitoring area; the real-time propagation route of pollutants in the corresponding abnormal area is obtained by connecting the pollutant diffusion center points of the corresponding areas of adjacent detection stations; the real-time propagation route of the current pollutant is compared with the pollution propagation reference path of the monitoring station to obtain the hidden pollution emission sources in the detection area of ​​each monitoring station in the corresponding pollution propagation path; the pollution emission degree of each hidden pollution emission source is analyzed; according to the analysis results of the proportion of each emission source in each monitoring area, the emission source corresponding to the maximum value is selected as the main emission source of the corresponding monitoring area; according to the selection results of the main emission sources in each monitoring area, by comparing the real-time concentration emission values ​​of gaseous pollutants of each main emission source, the main emission source corresponding to the maximum value of the real-time pollutant concentration emission is the maximum pollution emission source in the current abnormal area, and it is located.

[0058] The comprehensive feedback module includes a data visualization unit and a pollution feedback unit; the data visualization unit uses a visualization port to perform dynamic data demonstrations on the propagation paths of atmospheric pollutants in the abnormal area and the monitoring stations on the corresponding paths; the pollution feedback unit marks the pollution emission sources on the paths, locates and outputs the main emission sources according to the analysis results, and feeds back the output data to the management window for prompting;

[0059] In the examples:

[0060] A certain existing park needs to control air pollution in its covered area, and its monitoring center is equipped with the pollution source tracing control system based on multi-source data fusion of the present invention; the status of each atmospheric monitoring station in the area is monitored through the transmission network covered in the monitoring area; data access connection is performed on each detection station to perform site operation detection to determine the normal operation of the station; the atmospheric quality data of the monitoring area is detected by each atmospheric monitoring station, and the atmospheric pollution index in the corresponding area is obtained in real time; the detection data is transmitted to the monitoring center by the transmission network; the monitoring center integrates and processes the transmission data of each detection station, and constructs a real-time regional atmospheric pollution index set by numbering each station and associating the corresponding data; the detection area is located through satellite maps, and the position of each detection station in the area is determined; the determined regional satellite map is extracted, and each detection station is numbered and the detection data is marked; the processed satellite map of the monitoring area is de-interfered to obtain the cloud point satellite map of the corresponding monitoring area; according to the preset detection threshold, the detection data of each detection station is judged, and the area with pollutants above the threshold is abnormally marked, and the abnormal area in the monitoring area is obtained by fusing the abnormal area;

[0061] According to the distribution of each monitoring station in the abnormal area, the comprehensive pollution index of the monitoring area is analyzed in combination with the pollution index of the gaseous pollutants detected by it, and the comprehensive pollution index of the area detected by each station is sorted by using the descending order sorting method; the calculation formula of the comprehensive pollution index of gaseous pollutants at each detection station is According to the sorting results, by introducing the comparison parameter P r , if the comprehensive pollution index P between adjacent detection stations i -P i-1 ≤P r , then the monitoring area corresponding to the adjacent monitoring station is judged to be the same class pollution area; otherwise, it is a different class pollution area, then the area corresponding to the high index is the high pollution class area, and the area corresponding to the low index is the low pollution class area; by tracing back from the corresponding monitoring station of the adjacent low-class pollution area to the corresponding monitoring station of the high-class pollution area, the reference path of pollution propagation of the monitoring station is obtained; the diffusion distribution of gaseous pollutants is analyzed for the corresponding area of ​​each monitoring station; the real-time diffusion degree of pollutants in each monitoring area is analyzed, and the calculation formula is: Combined with the real-time diffusion degree of pollutants in each monitoring area, the diffusion distribution of pollutants in each area is analyzed, and the calculation formula is: in, According to the pollutant diffusion distribution results of each monitoring area, by selecting the MAX[F i(x,y,z)] is the pollutant diffusion center point in the corresponding area, and a set of pollutant diffusion center points of each monitoring area in the abnormal area is constructed; the real-time propagation route of pollutants in the corresponding abnormal area is obtained by connecting the pollutant diffusion center points of the corresponding areas of adjacent detection stations; the real-time propagation route of the current pollutant is compared and analyzed with the pollution propagation reference path of the monitoring station to obtain the hidden pollution emission sources in the detection area of ​​each monitoring station in the corresponding pollution propagation path; the pollution emission degree of each hidden pollution emission source is analyzed, and the calculation formula is: Among them, M i,n is the proportion of pollution emissions from each emission source in each monitoring area; C i,n,j Detect the concentration of each gaseous pollutant emitted by each emission source in the corresponding area for each monitoring station; select MAXM for the analysis results of the proportion of each emission source in each monitoring area. i,n The corresponding emission source is the main emission source of the corresponding monitoring area; then according to the selection results of the main emission sources in each monitoring area, by comparing the real-time concentration emission values ​​of gas pollutants of each main emission source, the main emission source corresponding to the maximum value of the real-time pollutant concentration emission is the maximum pollution emission source in the current abnormal area, and it is located;

[0062] The propagation path of atmospheric pollutants in the abnormal area and the corresponding monitoring stations on the path are demonstrated dynamically through the visualization port; each pollution emission source on the path is marked, and the main emission source is located and output according to the analysis results, and the output data is fed back to the management window for prompting.

[0063] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0064] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A pollution source tracing and control method based on multi-source data fusion, characterized by: The method comprises the following steps: S100, performing pollution detection on the regional atmospheric environment through the atmospheric monitoring stations in the monitoring area, and transmitting the detection data in real time through the monitoring network; S200, the monitoring center integrates the data of each detection site, marks the abnormal pollution areas detected through cloud point satellite maps, and performs fusion processing on the marked areas; The S200 is specifically as follows: S201. The monitoring center integrates and processes the data transmitted by each detection site, and constructs a real-time regional air pollution index set by numbering each site and associating the corresponding data; locates the detection area through satellite maps, and determines the location of each detection site in the area; extracts the determined regional satellite map, and numbers each detection site and marks the detection data; S202, performing interference removal processing on the processed satellite map of the monitoring area to obtain a cloud point satellite map of the corresponding monitoring area; judging the detection data of each detection station according to a preset detection threshold, marking abnormal areas where pollutants above the threshold exist, and obtaining abnormal areas in the monitoring area by fusing the abnormal areas; S300: Combine the cloud point satellite map processing results with the actual space data detection results to conduct a small-scale pollution propagation analysis of gaseous pollutants to understand the distribution and propagation evolution of each pollutant and obtain the propagation path of the pollutants; locate the emission source by comparing and analyzing the real-time pollution proportion of the pollution source on the propagation path; The specific steps of S300 are as follows: S301. According to the distribution position of each monitoring station in the abnormal area, the comprehensive pollution index of the monitoring area is analyzed in combination with the pollution index of the gaseous pollutants detected by the monitoring stations, and the comprehensive pollution index of the area detected by each station is sorted by descending order sorting method; the calculation formula of the comprehensive pollution index of gaseous pollutants at each detection station is: Where P i is the comprehensive pollution index of the corresponding monitoring station area; i is the number of each monitoring station; C (i,j) The concentration of each gaseous pollutant in the corresponding area detected by each monitoring station; (i, j) is the category of each gaseous pollutant in the corresponding station; j is the number of categories of gaseous pollutants; S i is the detection area corresponding to each detection site; according to the sorting results, by introducing the comparison parameter P r , if the comprehensive pollution index between adjacent detection stations | P i -P i-1| ≤P r , then the monitoring area corresponding to the adjacent monitoring station is judged to be the same class pollution area; otherwise, it is a different class pollution area, then the area corresponding to the high index is the high pollution class area, and the area corresponding to the low index is the low pollution class area; by tracing back from the corresponding monitoring station of the adjacent low class pollution area to the corresponding monitoring station of the high class pollution area, the reference path of pollution propagation of the monitoring station is obtained; S302, analyze the diffusion distribution of gaseous pollutants in the corresponding areas of each monitoring station; analyze the real-time diffusion degree of pollutants in each monitoring area, and the calculation formula is: Where D i is the real-time diffusion degree of pollution in the corresponding area of ​​each monitoring station; k is the von Karman constant; H i The lowest spatial height corresponding to the abnormal pollution index detected by each monitoring station; combined with the real-time diffusion degree of pollutants in each monitoring area, the diffusion distribution of pollutants in each area is analyzed, and the calculation formula is: where F i (x, y, z) is the distribution of pollutants in each monitoring area; (x, y, z) is the corresponding spatial coordinate; γ x , γ y , γ z is the diffusion standard deviation on the x, y, and z axes of space, and the corresponding calculation formula is where g x , g y , g z are the diffusion coefficients of pollutants in the corresponding monitoring area on the x, y, and z axes respectively; t i is the pollutant anomaly detection cycle of the monitoring stations in each monitoring area; S303, according to the pollutant diffusion distribution results of each monitoring area, by selecting the MAX[F i (x, y, z)] is the pollutant diffusion center point in the corresponding area, and the pollutant diffusion center point set of each monitoring area in the abnormal area is constructed; the real-time propagation route of pollutants in the corresponding abnormal area is obtained by connecting the pollutant diffusion center points of the corresponding areas of adjacent detection stations; the real-time propagation route of the current pollutant is compared and analyzed with the pollution propagation reference path of the monitoring station to obtain the hidden pollution emission sources in the detection area of ​​each monitoring station in the corresponding pollution propagation path; the pollution emission degree of each invisible pollution emission source is analyzed, and the calculation formula is: Among them, M (i,n) is the proportion of pollution emissions from each emission source in each monitoring area; C (i,n,j) Detect the concentration of each gaseous pollutant emitted by each emission source in the corresponding area for each monitoring station; according to the analysis results of the proportion of each emission source in each monitoring area, select MAX[M (i,n) ] The corresponding emission source is the main emission source of the corresponding monitoring area; then according to the main emission source selection results in each monitoring area, by comparing the real-time concentration emission values ​​of gas pollutants of each main emission source, the main emission source corresponding to the maximum value of real-time pollutant concentration emission is the maximum pollution emission source in the current abnormal area, and it is located; S400, through the visualization port, dynamically demonstrates the real-time gaseous pollution emission path and real-time data changes, and outputs feedback on the location of pollution emission sources.

2. According to claim 1, a pollution source tracing control method based on multi-source data fusion is characterized by: The specific steps of S100 for detecting pollution of the regional atmospheric environment through the atmospheric monitoring stations in the monitoring area and transmitting the detection data in real time through the monitoring network are as follows: S101, monitoring the status of each atmospheric monitoring station in the monitoring area through the transmission network covered in the monitoring area; performing data access connection on each detection station to perform station operation detection to determine that the station is operating normally; S102, using each air monitoring station to detect air quality data in the monitoring area, and obtaining the air pollution index in the corresponding area in real time; The detection data is transmitted to the monitoring center using the transmission network.

3. According to claim 2, a pollution source tracing control method based on multi-source data fusion is characterized by: The specific steps of the S400 for dynamically demonstrating the real-time gaseous pollution emission path and real-time data changes through the visualization port and providing feedback output for locating the pollution emission source are as follows: S401, performing dynamic data demonstration of the propagation path of air pollutants in the abnormal area and each monitoring station on the corresponding path through a visualization port; S402. Mark each pollution emission source on the path, locate and output the main emission source according to the analysis results, and feed back the output data to the management window for prompting.

4. A pollution source tracing control system based on multi-source data fusion, applying a pollution source tracing control method based on multi-source data fusion as described in any one of claims 1 to 3, characterized in that: The system includes a monitoring site data acquisition module, a map processing module, a pollution propagation location analysis module and a comprehensive feedback module; The monitoring site data acquisition module detects pollution of the regional atmospheric environment through the atmospheric monitoring sites in the monitoring area, and transmits the detection data in real time through the monitoring network; the map processing module integrates the data of each detection site, marks the detected pollution abnormal areas through cloud point satellite maps, and fuses the marked areas; the pollution propagation positioning analysis module combines the cloud point satellite map processing results with the actual space data detection results, conducts small-scale pollution propagation analysis of gaseous pollutants, the distribution of each pollutant and the degree of propagation evolution, and obtains the propagation path of pollutants; locates the emission source by comparing and analyzing the real-time pollution share of the pollution source on the propagation path; the comprehensive feedback module dynamically demonstrates the real-time gaseous pollution emission path and real-time data changes through the visualization port, and outputs feedback on the located pollution emission source.

5. According to claim 4, a pollution source tracing control system based on multi-source data fusion is characterized in that: The monitoring site data collection module includes a monitoring site detection unit and a regional detection data collection unit; the monitoring site detection unit monitors the status of each atmospheric monitoring site in the region through the transmission network covered in the monitoring area; Performing data access connection on each detection site to perform site operation detection to determine whether the site is operating normally; the regional detection data acquisition unit uses each atmospheric monitoring site to detect atmospheric quality data in the monitoring area and obtains the atmospheric pollution index in the corresponding area in real time; The detection data is transmitted to the monitoring center using the transmission network.

6. The pollution source tracing control system based on multi-source data fusion according to claim 5 is characterized by: The map processing module includes a satellite map extraction unit and an abnormal area fusion unit; the satellite map extraction unit integrates and processes the data transmitted by each detection site, and constructs a real-time regional air pollution index set by numbering each site and associating the corresponding data; locates the detection area through satellite maps, and determines the position of each detection site in the area; extracts the determined regional satellite map, and numbers each detection site and marks the detection data; The abnormal area fusion unit performs interference removal on the processed satellite image of the monitoring area to obtain the cloud point satellite image of the corresponding monitoring area; according to the preset detection threshold, the detection data of each detection site is judged, and the area where the pollutants exist above the threshold are marked as abnormal, and the abnormal area in the monitoring area is obtained by fusing the abnormal area.

7. The pollution source tracing control system based on multi-source data fusion according to claim 6 is characterized by: The pollution propagation positioning analysis module includes a regional comprehensive pollution analysis unit, a regional pollution distribution analysis unit and a pollution source positioning unit; the regional comprehensive pollution analysis unit analyzes the comprehensive pollution index of its monitoring area according to the distribution position of each monitoring station in the abnormal area, combined with the pollution index of the gaseous pollutants detected by it, and uses the reduced order sorting method to sort the comprehensive pollution index of the area detected by each station; according to the sorting result, by introducing a comparison parameter, if the absolute value of the difference in the comprehensive pollution index between adjacent detection stations is less than or equal to the comparison parameter, then the monitoring area corresponding to the adjacent monitoring station is judged to be a pollution area of ​​the same class; otherwise, it is a pollution area of ​​different classes, and the area corresponding to the high index is a high pollution class area, and the area corresponding to the low index is a low pollution class area; by reverse tracing from the corresponding monitoring station of the adjacent low-class pollution area to the corresponding monitoring station of the high-class pollution area, the pollution propagation reference path of the monitoring station is obtained; the regional pollution distribution analysis unit performs gaseous pollutant diffusion distribution analysis on the area corresponding to each monitoring station; analyzes the real-time diffusion degree of pollutants in each monitoring area, combined with the pollution of each monitoring area The real-time diffusion degree of pollutants is analyzed to analyze the diffusion distribution of pollutants in each area; the pollution source positioning unit constructs a set of pollutant diffusion center points of each monitoring area in the abnormal area by selecting the distribution point corresponding to the maximum value in each monitoring area as the pollutant diffusion center point in the corresponding area according to the pollutant diffusion distribution results of each monitoring area; the real-time propagation route of pollutants in the corresponding abnormal area is obtained by connecting the pollutant diffusion center points of the corresponding areas of adjacent detection stations; the real-time propagation route of the current pollutant is compared with the pollution propagation reference path of the monitoring station to obtain the hidden pollution emission sources in the detection area of ​​each monitoring station in the corresponding pollution propagation path; the pollution emission degree of each hidden pollution emission source is analyzed; according to the analysis results of the proportion of each emission source in each monitoring area, the emission source corresponding to the maximum value is selected as the main emission source of the corresponding monitoring area; according to the selection results of the main emission sources in each monitoring area, by comparing the real-time concentration emission values ​​of gaseous pollutants of each main emission source, the main emission source corresponding to the maximum value of the real-time pollutant concentration emission is the maximum pollution emission source in the current abnormal area, and it is located.

8. The pollution source tracing control system based on multi-source data fusion according to claim 7 is characterized by: The comprehensive feedback module includes a data visualization unit and a pollution feedback unit; the data visualization unit uses a visualization port to demonstrate dynamic data of the propagation path of atmospheric pollutants in the abnormal area and each monitoring station on the corresponding path; the pollution feedback unit marks each pollution emission source on the path, locates and outputs the main emission source based on the analysis results, and feeds back the output data to the management window for prompting.

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