A pollution source intelligent environmental protection monitoring method and system

Abstract

The invention relates to the technical field of environmental monitoring, and discloses an intelligent environmental monitoring method and system for pollution sources. The method divides a pollution source monitoring area into a plurality of monitoring sub-areas, and sets a plurality of data monitoring units in each monitoring sub-area. Then, real-time collection and analysis of pollutant-related data in the monitoring sub-areas are performed, and the pollution state difference value is calculated by analyzing the pollutant-related data between adjacent monitoring sub-areas. Then, the pollution state difference value collected over a period of time is analyzed, and an environmental pollution degree coefficient is calculated. Thus, the environmental pollution situation in each monitoring sub-area is detected, and the environmental pollution degree in each monitoring sub-area is detected. Then, an early warning response is performed for the detected monitoring sub-area with abnormal pollution degree, which is conducive to comprehensively realizing more refined monitoring and management of pollution sources, timely discovering environmental problems, and further improving the accuracy of pollution anomaly detection results.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental monitoring, and more specifically to an intelligent environmental monitoring method and system for pollution sources. Background Art

[0002] With the rapid development of industrialization and urbanization, environmental pollution problems have become increasingly prominent, including air pollution, water pollution, soil pollution, etc., which have posed serious threats to human health and the ecological environment. Therefore, it is imperative to effectively monitor and manage pollution sources. Traditional pollution source monitoring methods mainly rely on manual sampling and laboratory analysis. This method has limitations such as poor timeliness, limited coverage, and cumbersome data processing, and cannot meet the needs of modern environmental protection. With the rapid development of technologies such as the Internet of Things, big data, and artificial intelligence, intelligent environmental monitoring systems have emerged. By using automation, informatization, and intelligent means, the emission, emission concentration, and emission characteristic parameters of pollution sources are monitored and analyzed in real time, continuously, and accurately, thereby achieving precise control of pollution sources and improving the efficiency and effectiveness of environmental management.

[0003] However, the above process still has the following disadvantages:

[0004] First, the existing intelligent environmental monitoring methods for pollution sources lack the ability to divide the pollution source monitoring area into multiple monitoring sub-areas, which makes it impossible to achieve more refined monitoring and management of pollution sources, resulting in incomplete monitoring of pollution sources;

[0005] Second, the existing intelligent environmental monitoring methods for pollution sources lack the ability to analyze and predict the pollution differences between adjacent monitoring areas in combination with historical pollution difference changes. This may lead to errors in the detection of pollution levels due to slight pollution changes, resulting in inaccurate monitoring. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, the present invention provides a pollution source intelligent environmental monitoring method and system to solve the problems existing in the above-mentioned background technology.

[0007] The present invention provides the following technical solution: a pollution source intelligent environmental monitoring method, comprising:

[0008] S1: By dividing the pollution source monitoring area into multiple monitoring sub-areas, and setting up multiple data monitoring units in each monitoring sub-area, including pollution source emission monitoring unit, water quality emission unit, air quality monitoring unit and soil pollution monitoring unit;

[0009] S2: used to monitor and collect pollutant-related data in the monitoring sub-area in real time, including pollutant emission data, water quality status data, air quality data, and soil pollution data, and transmit the collected pollutant-related data to S3;

[0010] S3: used to process and analyze the collected pollutant-related data in the monitoring sub-area, obtain the sub-area pollution emission status monitoring index, the sub-area water quality status monitoring index, the sub-area air quality change index and the sub-area soil environment status monitoring index, and transmit the processing and analysis results to S4;

[0011] S4: Analyze the pollutant-related data between adjacent monitoring sub-areas, calculate the pollution state difference value, and transmit the pollution state difference value to S5;

[0012] S5: by collecting pollution state difference values ​​within a period of time and comprehensively analyzing the pollution state prediction coefficient, the change of pollution degree is predicted according to the pollution state prediction coefficient, and the calculated pollution state prediction coefficient is transmitted to S6;

[0013] S6: used to calculate the environmental pollution degree coefficient, detect the environmental pollution situation in each monitoring sub-area through the environmental pollution degree coefficient, detect the environmental pollution degree in each monitoring sub-area, and transmit the detection result to S7;

[0014] S7: It is used to respond to early warnings for monitoring sub-areas with abnormal pollution levels, and draw an environmental pollution monitoring map of the entire monitoring area and send it to the management personnel terminal.

[0015] Preferably, S1 divides the pollution source monitoring area into multiple monitoring sub-areas according to the distribution of the geographical locations of the pollution sources by using GIS technology, and numbers the multiple monitoring sub-areas as 1, 2, 3...n, respectively. At the same time, in each monitoring sub-area, a pollution source emission monitoring unit, a water quality emission unit, an air quality monitoring unit and a soil pollution monitoring unit are respectively set according to monitoring needs.

[0016] Preferably, S2 monitors and collects pollutant-related data in the monitoring sub-area by installing sensors and monitoring equipment in the pollution source emission monitoring unit, the water quality emission unit, the air quality monitoring unit and the soil pollution monitoring unit respectively.

[0017] Preferably, the process of processing the collected pollutant-related data in the monitoring sub-area in S3 includes data cleaning, data conversion, data standardization and data integration, and then processing and analyzing the pollutant-related data through the pollution source emission monitoring unit to obtain the sub-area pollution emission status monitoring index, processing and analyzing the pollutant-related data through the water quality emission unit to obtain the sub-area water quality status monitoring index, processing and analyzing the pollutant-related data through the air quality monitoring unit to obtain the sub-area air quality change index, and processing and analyzing the pollutant-related data through the soil pollution monitoring unit to obtain the sub-area soil environment status monitoring index;

[0018] The specific calculation formula of the sub-regional pollution emission status monitoring index is: , represents the pollutant concentration in the i-th monitoring sub-area, Indicates the pollutant concentration limit specified by environmental standards. represents the pollutant emission in the ith monitoring sub-area, Indicates the pollutant emission limit specified by environmental standards. is the weight coefficient;

[0019] The specific calculation formula of the sub-region water quality status monitoring index is: , represents the concentration of the jth water quality parameter in the i-th monitoring sub-area;

[0020] The specific calculation formula of the sub-region air quality change index is: , Indicates the air in the i-th monitoring sub-area The index value of pollutants, represents the weight coefficient;

[0021] The specific calculation formula of the sub-region soil environmental status monitoring index is: , represents the measured concentration of the vth soil pollutant in the ith monitoring sub-area, represents the standard limit of the vth soil pollutant in the ith monitoring sub-area, V represents the number of pollutants in the soil, Represents the weight coefficient of the vth soil pollutant.

[0022] Preferably, S4 compares and analyzes the difference between the sub-region pollution emission status monitoring index, sub-region water quality status monitoring index, sub-region air quality change index and sub-region soil environment status monitoring index calculated by two adjacent monitoring sub-regions, and calculates the pollution status difference value as follows: , represents the sub-region pollution emission status monitoring index within the i-th monitoring sub-region, represents the sub-region pollution emission status monitoring index in the i-1th monitoring sub-region, Indicates the water quality status monitoring of the sub-area in the i-th monitoring sub-area

[0023] Test index, represents the water quality status monitoring index of the sub-region in the i-1th monitoring sub-region, represents the sub-region air quality change index in the i-th monitoring sub-region, represents the sub-region air quality change index in the i-1th monitoring sub-region, represents the soil environmental status monitoring index of the sub-region in the i-th monitoring sub-region, Represents the sub-region soil environmental status monitoring index within the i-1th monitoring sub-region.

[0024] Preferably, S5 analyzes the pollution state difference values ​​between adjacent monitoring sub-areas within a period of time and calculates the pollution state prediction coefficient as , represents the difference value of the pollution state at the tth collection time point, It represents the average pollution state difference value within a period of time, and T represents the total collection time points within a period of time.

[0025] Preferably, S6 detects whether there is any abnormality in the pollution degree in each monitoring sub-area, and marks the monitoring sub-area where the abnormality is detected;

[0026] The specific calculation formula of the environmental pollution degree coefficient is: , Indicates the current pollution status difference value, represents the average pollution state difference value over a period of time, and D represents the pollution state prediction coefficient;

[0027] By comparing the environmental pollution degree coefficient F with the preset environmental pollution degree threshold By comparing, the pollution degree of the monitoring sub-area is detected to see if it is abnormal, and the monitoring sub-area with abnormal pollution degree is screened out; when the environmental pollution degree coefficient F Preset environmental pollution threshold When the environmental pollution degree coefficient F Preset environmental pollution threshold When , it means that there is an abnormality in the environmental pollution level of the monitoring sub-area, and all monitoring sub-areas with abnormal pollution levels are screened out and marked as abnormal.

[0028] Preferably, the S7 activates the early warning response mechanism for the monitoring sub-area marked as abnormal, and sends an alarm notification to the management personnel. At the same time, the entire monitoring area is drawn into an environmental pollution monitoring map using GIS software, the location of each monitoring sub-area is marked on the map, and the monitoring sub-area is then allocated into normal areas and abnormal marked areas according to the detection results.

[0029] To achieve the above object, the present invention provides the following technical solution: a pollution source intelligent environmental monitoring system, implementing the above pollution source intelligent environmental monitoring method, including:

[0030] Monitoring area division module: by dividing the pollution source monitoring area into multiple monitoring sub-areas, and setting up multiple data monitoring units in each monitoring sub-area, including pollution source emission monitoring unit, water quality emission unit, air quality monitoring unit and soil pollution monitoring unit;

[0031] Data acquisition module: used to monitor and collect pollutant-related data in the monitoring sub-area in real time. By installing sensors and monitoring equipment in each monitoring unit, the pollutant-related data in the monitoring sub-area can be collected in real time, including pollutant emission data, water quality status data, air quality data and soil pollution data, and the collected pollutant-related data can be transmitted to the data processing module;

[0032] Data processing module: used to process the collected pollutant-related data in the monitoring sub-area, process and analyze the pollutant-related data through the pollution source emission monitoring unit to obtain the sub-area pollution emission status monitoring index, process and analyze the pollutant-related data through the water quality emission unit to obtain the sub-area water quality status monitoring index, process and analyze the pollutant-related data through the air quality monitoring unit to obtain the sub-area air quality change index, process and analyze the pollutant-related data through the soil pollution monitoring unit to obtain the sub-area soil environment status monitoring index, and transmit the processing and analysis results to the difference comparison module;

[0033] Difference comparison module: by analyzing the pollutant-related data between adjacent monitoring sub-areas, the difference value of pollution status is calculated and transmitted to the prediction analysis module;

[0034] Prediction and analysis module: collects pollution state difference values ​​over a period of time, and comprehensively analyzes the pollution state prediction coefficient, predicts the change of pollution degree according to the pollution state prediction coefficient, and transmits the calculated pollution state prediction coefficient to the anomaly detection module;

[0035] Anomaly detection module: used to calculate the environmental pollution degree coefficient, detect the environmental pollution situation in each monitoring sub-area through the environmental pollution degree coefficient, detect the environmental pollution degree in each monitoring sub-area, and transmit the detection results to the early warning response module;

[0036] Early warning response module: used to respond to early warnings for monitoring sub-areas detected to have abnormal pollution levels, and draw the entire monitoring area into an environmental pollution monitoring map and send it to the management personnel terminal.

[0037] Technical effects and advantages of the present invention:

[0038] The present invention divides the pollution source monitoring area into multiple monitoring sub-areas, and sets multiple data monitoring units in each monitoring sub-area, collects and analyzes pollutant-related data in the monitoring sub-areas in real time, calculates the pollution state difference value by analyzing the pollutant-related data between adjacent monitoring sub-areas, and then analyzes the pollution state difference value collected over a period of time to calculate the environmental pollution degree coefficient, thereby detecting the environmental pollution situation in each monitoring sub-area and detecting the environmental pollution degree in each monitoring sub-area, and finally, performs an early warning response to the detected monitoring sub-area with abnormal pollution degree, and draws the entire monitoring area into an environmental pollution monitoring map and sends it to the management personnel terminal. By dividing the pollution source monitoring area into multiple monitoring sub-areas, it is beneficial to fully realize more refined monitoring and management of pollution sources, and by combining the pollution difference between adjacent monitoring areas with historical pollution difference changes to perform abnormal detection of environmental pollution degree in the monitoring area, it is beneficial to identify subtle pollution changes, discover environmental problems in a timely manner, and further improve the accuracy of pollution anomaly detection results. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a diagram of the method steps of the present invention.

[0040] Figure 2 It is a system structure block diagram of the present invention. DETAILED DESCRIPTION

[0041] The technical solution of the present invention will be clearly and completely described below in conjunction with the drawings in the present invention. In addition, the forms of the various structures recorded in the following embodiments are merely illustrative. The intelligent environmental monitoring method and system for pollution sources involved in the present invention are not limited to the various structures recorded in the following embodiments. All other implementations obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0042] like Figure 1 As shown, this embodiment provides a pollution source intelligent environmental monitoring method, including:

[0043] S1: By dividing the pollution source monitoring area into multiple monitoring sub-areas, and setting up multiple data monitoring units in each monitoring sub-area, including pollution source emission monitoring units, water quality emission units, air quality monitoring units and soil pollution monitoring units.

[0044] In this embodiment, S1 divides the pollution source monitoring area into multiple monitoring sub-areas according to the distribution of the geographical locations of the pollution sources by using GIS technology, and numbers the multiple monitoring sub-areas as 1, 2, 3...n, respectively. At the same time, in each monitoring sub-area, a pollution source emission monitoring unit, a water quality emission unit, an air quality monitoring unit, and a soil pollution monitoring unit are set according to monitoring needs.

[0045] S2: Used for real-time monitoring and collection of pollutant-related data within the monitoring sub-area, including pollutant emission data, water quality status data, air quality data, and soil pollution data, and transmit the collected pollutant-related data to S3.

[0046] In this embodiment, S2 monitors and collects pollutant-related data in the monitoring sub-area by installing sensors and monitoring equipment in the pollution source emission monitoring unit, the water quality emission unit, the air quality monitoring unit and the soil pollution monitoring unit respectively.

[0047] It should be specifically noted that the pollution source emission monitoring unit monitors and collects pollutant emission data in real time by installing emission monitoring equipment at the pollution source emission outlet within the monitoring sub-area;

[0048] The water quality discharge unit monitors and collects water quality status data in real time by deploying sensors and setting up water quality sampling points at key locations in rivers, lakes and drainage networks;

[0049] The air quality monitoring unit monitors air quality data in real time by establishing air quality monitoring stations in the monitoring sub-area;

[0050] The soil pollution monitoring unit monitors and collects soil pollution data in real time by setting up soil sampling points in the monitoring sub-area.

[0051] S3: used to process and analyze the pollutant-related data collected in the monitoring sub-area, obtain the sub-area pollution emission status monitoring index, sub-area water quality status monitoring index, sub-area air quality change index and sub-area soil environment status monitoring index, and transmit the processing and analysis results to S4.

[0052] In this embodiment, the process of processing the collected pollutant-related data in the monitoring sub-area by S3 includes data cleaning, data conversion, data standardization and data integration, and then the pollutant-related data is processed and analyzed by the pollution source emission monitoring unit to obtain the sub-area pollution emission status monitoring index, the pollutant-related data is processed and analyzed by the water quality emission unit to obtain the sub-area water quality status monitoring index, the pollutant-related data is processed and analyzed by the air quality monitoring unit to obtain the sub-area air quality change index, and the pollutant-related data is processed and analyzed by the soil pollution monitoring unit to obtain the sub-area soil environment status monitoring index;

[0053] The specific calculation formula of the sub-regional pollution emission status monitoring index is: , represents the pollutant concentration in the i-th monitoring sub-area, Indicates the pollutant concentration limit specified by environmental standards. represents the pollutant emission in the ith monitoring sub-area, Indicates the pollutant emission limit specified by environmental standards. is the weight coefficient;

[0054] The specific calculation formula of the sub-region water quality status monitoring index is: , represents the concentration of the jth water quality parameter in the i-th monitoring sub-area;

[0055] The specific calculation formula of the sub-region air quality change index is: , Indicates the air in the i-th monitoring sub-area The index value of pollutants, represents the weight coefficient;

[0056] The specific calculation formula of the sub-region soil environmental status monitoring index is: , represents the measured concentration of the vth soil pollutant in the ith monitoring sub-area, represents the standard limit of the vth soil pollutant in the ith monitoring sub-area, V represents the number of pollutants in the soil, Represents the weight coefficient of the vth soil pollutant.

[0057] S4: By analyzing the pollutant-related data between adjacent monitoring sub-areas, the pollution state difference value is calculated and the pollution state difference value is transmitted to S5.

[0058] In this embodiment, S4 performs a difference comparison analysis on the sub-region pollution emission status monitoring index, sub-region water quality status monitoring index, sub-region air quality change index and sub-region soil environment status monitoring index calculated by two adjacent monitoring sub-regions, and calculates the pollution status difference value as , represents the sub-region pollution emission status monitoring index within the i-th monitoring sub-region, represents the sub-region pollution emission status monitoring index in the i-1th monitoring sub-region, represents the sub-region water quality status monitoring index in the i-th monitoring sub-region, represents the water quality status monitoring index of the sub-region in the i-1th monitoring sub-region, represents the sub-region air quality change index in the i-th monitoring sub-region, represents the sub-region air quality change index in the i-1th monitoring sub-region, represents the soil environmental status monitoring index of the sub-region in the i-th monitoring sub-region, Represents the sub-region soil environmental status monitoring index within the i-1th monitoring sub-region.

[0059] S5: By collecting the pollution state difference values ​​within a period of time and comprehensively analyzing the pollution state prediction coefficient, the change of pollution degree is predicted according to the pollution state prediction coefficient, and the calculated pollution state prediction coefficient is transmitted to S6.

[0060] In this embodiment, S5 analyzes the pollution state difference values ​​between adjacent monitoring sub-areas within a period of time and calculates the pollution state prediction coefficient as , represents the difference value of the pollution state at the tth collection time point, It represents the average pollution state difference value within a period of time, and T represents the total collection time points within a period of time.

[0061] S6: used to calculate the environmental pollution degree coefficient, detect the environmental pollution situation in each monitoring sub-area through the environmental pollution degree coefficient, detect the environmental pollution degree in each monitoring sub-area, and transmit the detection result to S7.

[0062] In this embodiment, S6 detects whether there is an abnormality in the pollution level in each monitoring sub-area, and marks the monitoring sub-area where the abnormality is detected;

[0063] The specific calculation formula of the environmental pollution degree coefficient is: , Indicates the current pollution status difference value, represents the average pollution state difference value over a period of time, and D represents the pollution state prediction coefficient;

[0064] By comparing the environmental pollution degree coefficient F with the preset environmental pollution degree threshold By comparing, the pollution degree of the monitoring sub-area is detected to see if it is abnormal, and the monitoring sub-area with abnormal pollution degree is screened out; when the environmental pollution degree coefficient F Preset environmental pollution threshold When the environmental pollution degree coefficient F Preset environmental pollution threshold When , it means that there is an abnormality in the environmental pollution level of the monitoring sub-area, and all monitoring sub-areas with abnormal pollution levels are screened out and marked as abnormal.

[0065] S7: It is used to respond to early warnings for monitoring sub-areas with abnormal pollution levels, and draw an environmental pollution monitoring map of the entire monitoring area and send it to the management personnel terminal.

[0066] In this embodiment, the S7 activates the early warning response mechanism for the monitoring sub-area marked as abnormal, and sends an alarm notification to the management personnel. At the same time, the entire monitoring area is drawn into an environmental pollution monitoring map using GIS software, and the location of each monitoring sub-area is marked on the map. The monitoring sub-areas are then allocated into normal areas and abnormal marked areas based on the detection results.

[0067] like Figure 2 The present embodiment shown provides an implementation system corresponding to the intelligent environmental protection monitoring method for pollution sources, including a monitoring area division module, a data acquisition module, a data processing module, a difference comparison module, a prediction analysis module, an anomaly detection module and an early warning response module. The monitoring area division module is connected to the data acquisition module, the data acquisition module is connected to the data processing module, the data processing module is connected to the difference comparison module, the difference comparison module is connected to the prediction analysis module, the difference comparison module is connected to the anomaly detection module, the prediction analysis module is connected to the anomaly detection module, and the anomaly detection module is connected to the early warning response module.

[0068] The monitoring area division module divides the pollution source monitoring area into multiple monitoring sub-areas, and sets multiple data monitoring units in each monitoring sub-area, including a pollution source emission monitoring unit, a water quality emission unit, an air quality monitoring unit, and a soil pollution monitoring unit;

[0069] The data acquisition module is used to monitor and collect pollutant-related data in the monitoring sub-area in real time. By installing sensors and monitoring equipment in each monitoring unit, the pollutant-related data in the monitoring sub-area are collected in real time, including pollutant emission data, water quality status data, air quality data and soil pollution data, and the collected pollutant-related data are transmitted to the data processing module;

[0070] The data processing module is used to process the pollutant-related data collected in the monitoring sub-area, process and analyze the pollutant-related data through the pollution source emission monitoring unit to obtain the sub-area pollution emission status monitoring index, process and analyze the pollutant-related data through the water quality emission unit to obtain the sub-area water quality status monitoring index, process and analyze the pollutant-related data through the air quality monitoring unit to obtain the sub-area air quality change index, process and analyze the pollutant-related data through the soil pollution monitoring unit to obtain the sub-area soil environment status monitoring index, and transmit the processing and analysis results to the difference comparison module;

[0071] The difference comparison module analyzes the pollutant-related data between adjacent monitoring sub-areas, calculates the pollution state difference value, and transmits the pollution state difference value to the prediction analysis module;

[0072] The prediction and analysis module collects pollution state difference values ​​within a period of time, and comprehensively analyzes the pollution state prediction coefficient, predicts the change of pollution degree according to the pollution state prediction coefficient, and transmits the calculated pollution state prediction coefficient to the anomaly detection module;

[0073] The anomaly detection module is used to calculate the environmental pollution degree coefficient, detect the environmental pollution situation in each monitoring sub-area through the environmental pollution degree coefficient, detect the environmental pollution degree in each monitoring sub-area, and transmit the detection results to the early warning response module;

[0074] The early warning response module is used to respond to early warnings for monitoring sub-areas detected to have abnormal pollution levels, and to draw an environmental pollution monitoring map of the entire monitoring area and send it to the management personnel terminal.

[0075] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0076] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A pollution source intelligent environmental monitoring method, characterized in that: include: S1: By dividing the pollution source monitoring area into multiple monitoring sub-areas, and setting up multiple data monitoring units in each monitoring sub-area, including pollution source emission monitoring unit, water quality emission unit, air quality monitoring unit and soil pollution monitoring unit; S2: used for real-time monitoring and collection of pollutant-related data in the monitoring sub-area, including pollutant emission data, water quality status data, air quality data, and soil pollution data; S3: used to process and analyze the collected pollutant-related data in the monitoring sub-area to obtain the sub-area pollution emission status monitoring index, sub-area water quality status monitoring index, sub-area air quality change index and sub-area soil environment status monitoring index; S4: Analyze the pollutant-related data between adjacent monitoring sub-areas and calculate the difference value of pollution status; S5: By collecting the pollution state difference values ​​within a period of time and comprehensively analyzing the pollution state prediction coefficient, the change of pollution degree is predicted according to the pollution state prediction coefficient; S6: used to calculate the environmental pollution degree coefficient, detect the environmental pollution situation in each monitoring sub-area through the environmental pollution degree coefficient, and detect the environmental pollution degree in each monitoring sub-area; S7: used to respond to early warnings for monitoring sub-areas with abnormal pollution levels, and draw an environmental pollution monitoring map of the entire monitoring area and send it to the management terminal; The S3 processes the collected pollutant-related data in the monitoring sub-area through a process including data cleaning, data conversion, data standardization and data integration, and then processes and analyzes the pollutant-related data through the pollution source emission monitoring unit to obtain the sub-area pollution emission status monitoring index, processes and analyzes the pollutant-related data through the water quality emission unit to obtain the sub-area water quality status monitoring index, processes and analyzes the pollutant-related data through the air quality monitoring unit to obtain the sub-area air quality change index, and processes and analyzes the pollutant-related data through the soil pollution monitoring unit to obtain the sub-area soil environment status monitoring index; The specific calculation formula of the sub-regional pollution emission status monitoring index is: C i represents the pollutant concentration in the i-th monitoring sub-area, C0 represents the pollutant concentration limit specified by the environmental standard, Q i represents the pollutant emission in the ith monitoring sub-area, Q0 represents the pollutant emission limit specified by the environmental standard, and α1 and α2 are weight coefficients; The specific calculation formula of the sub-region water quality status monitoring index is: L ij represents the concentration of the jth water quality parameter in the i-th monitoring sub-area; The specific calculation formula of the sub-region air quality change index is: Y i1 , Y i2 , …, Y ik represents the index values ​​of 1, 2, ..., k pollutants in the air in the ith monitoring sub-area, f1, f2, ..., f k represents the weight coefficient; The specific calculation formula of the sub-region soil environmental status monitoring index is: R iv represents the measured concentration of the vth soil pollutant in the ith monitoring sub-area, S iv represents the standard limit of the vth soil pollutant in the ith monitoring sub-area, V represents the number of pollutants in the soil, and b v represents the weight coefficient of the vth soil pollutant; The S4 performs a difference comparison analysis on the sub-region pollution emission status monitoring index, sub-region water quality status monitoring index, sub-region air quality change index and sub-region soil environment status monitoring index calculated by two adjacent monitoring sub-regions, and calculates the pollution status difference value. I i It represents the sub-region pollution emission status monitoring index in the i-th monitoring sub-region, I i-1 represents the sub-region pollution emission status monitoring index in the i-1th monitoring sub-region, W i represents the water quality status monitoring index of the sub-region in the i-th monitoring sub-region, W i-1 represents the water quality status monitoring index of the sub-region in the i-1th monitoring sub-region, Q i represents the air quality change index of the sub-region within the i-th monitoring sub-region, Q i-1 represents the air quality change index of the sub-region within the i-1th monitoring sub-region, P i represents the soil environmental status monitoring index of the sub-region in the ith monitoring sub-region, P i-1 It represents the sub-region soil environmental status monitoring index in the i-1th monitoring sub-region; S5 analyzes the difference in pollution status between adjacent monitoring sub-areas within a period of time and calculates the pollution status prediction coefficient as A t represents the difference value of the pollution state at the tth collection time point, It represents the average pollution state difference value within a period of time, and T represents the total collection time points within a period of time.

2. The method for intelligent environmental protection monitoring of pollution sources according to claim 1 is characterized in that: The S1 divides the pollution source monitoring area into multiple monitoring sub-areas according to the geographical distribution of the pollution sources by using GIS technology, and numbers the multiple monitoring sub-areas as 1, 2, 3...n, and at the same time, in each monitoring sub-area, a pollution source emission monitoring unit, a water quality emission unit, an air quality monitoring unit and a soil pollution monitoring unit are set according to monitoring needs.

3. The method for intelligent environmental protection monitoring of pollution sources according to claim 1 is characterized in that: The S2 monitors and collects pollutant-related data in the monitoring sub-area by installing sensors and monitoring equipment in the pollution source emission monitoring unit, the water quality emission unit, the air quality monitoring unit and the soil pollution monitoring unit respectively.

4. The method for intelligent environmental monitoring of pollution sources according to claim 1, characterized in that: S6 detects whether there is an abnormality in the pollution level in each monitoring sub-area, and marks the monitoring sub-area where the abnormality is detected; The specific calculation formula of the environmental pollution degree coefficient is: A′ represents the current pollution state difference value, represents the average pollution state difference value over a period of time, and D represents the pollution state prediction coefficient; By comparing the environmental pollution degree coefficient F with the preset environmental pollution degree threshold θ, it is possible to detect whether the pollution degree in the monitoring sub-area is abnormal, and screen out the monitoring sub-areas with abnormal pollution degrees; when the environmental pollution degree coefficient F≤the preset environmental pollution degree threshold θ, it indicates that the environment in the monitoring sub-area is good, and the monitoring continues; when the environmental pollution degree coefficient F>the preset environmental pollution degree threshold θ, it indicates that the environmental pollution degree in the monitoring sub-area is abnormal, and all monitoring sub-areas with abnormal pollution degrees are screened out and marked as abnormal.

5. The method for intelligent environmental monitoring of pollution sources according to claim 1, characterized in that: The S7 activates the early warning response mechanism for the monitoring sub-area marked as abnormal, and sends an alarm notification to the management personnel. At the same time, the entire monitoring area is drawn into an environmental pollution monitoring map using GIS software, the location of each monitoring sub-area is marked on the map, and the monitoring sub-area is then allocated into normal areas and abnormal marked areas according to the detection results.

6. A pollution source intelligent environmental monitoring system, implementing a pollution source intelligent environmental monitoring method as claimed in any one of claims 1 to 5, characterized in that: include: Monitoring area division module: by dividing the pollution source monitoring area into multiple monitoring sub-areas, and setting up multiple data monitoring units in each monitoring sub-area, including pollution source emission monitoring unit, water quality emission unit, air quality monitoring unit and soil pollution monitoring unit; Data acquisition module: used to monitor and collect pollutant-related data in the monitoring sub-area in real time. By installing sensors and monitoring equipment in each monitoring unit, the pollutant-related data in the monitoring sub-area can be collected in real time, including pollutant emission data, water quality status data, air quality data and soil pollution data, and the collected pollutant-related data can be transmitted to the data processing module; Data processing module: used to process the collected pollutant-related data in the monitoring sub-area, process and analyze the pollutant-related data through the pollution source emission monitoring unit to obtain the sub-area pollution emission status monitoring index, process and analyze the pollutant-related data through the water quality emission unit to obtain the sub-area water quality status monitoring index, process and analyze the pollutant-related data through the air quality monitoring unit to obtain the sub-area air quality change index, process and analyze the pollutant-related data through the soil pollution monitoring unit to obtain the sub-area soil environment status monitoring index, and transmit the processing and analysis results to the difference comparison module; Difference comparison module: by analyzing the pollutant-related data between adjacent monitoring sub-areas, the difference value of pollution status is calculated and transmitted to the prediction analysis module; Prediction and analysis module: collects pollution state difference values ​​over a period of time, and comprehensively analyzes the pollution state prediction coefficient, predicts the change of pollution degree according to the pollution state prediction coefficient, and transmits the calculated pollution state prediction coefficient to the anomaly detection module; Anomaly detection module: used to calculate the environmental pollution degree coefficient, detect the environmental pollution situation in each monitoring sub-area through the environmental pollution degree coefficient, detect the environmental pollution degree in each monitoring sub-area, and transmit the detection results to the early warning response module; Early warning response module: used to respond to early warnings for monitoring sub-areas detected to have abnormal pollution levels, and draw the entire monitoring area into an environmental pollution monitoring map and send it to the management personnel terminal.

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