Environmental pollution source monitoring data processing system

Abstract

The invention relates to the technical field of data processing, in particular to an environmental pollution source monitoring data processing system, which comprises a data acquisition module used for acquiring air monitoring data of a plurality of partitions; the similarity calculation module is used for calculating the concentration similarity of the adjacent partitions under each pollution gas based on the air monitoring data; the gas range calculation module is used for performing classification based on the concentration similarity of each pollution gas in the adjacent subareas to obtain a distribution area of each pollution gas; the pollution range calculation module is used for confirming a pollution area according to the gas distribution condition in each distribution area; the pollution confirmation module is used for confirming pollution sources. According to the method, the region is partitioned, and the pollution source is determined by analyzing the component change of the pollution gas in each partitioned region and the distribution coincidence degree of the pollution gas. Further comparing the components of the gas discharged by the polluted area and the factory, positioning the polluted factory and confirming the pollution influence range of the polluted factory.

Description

Technical Field

[0001] The invention relates to the technical field of data processing, and in particular to an environmental pollution source monitoring data processing system. Background Art

[0002] In the process of modern urbanization, factories have become one of the main sources of air pollution. These industrial facilities emit harmful gases such as sulfur dioxide, fine particulate matter, and various volatile organic compounds. These pollutants not only reduce air quality, but also pose a direct threat to human health. Therefore, it is particularly important to take effective measures to control the emission of these pollutants to improve air quality and protect the health and safety of the public. However, the complexity of the air pollution problem lies in the fact that polluted gases diffuse with the flow of air, which makes it difficult to accurately determine the specific sources of pollution and the degree of pollution in each area. In addition, the different gas compositions emitted by different pollution sources further increase the difficulty of determining their impact on the environment. Despite this, there is no system in the current technical means that can accurately identify pollution sources and effectively monitor them. Summary of the invention

[0003] In order to solve the above technical problems, the purpose of the present invention is to provide an environmental pollution source monitoring data processing system. In order to achieve the above purpose, the technical solution adopted by the present invention is as follows: The present application provides an environmental pollution source monitoring data processing system, the system comprising: a data acquisition module, used to acquire air monitoring data of multiple partitions in a target area, the air monitoring data comprising multiple concentration curves, each of which corresponds to a polluted gas, and the concentration curve is a curve whose concentration changes with the sampling time; a similarity calculation module, used to calculate based on the air monitoring data of each partition and the surrounding partitions, to obtain the concentration similarity of each partition under each polluted gas, the concentration similarity being calculated by the concentration curves of the polluted gas corresponding to one partition and one adjacent partition; a gas range calculation module, used to perform classification processing based on the concentration similarity of each polluted gas in each partition, to obtain the distribution area of ​​each polluted gas; a pollution range calculation module, used to calculate multiple pollution areas according to the distribution of polluted gases in each partition and the distribution area corresponding to each partition; a pollution confirmation module, used to confirm the pollution source in each pollution area; a sending module, used to send the pollution area corresponding to each pollution source to a terminal, and the multiple pollution areas are used to trigger the terminal to display a preset number of pollution sources.

[0004] In a possible implementation, the similarity calculation module includes: a concentration difference calculation module, which is used to calculate the concentration difference at each sampling time according to the concentration curves corresponding to the target partition and the adjacent partition respectively, the target partition is any partition, and the adjacent partition is adjacent to the target partition; a mean calculation module, which is used to calculate the mean of the concentration differences according to all the concentration differences; a curve similarity calculation module, which is used to calculate the curve similarity according to the concentration curves corresponding to the target partition and the adjacent partition; a first calculation module, which is used to calculate the concentration similarity according to the curve similarity, the concentration difference mean and all concentration differences.

[0005] In one possible implementation, the gas range calculation includes: a classification processing module, which is used to classify the concentration similarity of each partition based on a preset classification mathematical model to obtain two classification clusters and the average value of each classification cluster; a first judgment module, which is used to make judgments based on the average value of each classification cluster, and merge the coverage ranges of all partitions corresponding to the classification clusters with large average values ​​to obtain a distribution area.

[0006] In a possible implementation, the classification mathematical model is a K-Means mathematical model.

[0007] In one possible implementation, the pollution range calculation module includes: a counting module, which is used to respectively count the types of polluted gases and the total number of polluted gases in the second target partition, the second adjacent partition, the distribution range where the second target partition is located, and the distribution range where the second adjacent partition is located, where the target partition is any partition, and the second adjacent partition is adjacent to the second target partition; a possibility calculation module, which is used to calculate the possibility of the same pollution based on the types of polluted gases and the total number of polluted gases in the second target partition and the second adjacent partition; a correction module, which is used to correct the possibility of the same pollution based on the types of polluted gases and the total number of polluted gases in the distribution range where the second target partition is located and the distribution range where the second adjacent partition is located, to obtain a corrected possibility of the same pollution; a second judgment module, which is used to judge the corrected possibility of the same pollution source based on a preset first threshold value to obtain a pollution area.

[0008] In a possible implementation, the first threshold is 0.8.

[0009] In one possible implementation, the pollution confirmation module includes: a component acquisition module, used to obtain the composition of polluted gases of all factories in the polluted area; a coincidence calculation module, used to calculate the coincidence based on the polluted components of each factory and the polluted gases in the polluted area; a third judgment module, used to judge the coincidence of each factory according to a preset second threshold value, and obtain the pollution source, the coincidence corresponding to the pollution source is greater than the second threshold value.

[0010] In a possible implementation, the second threshold is 0.8.

[0011] In one possible implementation, the method for the terminal to display a preset number of pollution sources includes: counting the number of partitions within the pollution area of ​​each pollution source; sorting based on the number of partitions corresponding to each pollution source to obtain a sorting result; and displaying a preset number of pollution sources in the sorting result on a display screen.

[0012] In a possible implementation, the preset number is 50% of the total number of pollution sources.

[0013] The present invention has the following beneficial effects: In the present invention, the target area is divided into different areas by zoning the target area. Then, the changes in gas composition in each adjacent partition and the degree of overlap of polluted gas distribution are analyzed respectively to confirm which areas may be polluted by the same pollution source. Next, the specific component distribution of polluted gases in these polluted areas is further analyzed and compared with the polluted gases emitted by each factory. Through this comparison, the present invention can accurately locate the polluting factories that emit polluted gases in each polluted area, and can confirm the pollution impact range of each polluting factory through the distribution range of the polluted area. Finally, based on the impact range of each polluting factory, the pollution of each polluting factory can be effectively managed and controlled to reduce the subsequent impact on the environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0015] Figure 1 It is a schematic diagram of the structure of the environmental pollution source monitoring data processing system described in an embodiment of the present invention; Figure 2 Schematic diagram of the structure of the similarity calculation module described in the embodiment of the present invention; Figure 3 Schematic diagram of the structure of the gas range calculation module described in an embodiment of the present invention; Figure 4 Schematic diagram of the pollution range calculation module described in an embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of the pollution confirmation module described in an embodiment of the present invention; Figure 6 The present invention is a flowchart of a method for displaying a preset number of pollution sources on a terminal according to an embodiment of the present invention. DETAILED DESCRIPTION

[0016] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the specific implementation, structure, features and effects of an environmental pollution source monitoring data processing system proposed by the present invention in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0017] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0018] The specific scheme of the environmental pollution source monitoring data processing system provided by the present invention is described in detail below with reference to the accompanying drawings.

[0019] See also Figure 1 , which shows a schematic diagram of the structure of an environmental pollution source monitoring data processing system provided by an embodiment of the present invention. In this embodiment, the system includes: The data acquisition module is used to acquire air monitoring data of multiple partitions in the target area, wherein the air monitoring data includes multiple concentration curves, each of which corresponds to a polluted gas, and the concentration curve is a curve in which the concentration changes with the sampling time.

[0020] In this embodiment, the target area is the application scope of this system. The area can be an industrial development zone or an urban area. This embodiment does not impose any restrictions on the geographical distance or range of the area. Regarding the zoning issues involved in the data acquisition module, the division can be based on different administrative jurisdictions or a gridding method. The specific method of zoning should be selected by those skilled in the art according to actual conditions and needs, and this embodiment does not impose specific restrictions on this. In addition, the polluted gases mentioned in this embodiment include but are not limited to PM2.5, PM10, SO2, NO2, O3, CO, etc. Those skilled in the art can choose appropriate types of polluted gases according to actual application scenarios and needs, and this embodiment does not impose restrictions on this.

[0021] In this embodiment, the differences in the types of polluted gases emitted by different factories and the inconsistency of the contents of various gases are taken into account. Therefore, in view of the differences in the distribution of regional gas conditions caused by gas flow, it is first necessary to determine the changes in the presence of the same type of polluted gases based on the gas composition of each sub-area in the target area. Subsequently, based on the similarity of the polluted gases, the conditions of the polluted areas are further determined. Finally, the pollution range of each factory is determined based on the polluted gas emissions of each factory. The specific processing details and steps will be elaborated in subsequent modules.

[0022] A similarity calculation module, used for calculating, based on the air monitoring data of each partition and the surrounding partitions, obtaining the concentration similarity of each partition under each pollutant gas, wherein the concentration similarity is calculated from the concentration curves of the pollutant gas corresponding to one partition and one of the adjacent partitions; First, given the role of the same pollution source, the pollutants in the air will be affected by the meteorological conditions of air flow. In the same time span, the pollutant concentration trends in multiple areas affected by the same pollution source show certain similarities. Therefore, by analyzing the differential volatility of pollutant concentrations at the current moment and the pollutant concentration curve, the concentration similarity of pollutants in any adjacent areas can be determined. For detailed process, please refer to Figure 2 , Figure 2 Shows the Partition and The calculation process of the concentration similarity of the partition under the i-th pollutant gas, where Partition and The subdistricts are geographically adjacent.

[0023] A concentration difference calculation module, used for calculating the concentration difference at each sampling time according to the concentration curves corresponding to the target partition and the adjacent partition respectively, wherein the target partition is any partition, and the adjacent partition is adjacent to the target partition; A mean calculation module, used for performing mean calculation based on all the concentration differences to obtain a concentration difference mean; A curve similarity calculation module, used for calculating the curve similarity according to the concentration curves corresponding to the target partition and the adjacent partition; The first calculation module is used to calculate the concentration similarity according to the DTW distance, the concentration difference mean and all concentration differences.

[0024] Specifically, the calculation function of concentration similarity is as follows: ; in, Indicates Partition and The concentration similarity of each partition under the i-th pollutant gas; Indicates Partition and The similarity of the curves corresponding to the partition under the i-th polluted gas is calculated by the similarity of the two curves of the DTW algorithm; represents the total number of sampling moments of the i-th pollutant gas; Indicates Partition and The concentration difference of the i-th pollutant gas in the partition obtained at the j-th sampling time; Indicates Partition and The mean concentration difference of the i-th pollutant gas in the partition at all sampling times; Partition and The partitions are adjacent.

[0025] Polluted gases in the air are affected by meteorological conditions such as air flow. When they diffuse, they will affect the polluted gases from surrounding factories to adjacent partitions through air flow. The changes in the content of polluted gas indicators in these partitions will show similar flows. Therefore, in the above calculation formula, Indicates the concentration fluctuation value of the i-th pollutant gas, combined with It reflects the similarity of the changes in the two concentration curves. When the similarity of the concentration curve changes is higher and the concentration fluctuation value is smaller, the concentration similarity of the two adjacent partitions is higher.

[0026] A gas range calculation module, used for performing classification processing based on the concentration similarity of each of the polluted gases in each of the partitions to obtain the distribution area of ​​each of the polluted gases; In this embodiment, the results of the similarity calculation module can be used to determine whether adjacent partitions are the same pollution source, and then determine the distribution range of the i-th polluted gas in the target area. Figure 3, the figure shows one of the modules required for the distribution area division process.

[0027] A classification processing module, used for classifying the concentration similarity of each partition based on a preset classification mathematical model to obtain two classification clusters and an average value of each classification cluster; Here, it should be noted that the classification mathematical model mentioned in the present embodiment specifically refers to the K-Means mathematical model. However, for those technicians with relevant knowledge and experience in this technical field, in addition to the K-Means model, other multiple clustering algorithms can also be selected. These algorithms include but are not limited to hierarchical clustering methods, DBSCAN (density-based spatial clustering application and noise algorithm), GMM (Gaussian mixture model), fuzzy C-means clustering algorithm and spectral clustering method, etc. This embodiment does not make any specific restrictive provisions for the selection of these clustering methods, and the technician can flexibly select a suitable clustering algorithm according to actual needs and specific circumstances.

[0028] The first judgment module is used to make a judgment based on the average value of each classification cluster, and merge the partition coverage ranges corresponding to the classification clusters with large average values ​​to obtain a distribution area.

[0029] In this embodiment, the partitions with higher concentration similarity are merged. At the same time, it must be pointed out that during the execution of the first judgment module, the partitions that are not adjacent in geographical location will be deleted at the same time. In other words, during the execution of the first judgment module, the partitions that do not have adjacent geographical locations within the classification cluster with a larger average value will be eliminated to ensure that each distribution area is an independent range. The specific elimination operation is performed based on the geographical information of each partition. Since this operation belongs to the scope of the prior art, it will not be elaborated in detail in this embodiment.

[0030] In this embodiment, although a certain degree of reference is provided when determining the distribution area based on concentration similarity, its analysis method is relatively simple and fails to fully incorporate the consideration of the similarity of the polluted gas components under the influence of the same pollution source. Therefore, it cannot well reflect the impact of a pollution source. Therefore, this embodiment specifically adds a pollution range calculation module, which aims to further accurately adjust and optimize the distribution area based on a detailed analysis of the distribution of polluted gases, so as to achieve more accurate and objective pollution source positioning and scope definition.

[0031] A pollution range calculation module is used to calculate multiple pollution areas according to the distribution of polluted gases in each partition and the distribution area corresponding to each partition; In this embodiment, it is further considered that when judging whether adjacent partitions originate from the same pollution source, the evaluation should be based on the similarity of adjacent partitions in various pollutant gases and the overlap of pollutant gases in adjacent areas. If adjacent areas originate from the same pollution source, their similarity in various pollutant gases is usually high, the overlap of pollutant gases is also significant, and the proportion of non-shared pollutant gases in the two areas is relatively low. Based on this, if the adjacent partitions meet the above conditions in each of the above pollutant gases, it can be determined that these partitions are indeed affected by the same pollution source. Therefore, referring to Figure 4 The pollution range calculation module of this embodiment specifically includes the following components: Figure 4 Shows the Partition and Whether the partitions belong to the same pollution area process, Partition and The subdistricts are geographically adjacent; a counting module, used for respectively counting the types of polluted gases and the total number of polluted gases in a second target partition, a second adjacent partition, a distribution range where the second target partition is located, and a distribution range where the second adjacent partition is located, wherein the target partition is any partition, and the second adjacent partition is adjacent to the second target partition; A possibility calculation module, used for calculating the same pollution possibility according to the types of polluted gases and the total number of polluted gases in the second target subarea and the second adjacent subarea; Specifically, the calculation function of the same pollution possibility is as follows: ; in, Indicates Partition and The same pollution potential in the different zones; Indicates A collection of pollutant gas types for each zone; Indicates A collection of pollutant gas types for each zone; represents the counting function; in the above calculation function, The first partition represents the second target partition. The first partition represents the second adjacent partition.

[0032] In the above calculation function, Indicates Partition and The types of pollutant gases that appear simultaneously in each zone Indicates Partition and All types of pollutants appearing in the zone, Partition and The same pollution probability of the partition The larger and closer to 1, the more Partition and The more similar the pollutant gas distributions of the two zones are, the more likely it is that the two zones are affected by the same pollution source.

[0033] A correction module, configured to correct the same pollution possibility according to the types of polluted gases and the total number of polluted gases in the distribution range where the second target subarea is located and the distribution range where the second adjacent subarea is located, to obtain a corrected same pollution possibility; Specifically, the correction calculation function for the same pollution possibility is as follows: ; in, Indicates Partition and The same pollution probability after correction for each partition; Indicates The set of pollutant gas types within the distribution area where each partition is located; Indicates The set of pollutant gas types within the distribution area where each partition is located; represents a counting function; Indicates Partition and The same contamination possibility in the two zones.

[0034] In the above calculation function, It indicates the similarity of pollutant gases in two distribution ranges that exist at the same time. If two distribution ranges have more identical pollutants, the larger the value is, the more likely the two distribution ranges are affected by the same pollution source.

[0035] The second judgment module is used to judge the possibility of the corrected same pollution source according to a preset first threshold value to obtain a pollution area.

[0036] It should be noted that in this embodiment, the first threshold is 0.8. At the same time, those skilled in the art may also choose other values, which are not limited in this embodiment. At the same time, in this embodiment, when the corrected probability of the same pollution source in adjacent partitions is greater than 0.8, it is considered that the two adjacent partitions are affected by the same pollution source. Based on the above judgment basis, the two partitions with a probability less than 0.8 are divided to finally obtain a polluted area.

[0037] A pollution confirmation module, used to confirm the pollution source in each of the pollution areas; Furthermore, in order to further identify the pollution source of each of the polluted gases, this embodiment considers that if all the polluted gas types in a polluted area are compared with the exhaust gases of all the factories in the polluted area, if the overlap between the polluted gas types in a polluted area and the polluted gas of a certain factory is relatively high, it means that the factory is the pollution source of the polluted area. Based on the above analysis, see Figure 5 The contamination confirmation module shown in FIG. 1 also includes: A component acquisition module, used to obtain the composition of polluted gases of all factories in the polluted area; A coincidence calculation module, used for calculating the coincidence based on the pollutant components of each of the factories and the polluted gases in the polluted area; Specifically, the calculation function of the overlap is as follows: ; in, Indicates The overlap between factories; represents a counting function; Indicates The pollution composition of each factory; Indicates the composition of pollutant gases in the polluted area.

[0038] In the above calculation function, Indicates that it exists at the same time The pollution components in each factory and polluted area are The more similar the pollution components are between the factories and the polluted areas, the The larger the value.

[0039] The third judgment module is used to judge the overlap of each of the factories according to a preset second threshold value to obtain a pollution source, and the overlap corresponding to the pollution source is greater than the second threshold value.

[0040] It should be noted that in this embodiment, the second threshold is 0.8. At the same time, other values ​​may be selected by those skilled in the art, and this is not limited in this embodiment. Therefore, based on the above steps, the pollution source in the polluted area can be determined. At the same time, it should be noted that if the overlap of multiple factories in a polluted area is greater than 0.8, they should all be recorded for subsequent analysis.

[0041] The sending module is used to send the pollution area corresponding to each pollution source to the terminal, and the multiple pollution areas are used to trigger the terminal to display a preset number of pollution sources.

[0042] In this embodiment, the terminal can be a mobile phone or a computer that can receive the pollution area corresponding to each pollution source. After receiving the pollution area corresponding to each pollution source, the terminal can refer to Figure 6 A schematic flow chart of a method for a terminal to display a preset number of pollution sources is shown.

[0043] S1. Count the number of zones within the pollution area of ​​each pollution source; S2. Sort by the number of partitions corresponding to each pollution source to obtain a sorting result; S3, displaying a preset number of pollution sources in the sorting result on a display screen, wherein the preset number is 50% of the total number of pollution sources.

[0044] Through the above methods, the results of the environmental pollution source monitoring data processing system provided by this implementation can be displayed. Users can contact the pollution emission factories that constitute the pollution source to carry out pollution management, such as promoting the factories to achieve intensive land use, harmless raw materials, clean production, waste resource utilization, low-carbon energy, promote green products and green supply chain management, and encourage enterprises to adopt green materials and energy-saving technologies; and provide technical support for key industries such as metallurgy, building materials, and petrochemicals to help factories improve processes and reduce pollutant emissions.

[0045] In this embodiment, the target area is divided into different areas by zoning the target area. The changes in gas composition in each adjacent partition and the degree of overlap of the distribution of polluted gases are analyzed to confirm which polluted areas may originate from the same pollution source. Next, the specific component distribution of polluted gases in these polluted areas is further analyzed and compared in detail with the polluted gases emitted by each factory. Through this comparison, the polluting emission factory that caused the formation of each polluted area can be evaluated. Finally, according to the pollution range of each pollution emission factory, the pollution of each factory can be effectively managed and controlled to reduce the subsequent impact on the environment.

[0046] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0047] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. An environmental pollution source monitoring data processing system, characterized in that: The system comprises: A data acquisition module, used to acquire air monitoring data of multiple partitions in a target area, wherein the air monitoring data includes multiple concentration curves, each of which corresponds to a polluted gas, and the concentration curve is a curve in which the concentration changes with the sampling time; A similarity calculation module, used for calculating, based on the air monitoring data of each partition and the surrounding partitions, obtaining the concentration similarity of each partition under each pollutant gas, wherein the concentration similarity is calculated from the concentration curves of the pollutant gas corresponding to one partition and one of the adjacent partitions; A gas range calculation module, used for performing classification processing based on the concentration similarity of each of the polluted gases in each of the partitions to obtain the distribution area of ​​each of the polluted gases; A pollution range calculation module is used to calculate multiple pollution areas according to the distribution of polluted gases in each partition and the distribution area corresponding to each partition; A pollution confirmation module, used to confirm the pollution source in each of the pollution areas; The sending module is used to send the pollution area corresponding to each pollution source to the terminal, and the multiple pollution areas are used to trigger the terminal to display a preset number of pollution sources.

2. The environmental pollution source monitoring data processing system according to claim 1, characterized in that: The similarity calculation module comprises: A concentration difference calculation module, used for calculating the concentration difference at each sampling time according to the concentration curves corresponding to the target partition and the adjacent partition respectively, wherein the target partition is any partition, and the adjacent partition is adjacent to the target partition; A mean calculation module, used for performing mean calculation based on all the concentration differences to obtain a concentration difference mean; A curve similarity calculation module, used to calculate the curve similarity according to the concentration curves corresponding to the target partition and the adjacent partition; The first calculation module is used to calculate the concentration similarity according to the curve similarity, the concentration difference mean and all concentration differences.

3. The environmental pollution source monitoring data processing system according to claim 1, characterized in that: The gas range calculation includes: A classification processing module, used for classifying the concentration similarity of each partition based on a preset classification mathematical model to obtain two classification clusters and an average value of each classification cluster; The first judgment module is used to make a judgment based on the average value of each classification cluster, and merge all partition coverages corresponding to the classification cluster with a large average value to obtain a distribution area.

4. The environmental pollution source monitoring data processing system according to claim 3 is characterized in that: The classification mathematical model is a K-Means mathematical model.

5. The environmental pollution source monitoring data processing system according to claim 1, characterized in that: The pollution range calculation module includes: a counting module, used for respectively counting the types of polluted gases and the total number of polluted gases in a second target partition, a second adjacent partition, a distribution range where the second target partition is located, and a distribution range where the second adjacent partition is located, wherein the target partition is any partition, and the second adjacent partition is adjacent to the second target partition; A possibility calculation module, used for calculating the same pollution possibility according to the types of polluted gases and the total number of polluted gases in the second target subarea and the second adjacent subarea; A correction module, configured to correct the same pollution possibility according to the types of polluted gases and the total number of polluted gases in the distribution range where the second target subarea is located and the distribution range where the second adjacent subarea is located, to obtain a corrected same pollution possibility; The second judgment module is used to judge the possibility of the corrected same pollution source according to a preset first threshold value to obtain a pollution area.

6. The environmental pollution source monitoring data processing system according to claim 5, characterized in that: The first threshold is 0.

8.

7. The environmental pollution source monitoring data processing system according to claim 1, characterized in that: The pollution confirmation module includes: A component acquisition module, used to obtain the composition of polluted gases of all factories in the polluted area; A coincidence calculation module, used for calculating the coincidence based on the pollutant components of each of the factories and the polluted gases in the polluted area; The third judgment module is used to judge the overlap of each of the factories according to a preset second threshold value to obtain a pollution source, and the overlap corresponding to the pollution source is greater than the second threshold value.

8. The environmental pollution source monitoring data processing system according to claim 7, characterized in that: The second threshold is 0.

8.

9. The environmental pollution source monitoring data processing system according to claim 1, characterized in that: The method for the terminal to display a preset number of pollution sources includes: Count the number of zones within the contaminated area for each pollution source; Sort by the number of partitions corresponding to each pollution source to obtain the sorting result; A preset number of pollution sources in the sorting result are displayed on the display screen.

10. The environmental pollution source monitoring data processing system according to claim 9, characterized in that: The preset number is 50% of the total number of pollution sources.

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