A method, device, equipment and medium for tracing and analyzing the source of air pollution

Abstract

The present invention discloses an atmospheric pollution source tracing analysis management method, device, equipment and medium, including: obtaining pollution data and meteorological data of a target monitoring point in a target period; constructing a control measures library; determining a daily high pollution period from the target period based on the pollution data of the target monitoring point in the target period; performing correlation analysis based on the meteorological data and pollution data of the daily high pollution period to determine the pollution source type and pollution source of the target monitoring point in the target period; determining target control suggestions from the control measures library based on the pollution source type of the target monitoring point in the target period; and feeding back the target control suggestions and pollution source to the target client. The present invention belongs to the field of environmental monitoring. The present invention can accurately and timely judge pollution events through the correlation between pollutants.

Description

Technical Field

[0001] The present invention relates to the field of environmental monitoring, and in particular to an atmospheric pollution source tracing analysis management method, device, equipment and medium. Background Art

[0002] At present, there are two main types of ambient air monitoring software at home and abroad. One is data visualization software used for pure data analysis and display. The platform can browse a large amount of data in multiple dimensions and achieve various data visualization effects. The other is a complex comprehensive software platform that integrates a variety of data, analyzes from a variety of angles, and calls various complex meteorological models.

[0003] However, the first type of pollution source tracing conclusions often rely on human analysis and judgment based on a large amount of data visualization, which requires high personnel ability and experience and is not very timely; the second type is not very real-time and timely, and requires a lot of infrastructure investment. Therefore, how to quickly and accurately conduct pollution source tracing analysis is an urgent problem to be solved. Summary of the invention

[0004] The present invention solves the technical problem of low timeliness of pollution source tracing analysis in the prior art by providing an atmospheric pollution source tracing analysis management method, device, equipment and medium, and achieves the technical effect of quickly and accurately performing pollution source tracing analysis.

[0005] In a first aspect, the present invention provides an atmospheric pollution source tracing analysis management method, the method comprising:

[0006] Obtain pollution data and meteorological data of the target monitoring point during the target period, where the pollution data includes the type of pollutants and the corresponding pollutant concentration of each type, and the meteorological data includes wind speed and wind direction. The duration of the target period is greater than or equal to 24 hours;

[0007] Construct a control measures library, which includes several types of pollution sources and several different levels of control suggestions corresponding to each type of pollution source;

[0008] According to the pollution data of the target monitoring point in the target period, the daily high pollution period is determined from the target period;

[0009] Based on the correlation analysis of meteorological data and pollution data during the daily high pollution period, the pollution source type and source of the target monitoring point during the target period are determined;

[0010] Determine target control suggestions from the control measures library based on the pollution source type at the target monitoring point within the target period;

[0011] Feedback target control suggestions and pollution sources to target clients.

[0012] Furthermore, according to the pollution data of the target monitoring point in the target period, the daily high pollution period is determined from the target period, including:

[0013] Eliminate gross error data from pollution data during the target period;

[0014] In the pollution data, when the pollutant concentration of any pollutant type exceeds the corresponding preset light pollutant concentration or the preset moderate pollutant concentration, the exceeding date is determined;

[0015] Determine the hourly mean pollutant concentration for that pollutant type on the day the limit was exceeded;

[0016] Several hourly pollutant concentration averages are sorted in descending order, and several hours before a preset percentage are selected in the sorting as daily high pollution periods.

[0017] Furthermore, based on the correlation analysis of meteorological data and pollution data during the daily high pollution period, the pollution source type of the target monitoring point during the target period is determined, including:

[0018] Based on the Pearson algorithm, a correlation analysis is performed based on the average hourly pollutant concentration of the pollutant type during the daily high pollution period and the meteorological data during the daily high pollution period to determine the pollution source type of the target monitoring point during the target period, where the pollution source type includes at least one of road dust pollution, construction dust pollution, biomass burning pollution, loose coal burning pollution and industrial emission pollution.

[0019] Furthermore, according to the pollution source type of the target monitoring point in the target period, target control suggestions are determined from the control measures library, including:

[0020] In the control measures library, determine several different levels of control suggestions corresponding to the pollution source types within the target period;

[0021] Determine the target level and the corresponding control recommendations based on the average hourly pollutant concentration of this pollutant type on the date of exceeding the standard.

[0022] Furthermore, the types of pollution sources include:

[0023] Industrial emission sources near source, industrial emission sources far source, other sources near source or other sources far source.

[0024] Furthermore, it also includes:

[0025] When the exceeding date is within the preset control period, the target level will be raised.

[0026] Furthermore, the gross error data in the pollution data of the target period is eliminated, including:

[0027] Determine the data mean of the pollution data during the target period;

[0028] Determine the Z-score value of the data point based on the data mean and the data point in the pollution data of the target period;

[0029] When the Z-score value of the data point is greater than the preset threshold, the data point is considered gross error data.

[0030] In a second aspect, the present invention provides an atmospheric pollution source tracing analysis management device, the device comprising:

[0031] An acquisition module is used to acquire pollution data and meteorological data of a target monitoring point during a target period, wherein the pollution data includes the type of pollutant and the concentration of pollutants corresponding to each type, and the meteorological data includes wind speed and wind direction. The duration of the target period is greater than or equal to 24 hours;

[0032] The measures library module is used to build a control measures library, where the control measures library includes several types of pollution sources and several different levels of control suggestions corresponding to each type of pollution source;

[0033] A time period determination module is used to determine the daily high pollution period from the target period according to the pollution data of the target monitoring point in the target period;

[0034] The type determination module is used to perform correlation analysis based on the meteorological data and pollution data during the daily high pollution period to determine the type of pollution source and the source of pollution at the target monitoring point during the target period;

[0035] The suggestion module is used to determine the target control suggestions from the control measures library according to the pollution source type of the target monitoring point within the target period;

[0036] The feedback module is used to feed back target control suggestions and pollution sources to the target client.

[0037] In a third aspect, the present invention provides an electronic device, comprising:

[0038] processor;

[0039] a memory for storing processor-executable instructions;

[0040] Among them, the processor is configured to execute to implement an air pollution source tracing analysis and management method as provided in the first aspect.

[0041] In a fourth aspect, the present invention provides a non-temporary computer-readable storage medium. When the instructions in the storage medium are executed by a processor of an electronic device, the electronic device can execute an air pollution source tracing analysis and management method as provided in the first aspect.

[0042] One or more technical solutions provided in the present invention have the following technical effects or advantages:

[0043] The present invention provides an atmospheric pollution source tracing analysis management method, the method comprising: obtaining pollution data and meteorological data of a target monitoring point within a target time period, wherein the pollution data at least includes the type of pollutant and the pollutant concentration corresponding to each type, and the meteorological data at least includes wind speed and wind direction, and the duration of the target time period is greater than or equal to 24 hours; constructing a control measure library, wherein the control measure library includes several types of pollution sources and several different levels of control suggestions corresponding to each type of pollution source; determining a daily high pollution period from the target period according to the pollution data of the target monitoring point in the target period; performing correlation analysis based on the meteorological data and pollution data of the daily high pollution period to determine the type of pollution source and the source of pollution source at the target monitoring point in the target period; determining a target control suggestion from the control measure library according to the type of pollution source at the target monitoring point in the target period; and feeding back the target control suggestion and the source of pollution source to the target client. The present invention can accurately and timely judge pollution events through the correlation between pollutants; the present invention can realize rapid tracing of environmental air pollution through pollutant concentration and meteorological correlation analysis combined with a localized pollution source list; the present invention can formulate control measures for different pollution sources; in addition, the present invention provides a customizable and locally set key value and a customized and localized real-time updated control measure library. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0045] Figure 1 A schematic flow chart of an atmospheric pollution source tracing analysis and management method provided by the present invention. DETAILED DESCRIPTION

[0046] The embodiment of the present invention solves the technical problem of low timeliness of pollution source tracing analysis in the prior art by providing an atmospheric pollution source tracing analysis management method.

[0047] The technical solution of the present invention is to solve the above technical problems, and the overall idea is as follows:

[0048] A method for tracing and analyzing the source of air pollution, the method comprising: obtaining pollution data and meteorological data of a target monitoring point within a target period, wherein the pollution data includes the type of pollutant and the pollutant concentration corresponding to each type, and the meteorological data includes wind speed and wind direction, and the duration of the target period is greater than or equal to 24 hours; constructing a control measure library, wherein the control measure library includes several types of pollution sources and several different levels of control suggestions corresponding to each type of pollution source; determining a daily high pollution period from the target period based on the pollution data of the target monitoring point in the target period; performing correlation analysis based on the meteorological data and pollution data of the daily high pollution period to determine the type of pollution source and the source of pollution source at the target monitoring point in the target period; determining a target control suggestion from the control measure library based on the type of pollution source at the target monitoring point in the target period; and feeding back the target control suggestion and the source of pollution source to the target client.

[0049] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0050] First of all, the term "and / or" in this article is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0051] The present invention provides Figure 1 The method for tracing the source of air pollution and analyzing management shown in the figure comprises steps S11-S16:

[0052] Regarding step S11, the pollution data and meteorological data of the target monitoring point in the target time period are obtained, wherein the pollution data includes the type of pollutants and the pollutant concentration corresponding to each type, and the meteorological data includes wind speed and wind direction. The duration of the target time period is greater than or equal to 24 hours.

[0053] The target monitoring point can be the air quality monitoring site or other monitoring site to be analyzed. The target monitoring point is equipped with several monitoring instruments for obtaining pollution data and meteorological data near the target monitoring point. The duration of the target period can be determined according to the actual situation and can generally be set to 24 hours.

[0054] Types of pollutants may include: PM10, PM2.5, SO2, NO2, NO, CO, and O3, etc.

[0055] The wind direction in meteorological data can be divided more finely, into dominant wind direction (sixteen directions) and common wind direction (360°). Meteorological data can also include temperature and humidity. In addition, the location data (latitude and longitude) of the target monitoring point can also be obtained.

[0056] Regarding step S12, a control measures library is constructed, wherein the control measures library includes several types of pollution sources and several different levels of control suggestions corresponding to each type of pollution source.

[0057] The control suggestions can be presented in various forms. The present invention presents them in a table form, as shown in Table 1:

[0058] Table 1

[0059]

[0060] It is understandable that the higher the level, the stricter the control recommendations and the more serious the pollution during the target period. Table 1 only divides into three levels, and the levels can be increased and the control recommendations can be enriched according to actual conditions.

[0061] Regarding step S13, based on the pollution data of the target monitoring point in the target period, the daily high pollution period is determined from the target period.

[0062] Specifically, it includes: eliminating gross error data in the pollution data of the target time period; determining the date of exceeding the standard when the pollutant concentration of any type of pollutant in the pollution data exceeds the corresponding preset light pollutant concentration or the preset moderate pollutant concentration; determining the hourly mean pollutant concentration of the pollutant type on the exceeding standard date; sorting several hourly mean pollutant concentrations in descending order, and selecting several hours before the preset percentage in the sorting as the daily high pollution period.

[0063] Gross error data refers to null value data or significant outlier data in contaminated data, including: determining the data mean of the contaminated data in the target time period; determining the Z-score value of the data point based on the data mean and the data point in the contaminated data in the target time period; when the Z-score value of the data point is greater than the preset threshold, the data point is considered as gross error data.

[0064] The data mean can be determined based on all pollution data within the target period, and several types of pollutants can be classified and removed separately, which will not be elaborated here. In addition to removing gross error data in the pollution data of the target period, heavy pollution data in the pollution data of the target period can also be removed. (In this field, low pollution, moderate pollution and heavy pollution corresponding to each type of pollutant have definite meanings)

[0065] Traverse all pollutant types, and when the pollutant concentration of any pollutant type exceeds the corresponding preset light pollutant concentration or the preset moderate pollutant concentration, determine the exceeding date.

[0066] For example, the preset light pollutant concentration of PM2.5 is 75 micrograms / cubic meter, and the pollutant concentration of PM2.5 during the target period is 85 micrograms / cubic meter. The date corresponding to 85 micrograms / cubic meter will be obtained as the date of exceeding the standard.

[0067] In addition to traversing all pollutant types, steps S13 to S16 may also be performed for each pollutant type.

[0068] The hourly average pollutant concentration of the pollutant type on the exceeding date can be determined based on the pollution data of the pollutant type on the exceeding date.

[0069] It can be understood that there are 24 hourly pollutant concentration averages on the exceeded dates. The 24 hourly pollutant concentration averages are sorted in descending order, and several hours before the preset percentage are selected in the sorting as the daily high pollution periods.

[0070] For example, the preset percentage is 80% and is rounded up, that is, the time periods corresponding to the first four hourly pollutant concentrations in the sorting are selected as the daily high pollution time periods.

[0071] Regarding step S14, a correlation analysis is performed based on the meteorological data and pollution data during the daily high pollution period to determine the type of pollution source and the source of the pollution source at the target monitoring point during the target period.

[0072] Specifically, based on the Pearson algorithm, correlation analysis is performed according to the average hourly pollutant concentration of the pollutant type during the daily high pollution period and the meteorological data during the daily high pollution period to determine the type of pollution source at the target monitoring point during the target period, where the pollution source type includes at least one of road dust pollution, construction dust pollution, biomass burning pollution, loose coal burning pollution and industrial emission pollution.

[0073] The dominant wind direction and wind speed during the daily high pollution period (meteorological data during the daily high pollution period) can be obtained first.

[0074] The Pearson correlation coefficient (Pearson algorithm) is a statistical indicator that measures the strength and direction of the linear relationship between two variables. It is applicable to quantitative data and assumes that the data is normally distributed. The formula includes:

[0075]

[0076] X i and Y i are the observed values ​​of the two variables, and are the means of the variables, and r is the Pearson correlation coefficient.

[0077] If there is a significant positive correlation between pollutant concentration and wind speed, it may mean that stronger winds help disperse pollutants, thereby reducing pollutant concentrations in local areas; conversely, if there is a negative correlation, it means that pollutants are more likely to accumulate under weak wind conditions; the correlation between wind direction and pollutant concentration can reveal the main source direction of pollutants. Based on the results of the correlation analysis, combined with the characteristics of different known pollution sources, the type of pollution source is inferred.

[0078] Road dust pollution: Usually related to traffic flow, higher pollutant concentrations may occur during peak hours in the morning and evening.

[0079] Construction dust pollution: related to construction activities, especially more obvious in dry and windy weather conditions.

[0080] Biomass burning pollution: such as straw burning and household heating, usually occurs in rural areas or in specific seasons.

[0081] Pollution from scattered coal burning: mainly occurs in winter, especially in areas without central heating.

[0082] Industrial emission pollution: related to factory production activities.

[0083] The types of pollution sources include: industrial emission sources near sources (0-3 km, wind speed <3m / s), industrial emission sources far sources (0-3 km, wind speed >3m / s), other sources near sources (0-1 km, wind speed <3m / s) or other sources far sources (1-3 km, wind speed >3m / s).

[0084] It is understandable that the present invention can monitor the source of pollution in a factory and provide management and control suggestions.

[0085] Regarding step S15, according to the type of pollution source at the target monitoring point within the target time period, the target control suggestion is determined from the control measure library.

[0086] Specifically, it includes: determining in the control measures library several different levels of control recommendations corresponding to the pollution source types within the target period; determining the target level and the control recommendations corresponding to the target level based on the average hourly pollutant concentration of the pollutant type on the date of exceeding the standard.

[0087] After determining the pollution source type within the target period, you can find different levels of control recommendations corresponding to the pollution source type within the target period in the control measures library, and determine the target level based on the average hourly pollutant concentration of the pollutant type on the date of exceeding the standard. The higher the average hourly pollutant concentration, the higher the target level and the stricter the control recommendation. The threshold for pollutant concentration division can be determined based on actual conditions.

[0088] In addition, this time it also includes: when the exceeding date is within the preset control period, the target level will be raised.

[0089] The preset control period refers to a period with special tasks, during which it is appropriate to upgrade before the current target level.

[0090] Regarding step S16, the target control suggestions and pollution sources are fed back to the target client.

[0091] Feedback the source of pollution, analyze the pollution process, and display the feedback in combination with the control suggestions for relevant personnel to review.

[0092] In summary, the present invention provides an atmospheric pollution source tracing analysis and management method, the method comprising: obtaining pollution data and meteorological data of a target monitoring point within a target time period, wherein the pollution data at least includes the type of pollutant and the pollutant concentration corresponding to each type, and the meteorological data at least includes wind speed and wind direction, and the duration of the target time period is greater than or equal to 24 hours; constructing a management and control measures library, wherein the management and control measures library includes several types of pollution sources and several different levels of management and control suggestions corresponding to each type of pollution source; according to the pollution data of the target monitoring point in the target time period, determining the daily high pollution time period from the target time period; performing correlation analysis based on the meteorological data and pollution data of the daily high pollution time period, determining the pollution source type and pollution source of the target monitoring point within the target time period; determining the target control suggestion from the management and control measures library according to the pollution source type of the target monitoring point within the target time period; and feeding back the target control suggestion and pollution source to the target client. The present invention can judge pollution events through the correlation between pollutants; the present invention can realize rapid tracing of environmental air pollution through pollutant concentration and meteorological correlation analysis combined with a localized pollution source list; the present invention can formulate control measures for different pollution sources; in addition, the present invention provides a customizable and locally set key value and a customized and localized real-time updated control measure library.

[0093] Based on the same inventive concept, the present invention provides an atmospheric pollution source tracing analysis and management device, the device comprising:

[0094] An acquisition module is used to acquire pollution data and meteorological data of a target monitoring point within a target period, wherein the pollution data at least includes the type of pollutant and the concentration of pollutants corresponding to each type, and the meteorological data at least includes wind speed and wind direction, and the duration of the target period is greater than or equal to 24 hours;

[0095] The measures library module is used to build a control measures library, where the control measures library includes several types of pollution sources and several different levels of control suggestions corresponding to each type of pollution source;

[0096] A time period determination module is used to determine the daily high pollution period from the target period according to the pollution data of the target monitoring point in the target period;

[0097] The type determination module is used to perform correlation analysis based on the meteorological data and pollution data during the daily high pollution period to determine the type of pollution source and the source of pollution at the target monitoring point during the target period;

[0098] The suggestion module is used to determine the target control suggestions from the control measures library according to the pollution source type of the target monitoring point within the target period;

[0099] The feedback module is used to feed back target control suggestions and pollution sources to the target client.

[0100] Based on the same inventive concept, the present invention also provides an electronic device, including:

[0101] processor;

[0102] a memory for storing processor-executable instructions;

[0103] Among them, the processor is configured to execute to implement an air pollution source tracing analysis and management method as provided above.

[0104] Based on the same inventive concept, the present application also provides a non-temporary computer-readable storage medium. When the instructions in the storage medium are executed by the processor of an electronic device, the electronic device can execute an atmospheric pollution source tracing analysis and management method as provided above.

[0105] Since the electronic device introduced in this embodiment is an electronic device used to implement the information processing method in the embodiment of the present invention, based on the information processing method introduced in the embodiment of the present invention, a person skilled in the art can understand the specific implementation of the electronic device of this embodiment and its various variations, so how the electronic device implements the method in the embodiment of the present invention is not described in detail here. As long as the electronic device used by a person skilled in the art to implement the information processing method in the embodiment of the present invention, it belongs to the scope of protection of the present invention.

[0106] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0107] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0108] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0109] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0110] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0111] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for tracing and analyzing the source of air pollution, characterized in that: The method comprises: Obtain pollution data and meteorological data of the target monitoring point during the target period, wherein the pollution data includes the type of pollutants and the concentration of pollutants corresponding to each type, and the meteorological data includes wind speed and wind direction, and the duration of the target period is greater than or equal to 24 hours; Constructing a control measures library, wherein the control measures library includes several types of pollution sources and several different levels of control suggestions corresponding to each type of pollution source; According to the pollution data of the target monitoring point in the target period, determining the daily high pollution period from the target period; Based on the correlation analysis of the meteorological data and pollution data during the daily high pollution period, the pollution source type and pollution source of the target monitoring point during the target period are determined; Determine target control suggestions from the control measures library according to the pollution source type of the target monitoring point within the target period; Feedback the target control suggestions and the pollution sources to the target client.

2. The method for tracing the source of air pollution according to claim 1, characterized in that: According to the pollution data of the target monitoring point in the target period, a daily high pollution period is determined from the target period, including: Eliminate gross error data in the pollution data of the target period; In the pollution data, when the pollutant concentration of any pollutant type exceeds the corresponding preset light pollutant concentration or the preset moderate pollutant concentration, the exceeding date is determined; Determine the hourly mean pollutant concentration of the pollutant type on the date of the exceedance; Several hourly pollutant concentration averages are sorted in descending order, and several hours before a preset percentage are selected in the sorting as the daily high pollution period.

3. The method for tracing the source of air pollution according to claim 2, characterized in that: Based on the correlation analysis between the meteorological data and the pollution data during the daily high pollution period, the pollution source type of the target monitoring point during the target period is determined, including: Based on the Pearson algorithm, a correlation analysis is performed according to the average hourly pollutant concentration of the pollutant type during the daily high pollution period and the meteorological data during the daily high pollution period to determine the type of pollution source at the target monitoring point during the target period, wherein the pollution source type includes at least one of road dust pollution, construction dust pollution, biomass burning pollution, loose coal burning pollution and industrial emission pollution.

4. The method for tracing the source of air pollution according to claim 3, characterized in that: According to the pollution source type of the target monitoring point within the target period, target control suggestions are determined from the control measures library, including: In the control measures library, determine several different levels of control suggestions corresponding to the pollution source types within the target period; Determine the target level and the control recommendations corresponding to the target level based on the average hourly pollutant concentration of the pollutant type on the date of exceeding the standard.

5. The method for tracing and analyzing the source of air pollution according to claim 1, characterized in that: The types of pollution sources include: Industrial emission sources near source, industrial emission sources far source, other sources near source or other sources far source.

6. The method for tracing the source of air pollution according to claim 4, characterized in that: Also includes: When the exceeding date is within the preset control period, the target level will be increased.

7. The method for tracing and analyzing the source of air pollution according to claim 2, characterized in that: Eliminate gross error data from the pollution data of the target period, including: Determining a data mean of the pollution data during the target period; Determine the Z-score value of the data point according to the data mean and the data point in the pollution data of the target period; When the Z-score value of the data point is greater than the preset threshold, the data point is considered gross error data.

8. An atmospheric pollution source tracing analysis and management device, characterized in that: The device comprises: An acquisition module is used to acquire pollution data and meteorological data of a target monitoring point within a target period, wherein the pollution data includes pollutant types and pollutant concentrations corresponding to each type, and the meteorological data includes wind speed and wind direction, and the duration of the target period is greater than or equal to 24 hours; A measures library module is used to construct a control measures library, wherein the control measures library includes several types of pollution sources and several different levels of control suggestions corresponding to each type of pollution source; A time period determination module, used to determine a daily high pollution period from the target period according to the pollution data of the target monitoring point in the target period; A type determination module, used to perform correlation analysis based on the meteorological data and pollution data during the daily high pollution period to determine the type of pollution source and the source of pollution source at the target monitoring point during the target period; A suggestion module, used to determine a target control suggestion from the control measure library according to the pollution source type of the target monitoring point within the target time period; The feedback module is used to feed back the target control suggestions and the pollution sources to the target client.

9. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; Wherein, the processor is configured to execute to implement an air pollution source tracing analysis and management method as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium, characterized in that: When the instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to implement an air pollution source tracing analysis and management method as described in any one of claims 1 to 7.

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