Site pollution heat monitoring method and system for emergency command and dispatch
By analyzing and matching the site warning information of the air quality monitoring station, calculating the pollution heat value and distance heat value, generating a total inspection priority table, and automatically generating early warning command and dispatch instructions, the problem of slow response speed of traditional air quality monitoring stations in sudden pollution incidents is solved, and fast and accurate dispatch management is achieved.
Patent Information
- Application Number
- CN202411641815.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-18
- Publication Date
- 2025-03-21
- Estimated Expiration
- 2044-11-18
AI Technical Summary
Traditional air quality monitoring stations respond slowly in sudden pollution incidents, have high professional and technical requirements, low work efficiency, and are easily affected by subjective factors of dispatchers, making it difficult to ensure the timeliness and accuracy of dispatching.
Through the site warning information of the monitoring site, the pollution source analysis is carried out on the site monitoring data, the pollution source is matched with it, the pollution heat value and distance heat value between the monitoring site and the pollution source point are calculated, the total inspection priority table is generated, and the early warning command and dispatch instructions are automatically generated.
It realizes rapid and accurate judgment and scheduling management of sudden environmental pollution incidents, reduces the useless offline investigation work, reduces the implementation cost of manpower and capacity building, and provides a more flexible and efficient supervision method.
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Figure CN119130094B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of atmospheric environment supervision, and in particular to a site pollution heat monitoring method and system for emergency command and dispatch. Background Art
[0002] In the current field of atmospheric environmental supervision, air quality monitoring stations are key equipment for sensing urban pollution trends and patterns. Rapid and accurate station data integration and precise dispatching in the event of sudden pollution incidents are directly related to urban environmental quality and residents' quality of life. Traditional station early warning and dispatching management methods mostly rely on manual inspections and experience judgments, but they have problems such as slow response speed, high professional and technical requirements, low work efficiency, and are easily affected by subjective factors of dispatchers, making it difficult to ensure the timeliness and accuracy of dispatching.
[0003] In view of this, it is particularly important to explore a new technical solution that can effectively judge and quickly and accurately dispatch and deal with sudden environmental pollution incidents at urban sites through site monitoring data. Summary of the invention
[0004] The purpose of the present invention is to provide a site pollution heat monitoring method and system for emergency incident command and dispatch. The method mainly performs pollution source analysis on the site monitoring data through the site warning information of the monitoring site, matches the pollution source related to it, so as to calculate the pollution heat value and distance heat value between the monitoring site and the pollution source point, so as to facilitate the subsequent generation of a total investigation priority table. The priority order in the total investigation priority table can be used for rapid and accurate dispatch and management.
[0005] In order to solve the above technical problems, the present invention adopts the following solutions:
[0006] A site pollution heat monitoring method for emergency command and dispatch, the method specifically comprising the following steps:
[0007] S1: Obtain the site warning information obtained after preprocessing of the current monitoring site, and obtain the corresponding pollutant type through the monitoring parameter label in the site warning information, wherein the pollutant type corresponds to a pollution source, and one pollution source corresponds to several pollutant types;
[0008] S2: Obtain a historical inspection list of several pollution source points, match the pollutant types emitted by the pollution sources recorded in the historical inspection list with the pollutant types corresponding to the monitoring parameter labels, and obtain the pollution source point that matches the site warning information as the first pollution source point;
[0009] S3: Calculate the distance between the current monitoring site and the first pollution source point as the distance heat value, and perform distance screening on the first pollution source point according to the distance heat value to obtain a plurality of first pollution source points located around the current monitoring site;
[0010] S4: According to the historical inspection list, the inspection problem rate of the first pollution source point located around the current monitoring site is counted, and the inspection problem rate is calculated by linear weighting method in chronological order to obtain the pollution heat value corresponding to the first pollution source point located around the current monitoring site;
[0011] S5: Generate a general investigation priority table based on the distance heat value and the pollution heat value between the current monitoring site and the first pollution source point located around the current monitoring site, and automatically generate early warning command and dispatch instructions through the general investigation priority table.
[0012] Furthermore, the historical inspection list is an inspection record of multiple inspections of pollution source points within a historical time period. The inspection records are mapped within the historical time period and are sorted in time by inspection time within the historical time period. Each inspection record records the type of pollutants emitted by the pollution source at the current inspection time.
[0013] Further, in S2, the pollution source is matched as follows:
[0014] When the pollutant type emitted by the pollution source recorded in the historical inspection list of the pollution source point corresponds to the same pollution source as the pollutant type corresponding to the monitoring parameter label, the pollutant type emitted by the pollution source matches the pollutant type corresponding to the monitoring parameter label, and indicates that its pollution source point matches the corresponding site warning information.
[0015] Furthermore, the S4 specifically includes the following steps:
[0016] S41: calling a historical inspection list of the first pollution source point located around the current monitoring site, obtaining a historical time period of the historical inspection list, and dividing the historical time period into at least two preset time periods connected in chronological order;
[0017] S42: Counting the first pollution source points located around the current monitoring site in a preset time period, and counting the inspection problem rate in the preset time period, wherein the inspection problem rate is the number of times the pollutant type emitted by the recorded pollution source matches the pollutant type corresponding to the monitoring parameter tag / the total number of inspection records;
[0018] S43: Calculate the inspection problem rate of the first pollution source point located around the current monitoring site using a linear weighted method in chronological order to obtain a corresponding pollution heat value.
[0019] Further, in S43, the linear weighted method is calculated as:
[0020] Corresponding weights are pre-set for at least two preset time periods connected in chronological order, and the weights are increased in chronological order, so that the inspection problem rate in the preset time period is multiplied by the corresponding weights and added together to obtain the pollution heat value in the historical time period.
[0021] Furthermore, in S5, a total pollution heat value can be generated based on the distance heat value and the pollution heat value between the current monitoring site and the first pollution source point located around the current monitoring site, so that the first pollution source points located around the current monitoring site are sorted in descending order according to the total pollution heat value to generate a current total investigation priority table, and early warning command and dispatch instructions are automatically generated through the current total investigation priority table.
[0022] Furthermore, the site warning information includes the site name, longitude and latitude of the site, warning time, and monitoring parameter concentration. When the monitoring parameter concentration is greater than a preset threshold corresponding to the monitoring parameter, the site warning information is marked with a monitoring parameter label corresponding to the monitoring parameter.
[0023] Furthermore, in S1, the preprocessing is: excluding the site warning information with abnormal monitoring parameters according to the monitoring parameters in the site warning information.
[0024] A site pollution heat monitoring system for emergency command and dispatch, comprising:
[0025] Site warning information collection module: obtains the site warning information obtained after preprocessing of the current monitoring site, and obtains the corresponding pollutant type through the monitoring parameter label in the site warning information. The pollutant type corresponds to a pollution source, and a pollution source corresponds to several pollutant types;
[0026] Pollution source point matching module: obtain a historical inspection list of several pollution source points, match the pollutant types emitted by the pollution sources recorded in the historical inspection list with the pollutant types corresponding to the monitoring parameter labels, and obtain the pollution source point that matches the site warning information as the first pollution source point;
[0027] Distance heat value calculation module: calculate the distance between the current monitoring site and the first pollution source point as the distance heat value, and perform distance screening on the first pollution source point according to the distance heat value to obtain several first pollution source points located around the current monitoring site;
[0028] Pollution heat value calculation module: According to the historical inspection list, the inspection problem rate of the first pollution source point located around the current monitoring site is counted, and the inspection problem rate is calculated by linear weighted method in chronological order to obtain the pollution heat value corresponding to the first pollution source point located around the current monitoring site;
[0029] General investigation priority table generation module: generates a general investigation priority table based on the distance heat value and pollution heat value between the current monitoring site and the first pollution source point located around the current monitoring site, and automatically generates early warning command and dispatch instructions through the general investigation priority table.
[0030] Furthermore, the pollution heat value calculation module also includes the following modules:
[0031] Time segmentation module: calling the historical inspection list of the first pollution source point located around the current monitoring site, obtaining the historical time period of the historical inspection list, and segmenting the historical time period into at least two preset time periods connected in chronological order;
[0032] Inspection problem rate statistics module: statistics are performed on the first pollution source point located around the current monitoring site in a preset time period, and the inspection problem rate within the preset time period is calculated. The inspection problem rate is the number of times the pollutant type emitted by the recorded pollution source matches the pollutant type corresponding to the monitoring parameter label / the total number of inspection records;
[0033] Linear weighted calculation module: The inspection problem rate of the first pollution source point around the current monitoring site is calculated by linear weighted method in chronological order to obtain the corresponding pollution heat value.
[0034] Beneficial effects of the present invention:
[0035] The present invention provides a site pollution heat monitoring method and system for emergency incident command and dispatch. The method mainly performs pollution source analysis on site monitoring data through site warning information of the monitoring site, matches the pollution sources related thereto, so as to calculate the pollution heat value and distance heat value between the monitoring site and the pollution source point, so as to facilitate the subsequent generation of a total investigation priority table. The priority order in the total investigation priority table can be used for rapid and accurate dispatch and management. BRIEF DESCRIPTION OF THE DRAWINGS
[0036] Figure 1 Schematic diagram of the process of monitoring site pollution heat in Example 1 of the present invention;
[0037] Figure 2 It is a schematic diagram of the locations of the current monitoring site X and the pollution source points in Example 1 of the present invention;
[0038] Figure 3 In Example 1 of the present invention, based on Figure 2 A schematic diagram of the distance heat value between the current monitoring site X and the pollution source point;
[0039] Figure 4 The figure is a flow chart of site emergency command and dispatch realizing human-machine collaboration in Embodiment 1 of the present invention. DETAILED DESCRIPTION
[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present invention and its application or use. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0041] The relative arrangement of components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
[0042] At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.
[0043] Additionally, descriptions of well-known structures, functions, and configurations may be omitted for clarity and conciseness.One of ordinary skill in the art will recognize that various changes and modifications may be made to the examples described herein without departing from the spirit and scope of the present disclosure.
[0044] Technologies, methods, and apparatus known to ordinary technicians in the relevant field may not be discussed in detail, but where appropriate, such technologies, methods, and apparatus should be considered part of the authorization specification.
[0045] In all examples shown and discussed herein, any specific values should be interpreted as merely exemplary and not as limiting. Therefore, other examples of the exemplary embodiments may have different values.
[0046] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments:
[0047] Example 1
[0048] like Figure 1 As shown, a site pollution heat monitoring method for emergency command and dispatch, the method specifically includes the following steps:
[0049] S1: Obtain the site warning information obtained after preprocessing of the current monitoring site, and obtain the corresponding pollutant type through the monitoring parameter label in the site warning information, wherein the pollutant type corresponds to a pollution source, and one pollution source corresponds to several pollutant types;
[0050] S2: Obtain a historical inspection list of several pollution source points, match the pollutant types emitted by the pollution sources recorded in the historical inspection list with the pollutant types corresponding to the monitoring parameter labels, and obtain the pollution source point that matches the site warning information as the first pollution source point;
[0051] S3: Calculate the distance between the current monitoring site and the first pollution source point as the distance heat value, and perform distance screening on the first pollution source point according to the distance heat value to obtain a plurality of first pollution source points located around the current monitoring site;
[0052] S4: According to the historical inspection list, the inspection problem rate of the first pollution source point located around the current monitoring site is counted, and the inspection problem rate is calculated by linear weighting method in chronological order to obtain the pollution heat value corresponding to the first pollution source point located around the current monitoring site;
[0053] S5: Generate a general investigation priority table based on the distance heat value and the pollution heat value between the current monitoring site and the first pollution source point located around the current monitoring site, and automatically generate early warning command and dispatch instructions through the general investigation priority table.
[0054] Preferably, the historical inspection list is an inspection record of multiple inspections of pollution source points within a historical time period. The inspection records are mapped within the historical time period and are sorted in time by inspection time within the historical time period. Each inspection record records the type of pollutants emitted by the pollution source at the current inspection time.
[0055] Preferably, in S2, the pollution source is matched as follows:
[0056] When the pollutant type emitted by the pollution source recorded in the historical inspection list of the pollution source point corresponds to the same pollution source as the pollutant type corresponding to the monitoring parameter label, the pollutant type emitted by the pollution source matches the pollutant type corresponding to the monitoring parameter label, and indicates that its pollution source point matches the corresponding site warning information.
[0057] Preferably, the S4 specifically includes the following steps:
[0058] S41: calling a historical inspection list of the first pollution source point located around the current monitoring site, obtaining a historical time period of the historical inspection list, and dividing the historical time period into at least two preset time periods connected in chronological order;
[0059] S42: Counting the first pollution source points located around the current monitoring site in a preset time period, and counting the inspection problem rate in the preset time period, wherein the inspection problem rate is the number of times the pollutant type emitted by the recorded pollution source matches the pollutant type corresponding to the monitoring parameter tag / the total number of inspection records;
[0060] S43: Calculate the inspection problem rate of the first pollution source point located around the current monitoring site using a linear weighted method in chronological order to obtain a corresponding pollution heat value.
[0061] Preferably, in S43, the linear weighted method is calculated as:
[0062] Corresponding weights are pre-set for at least two preset time periods connected in chronological order, and the weights are increased in chronological order, so that the inspection problem rate in the preset time period is multiplied by the corresponding weights and added together to obtain the pollution heat value in the historical time period.
[0063] Preferably, in S5, a total pollution heat value can be generated based on the distance heat value and the pollution heat value between the current monitoring site and the first pollution source point located around the current monitoring site, so that the first pollution source points located around the current monitoring site are sorted in descending order according to the total pollution heat value to generate a current total investigation priority table, and early warning command and dispatch instructions are automatically generated through the current total investigation priority table.
[0064] Preferably, the site warning information includes the site name, longitude and latitude of the site, warning time, and monitoring parameter concentration. When the monitoring parameter concentration is greater than a preset threshold corresponding to the monitoring parameter, the site warning information is marked with a monitoring parameter label corresponding to the monitoring parameter.
[0065] Preferably, in S1, the preprocessing is: excluding the site warning information with abnormal monitoring parameters according to the monitoring parameters in the site warning information.
[0066] Based on the above principles, the present invention is further described:
[0067] This invention aims to break through the limitations of traditional air quality monitoring site management and control methods, and innovatively use deep learning technology to provide a new solution for rapid judgment and precise scheduling management when emergencies occur at air quality monitoring sites, thereby promoting the development of urban atmospheric environment supervision towards intelligence and refinement.
[0068] In this embodiment, the site pollution heat monitoring method mainly performs pollution source analysis based on the site warning information obtained by the monitoring site, wherein the monitoring site is used to obtain monitoring data in real time, and the monitoring data includes the site name, longitude and latitude, time point, and monitoring parameter concentration. The monitoring parameters include PM2.5, PM10 and other types. When the concentration of the monitoring parameter in the monitoring data exceeds the threshold of the monitoring parameter, the current site warning information is generated according to the current monitoring data, and the current site warning information is marked with the corresponding monitoring parameter label. The monitoring parameter label is used to indicate the type of monitoring parameter, that is, the pollutant type.
[0069] Specifically, when the site warning information of the monitoring site is obtained, the site warning information needs to be preprocessed first. The preprocessing mainly refers to excluding the site warning information caused by obvious equipment failures, that is, excluding the site warning information with abnormal monitoring parameters by matching the site warning information with the internal logic of the monitoring parameters. For example, the concentration of the monitoring parameters in the current site warning information is the same as the concentration of the monitoring parameters in the previous site warning information. Since the atmospheric monitoring data fluctuates all the time, the current site warning information can be regarded as abnormal, that is, the site warning information caused by equipment failure; or it can be judged whether the current site warning information is abnormal based on the site equipment failure sample data. The site equipment failure sample data includes the site name, longitude and latitude, time, monitoring parameter abnormality type (such as data continues to remain unchanged, etc.), equipment failure condition, etc., which are used to debug the internal logic of the monitoring parameters and eliminate obvious equipment failure conditions.
[0070] Then, the pollution source analysis is performed on the pre-processed site warning information. Since the site warning information carries a monitoring parameter label, the pollutant type warned by the current site warning information can be obtained through the monitoring parameter label, and one pollutant type corresponds to one pollution source, but one pollution source corresponds to several different pollutant types. The pollution source can be expressed as {P1, P2, ..., Pn}, n is the number of pollution source types, then the pollution source and the corresponding pollutant type can be expressed as P1{P11, P12, ..., P1m}, m is the number of pollutant types corresponding to the pollution source P1. For example: if the pollutant type is PM10, the pollution source is a dust pollution source. The same pollution source will affect the monitoring parameter concentrations corresponding to different pollutant types. Therefore, based on the pollutant type warned by the monitoring parameter concentration in the monitoring site, the pollution heat value of the pollution source that may cause the change in the monitoring parameter concentration in the monitoring site is calculated.
[0071] Specifically, when the site warning information of the current monitoring site X is obtained after preprocessing, the corresponding pollutant type P11 is obtained according to the monitoring parameter label in the site warning information, and the pollution source P1 corresponding to the pollutant type P11 is obtained.
[0072] Then, a historical inspection list of pollution source points {Y1, Y2, ..., Yi} is obtained, and the historical inspection list is an inspection record of multiple inspections of pollution source points within a historical time period. The inspection records are mapped within the historical time period and are sorted in time by inspection time within the historical time period. Each inspection record records the type of pollutants emitted by the pollution source at the current inspection time.
[0073] Specifically, Figure 2 As shown, if the current pollution source points are pollution source point Y1, pollution source point Y2, and pollution source point Y3, then the historical inspection lists corresponding to pollution source point Y1, pollution source point Y2, and pollution source point Y3 are obtained. According to the historical inspection lists, the types of pollutants emitted by the pollution source in multiple inspection records of the pollution source site can be obtained, and they are sorted in chronological order, for example: the historical inspection list of pollution source point Y1 {P11, P12, P13, P21, P23}, the historical inspection list of pollution source point Y2 {P12, P13, P21, P22, P23}, and the historical inspection list of pollution source point Y3 {P21, P23}. The above historical inspection lists sort the types of pollutants emitted by the pollution sources in multiple inspection records in chronological order.
[0074] Then, according to the matching relationship between pollution sources and pollutant types, the pollutant types recorded in the historical inspection list are matched with the pollutant type P11 corresponding to the monitoring parameter label. It can be seen that the pollutant types P11, P12, and P13 emitted by the pollution source in the historical inspection list of the pollution source point Y1 all correspond to the same pollution source P1 as the pollutant type P11 corresponding to the monitoring parameter label, and the pollutant types P12 and P13 emitted by the pollution source in the historical inspection list of the pollution source point Y2 all correspond to the same pollution source P1 as the pollutant type P11 corresponding to the monitoring parameter label. Therefore, the pollution source point Y1 and the pollution source point Y2 are both matched with the corresponding site warning information, that is, the pollution source point Y1 and the pollution source point Y2 are both regarded as the first pollution source point, indicating that they are pollutants that have a certain impact on the current monitoring site.
[0075] Next, the distance between the current monitoring site X and the first pollution source point is calculated as the distance heat value. It can be seen that the present invention selects the first pollution source point for distance calculation, which can reduce the amount of data processing and improve efficiency. In addition, the following two distance screening methods are provided in this embodiment, as follows:
[0076] The first distance screening method:
[0077] Different distance thresholds are set in advance according to the types of different pollution sources, and the corresponding distance threshold is obtained according to the pollution source P1 obtained by matching the current pollution source, and then it is determined whether the distance difference between the pollution source point Y1 and the pollution source point Y2 and the current monitoring site is less than the corresponding distance threshold. If so, the pollution source point Y1 and the pollution source point Y2 are determined to be pollution source points located around the current monitoring site;
[0078] The second distance screening method:
[0079] Different distance thresholds are set in advance according to the types of different pollutants. The corresponding distance threshold is obtained according to the pollutant type P11 in the current site warning information, and then it is determined whether the distance difference between the pollution source point Y1 and the pollution source point Y2 and the current monitoring site is less than the corresponding distance threshold. If so, the pollution source point Y1 and the pollution source point Y2 are determined to be pollution source points located around the current monitoring site.
[0080] The above two distance screening methods can respectively fuzzily or accurately determine the pollution source points around the current monitoring site. Then, any distance screening method is used to obtain the current preset distance threshold, and it is determined whether the distance difference between the pollution source points Y1 and Y2 and the current monitoring site X is less than the current preset distance threshold. If Figure 3 As shown, a circle with the current monitoring site X as the center and the current preset distance threshold as the radius is formed. It can be seen that the pollution source point Y1 and the pollution source point Y2 are both located within the circle, that is, the distances D1 and D2 corresponding to the pollution source point Y1 and the pollution source point Y2 are both less than the preset distance threshold.
[0081] Then, the pollution heat is calculated for each pollution source site, specifically:
[0082] The first step is to call the historical inspection list of the pollution source point Y1 and the pollution source point Y2, obtain the historical time period of the historical inspection list, and divide the historical time period into at least two preset time periods connected in chronological order;
[0083] The historical inspection lists of the pollution source point Y1 and the pollution source point Y2 are inspection records obtained in the same historical time period, so the same historical time period is segmented. In this embodiment, for the convenience of calculation, it is selected to segment from the time center point of the historical time period, and it is divided into two preset time periods connected in chronological order. The preset time period in the front order is the preset time period that is newer than the current time, and is recorded as the latest preset time period. The preset time period in the back order is the preset time period that is older than the current time, and is recorded as the historical preset time period.
[0084] The second step is to count the first pollution source points located around the current monitoring site in a preset time period, and count the inspection problem rate in the preset time period. Then, the total number of inspection records in the latest preset time period and the historical preset time period, and the number of times the pollutant type emitted by the recorded pollution source matches the pollutant type corresponding to the monitoring parameter label are counted respectively;
[0085] Specifically, assuming that the historical inspection list {P11, P12, P13, P21, P23} of the pollution source point Y1 and the historical inspection list {P12, P13, P21, P22, P23} of the pollution source point Y2 are segmented, the pollution source point Y1 contains {P11, P12} in the latest preset time period and contains {P13, P21, P23} in the historical preset time period, then the pollution source point Y2 contains {P12, P13} in the latest preset time period and contains {P21, P22, P23} in the historical preset time period, after statistical calculation, it is obtained that the inspection problem rate of the pollution source point Y1 in the latest preset time period is 1 and the inspection problem rate in the historical preset time period is 1 / 3, the inspection problem rate of the pollution source point Y2 in the latest preset time period is 1 and the inspection problem rate in the historical preset time period is 0;
[0086] Step 3: Calculate the inspection problem rate of the first pollution source point around the current monitoring site by linear weighted method in chronological order to obtain the corresponding pollution heat value;
[0087] Specifically, in this embodiment, the historical time period is divided into the latest preset time period and the historical preset time period, and the weight increases in chronological order. The weight of the latest preset time period is set to a, and the weight of the historical preset time period is set to b, a>b and a+b=1, which meets the actual situation that the pollution sources with newer time have a greater impact on the pollution heat of the current monitoring site; it can be obtained that the pollution heat value of the pollution source point Y1 is 1*a+1 / 3*b, and the pollution heat value of the pollution source point Y2 is 1*a+0*b.
[0088] In summary, the pollution source points associated with the warning information can be obtained according to the pollution source matching, and the pollution heat value and distance heat value of the pollution source point can be calculated according to the pollution heat value. A total investigation priority value can be generated for the pollution source points associated with the site warning information through the pollution heat value and the distance heat value. Then, a current total investigation priority table that reflects the priority investigation of pollution sources of the current site warning information can be generated for the total investigation priority value of the pollution source points. The site warning command and dispatch instructions are automatically generated through the current total investigation priority table. The site pollution heat monitoring can realize the human-machine collaborative site emergency command and dispatch. Specifically, Figure 4As shown, based on the priority investigation pollution source information of the early warning site, the site early warning command and dispatch investigation instructions can be automatically generated to determine the early warning response plan, including the early warning site name, longitude and latitude, time, early warning information, and a priority investigation pollution source list (including pollution source name, longitude and latitude, distance, sewage discharge process, type of pollutant emission, and the most recent inspection problem record, etc.); then, based on the site early warning and dispatch instructions, offline manual investigation is performed and the results are fed back, and the accuracy of the automatic early warning and dispatch instructions is evaluated based on the feedback results, and the results are recorded to enrich the basic database. As a result, when sudden early warning events occur at the site, online automatic dispatch and offline manual investigation and disposal can be carried out preferentially and accurately for the related pollution sources.
[0089] It can be seen that the present invention provides a site pollution heat monitoring method for emergency command and dispatch, which can not only reduce the useless offline investigation workload and reduce the implementation cost of manpower and capacity building, but also can be widely applied to various monitoring sites, especially those sites that are not equipped with advanced monitoring equipment and areas with limited manpower capacity, providing a more flexible and efficient supervision means for urban atmospheric environment management.
[0090] Example 2
[0091] A site pollution heat monitoring system for emergency command and dispatch, comprising:
[0092] Site warning information collection module: obtains the site warning information obtained after preprocessing of the current monitoring site, and obtains the corresponding pollutant type through the monitoring parameter label in the site warning information. The pollutant type corresponds to a pollution source, and a pollution source corresponds to several pollutant types;
[0093] Pollution source point matching module: obtain a historical inspection list of several pollution source points, match the pollutant types emitted by the pollution sources recorded in the historical inspection list with the pollutant types corresponding to the monitoring parameter labels, and obtain the pollution source point that matches the site warning information as the first pollution source point;
[0094] Distance heat value calculation module: calculate the distance between the current monitoring site and the first pollution source point as the distance heat value, and perform distance screening on the first pollution source point according to the distance heat value to obtain several first pollution source points located around the current monitoring site;
[0095] Pollution heat value calculation module: According to the historical inspection list, the inspection problem rate of the first pollution source point located around the current monitoring site is counted, and the inspection problem rate is calculated by linear weighted method in chronological order to obtain the pollution heat value corresponding to the first pollution source point located around the current monitoring site;
[0096] General investigation priority table generation module: generates a general investigation priority table based on the distance heat value and pollution heat value between the current monitoring site and the first pollution source point located around the current monitoring site, and automatically generates early warning command and dispatch instructions through the general investigation priority table.
[0097] Furthermore, the pollution heat value calculation module also includes the following modules:
[0098] Time segmentation module: calling the historical inspection list of the first pollution source point located around the current monitoring site, obtaining the historical time period of the historical inspection list, and segmenting the historical time period into at least two preset time periods connected in chronological order;
[0099] Inspection problem rate statistics module: statistics are performed on the first pollution source point located around the current monitoring site in a preset time period, and the inspection problem rate within the preset time period is calculated. The inspection problem rate is the number of times the pollutant type emitted by the recorded pollution source matches the pollutant type corresponding to the monitoring parameter label / the total number of inspection records;
[0100] Linear weighted calculation module: The inspection problem rate of the first pollution source point around the current monitoring site is calculated by linear weighted method in chronological order to obtain the corresponding pollution heat value.
[0101] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. According to the technical essence of the present invention, within the spirit and principles of the present invention, any simple modification, equivalent replacement and improvement made to the above embodiment still falls within the protection scope of the technical solution of the present invention.
Claims
1. A site pollution heat monitoring method for emergency command and dispatch, characterized in that: Based on the pollutant type warned by the concentration of the monitoring parameter at the monitoring site, the pollution heat value of the pollution source that may cause the concentration of the monitoring parameter at the monitoring site to change is calculated, and the method specifically includes the following steps: S1: Obtain the site warning information obtained after preprocessing of the current monitoring site, obtain the corresponding pollutant type through the monitoring parameter label in the site warning information, and obtain the pollution source corresponding to the pollutant type; The pollutant type corresponds to one pollution source, and one pollution source corresponds to several pollutant types; S2: Obtain a historical inspection list of several pollution source points, and match the pollutant types emitted by the pollution sources recorded in the historical inspection list with the pollutant types corresponding to the monitoring parameter labels according to the matching relationship between the pollution sources and the pollutant types, and obtain the pollution source point that matches the site warning information as the first pollution source point; The pollution source matching is: when the pollutant type emitted by the pollution source recorded in the historical inspection list of the pollution source point corresponds to the same pollution source as the pollutant type corresponding to the monitoring parameter label, the pollutant type emitted by the pollution source matches the pollutant type corresponding to the monitoring parameter label, and it indicates that the pollution source point matches the corresponding site warning information; S3: Calculate the distance between the current monitoring site and the first pollution source point as the distance heat value, and perform distance screening on the first pollution source point according to the distance heat value to obtain a plurality of first pollution source points located around the current monitoring site; S4: According to the historical inspection list, the inspection problem rate of the first pollution source point located around the current monitoring site is counted, and the inspection problem rate is calculated by linear weighting method in chronological order to obtain the pollution heat value corresponding to the first pollution source point located around the current monitoring site; S41: calling a historical inspection list of the first pollution source point located around the current monitoring site, obtaining a historical time period of the historical inspection list, and dividing the historical time period into at least two preset time periods connected in chronological order; S42: Counting the first pollution source points located around the current monitoring site in a preset time period, and counting the inspection problem rate in the preset time period, wherein the inspection problem rate is the number of times the pollutant type emitted by the recorded pollution source matches the pollutant type corresponding to the monitoring parameter tag / the total number of inspection records; S43: Calculate the inspection problem rate of the first pollution source point located around the current monitoring site by linear weighting method in chronological order to obtain the corresponding pollution heat value; S5: Generate a general investigation priority table based on the distance heat value and the pollution heat value between the current monitoring site and the first pollution source point located around the current monitoring site, and automatically generate early warning command and dispatch instructions through the general investigation priority table.
2. A site pollution heat monitoring method for emergency command and dispatch according to claim 1, characterized in that: The historical inspection list is an inspection record of multiple inspections of pollution source points within a historical time period. The inspection records are mapped within the historical time period and sorted in time by inspection time within the historical time period. Each inspection record records the type of pollutants emitted by the pollution source at the current inspection time.
3. A site pollution heat monitoring method for emergency command and dispatch according to claim 1, characterized in that: In S43, the linear weighted method is calculated as: Corresponding weights are pre-set for at least two preset time periods connected in chronological order, and the weights are increased in chronological order, so that the inspection problem rate in the preset time period is multiplied by the corresponding weights and added together to obtain the pollution heat value in the historical time period.
4. A site pollution heat monitoring method for emergency command and dispatch according to claim 1, characterized in that: In S5, a total pollution heat value can be generated based on the distance heat value and the pollution heat value between the current monitoring site and the first pollution source point located around the current monitoring site, so that the first pollution source points located around the current monitoring site are sorted in descending order according to the total pollution heat value to generate a current total investigation priority table, and early warning command and dispatch instructions are automatically generated through the current total investigation priority table.
5. A site pollution heat monitoring method for emergency command and dispatch according to claim 1, characterized in that: The site warning information includes the site name, longitude and latitude of the site, warning time, and monitoring parameter concentration. When the monitoring parameter concentration is greater than a preset threshold corresponding to the monitoring parameter, the site warning information is marked with a monitoring parameter label corresponding to the monitoring parameter.
6. A site pollution heat monitoring method for emergency command and dispatch according to claim 1, characterized in that: In S1, the preprocessing is: excluding the site warning information with abnormal monitoring parameters according to the monitoring parameters in the site warning information.
7. A site pollution heat monitoring system for emergency command and dispatch, characterized in that: Based on the pollutant types warned by the concentration of monitoring parameters at the monitoring site, the pollution heat value of the pollution source that may cause the concentration of monitoring parameters at the monitoring site to change is calculated, including: Site warning information collection module: obtains the site warning information obtained after preprocessing of the current monitoring site, obtains the corresponding pollutant type through the monitoring parameter label in the site warning information, and obtains the pollution source corresponding to the pollutant type; the pollutant type corresponds to one pollution source, and one pollution source corresponds to several pollutant types; Pollution source point matching module: obtain a historical inspection list of several pollution source points, and match the pollutant types emitted by the pollution sources recorded in the historical inspection list with the pollutant types corresponding to the monitoring parameter labels according to the matching relationship between the pollution sources and the pollutant types, and obtain the pollution source point that matches the site warning information as the first pollution source point; The pollution source matching is: when the pollutant type emitted by the pollution source recorded in the historical inspection list of the pollution source point corresponds to the same pollution source as the pollutant type corresponding to the monitoring parameter label, the pollutant type emitted by the pollution source matches the pollutant type corresponding to the monitoring parameter label, and it indicates that the pollution source point matches the corresponding site warning information; Distance heat value calculation module: calculate the distance between the current monitoring site and the first pollution source point as the distance heat value, and perform distance screening on the first pollution source point according to the distance heat value to obtain several first pollution source points located around the current monitoring site; Pollution heat value calculation module: According to the historical inspection list, the inspection problem rate of the first pollution source point located around the current monitoring site is counted, and the inspection problem rate is calculated by linear weighted method in chronological order to obtain the pollution heat value corresponding to the first pollution source point located around the current monitoring site; The pollution heat value calculation module also includes the following modules: Time segmentation module: calling the historical inspection list of the first pollution source point located around the current monitoring site, obtaining the historical time period of the historical inspection list, and segmenting the historical time period into at least two preset time periods connected in chronological order; Inspection problem rate statistics module: statistics are performed on the first pollution source point located around the current monitoring site in a preset time period, and the inspection problem rate within the preset time period is calculated. The inspection problem rate is the number of times the pollutant type emitted by the recorded pollution source matches the pollutant type corresponding to the monitoring parameter label / the total number of inspection records; Linear weighted calculation module: The inspection problem rate of the first pollution source point located around the current monitoring site is calculated by linear weighted method in chronological order to obtain the corresponding pollution heat value; General investigation priority table generation module: generates a general investigation priority table based on the distance heat value and pollution heat value between the current monitoring site and the first pollution source point located around the current monitoring site, and automatically generates early warning command and dispatch instructions through the general investigation priority table.
Citation Information
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