CN113393058B - Pollutant control method, prediction control method, real-time control method and device - Google Patents

Pollutant control method, prediction control method, real-time control method and device Download PDF

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CN113393058B
CN113393058B CN202110796847.5A CN202110796847A CN113393058B CN 113393058 B CN113393058 B CN 113393058B CN 202110796847 A CN202110796847 A CN 202110796847A CN 113393058 B CN113393058 B CN 113393058B
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pollutant
control station
grid
pollution
data
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CN113393058A (en
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廖强
郝建奇
陈俊
王向勇
李辰
程乾
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Chengdu Jiahua Chain Cloud Technology Co ltd
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Chengdu Jiahua Chain Cloud Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services

Abstract

The application provides a pollutant control method, a prediction control method, a real-time control method and a device, which are applied to the field of pollutant control, wherein the pollutant control method comprises the following steps: obtaining pollutant observation data of a target national control station and grid data corresponding to grids in a preset area range corresponding to the target national control station; determining the predicted pollution time of the target national control station according to the pollutant observation data; determining pollutant discharge amounts and grid coordinates of the re-arranged grids in all grids in a preset area range in the predicted pollution time according to the grid data; and determining a first pollution contribution ratio of each re-emission grid to the target national control station according to the pollutant emission amount of each re-emission grid, the grid coordinates, the target national control station coordinates and the meteorological element data, so as to control the target national control station according to the first pollution contribution ratio. In the scheme, the overall control of pollutants is realized, the cost for determining the control scheme is reduced, and the accuracy of the control scheme is improved.

Description

Pollutant control method, prediction control method, real-time control method and device
Technical Field
The application relates to the field of pollutant control, in particular to a pollutant control method, a prediction control method, a real-time control method and a device.
Background
The prior art realizes the control of pollutants by mainly adopting a technical means of combining pollution source analysis and manual correction. Firstly, forecasting the change trend of future air quality by using the forecasting result of the air quality mode, and then analyzing the main pollution source formed by heavy pollution by using a source analysis module. And then, a professional formulates a management and control strategy by using professional knowledge and manual experience through the forecasting of the air quality mode and the source analysis result.
In the process of controlling the pollutants, a specific control scheme cannot be determined through program operation, and manual experience is needed, so that the cost for determining the control scheme is high and the accuracy of the determined control scheme is low.
Disclosure of Invention
The embodiment of the application aims to provide a pollutant control method, a prediction control method, a real-time control method and a device, which are used for solving the technical problems of higher cost of determining a control scheme and lower accuracy of the determined control scheme.
In a first aspect, an embodiment of the present application provides a method for controlling contaminants, including: obtaining pollutant observation data of a target national control station and grid data corresponding to grids in a preset area range corresponding to the target national control station; wherein the preset area range is divided into a plurality of grids; determining the predicted pollution time of the target national control station according to the pollutant observation data; determining pollutant discharge amounts of the re-arranged grids in all grids in the preset area range and grid coordinates in the predicted pollution time according to the grid data; and determining a first pollution contribution ratio of each re-emission grid to the target national control station according to the pollutant emission amount, grid coordinates, target national control station coordinates and meteorological element data of each re-emission grid, so as to control the target national control station according to the first pollution contribution ratio. In the scheme, according to the pollutant observation data obtained by the target national control station observation and the grid data obtained by statistics, the specific time and the area of pollutant emission and the emission amount of each grid which are specifically required to be controlled can be directly predicted, so that the overall control of the pollutants is realized, the cost for determining the control scheme is reduced, and the accuracy of the control scheme is improved.
In an optional embodiment, the determining, according to the grid data, the pollutant discharge amounts of the re-placed grids in the preset area range and the grid coordinates in the predicted pollution time includes: traversing grid data of all grids at each moment in a preset time period before each pollution moment aiming at each pollution moment in the predicted pollution time; and determining a re-emission grid corresponding to each moment in the preset time period according to the grid data, and the pollutant emission amount and the grid coordinates of each re-emission grid. In the scheme, the re-emission network in a certain period of time can be obtained according to the grid data obtained through statistics, so that the control scheme can be determined according to the pollutant emission amount of the re-emission network.
In an alternative embodiment, before traversing the grid data of all grids at each time within a preset period of time before each contamination time in the predicted contamination time, the method further includes: and determining the length of the preset time period according to the size of the preset area range and the meteorological element data. In the above-described scheme, the length of the preset time period from the discharge of the pollutants to the transmission to the target national control station may be considered based on the preset area range size and the meteorological element data to determine the management and control scheme based on the preset time period.
In an alternative embodiment, the determining the first pollution contribution ratio of each re-emission grid to the target national control station according to the pollutant emission amount, the grid coordinates, the target national control station coordinates and the meteorological element data of each re-emission grid includes: determining the position reached by the pollutant transmission of the re-emission grid in the preset time period according to the grid coordinates of each re-emission grid and the meteorological element data; determining pollutant emission in a preset range of the target national control station transmitted at each pollution time according to the position reached by the pollutant transmission and the target national control station coordinates; determining the pollutant concentration in the preset range transmitted to the target national control station in the predicted pollution time according to the pollutant emission amount; the first pollution contribution ratio is determined from the pollutant concentration and the pollutant discharge amount. In the above scheme, the first pollution contribution ratio of each re-emission grid to the target national control station is determined according to the amount of pollutants that each re-emission grid can transmit to the target national control station within a period of time, so as to determine the control scheme according to the first pollution contribution ratio.
In an alternative embodiment, after the determining the first pollution contribution ratio of each re-emission grid to the target national control station according to the pollutant emission amount, grid coordinates, target national control station coordinates, and meteorological element data of each re-emission grid, the method further comprises: determining a plurality of neighborhoods corresponding to the target national control station; and determining a second pollution contribution ratio of each neighborhood to the target national control station according to the first pollution contribution ratio so as to control the target national control station according to the second pollution contribution ratio. In the scheme, the second pollution contribution ratios of the multiple neighborhoods of the target national control station can be determined based on the first pollution contribution ratio of each re-emission grid to the target national control station, so that the control scheme can be determined according to the second pollution contribution ratios, and the neighborhood control of pollutants is realized.
In an alternative embodiment, after said determining a second pollution contribution ratio of each neighborhood to said target national control station according to said first pollution contribution ratio, said method further comprises: determining the total emission reduction amount corresponding to the target national control station according to the pollutant observation data and the grid data; and determining pollutant discharge amount to be regulated and controlled in each neighborhood according to the total emission reduction amount and the second pollution contribution ratio.
In a second aspect, an embodiment of the present application provides a prediction management and control method, including: acquiring transmission contribution concentration and local contribution concentration of a target national control station; judging the transmission contribution concentration and the magnitude of the local contribution concentration; if the transmission contribution concentration is less than the local contribution concentration, performing the contaminant management method of any of the preceding embodiments; otherwise, the contaminant management method as described in the previous embodiment is performed. In the scheme, through contribution analysis on the pollution source, a global management and control scheme or a neighborhood management and control scheme can be selected to be provided for the target area, so that a more suitable prediction management and control scheme can be determined according to actual conditions.
In a third aspect, an embodiment of the present application provides a real-time management and control method, including: acquiring current observation data of a target national control station; judging whether preset conditions are met or not according to the current observation data and the prediction data; when the preset condition is satisfied, the pollutant control method according to the foregoing embodiment is performed. In the scheme, whether the target area needs to be managed and controlled in real time can be determined according to the current observation data of the target national control station, and a neighborhood management and control scheme is provided when the target area needs to be managed and controlled, so that the influence of pollutants is timely reduced.
In an alternative embodiment, the preset condition includes: the current observed data is larger than a first preset threshold value; the current observed data is smaller than the first preset threshold value and larger than a second preset threshold value; the difference value between the current observed data and the predicted data is larger than a third preset threshold value; or the difference value between the current observed data and the predicted data is smaller than the third preset threshold value, and the pollutant data at the next moment determined according to the current observed data and the predicted data is larger than the first preset threshold value.
In a fourth aspect, an embodiment of the present application provides a contaminant management apparatus, including: the first acquisition module is used for acquiring pollutant observation data of a target national control station and grid data corresponding to grids in a preset area range corresponding to the target national control station; wherein the preset area range is divided into a plurality of grids; the first determining module is used for determining the predicted pollution time of the target national control station according to the pollutant observation data; the second determining module is used for determining pollutant discharge amounts of the re-arranged grids in the preset area range and grid coordinates in the predicted pollution time according to the grid data; and the third determining module is used for determining a first pollution contribution ratio of each re-emission grid to the target national control station according to the pollutant emission amount, grid coordinates, target national control station coordinates and meteorological element data of each re-emission grid so as to control the target national control station according to the first pollution contribution ratio. In the scheme, according to the pollutant observation data obtained by the target national control station observation and the grid data obtained by statistics, the specific time and the area of pollutant emission and the emission amount of each grid which are specifically required to be controlled can be directly predicted, so that the overall control of the pollutants is realized, the cost for determining the control scheme is reduced, and the accuracy of the control scheme is improved.
In an alternative embodiment, the second determining module is specifically configured to: traversing grid data of all grids at each moment in a preset time period before each pollution moment aiming at each pollution moment in the predicted pollution time; and determining a re-emission grid corresponding to each moment in the preset time period according to the grid data, and the pollutant emission amount and the grid coordinates of each re-emission grid. In the scheme, the re-emission network in a certain period of time can be obtained according to the grid data obtained through statistics, so that the control scheme can be determined according to the pollutant emission amount of the re-emission network.
In an alternative embodiment, the contaminant management apparatus further comprises: and the fourth determining module is used for determining the length of the preset time period according to the size of the preset area range and the meteorological element data. In the above-described scheme, the length of the preset time period from the discharge of the pollutants to the transmission to the target national control station may be considered based on the preset area range size and the meteorological element data to determine the management and control scheme based on the preset time period.
In an alternative embodiment, the third determining module is specifically configured to: determining the position reached by the pollutant transmission of the re-emission grid in the preset time period according to the grid coordinates of each re-emission grid and the meteorological element data; determining pollutant emission in a preset range of the target national control station transmitted at each pollution time according to the position reached by the pollutant transmission and the target national control station coordinates; determining the pollutant concentration in the preset range transmitted to the target national control station in the predicted pollution time according to the pollutant emission amount; the first pollution contribution ratio is determined from the pollutant concentration and the pollutant discharge amount. In the above scheme, the first pollution contribution ratio of each re-emission grid to the target national control station is determined according to the amount of pollutants that each re-emission grid can transmit to the target national control station within a period of time, so as to determine the control scheme according to the first pollution contribution ratio.
In an alternative embodiment, the contaminant management apparatus further comprises: a fifth determining module, configured to determine a plurality of neighborhoods corresponding to the target national control station; and a sixth determining module, configured to determine a second pollution contribution ratio of each neighborhood to the target national control station according to the first pollution contribution ratio, so as to control the target national control station according to the second pollution contribution ratio. In the scheme, the second pollution contribution ratios of the multiple neighborhoods of the target national control station can be determined based on the first pollution contribution ratio of each re-emission grid to the target national control station, so that the control scheme can be determined according to the second pollution contribution ratios, and the neighborhood control of pollutants is realized.
In an alternative embodiment, the pollutant controlling apparatus further comprises: a seventh determining module, configured to determine, according to the pollutant observation data and the grid data, a total emission reduction amount corresponding to the target national control station; and an eighth determining module, configured to determine, according to the total emission reduction amount and the second pollution contribution ratio, a pollutant emission amount to be regulated and controlled in each neighborhood.
In a fifth aspect, an embodiment of the present application provides a prediction management and control device, including: the second acquisition module is used for acquiring the transmission contribution concentration and the local contribution concentration of the target national control station; a first judging module, configured to judge the transmission contribution concentration and the local contribution concentration; a first management module configured to perform the contaminant management method of the first to fourth aspects described above if the transmission contribution concentration is less than the local contribution concentration; otherwise, the contaminant management method as described in the fifth to sixth aspects of the foregoing first aspect is performed. In the scheme, through contribution analysis on the pollution source, a global management and control scheme or a neighborhood management and control scheme can be selected to be provided for the target area, so that a more proper management and control scheme can be determined according to actual conditions.
In a sixth aspect, an embodiment of the present application provides a real-time management and control apparatus, including: the third acquisition module is used for acquiring current observation data of the target national control station; the second judging module is used for judging whether preset conditions are met or not according to the current observation data and the prediction data; and the second control module is used for executing the pollutant control method from the fifth to the sixth in the first aspect when the preset condition is met. In the scheme, whether the target area needs to be managed and controlled in real time can be determined according to the current observation data of the target national control station, and a neighborhood management and control scheme is provided when the target area needs to be managed and controlled, so that the influence of pollutants is timely reduced.
In an alternative embodiment, the preset condition includes: the current observed data is larger than a first preset threshold value; the current observed data is smaller than the first preset threshold value and larger than a second preset threshold value; the difference value between the current observed data and the predicted data is larger than a third preset threshold value; or the difference value between the current observed data and the predicted data is smaller than the third preset threshold value, and the pollutant data at the next moment determined according to the current observed data and the predicted data is larger than the first preset threshold value.
In a seventh aspect, an embodiment of the present application provides an electronic device, including: a processor, a memory, and a bus; the processor and the memory complete communication with each other through the bus; the memory stores program instructions executable by the processor, the processor invoking the program instructions to be able to perform the contaminant management method according to any of the preceding embodiments, the predictive management method according to the preceding embodiments, or the real-time management method according to the preceding embodiments.
In an eighth aspect, embodiments of the present application provide a non-transitory computer-readable storage medium storing computer instructions that, when executed by a computer, cause the computer to perform the contaminant management method according to any one of the preceding embodiments, the predictive management method according to the preceding embodiments, or the real-time management method according to the preceding embodiments.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a prediction management and control method according to an embodiment of the present application;
FIG. 2 is a flow chart of a real-time control method according to an embodiment of the present application;
FIG. 3 is a flowchart of a method for global management and control of contaminants according to an embodiment of the present application;
FIG. 4 is a flowchart of a method for contaminant neighborhood management and control according to an embodiment of the present application;
FIG. 5 is a block diagram of a contaminant management and control apparatus according to an embodiment of the present application;
FIG. 6 is a block diagram of a prediction management and control device according to an embodiment of the present application;
fig. 7 is a block diagram of a real-time management and control device according to an embodiment of the present application;
fig. 8 is a block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings in the embodiments of the present application.
The pollutant control scheme provided by the embodiment of the application is mainly divided into two parts of prediction control and real-time control. The prediction control refers to controlling pollutant emission in a future period of time in a target area according to the prediction of the pollutant concentration; real-time control refers to controlling the current real-time pollutant emission according to the pollutant concentration observed in real time. The following describes the prediction control and the real-time control in sequence.
Referring to fig. 1, fig. 1 is a flowchart of a prediction control method according to an embodiment of the present application, where the prediction control method may include the following:
step S101: and acquiring the transmission contribution concentration and the local contribution concentration of the target national control station.
Step S102: and judging the transmission contribution concentration and the local contribution concentration.
Step S103: if the transmission contribution concentration is smaller than the local contribution concentration, providing a global management and control scheme; otherwise, a neighborhood management and control scheme is provided.
Specifically, for a preset area range, the area range can be divided into a plurality of grids (the size of the grids can be determined according to actual conditions), wherein a national control station (the number and the position of the national control station can be determined according to actual conditions) is arranged in part of the grids, and the national control station is used for observing the pollutant concentration, the wind speed and other data of the grids. That is, for a predetermined area, the data relating to the contaminant may include two parts: pollutant observation data observed by the national control station and pollutant emission amount of each grid obtained by statistics and coordinates of the grids.
As an embodiment, the preset area range may have various implementations, for example: one city is a preset regional range; or, an administrative area is a preset area range, etc., which is not particularly limited in the embodiment of the present application.
Among other things, it is understood that there are various ways for the electronic device to obtain the above-mentioned data related to the contaminant, for example: receiving data sent by other devices; or directly reading the stored data from the cloud database, etc., which is not particularly limited in the embodiment of the present application.
After obtaining the data related to the pollutants, the pollutant concentration of a certain national control station (named as a target national control station for convenience of description) in a future period of time can be predicted according to the data, so as to obtain a pollutant concentration prediction result corresponding to the target national control station. The target national control station may then be analyzed for pollution source contribution based on the pollutant concentration prediction.
It will be appreciated that, in the prior art, the method for predicting the concentration of the pollutant and analyzing the contribution of the pollutant may be adopted, and those skilled in the art may appropriately select the method according to the actual situation, which is not particularly limited in the embodiment of the present application.
In the process of carrying out pollution source contribution analysis, the electronic equipment can acquire the transmission contribution concentration and the local contribution concentration of the target national control station, and judge the magnitude relation of the transmission contribution concentration and the local contribution concentration. The transmission contribution concentration refers to the concentration of pollutants discharged by other grids when the pollutants are transmitted to the target national control station, and the local contribution concentration refers to the concentration of pollutants discharged by the grid where the target national control station is located.
It will be appreciated that, similar to the above embodiments, there are also a plurality of ways in which the electronic device obtains the transmission contribution concentration and the local contribution concentration, for example: receiving data sent by other devices; or, directly reading the stored data from the cloud database, etc., which is not limited in the embodiment of the present application.
If the electronic equipment judges that the transmission contribution concentration of the target national control station is smaller than the local contribution concentration, the influence of the locally discharged pollutants on the target national control station is larger, so that a global control scheme can be provided for the grid where the target national control station is located; correspondingly, if the electronic equipment judges that the transmission contribution concentration of the target national control station is larger than the local contribution concentration, the influence of pollutants discharged by other grids on the target national control station is larger, so that a neighborhood management and control scheme can be provided for the grid where the target national control station is located.
The global control refers to controlling pollutant discharge amounts of grids in a preset area range, and the neighborhood control refers to controlling pollutant discharge amounts of grids in a partial area corresponding to a target national control station. It should be noted that, in the following embodiments, specific implementations of global control and neighborhood control will be described in detail, and thus will not be described herein.
In the scheme, through contribution analysis on the pollution source, a global management and control scheme or a neighborhood management and control scheme can be selected to be provided for the target area, so that a more suitable prediction management and control scheme can be determined according to actual conditions.
Next, referring to fig. 2, fig. 2 is a flowchart of a real-time management and control method according to an embodiment of the present application, where the real-time management and control method may include the following:
step S201: and acquiring current observation data of the target national control station.
Step S202: judging whether preset conditions are met or not according to the current observation data and the prediction data.
Step S203: and when the preset condition is met, providing a neighborhood management and control scheme.
Specifically, the electronic device may acquire the current observation data and the prediction data of the target national control station, where the manner of acquiring the current observation data and the prediction data has been described in the foregoing embodiments, which are not described herein again. Then, the electronic device can judge whether the preset condition is met according to the current observation data and the prediction data, and provide a neighborhood management and control scheme when the preset condition is met.
Wherein, the preset condition may include one of the following: firstly, the current observed data is larger than a first preset threshold value; secondly, the current observed data is smaller than a first preset threshold value and larger than a second preset threshold value; thirdly, the difference value between the current observed data and the predicted data is larger than a third preset threshold value; fourth, the difference between the current observed data and the predicted data is smaller than a third preset threshold, and the pollutant data at the next moment determined according to the current observed data and the predicted data is larger than the first preset threshold. That is, when the current observed data and the predicted data satisfy any one of the four conditions described above, a neighborhood management and control scheme may be provided, otherwise, regardless of control or the next judgment step is performed.
For example, the electronic device may determine whether the current observed data is greater than a first preset threshold, and if the current observed data is greater than the first preset threshold, provide a neighborhood management and control scheme; if the current observed data is smaller than the first preset threshold, the electronic device can further judge whether the current observed data is larger than the second preset threshold. If the current observed data is smaller than a second preset threshold value, no pollutant control is needed; if the current observed data is greater than the second preset threshold, the electronic device may provide a neighborhood management and control scheme, and may further determine whether a difference between the current observed data and the predicted data is greater than a third preset threshold. If the difference value between the current observed data and the predicted data is larger than a third preset threshold value, the electronic equipment can provide a neighborhood management and control scheme, wherein the abnormal situation (such as the situation of illegal emission) possibly exists; if the difference between the current observed data and the predicted data is smaller than the third preset threshold, the electronic device may further determine whether the contaminant data at the next time determined according to the current observed data and the predicted data is greater than the first preset threshold. If the probability that the pollutant data at the next moment determined according to the current observation data and the prediction data is larger than the first preset threshold value is larger, the electronic equipment can provide a neighborhood management and control scheme; if the probability that the pollutant data at the next moment determined according to the current observation data and the prediction data is larger than the first preset threshold value is smaller, the emission of pollutants is not required to be controlled.
It can be understood that the above solution is only an example provided by the embodiments of the present application, and those skilled in the art may flexibly adjust the real-time control process in combination with practical situations, and the embodiments of the present application are not limited in particular. In addition, the magnitude relation among the first preset threshold, the second preset threshold and the third preset threshold is not particularly limited in the embodiment of the present application.
In the scheme, whether the target area needs to be managed and controlled in real time can be determined according to the current observation data of the target national control station, and a neighborhood management and control scheme is provided when the target area needs to be managed and controlled, so that the influence of pollutants is timely reduced.
The global management scheme and the neighborhood management scheme in the above embodiments are sequentially described in detail below.
Referring to fig. 3, fig. 3 is a flowchart of a method for global control of contaminants according to an embodiment of the present application, where the method for global control of contaminants may include the following:
step S301: and acquiring pollutant observation data of the target national control station and grid data corresponding to grids in a preset area range corresponding to the target national control station.
Step S302: and determining the predicted pollution time of the target national control station according to the pollutant observation data.
Step S303: and determining pollutant discharge amounts of the re-arranged grids in all grids in the preset area range and grid coordinates in the predicted pollution time according to the grid data.
Step S304: and determining a first pollution contribution ratio of each re-emission grid to the target national control station according to the pollutant emission amount of each re-emission grid, the grid coordinates, the target national control station coordinates and the meteorological element data, so as to control the target national control station according to the first pollution contribution ratio.
Specifically, the pollutant observation data of the target national control station may include: the historical and real-time pollutant observation data of the target national control station can comprise pollutant concentration, wind speed at each past moment, whether the target national control station exceeds standard, a control range, an influence range and the like. The mesh data may include: pollutant discharge amount of the grid and coordinates of the grid. The pollutant observation data are observation data obtained by observing the national control station, and the grid data are statistical data obtained by statistics.
It should be noted that, the manner in which the electronic device obtains the pollutant observation data of the target national control station and the grid data of all grids within the preset area where the target national control station is located is similar to the manner in which the data related to the pollutant is obtained in the above embodiment, and will not be repeated here.
According to the pollutant observation data of the target national control station, the predicted result of the pollutant concentration of the target national control station can be determined, and according to the predicted result, the predicted pollution time of the target national control station is [ t1, t2] and the duration is Deltat. That is, the target national control station observes the phenomenon that the concentration of the pollutant exceeds the standard between the time t1 and the time t 2.
The electronic device may then determine, based on the grid data, the pollutant discharge amounts of the re-placed grids in all grids within the preset area within the predicted pollution time, and the grid coordinates. The step S303 may specifically include the following:
and traversing the grid data of all grids at each moment in a preset time period before each pollution moment aiming at each pollution moment in the predicted pollution time.
And determining a re-emission grid corresponding to each moment in a preset time period according to the grid data, and pollutant emission quantity and grid coordinates of each re-emission grid.
That is, for each contamination timing T between [ T1, T2], the discharge amounts of all the grids at each observation timing within a time range (i.e., [ T1-T, T1 ]) of a length of a preset time period T before the contamination timing T is traversed, and the re-discharge grid corresponding to each timing is determined.
The preset time period T may be a constant, and the size of the preset time period T may be determined according to the size of the preset area range and the weather element data. As an embodiment, the meteorological element data may include a wind speed, and the preset time period T may be obtained according to the size of the preset area range and the wind speed, so that pollutants discharged by all grids at the boundary of the preset area range may reach the target national control station within the preset time period T.
It will be appreciated that in calculating the pollutant transport, attenuation factors may be added due to the existence of phenomena of dry sedimentation (caused by gravity, brownian motion, etc.) and wet sedimentation (caused by rainfall, etc.), thus making the calculated preset time period T more accurate.
After the traversal is completed, a four-dimensional array (Δt, N, T, 2) is obtained. Wherein the value range of Deltat is t1 to t2, which represents each time between t1 and t 2; the value range of N is the number of rearrangement lattices at the current moment, for example: the number of the rearrangement grids at the time t1 is 100, and the value range of the N at the time t1 is 1 to 100, which means that the 1 st rearrangement grid to the 100 th rearrangement grid; t is a constant and represents a preset time period in the above embodiment; and 2 is the coordinate of the current heavy-emission grid, and comprises two data of an x-axis coordinate and a y-axis coordinate.
It will be appreciated that since the pollutant emissions for each grid may be different at different times, it may be possible for one grid to belong to the re-emission grid at some times, not at some times, and the number of re-emission grids corresponding to each time is not necessarily the same.
For example, assuming T1 is 6 months, 5 days, 10 points, T2 is 6 months, 5 days, 12 points, each pollution time T is 1 hour apart, and T is 72 hours, the pollutant discharge amounts of all grids are traversed at intervals of one hour in a period from 6 months, 2 days, 10 points to 6 months, 5 days, 10 points; if the pollutant discharge amount of a certain grid at the current moment exceeds a preset threshold value, the grid at the moment is regarded as a rearrangement grid; then traversing the pollutant discharge amounts of all grids every one hour in the period from 11 points on 6 months and 2 days to 11 points on 6 months and 5 days; and finally traversing pollutant discharge amounts of all grids every one hour within a period from 12 points on 2 days of 6 months to 12 points on 5 days of 6 months.
The resulting four-dimensional array can be expressed as: (6 month 5 day 10 point, 1, 72 hours, (x 1, y 1)), (6 month 5 day 10 point, 2, 72 hours, (x 2, y 2)), … …, (6 month 5 day 12 point, 1, 72 hours, (x 3, y 3)), (6 month 5 day 12 point, 2, 72 hours, (x 4, y 4)), … ….
After obtaining the four-dimensional array in the above embodiment, that is, after determining the pollutant discharge amounts of the re-discharge cells and the cell coordinates in all the cells within the preset area within the predicted pollution time, the electronic device may determine the first pollution contribution ratio of each re-discharge cell to the target national control station based on the above data.
As an embodiment, the step S304 may specifically include the following:
and determining the position reached by the pollutant transmission of the re-emission grid in a preset time period according to the grid coordinates of each re-emission grid and the meteorological element data.
And determining the pollutant emission amount in a preset range of the target national control station transmitted at each pollution time according to the position reached by the pollutant transmission and the target national control station coordinates.
And determining the concentration of the pollutant in a preset range which is transmitted to the target national control station in the predicted pollution time according to the pollutant emission amount.
A first pollution contribution ratio is determined based on the concentration of the pollutant and the pollutant discharge amount.
First, the electronic device may calculate to which location the contaminants discharged by all the re-discharge grids determined in the above embodiments may be transferred within the preset time period T.
For example, also assume that T1 is 6 months 5 days 10 points, T2 is 6 months 5 days 12 points, each contamination moment T is 1 hour apart, and T is 72 hours. Taking a heavy discharge grid as an example for a period from 10 points on 6 months 2 days to 10 points on 6 months 5 days, the pollutant discharged from 10 points on 6 months 2 days can be considered to be transmitted 72 times when the pollutant is discharged from 10 points on 6 months 5 days, and the current position of the pollutant discharged from 10 points on 6 months 2 days can be obtained; the pollutant discharged from the point 11 on the 2 th month is transmitted 71 times at the point 10 on the 5 th month of 6 months, and the current position of the pollutant discharged from the point 10 on the 2 nd month of 6 months can be obtained at the moment; similarly, 72 positions of 72 pollutants discharged by the rearrangement network between the 10 th day of 6 months and the 10 th day of 5 days of 6 months can be obtained.
The other re-emission grids at other moments can be calculated in the above manner, and the final position of the pollutant transmission of each re-emission grid at each moment in the preset time period T can be finally obtained. According to the final position of the pollutant transmission calculated by the embodiment, whether the final position of the pollutant transmission is within the preset range (for example, three kilometers, ten kilometers and the like) of the target national control station can be judged.
Then, calculating how much pollutant (i.e., pollutant emission amount) is transmitted to a preset range of a target national control station in a preset time period T in the past by a certain re-emission grid at a certain moment; then, calculating how much pollutant (namely pollutant concentration) of a certain heavy emission grid is transmitted to a preset range of a target national control station between [ t1, t2 ]; finally, multiplying the pollutant concentration by the initial pollutant discharge amount of the rearrangement unit to obtain a value, and combining the values of all the rearrangement units to convert the value into a sum of 1 percent to obtain a first pollution contribution ratio of each rearrangement unit to the target national control station.
Based on the first pollution contribution ratio, the pollutant discharge amount required to be controlled in the whole preset area range is combined, and the pollutant discharge amount required to be controlled in each grid can be determined, so that the purpose of global control is achieved.
Therefore, according to pollutant observation data obtained by the observation of the target national control station and grid data obtained by statistics, specific time and area of pollutant emission and emission quantity of each grid which is specifically required to be controlled can be directly predicted, so that overall control of pollutants is realized, the cost for determining a control scheme is reduced, and the accuracy of the control scheme is improved.
Next, referring to fig. 4, fig. 4 is a flowchart of a method for managing a contaminant neighborhood according to an embodiment of the present application, where the method for managing a contaminant neighborhood may include the following steps:
step S401: and acquiring pollutant observation data of the target national control station and grid data corresponding to grids in a preset area range corresponding to the target national control station.
Step S402: and determining the predicted pollution time of the target national control station according to the pollutant observation data.
Step S403: and determining pollutant discharge amounts of the re-arranged grids in all grids in the preset area range and grid coordinates in the predicted pollution time according to the grid data.
Step S404: and determining a first pollution contribution ratio of each re-emission grid to the target national control station according to the pollutant emission amount, the grid coordinates, the target national control station coordinates and the meteorological element data of each re-emission grid.
Step S405: and determining a plurality of neighborhoods corresponding to the target national control station.
Step S406: and determining a second pollution contribution ratio of each neighborhood to the target national control station according to the first pollution contribution ratio so as to control the target national control station according to the second pollution contribution ratio.
Specifically, the steps S401 to S404 are similar to the specific implementation manners of the steps S301 to S304 in the foregoing embodiments, and are not repeated herein.
After the above step S404, a plurality of neighborhoods of the target national control station may be determined, wherein the neighborhood of the target national control station refers to an area within a certain range around the target national control station. As an implementation manner, the area within 30 km of the target national control station can be divided into 24 areas by taking the target national control station as the center of a circle, and the division manner is as follows: firstly, dividing the area into three concentric circles with the radius of 10 km, the radius of 20 km and the radius of 30 km, and dividing each concentric circle into eight parts on average, 24 polygonal areas can be obtained. It will be appreciated that these 24 polygonal areas may be considered as 24 neighbors of the target national control station.
Then, from the re-emission meshes within the 24 neighborhood regions, a second pollution contribution ratio for each neighborhood region may be determined from the area it occupies within each neighborhood region and the first pollution contribution ratio for each re-emission mesh.
For example, if a neighborhood is exactly a heavy discharge grid, then the second pollution contribution ratio of the neighborhood is equal to the first pollution contribution ratio of the heavy discharge grid; a neighborhood comprises half of one re-arrangement grid and half of the other re-arrangement grid, the second pollution contribution ratio of the neighborhood is equal to half of the first pollution contribution ratio of the first re-arrangement grid plus half of the first pollution contribution ratio of the second re-arrangement grid.
And finally, determining the total emission reduction amount corresponding to the target national control station according to the pollutant observation data and the grid data, and determining the pollutant emission amount to be regulated and controlled in each neighborhood according to the total emission reduction amount and the second pollution contribution ratio, so that the purpose of neighborhood management and control is achieved.
Therefore, the second pollution contribution ratio of a plurality of neighborhoods of the target national control station can be determined based on the first pollution contribution ratio of each re-emission grid to the target national control station, so that the control scheme can be determined according to the second pollution contribution ratio, and the neighborhood control of pollutants is realized.
Referring to fig. 5, fig. 5 is a block diagram of a pollutant controlling apparatus according to an embodiment of the present application, where the pollutant controlling apparatus 500 may include: the first obtaining module 501 is configured to obtain pollutant observation data of a target national control station and grid data corresponding to grids in a preset area range corresponding to the target national control station; wherein the preset area range is divided into a plurality of grids; a first determining module 502, configured to determine a predicted pollution time of the target national control station according to the pollutant observation data; a second determining module 503, configured to determine, according to the grid data, a pollutant discharge amount of a re-placed grid and grid coordinates in all grids within the preset area within the predicted pollution time; a third determining module 504, configured to determine a first pollution contribution ratio of each re-emission grid to the target national control station according to the pollutant emission amount, the grid coordinates, the target national control station coordinates, and the meteorological element data of each re-emission grid, so as to control the target national control station according to the first pollution contribution ratio.
According to the embodiment of the application, the specific time and the area of pollutant emission and the emission amount of each grid, which are specifically required to be controlled, can be directly predicted according to the pollutant observation data obtained by the target national control station observation and the grid data obtained by statistics, so that the overall control of the pollutants is realized, the cost for determining a control scheme is reduced, and the accuracy of the control scheme is improved.
Further, the second determining module 503 is specifically configured to: traversing grid data of all grids at each moment in a preset time period before each pollution moment aiming at each pollution moment in the predicted pollution time; and determining a re-emission grid corresponding to each moment in the preset time period according to the grid data, and the pollutant emission amount and the grid coordinates of each re-emission grid.
In the embodiment of the application, the re-emission network in a certain period of time can be obtained according to the grid data obtained through statistics, so that the control scheme can be determined according to the pollutant emission amount of the re-emission network.
Further, the pollutant control device 500 further includes: and the fourth determining module is used for determining the length of the preset time period according to the size of the preset area range and the meteorological element data.
In an embodiment of the present application, the length of a preset time period from the discharge of the pollutant to the transmission to the target national control station may be considered based on the preset area range size and the environmental data to determine the control scheme based on the preset time period.
Further, the third determining module 504 is specifically configured to: determining the position reached by the pollutant transmission of the re-emission grid in the preset time period according to the grid coordinates of each re-emission grid and the meteorological element data; determining pollutant emission in a preset range of the target national control station transmitted at each pollution time according to the position reached by the pollutant transmission and the target national control station coordinates; determining the pollutant concentration in the preset range transmitted to the target national control station in the predicted pollution time according to the pollutant emission amount; the first pollution contribution ratio is determined from the pollutant concentration and the pollutant discharge amount.
In an embodiment of the application, a first pollution contribution ratio of each re-emission grid to the target national control station is determined according to an amount of pollutants that each re-emission grid can transmit to the target national control station within a period of time, so as to determine a control scheme according to the first pollution contribution ratio.
Further, the pollutant control device 500 further includes: a fifth determining module, configured to determine a plurality of neighborhoods corresponding to the target national control station; and a sixth determining module, configured to determine a second pollution contribution ratio of each neighborhood to the target national control station according to the first pollution contribution ratio, so as to control the target national control station according to the second pollution contribution ratio.
In the embodiment of the application, the second pollution contribution ratio of a plurality of neighborhoods of the target national control station can be determined based on the first pollution contribution ratio of each re-emission grid to the target national control station, so that the control scheme can be determined according to the second pollution contribution ratio, and the neighborhood control of pollutants is realized.
Further, the pollutant controlling apparatus 500 further includes: a seventh determining module, configured to determine, according to the pollutant observation data and the grid data, a total emission reduction amount corresponding to the target national control station; and an eighth determining module, configured to determine, according to the total emission reduction amount and the second pollution contribution ratio, a pollutant emission amount to be regulated and controlled in each neighborhood.
Referring to fig. 6, fig. 6 is a block diagram of a prediction management device according to an embodiment of the present application, where the prediction management device 600 may include: a second obtaining module 601, configured to obtain a transmission contribution concentration and a local contribution concentration of a target national control station; a first determining module 602, configured to determine the transmission contribution concentration and the magnitude of the local contribution concentration; a first management module 603 for performing the contaminant management method according to any of the previous embodiments if the transmission contribution concentration is less than the local contribution concentration; otherwise, the contaminant management method as described in the previous embodiment is performed.
In the embodiment of the application, the global management and control or the neighborhood management and control can be selected to be performed on the target area by carrying out contribution analysis on the pollution source, so that a more proper management and control scheme can be determined according to actual conditions.
Referring to fig. 7, fig. 7 is a block diagram of a real-time management and control device according to an embodiment of the present application, where the real-time management and control device 700 may include: a third obtaining module 701, configured to obtain current observation data of a target national control station; a second judging module 702, configured to judge whether a preset condition is met according to the current observation data and the prediction data; the second control module 703 is configured to execute the contaminant control method according to the foregoing embodiment when the preset condition is satisfied.
In the embodiment of the application, whether the target area needs to be managed and controlled in real time can be determined according to the current observation data of the target national control station, and the neighborhood management and control is adopted when the target area needs to be managed and controlled, so that the influence of pollutants is timely reduced.
Further, the preset conditions include: the current observed data is larger than a first preset threshold value; the current observed data is smaller than the first preset threshold value and larger than a second preset threshold value; the difference value between the current observed data and the predicted data is larger than a third preset threshold value; or the difference value between the current observed data and the predicted data is smaller than the third preset threshold value, and the pollutant data at the next moment determined according to the current observed data and the predicted data is larger than the first preset threshold value.
Referring to fig. 8, fig. 8 is a block diagram of an electronic device according to an embodiment of the present application, where the electronic device 800 includes: at least one processor 801, at least one communication interface 802, at least one memory 803, and at least one communication bus 804. Where communication bus 804 is used to enable direct connection communication of these components, communication interface 802 is used for signaling or data communication with other node devices, and memory 803 stores machine readable instructions executable by processor 801. When the electronic device 800 is in operation, the processor 801 and the memory 803 communicate via the communication bus 804, and the machine readable instructions when invoked by the processor 801 perform the contaminant management method, predictive management method, or real-time management method described above.
For example, the processor 801 of the embodiment of the present application reads a computer program from the memory 803 through the communication bus 804 and executes the computer program may implement the following method: step S301: and acquiring pollutant observation data of the target national control station and grid data corresponding to grids in a preset area range corresponding to the target national control station. Step S302: and determining the predicted pollution time of the target national control station according to the pollutant observation data. Step S303: and determining pollutant discharge amounts of the re-arranged grids in all grids in the preset area range and grid coordinates in the predicted pollution time according to the grid data. Step S304: and determining a first pollution contribution ratio of each re-emission grid to the target national control station according to the pollutant emission amount of each re-emission grid, the grid coordinates, the target national control station coordinates and the meteorological element data, so as to control the target national control station according to the first pollution contribution ratio. In some examples, the processor 801 may also update the configuration items, that is, may perform the following steps: step S401: and acquiring pollutant observation data of the target national control station and grid data corresponding to grids in a preset area range corresponding to the target national control station. Step S402: and determining the predicted pollution time of the target national control station according to the pollutant observation data. Step S403: and determining pollutant discharge amounts of the re-arranged grids in all grids in the preset area range and grid coordinates in the predicted pollution time according to the grid data. Step S404: and determining a first pollution contribution ratio of each re-emission grid to the target national control station according to the pollutant emission amount, the grid coordinates, the target national control station coordinates and the meteorological element data of each re-emission grid. Step S405: and determining a plurality of neighborhoods corresponding to the target national control station. Step S406: and determining a second pollution contribution ratio of each neighborhood to the target national control station according to the first pollution contribution ratio so as to control the target national control station according to the second pollution contribution ratio.
The processor 801 may be an integrated circuit chip with signal processing capabilities. The processor 801 may be a general-purpose processor including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), and the like; but also digital signal processors (Digital Signal Processing, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. Which may implement or perform the various methods, steps, and logical blocks disclosed in embodiments of the application. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The Memory 803 may include, but is not limited to, random access Memory (Random Access Memory, RAM), read Only Memory (ROM), programmable Read Only Memory (Programmable Read-Only Memory, PROM), erasable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), electrically erasable Read Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), and the like.
It is to be understood that the configuration shown in fig. 8 is merely illustrative, and that electronic device 800 may also include more or fewer components than those shown in fig. 8, or have a different configuration than that shown in fig. 8. The components shown in fig. 8 may be implemented in hardware, software, or a combination thereof. In the embodiment of the present application, the electronic device 800 may be, but is not limited to, a physical device such as a desktop, a notebook, a smart phone, an intelligent wearable device, a vehicle-mounted device, or a virtual device such as a virtual machine. In addition, the electronic device 800 is not necessarily a single device, and may be a combination of a plurality of devices, for example, a server cluster, or the like.
An embodiment of the present application further provides a computer program product, including a computer program stored on a non-transitory computer readable storage medium, the computer program including program instructions which, when executed by a computer, enable the computer to perform the steps of the contaminant management method, the prediction management method, or the real-time management method in the above embodiment, including, for example: obtaining pollutant observation data of a target national control station and grid data corresponding to grids in a preset area range corresponding to the target national control station; wherein the preset area range is divided into a plurality of grids; determining the predicted pollution time of the target national control station according to the pollutant observation data; determining pollutant discharge amounts of the re-arranged grids in all grids in the preset area range and grid coordinates in the predicted pollution time according to the grid data; and determining a first pollution contribution ratio of each re-emission grid to the target national control station according to the pollutant emission amount, grid coordinates, target national control station coordinates and meteorological element data of each re-emission grid, so as to control the target national control station according to the first pollution contribution ratio.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
Further, the units described as separate units may or may not be physically separate, and units displayed as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
Furthermore, functional modules in various embodiments of the present application may be integrated together to form a single portion, or each module may exist alone, or two or more modules may be integrated to form a single portion.
It should be noted that the functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM) random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and variations will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims (13)

1. A method of contaminant management comprising:
obtaining pollutant observation data of a target national control station and grid data corresponding to grids in a preset area range corresponding to the target national control station; wherein the preset area range is divided into a plurality of grids;
determining the predicted pollution time of the target national control station according to the pollutant observation data;
determining pollutant discharge amounts of the re-arranged grids in all grids in the preset area range and grid coordinates in the predicted pollution time according to the grid data;
determining a first pollution contribution ratio of each re-emission grid to the target national control station according to pollutant emission quantity, grid coordinates, target national control station coordinates and meteorological element data of each re-emission grid, so as to control the target national control station according to the first pollution contribution ratio;
The determining the first pollution contribution ratio of each re-emission grid to the target national control station according to the pollutant emission amount, grid coordinates, target national control station coordinates and meteorological element data of each re-emission grid comprises the following steps:
determining the position reached by the pollutant transmission of the re-emission grid in a preset time period according to the grid coordinates of each re-emission grid and the meteorological element data;
determining pollutant emission in a preset range of the target national control station transmitted at each pollution time according to the position reached by the pollutant transmission and the target national control station coordinates;
determining the pollutant concentration in the preset range transmitted to the target national control station in the predicted pollution time according to the pollutant emission amount;
the first pollution contribution ratio is determined from the pollutant concentration and the pollutant discharge amount.
2. The method of claim 1, wherein determining the pollutant discharge amounts and grid coordinates of the re-arrangement grid among all grids within the preset area within the predicted pollution time based on the grid data comprises:
Traversing grid data of all grids at each moment in the preset time period before each pollution moment aiming at each pollution moment in the predicted pollution time;
and determining a re-emission grid corresponding to each moment in the preset time period according to the grid data, and the pollutant emission amount and the grid coordinates of each re-emission grid.
3. The method of claim 2, wherein prior to traversing the grid data for all grids at each time instant within a preset time period prior to said traversing said each time instant for each time instant within said predicted time instant, said method further comprises:
and determining the length of the preset time period according to the size of the preset area range and the meteorological element data.
4. A pollutant control method according to any one of claims 1 to 3, and wherein after the determining a first pollution contribution ratio of each re-emission grid to the target national control station from the pollutant emission amount of each re-emission grid, grid coordinates, target national control station coordinates, and meteorological element data, the method further comprises:
Determining a plurality of neighborhoods corresponding to the target national control station;
and determining a second pollution contribution ratio of each neighborhood to the target national control station according to the first pollution contribution ratio so as to control the target national control station according to the second pollution contribution ratio.
5. The contaminant management method of claim 4, wherein after said determining a second contaminant contribution ratio for each neighborhood to the target national control station from the first contaminant contribution ratio, the method further comprises:
determining the total emission reduction amount corresponding to the target national control station according to the pollutant observation data and the grid data;
and determining pollutant discharge amount to be regulated and controlled in each neighborhood according to the total emission reduction amount and the second pollution contribution ratio.
6. A predictive management and control method, comprising:
acquiring transmission contribution concentration and local contribution concentration of a target national control station;
judging the transmission contribution concentration and the magnitude of the local contribution concentration;
if the transmission contribution concentration is smaller than the local contribution concentration, controlling the target national control station according to a first pollution contribution ratio; otherwise, controlling the target national control station according to the second pollution contribution ratio;
Wherein the first pollution contribution ratio is determined according to the pollutant management method of any one of claims 1-3 and the second pollution contribution ratio is determined according to the pollutant management method of claim 4 or 5.
7. A method for real-time management and control, comprising:
acquiring current observation data of a target national control station;
judging whether preset conditions are met or not according to the current observation data and the prediction data;
when the preset condition is met, controlling the target national control station according to the second pollution contribution ratio;
wherein the second pollution contribution ratio is determined according to the pollutant management method of claim 4 or 5.
8. The method of claim 7, wherein the preset conditions include:
the current observed data is larger than a first preset threshold value;
the current observed data is smaller than the first preset threshold value and larger than a second preset threshold value;
the difference value between the current observed data and the predicted data is larger than a third preset threshold value; or alternatively, the process may be performed,
the difference value between the current observation data and the prediction data is smaller than the third preset threshold value, and the pollutant data at the next moment determined according to the current observation data and the prediction data is larger than the first preset threshold value.
9. A contaminant management and control apparatus, comprising:
the first acquisition module is used for acquiring pollutant observation data of a target national control station and grid data corresponding to grids in a preset area range corresponding to the target national control station; wherein the preset area range is divided into a plurality of grids;
the first determining module is used for determining the predicted pollution time of the target national control station according to the pollutant observation data;
the second determining module is used for determining pollutant discharge amounts of the re-arranged grids in the preset area range and grid coordinates in the predicted pollution time according to the grid data;
the third determining module is used for determining a first pollution contribution ratio of each re-emission grid to the target national control station according to the pollutant emission amount, grid coordinates, target national control station coordinates and meteorological element data of each re-emission grid so as to control the target national control station according to the first pollution contribution ratio;
the determining the first pollution contribution ratio of each re-emission grid to the target national control station according to the pollutant emission amount, grid coordinates, target national control station coordinates and meteorological element data of each re-emission grid comprises the following steps:
Determining the position reached by the pollutant transmission of the re-emission grid in a preset time period according to the grid coordinates of each re-emission grid and the meteorological element data;
determining pollutant emission in a preset range of the target national control station transmitted at each pollution time according to the position reached by the pollutant transmission and the target national control station coordinates;
determining the pollutant concentration in the preset range transmitted to the target national control station in the predicted pollution time according to the pollutant emission amount;
the first pollution contribution ratio is determined from the pollutant concentration and the pollutant discharge amount.
10. A predictive management and control apparatus, comprising:
the second acquisition module is used for acquiring the transmission contribution concentration and the local contribution concentration of the target national control station;
a first judging module, configured to judge the transmission contribution concentration and the local contribution concentration;
the first control module is used for controlling the target national control station according to a first pollution contribution ratio if the transmission contribution concentration is smaller than the local contribution concentration; otherwise, controlling the target national control station according to the second pollution contribution ratio;
Wherein the first pollution contribution ratio is determined according to the pollutant management method of any one of claims 1-3 and the second pollution contribution ratio is determined according to the pollutant management method of claim 4 or 5.
11. A real-time management and control device, comprising:
the third acquisition module is used for acquiring current observation data of the target national control station;
the second judging module is used for judging whether preset conditions are met or not according to the current observation data and the prediction data;
the second control module is used for controlling the target national control station according to a second pollution contribution ratio when the preset condition is met;
wherein the second pollution contribution ratio is determined according to the pollutant management method of claim 4 or 5.
12. An electronic device, comprising: a processor, a memory, and a bus;
the processor and the memory complete communication with each other through the bus;
the memory stores program instructions executable by the processor, the processor invoking the program instructions to be able to perform the contaminant management method of any of claims 1-5, the predictive management method of claim 6, or the real-time management method of claim 7 or 8.
13. A non-transitory computer readable storage medium storing computer instructions which, when executed by a computer, cause the computer to perform the contaminant management method of any one of claims 1-5, the predictive management method of claim 6, or the real-time management method of claim 7 or 8.
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CN114974452B (en) * 2022-05-24 2023-03-28 北京中科三清环境技术有限公司 Method and device for determining control target of secondary conversion source
CN116307258B (en) * 2023-05-08 2023-08-11 中科三清科技有限公司 Pollution source abnormal emission determination method and device, storage medium and electronic equipment
CN116228502B (en) * 2023-05-08 2023-08-04 中科三清科技有限公司 Heavy point pollution source emission correction method and device, storage medium and electronic equipment
CN116757508B (en) * 2023-08-14 2023-11-24 中科三清科技有限公司 Method, device and storage medium for determining effect of road management and control measures
CN116739190B (en) * 2023-08-14 2023-12-01 中科三清科技有限公司 Method for optimizing emission reduction ratio, emission reduction cost and control time of pollution control

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108182491A (en) * 2017-12-27 2018-06-19 宇星科技发展(深圳)有限公司 The real-time source resolution localization method of airborne fine particulate matter (PM2.5)
CN111444633A (en) * 2020-04-20 2020-07-24 中国科学院大气物理研究所 Quantitative analysis method and system for atmospheric pollution process
CN111611296A (en) * 2020-05-20 2020-09-01 中科三清科技有限公司 PM2.5Pollution cause analysis method and device, electronic equipment and storage medium
CN111814111A (en) * 2020-05-25 2020-10-23 南京大学环境规划设计研究院股份公司 Industrial park atmospheric pollutant tracing method
CN112418609A (en) * 2020-10-30 2021-02-26 暨南大学 Surface-grid-point-based accurate tracing method for secondary atmospheric pollution
CN112513896A (en) * 2018-08-25 2021-03-16 山东诺方电子科技有限公司 Method for predicting atmospheric pollution
CN112509288A (en) * 2020-09-28 2021-03-16 北京英视睿达科技有限公司 Monitoring method and device for atmospheric pollution, electronic equipment and medium

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108182491A (en) * 2017-12-27 2018-06-19 宇星科技发展(深圳)有限公司 The real-time source resolution localization method of airborne fine particulate matter (PM2.5)
CN112513896A (en) * 2018-08-25 2021-03-16 山东诺方电子科技有限公司 Method for predicting atmospheric pollution
CN111444633A (en) * 2020-04-20 2020-07-24 中国科学院大气物理研究所 Quantitative analysis method and system for atmospheric pollution process
CN111611296A (en) * 2020-05-20 2020-09-01 中科三清科技有限公司 PM2.5Pollution cause analysis method and device, electronic equipment and storage medium
CN111814111A (en) * 2020-05-25 2020-10-23 南京大学环境规划设计研究院股份公司 Industrial park atmospheric pollutant tracing method
CN112509288A (en) * 2020-09-28 2021-03-16 北京英视睿达科技有限公司 Monitoring method and device for atmospheric pollution, electronic equipment and medium
CN112418609A (en) * 2020-10-30 2021-02-26 暨南大学 Surface-grid-point-based accurate tracing method for secondary atmospheric pollution

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
Simulation of urban and regional air pollution in Bangladesh;Muntaseer Ibn Azkar,等;《Journal of Geophysical Research Atmospheres》;第117卷(第7期);第1-23页 *
Spatiotemporal trends of PM2.5 concentrations and typical regional pollutant transport during 2015–2018 in China;Liwen Liu,等;《Urban Climate》;第34卷;第1-17页 *
基于WRF-CMAQ模式的沈阳市大气污染特征研究;杜勃莹;《中国优秀硕士学位论文全文数据库工程科技Ⅰ辑》(第4期);第B027-292页 *
基于区域多尺度空气质量模型对杭州市大气污染的模式研究;吴小芳;《中国优秀硕士学位论文全文数据库工程科技Ⅰ辑》(第6期);第B027-60页 *

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