CN113393058A - Pollutant management and control method, prediction management and control method, real-time management and control method and device - Google Patents

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

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CN113393058A
CN113393058A CN202110796847.5A CN202110796847A CN113393058A CN 113393058 A CN113393058 A CN 113393058A CN 202110796847 A CN202110796847 A CN 202110796847A CN 113393058 A CN113393058 A CN 113393058A
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CN113393058B (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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Abstract

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

Description

Pollutant management and control method, prediction management and control method, real-time management and control method and device
Technical Field
The application relates to the field of pollutant management and control, in particular to a pollutant management and control method, a prediction management and control method, a real-time management and control method and a device.
Background
In the prior art, the technical means of combining pollution source analysis and manual correction is mainly adopted for realizing pollutant management and control. Firstly, forecasting the change trend of future air quality by using the forecasting result of the air quality mode, and then analyzing a main pollution source formed by heavy pollution by using a source analysis module. And then, the professional formulates a control strategy by using professional knowledge and artificial experience through the prediction and source analysis results of the air quality mode.
In the pollutant control process, a specific control scheme cannot be determined through program operation, and manual experience is required, so that the cost for determining the control scheme is high, and the accuracy of the determined control scheme is low.
Disclosure of Invention
An object of the embodiments of the present application is to provide a pollutant management and control method, a prediction management and control method, a real-time management and control method, and a device, so as to solve the technical problems that the cost of determining a management and control scheme is high and the accuracy of the determined management and control scheme is low.
In a first aspect, an embodiment of the present application provides a pollutant control method, including: acquiring pollutant observation data of a target national control station and grid data corresponding to a grid 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 amount and grid coordinates of the rearranged grids in all grids in the preset area range within the predicted pollution time according to the grid data; and determining a first pollution contribution ratio of each heavy discharge grid to the target national control station according to the pollutant discharge amount, grid coordinates, target national control station coordinates and meteorological element data of each heavy discharge grid, and managing and controlling the target national control station according to the first pollution contribution ratio. According to the scheme, the specific time and the specific area of pollutant emission and the specific emission amount of each grid which needs to be controlled can be directly predicted according to the pollutant observation data obtained by observing the target national control station and the grid data obtained by statistics, so that 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.
In an alternative embodiment, the determining, according to the grid data, pollutant emission amounts and grid coordinates of rearranged grids in all grids within the preset area range in the predicted pollution time includes: 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 the re-discharging grids corresponding to each moment in the preset time period, the pollutant discharge amount of each re-discharging grid and the grid coordinates according to the grid data. In the above scheme, the heavy discharge network within a certain period of time can be obtained according to the grid data obtained by statistics, so that the control scheme can be determined according to the pollutant discharge amount of the heavy discharge network.
In an optional embodiment, before traversing the mesh data of all meshes at each time instant within a preset time period before the each polluted time instant for each polluted time instant within the predicted polluted time, the 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. In the above-described aspects, the length of the preset time period for the pollutants to be discharged from the discharge to the target domestic 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 a first pollution contribution ratio of each heavy emission grid to the target domestic control station according to the pollutant emission amount, grid coordinates, target domestic control station coordinates and meteorological element data of each heavy emission grid comprises: determining the position of the pollutant discharged by the heavy discharge grids in the preset time period in the transmission arrival according to the grid coordinates of each heavy discharge grid and the meteorological element data; determining the pollutant discharge amount within a preset range of the pollutant transmission arrival at the target national control station at each pollution moment according to the position of the pollutant transmission arrival and the target national control station coordinate; determining the pollutant concentration reaching the target national control station within the preset range within the predicted pollution time according to the pollutant emission amount; determining the first pollution contribution ratio according to the pollutant concentration and the pollutant emission. In the scheme, a first pollution contribution ratio of each heavy emission grid to the target national control station is determined according to the pollutant quantity which can be transmitted to the target national control station by each heavy emission grid within a period of time, so that a management and control scheme is determined according to the first pollution contribution ratio.
In an alternative embodiment, after the determining the first pollution contribution ratio of each heavy emission grid to the target domestic control station according to the pollutant emission amount, grid coordinates, target domestic control station coordinates and meteorological element data of each heavy emission grid, the method further comprises: determining a plurality of neighborhoods corresponding to the target state 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 manage and control the target national control station according to the second pollution contribution ratio. In the above 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 heavy emission grid to the target national control station, so that a control scheme can be determined according to the second pollution contribution ratios, and neighborhood control of pollutants is realized.
In an optional embodiment, after the determining a second pollution contribution ratio of each neighborhood to the target domestic control station according to the first pollution contribution ratio, the method further comprises: determining the emission reduction total 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 emission reduction total 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 the transmission contribution concentration and the local contribution concentration of a target national control station; judging the transmission contribution concentration and the local contribution concentration; performing a pollutant management method according to any one of the preceding embodiments if the transmission contribution concentration is less than the local contribution concentration; otherwise, a contamination management method as described in the previous embodiments is performed. In the above scheme, by performing 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 appropriate 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 state 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 management method according to the previous embodiment is performed. In the scheme, whether the target area needs to be controlled in real time or not can be determined according to the current observation data of the target state control station, and a neighborhood control scheme is provided when needed, so that the influence of pollutants is timely reduced.
In an alternative embodiment, the preset conditions include: the current observation data is larger than a first preset threshold value; the current observation data is smaller than the first preset threshold and larger than a second preset threshold; the difference value between the current observation data and the prediction data is larger than a third preset threshold value; or the difference value between the current observation data and the prediction data is smaller than the third preset threshold, 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.
In a fourth aspect, an embodiment of the present application provides a pollutant management and control device, including: the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein 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 determination module is used for determining the predicted pollution time of the target national control station according to the pollutant observation data; the second determination module is used for determining the pollutant discharge amount and grid coordinates of the rearranged grids in all the grids in the preset area range within 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 heavy discharge grid to the target national control station according to the pollutant discharge amount of each heavy discharge grid, the grid coordinate, the target national control station coordinate and meteorological element data, so as to control the target national control station according to the first pollution contribution ratio. According to the scheme, the specific time and the specific area of pollutant emission and the specific emission amount of each grid which needs to be controlled can be directly predicted according to the pollutant observation data obtained by observing the target national control station and the grid data obtained by statistics, so that 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.
In an optional embodiment, the second determining module is specifically configured to: 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 the re-discharging grids corresponding to each moment in the preset time period, the pollutant discharge amount of each re-discharging grid and the grid coordinates according to the grid data. In the above scheme, the heavy discharge network within a certain period of time can be obtained according to the grid data obtained by statistics, so that the control scheme can be determined according to the pollutant discharge amount of the heavy discharge network.
In an optional embodiment, the pollutant management and control device 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 aspects, the length of the preset time period for the pollutants to be discharged from the discharge to the target domestic 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 optional embodiment, the third determining module is specifically configured to: determining the position of the pollutant discharged by the heavy discharge grids in the preset time period in the transmission arrival according to the grid coordinates of each heavy discharge grid and the meteorological element data; determining the pollutant discharge amount within a preset range of the pollutant transmission arrival at the target national control station at each pollution moment according to the position of the pollutant transmission arrival and the target national control station coordinate; determining the pollutant concentration reaching the target national control station within the preset range within the predicted pollution time according to the pollutant emission amount; determining the first pollution contribution ratio according to the pollutant concentration and the pollutant emission. In the scheme, a first pollution contribution ratio of each heavy emission grid to the target national control station is determined according to the pollutant quantity which can be transmitted to the target national control station by each heavy emission grid within a period of time, so that a management and control scheme is determined according to the first pollution contribution ratio.
In an optional embodiment, the pollutant management and control device further comprises: a fifth determining module, configured to determine multiple neighborhoods corresponding to the target national control station; and the sixth determining module is used for 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 manage and control the target national control station according to the second pollution contribution ratio. In the above 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 heavy emission grid to the target national control station, so that a control scheme can be determined according to the second pollution contribution ratios, and neighborhood control of pollutants is realized.
In an optional embodiment, the pollutant controlling device further comprises: a seventh determining module, configured to determine, according to the pollutant observation data and the grid data, an emission reduction total amount corresponding to the target national control station; and the eighth determining module is used for determining the pollutant emission amount to be regulated and controlled in each neighborhood according to the emission reduction total amount and the second pollution contribution ratio.
In a fifth aspect, an embodiment of the present application provides a prediction management and control apparatus, including: the second acquisition module is used for acquiring the transmission contribution concentration and the local contribution concentration of the target national control station; the first judgment module is used for judging the transmission contribution concentration and the local contribution concentration; a first management and control module, configured to execute the pollutant management and control method according to the first to the fourth aspects of the foregoing first aspect if the transmission contribution concentration is smaller than the local contribution concentration; otherwise, the pollutant management and control method according to the fifth to sixth aspects is performed. In the above scheme, by performing 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 appropriate 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 device, including: the third acquisition module is used for acquiring current observation data of the target national control station; the second judgment module is used for judging whether preset conditions are met according to the current observation data and the prediction data; a second management and control module, configured to execute the pollutant management and control method according to the fifth to sixth aspects when the preset condition is met. In the scheme, whether the target area needs to be controlled in real time or not can be determined according to the current observation data of the target state control station, and a neighborhood control scheme is provided when needed, so that the influence of pollutants is timely reduced.
In an alternative embodiment, the preset conditions include: the current observation data is larger than a first preset threshold value; the current observation data is smaller than the first preset threshold and larger than a second preset threshold; the difference value between the current observation data and the prediction data is larger than a third preset threshold value; or the difference value between the current observation data and the prediction data is smaller than the third preset threshold, 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.
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 are communicated with each other through the bus; the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform a pollution management method according to any one of the preceding embodiments, a prediction management method according to the preceding embodiments, or a 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 which, when executed by a computer, cause the computer to perform a pollution management method according to any one of the preceding embodiments, a prediction management method according to the preceding embodiments, or a 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 required to be used 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 therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a flowchart of a prediction management and control method according to an embodiment of the present disclosure;
fig. 2 is a flowchart of a real-time management and control method according to an embodiment of the present disclosure;
fig. 3 is a flowchart of a method for global pollutant control according to an embodiment of the present disclosure;
fig. 4 is a flowchart of a method for neighborhood management and control of a pollutant according to an embodiment of the present disclosure;
fig. 5 is a block diagram illustrating a pollutant controlling device according to an embodiment of the present disclosure;
fig. 6 is a block diagram illustrating a prediction management and control apparatus according to an embodiment of the present disclosure;
fig. 7 is a block diagram of a real-time management and control apparatus according to an embodiment of the present disclosure;
fig. 8 is a block diagram of an electronic device according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
The pollutant management and control scheme provided by the embodiment of the application mainly comprises two parts, namely prediction management and control and real-time management and control. The prediction management and control means that according to the prediction of the pollutant concentration, the pollutant emission of a target area within a period of time in the future is managed and controlled; the real-time control refers to the control of the current real-time pollutant emission according to the pollutant concentration observed in real time. The following describes the prediction management and control and the real-time management and control in turn.
First, referring to fig. 1, fig. 1 is a flowchart of a prediction management and control method according to an embodiment of the present application, where the prediction management and control method includes the following steps:
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 governing scheme is provided.
Specifically, for a preset area range, the preset area range may be divided into a plurality of grids (the size of the grids may be determined according to actual conditions), wherein a part of the grids are provided with national control stations (the number and the positions of the national control stations may also be determined according to actual conditions) for observing data such as pollutant concentration and wind speed of the grids. That is, for a predetermined area, the data relating to the contaminant may include two parts: and observing pollutant observation data observed by the national control station, and counting the pollutant emission amount of each grid and the coordinates of the grids.
As an embodiment, the preset area range may be implemented in various ways, for example: one seems to be a predetermined area range; alternatively, an administrative area is a preset area range, and the like, which is not specifically limited in the embodiments of the present application.
It can be understood that there are various ways for the electronic device to obtain the data related to the contaminants, such as: receiving data sent by other equipment; or, directly read the stored data from the cloud database, and the like, which is not specifically limited in the embodiment of the present application.
After the data related to the pollutants is obtained, 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, and a pollutant concentration prediction result corresponding to the target national control station is obtained. Then, based on the pollutant concentration prediction result, pollution source contribution analysis can be carried out on the target national control station.
It is to be understood that, the prediction of the concentration of the pollutant and the analysis of the contribution of the pollutant may adopt the schemes in the prior art, and those skilled in the art may make appropriate selections according to the actual situation, which is not specifically limited in the embodiments of the present application.
In the process of analyzing the contribution of the pollution source, the electronic device may obtain the transmission contribution concentration and the local contribution concentration of the target national control station, and determine a magnitude relation between 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, the electronic device may obtain the transmission contribution concentration and the local contribution concentration in various ways, for example: receiving data sent by other equipment; or, directly read the stored data from the cloud database, and the like, which is not specifically 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 relatively large, so that a global control scheme can be provided for a grid where the target national control station is located; correspondingly, if the electronic device determines that the transmission contribution concentration of the target national control station is greater than the local contribution concentration, it indicates that the influence of pollutants discharged by other grids on the target national control station is large, so that a neighborhood management and control scheme can be provided for the grid where the target national control station is located.
The overall management and control refers to the management and control of the pollutant emission amount of each grid in a preset area range, and the neighborhood management and control refers to the management and control of the pollutant emission amount of the grids of the partial areas corresponding to the target state control station. It should be noted that, in the following embodiments, specific implementations of global policing and neighborhood policing will be described in detail, and therefore will not be described here.
In the above scheme, by performing 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 appropriate prediction management and control scheme can be determined according to actual conditions.
Referring to fig. 2, fig. 2 is a flowchart of a real-time management and control method according to an embodiment of the present disclosure, where the real-time management and control method includes the following steps:
step S201: and acquiring current observation data of the target state control station.
Step S202: and judging whether the preset conditions are met according to the current observation data and the prediction data.
Step S203: and when the preset conditions are met, providing a field management and control scheme.
Specifically, the electronic device may obtain current observation data and prediction data of the target national control station, where the obtaining manner has been described in the foregoing embodiments, and is not described herein again. Then, the electronic device can judge whether the preset conditions are met according to the current observation data and the prediction data, and provide a neighborhood management and control scheme when the preset conditions are met.
Wherein the preset condition may include one of the following situations: firstly, the current observation data is larger than a first preset threshold value; secondly, the current observation data is smaller than a first preset threshold and larger than a second preset threshold; thirdly, the difference value between the current observation data and the prediction data is larger than a third preset threshold value; fourthly, the difference value between the current observation data and the prediction data is smaller than a third preset threshold, 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. That is, when the current observation data and the prediction data satisfy any one of the four conditions, a neighborhood management and control scheme may be provided, otherwise, the neighborhood management and control scheme is not managed or the next determination step is performed.
For example, the electronic device may determine whether the current observation data is greater than a first preset threshold, and provide a neighborhood management and control scheme if the current observation data is greater than the first preset threshold; if the current observation data is smaller than the first preset threshold, the electronic device may further determine whether the current observation data is larger than a second preset threshold. If the current observation data are smaller than a second preset threshold value, pollutant management and control are not needed; if the current observation data is larger 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 observation data and the prediction data is larger than a third preset threshold. If the difference value between the current observation data and the prediction data is larger than a third preset threshold value, it is indicated that an abnormal condition (for example, a condition of illegal discharge and the like) may exist, and the electronic device may provide a neighborhood management and control scheme; if the difference between the current observation data and the prediction data is smaller than the third preset threshold, the electronic device may further determine whether 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. 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 higher, 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 small, the pollutant emission does not need to be controlled.
It can be understood that the above-mentioned schemes are only examples provided in the embodiments of the present application, and those skilled in the art can flexibly adjust the real-time control process in combination with the actual situation, and the embodiments of the present application do not specifically limit this. In addition, the magnitude relationship among the first preset threshold, the second preset threshold, and the third preset threshold is not specifically limited in the embodiment of the present application.
In the scheme, whether the target area needs to be controlled in real time or not can be determined according to the current observation data of the target state control station, and a neighborhood control scheme is provided when needed, so that the influence of pollutants is timely reduced.
The global management and control scheme and the neighborhood management and control scheme in the above embodiments are described in detail in turn.
First, referring to fig. 3, fig. 3 is a flowchart of a global pollutant management and control method according to an embodiment of the present application, where the global pollutant management and control method includes the following steps:
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 the pollutant discharge amount and grid coordinates of the rearranged grids in all the grids in the preset area range within the predicted pollution time according to the grid data.
Step S304: and determining a first pollution contribution ratio of each heavy discharge grid to the target national control station according to the pollutant discharge amount, grid coordinates, target national control station coordinates and meteorological element data of each heavy discharge grid, and controlling 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 target state control station comprises historical and real-time pollutant observation data, wherein the pollutant observation data can comprise pollutant concentration, wind speed at each past moment, whether the target state control station exceeds the standard or not, a control range, an influence range and the like. The mesh data may include: the pollutant emission of the grid and the coordinates of the grid. The pollutant observation data are observation data obtained by observing a state control station, and the grid data are statistical data obtained through statistics.
It should be noted that the manner of acquiring the pollutant observation data of the target national control station and the grid data of all grids in the preset area range of the target national control station by the electronic device is similar to the manner of acquiring the data related to the pollutant in the above embodiment, and details are not repeated here.
And determining a prediction result of the pollutant concentration of the target national control station according to the pollutant observation data of the target national control station, and determining the predicted pollution time of the target national control station as t1, t2 and the time duration as delta t according to the prediction result. That is, the pollutant concentration observed by the target national control station is out of standard between the time t1 and the time t 2.
Then, the electronic device may determine, according to the grid data, pollutant emission amounts and grid coordinates of the rearranged grids in all the grids within the preset area range within the predicted pollution time. The step S303 may specifically include the following steps:
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 the re-discharging grids corresponding to each moment in a preset time period, the pollutant discharge amount of each re-discharging grid and grid coordinates according to the grid data.
That is, for each pollution time T between [ T1, T2], the emission amount of all grids at each observation time within a time range (i.e., [ T1-T, T1]) which is before the pollution time T and has the length of the preset time period T is traversed, and the corresponding re-expanded grid at each time 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 meteorological element data. As an embodiment, the meteorological element data may include 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, since there are phenomena of dry sedimentation (due to gravity, brownian motion, etc.) and wet sedimentation (due to rainfall, etc.), an attenuation factor can be added, making the calculated preset time period T more accurate.
After the traversal is complete, a four-dimensional array (Δ T, N, T, 2) can be obtained. Wherein, the value range of Δ t is t1-t 2, which represents each time between t1-t 2; the value range of N is the number of rearranged grids at the current time, for example: if the number of the rearrangement grids at the time t1 is 100, the value range of the time N at the time t1 is 1 to 100, and the 1 st rearrangement grid to the 100 th rearrangement grid is represented; t is a constant value representing a preset time period in the above embodiment; and 2 is the coordinate of the current rearrangement grid, and comprises two data of an x-axis coordinate and a y-axis coordinate.
It is understood that, since the pollutant discharge amount of each grid may be different at different times, for a grid, it may belong to the heavy discharge grid at some times, not belong to the heavy discharge grid at some times, and the number of the heavy discharge grids corresponding to each time is not necessarily the same.
For example, if T1 is 10 points on 5 days of 6 months, T2 is 12 points on 5 days of 6 months, each pollution time T is 1 hour apart, and T is 72 hours, the pollutant discharge amount of all grids is calculated every hour during the period from 10 points on 2 days of 6 months to 10 points on 5 days of 6 months; if the pollutant emission amount of a certain grid at the current moment exceeds a preset threshold value, regarding the grid at the current moment as a re-emission grid; then traversing the period from 11 points on 2 days in 6 months to 11 points on 5 days in 6 months, wherein the pollutant discharge amount of all grids is calculated every other hour; and finally, in the period from 12 points on 2 days in 6 months to 12 points on 5 days in 6 months, the pollutant discharge amount of all grids is calculated every other hour.
The resulting four-dimensional array can be expressed as: (6.5.10 o 'clock, 1, 72 hours, (x1, y1)), (6.5.5.10 o' clock, 2, 72 hours, (x2, y2)), … …, (6.5.5.12 o 'clock, 1, 72 hours, (x3, y3)), (6.5.5.12 o' clock, 2, 72 hours, (x4, y4)), … ….
After obtaining the four-dimensional array in the above embodiment, that is, after determining the pollutant emission amount and grid coordinates of the rearranged grids in all grids within the preset area range within the predicted pollution time, the electronic device may determine the first pollution contribution ratio of each rearranged grid to the target domestic control station based on the data.
As an embodiment, the step S304 may specifically include the following steps:
and determining the position where the pollutant discharged by the heavy discharge grids reaches in the preset time period according to the grid coordinates of each heavy discharge grid and meteorological element data.
And determining the pollutant discharge amount within the preset range of the pollutant transmitted to the target national control station at each pollution moment according to the position where the pollutant is transmitted to and the coordinates of the target national control station.
And determining the pollutant concentration in the preset range reaching the target national control station within the predicted pollution time according to the pollutant discharge amount.
The first pollution contribution ratio is determined according to the pollutant concentration and the pollutant emission amount.
First, the electronic device may calculate to which position all pollutants discharged from the heavy discharge grid determined in the above embodiments may be transferred within the preset time period T.
For example, also assume that T1 is 10 on 5 th day 6 month, T2 is 12 on 5 th day 6 month, and each contamination time T is 1 hour apart and T is 72 hours. For the time period from 10 o ' clock in 2 d 6 month to 10 o ' clock in 5 d 6 month, taking a certain heavy discharge grid as an example, it can be considered that the pollutants discharged from 10 o ' clock in 2 d 6 month are transmitted 72 times at 10 o ' clock in 5 d 6 month, and at this time, the current position of the pollutants discharged from 10 o ' clock in 2 d 6 month can be obtained; the pollutants discharged at 11 o ' clock in 2 o ' clock in 6 th month are transmitted 71 times at 10 o ' clock in 5 th day in 6 th month, and the current position of the pollutants discharged at 10 o ' clock in 2 o ' clock in 6 th month can be obtained; by analogy, 72 positions of 72 pollutants discharged by the re-releasing network from 10 o ' clock at 2 d 6 to 10 o ' clock at 5 d 6 can be obtained at 10 o ' clock at 2 d 6.
The other rearrangement grids at other moments can be calculated by adopting the method, and finally the final position of pollutant transmission in the preset time period T of each rearrangement grid at each moment can be obtained. According to the calculated final position of pollutant transmission in the embodiment, whether the final position of pollutant transmission is within a preset range (for example, three kilometers, ten kilometers and the like) of the target national control station can be judged.
Then, calculating how much pollutants (namely pollutant discharge amount) are transmitted to a preset range of a target national control station in a past preset time period T of a certain heavy discharge grid at a certain time; then, calculating how much pollutants (namely pollutant concentration) of a certain heavy discharge grid are transmitted to a preset range of a target national control station between [ t1, t2 ]; and finally, multiplying the pollutant concentration by the initial pollutant emission amount of the re-emission grids to obtain a numerical value, and combining the numerical values of all the re-emission grids to convert the numerical value into a percentage with the sum of 1 to obtain the first pollution contribution ratio of each re-emission grid to the target national control station.
Based on the first pollution contribution ratio, the pollutant discharge amount to be controlled of each grid can be determined by combining the pollutant discharge amount to be controlled of the whole preset area range, and therefore the purpose of global control is achieved.
Therefore, according to the pollutant observation data observed by the target national control station and the grid data obtained by statistics, the specific time and area of pollutant emission and the specific emission amount of each grid to be controlled can be directly predicted, so that 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.
Referring to fig. 4, fig. 4 is a flowchart of a method for neighborhood management of a pollutant according to an embodiment of the present application, where the method for neighborhood management of a pollutant includes 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 the pollutant discharge amount and grid coordinates of the rearranged grids in all the grids in the preset area range within the predicted pollution time according to the grid data.
Step S404: and determining a first pollution contribution ratio of each heavy discharge grid to the target national control station according to the pollutant discharge amount of each heavy discharge grid, grid coordinates, the coordinates of the target national control station and meteorological element data.
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 manage and control the target national control station according to the second pollution contribution ratio.
Specifically, steps S401 to S404 are similar to the specific implementation of steps S301 to S304 in the above embodiment, and are not described again here.
After step S404, a plurality of neighborhoods of the target domestic control station may be determined, wherein a neighborhood of the target domestic control station refers to an area within a certain range around the target domestic control station. As an embodiment, the target country control station may be used as a center of a circle, and an area within 30 km of the target country control station radius is divided into 24 areas, where the division is as follows: firstly, the area is divided into three concentric circles with the radius of 10 kilometers, the radius of 20 kilometers and the radius of 30 kilometers, and each concentric circle is divided into eight parts on average, so that 24 polygonal areas can be obtained. It is understood that the 24 polygonal regions can be regarded as 24 neighborhoods of the target domestic control station.
Then, from the re-emission grids within the 24 neighbourhood ranges, a second pollution contribution ratio for each neighbourhood may be determined from the area it occupies within each neighbourhood range and the first pollution contribution ratio for each re-emission grid.
For example, if a neighborhood is exactly a re-binning grid, the second pollution contribution ratio of the neighborhood is equal to the first pollution contribution ratio of the re-binning grid; a neighborhood comprising half of one re-emission grid and half of another re-emission grid, the neighborhood having a second pollution contribution ratio equal to half of the first pollution contribution ratio of the first re-emission grid plus half of the first pollution contribution ratio of the second re-emission grid.
And finally, determining the emission reduction total 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 emission reduction total amount and the second pollution contribution ratio, so that the purpose of neighborhood management and control is achieved.
Therefore, the second pollution contribution ratios of a plurality of neighborhoods of the target national control station can be determined based on the first pollution contribution ratio of each heavy emission grid to the target national control station, so that a control scheme can be determined according to the second pollution contribution ratios, and neighborhood control of pollutants is realized.
Referring to fig. 5, fig. 5 is a block diagram illustrating a pollutant controlling device according to an embodiment of the present disclosure, wherein the pollutant controlling device 500 may include: a first obtaining module 501, configured to obtain pollutant observation data of a target national control station and grid data corresponding to a grid 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 domestic control station according to the pollutant observation data; a second determining module 503, configured to determine, according to the grid data, pollutant emission amounts and grid coordinates of rearranged grids in all grids in the preset area range within the predicted pollution time; a third determining module 504, configured to determine, according to the pollutant emission amount of each heavy emission grid, the grid coordinate, the target national control station coordinate, and the meteorological element data, a first pollution contribution ratio of each heavy emission grid to the target national control station, so as to control the target national control station according to the first pollution contribution ratio.
In the embodiment of the application, according to pollutant observation data obtained by observation of a target national control station and grid data obtained by statistics, the specific time and area for pollutant emission and the specific emission amount to be controlled of each grid can be directly predicted, so that the overall control of 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 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 the re-discharging grids corresponding to each moment in the preset time period, the pollutant discharge amount of each re-discharging grid and the grid coordinates according to the grid data.
In the embodiment of the application, the heavy emission network within a certain period of time can be obtained according to the grid data obtained through statistics, so that a management and control scheme can be determined according to the pollutant emission amount of the heavy 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 the embodiment of the present application, the length of the preset time period for the pollutants to be discharged from the discharge to the target domestic control station may be considered based on the preset area range size and the environmental data to determine the management and control scheme based on the preset time period.
Further, the third determining module 504 is specifically configured to: determining the position of the pollutant discharged by the heavy discharge grids in the preset time period in the transmission arrival according to the grid coordinates of each heavy discharge grid and the meteorological element data; determining the pollutant discharge amount within a preset range of the pollutant transmission arrival at the target national control station at each pollution moment according to the position of the pollutant transmission arrival and the target national control station coordinate; determining the pollutant concentration reaching the target national control station within the preset range within the predicted pollution time according to the pollutant emission amount; determining the first pollution contribution ratio according to the pollutant concentration and the pollutant emission.
In the embodiment of the application, a first pollution contribution ratio of each heavy emission grid to the target national control station is determined according to the pollutant quantity which can be transmitted to the target national control station by each heavy emission grid in a period of time, so that a control scheme is determined according to the first pollution contribution ratio.
Further, the pollutant control device 500 further includes: a fifth determining module, configured to determine multiple neighborhoods corresponding to the target national control station; and the sixth determining module is used for 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 manage and control the target national control station according to the second pollution contribution ratio.
In the embodiment of the application, the second pollution contribution ratios of a plurality of neighborhoods of the target national control station can be determined based on the first pollution contribution ratio of each heavy emission grid to the target national control station, so that a control scheme can be determined according to the second pollution contribution ratios, and neighborhood control of pollutants is realized.
Further, the pollutant control device 500 further comprises: a seventh determining module, configured to determine, according to the pollutant observation data and the grid data, an emission reduction total amount corresponding to the target national control station; and the eighth determining module is used for determining the pollutant emission amount to be regulated and controlled in each neighborhood according to the emission reduction total amount and the second pollution contribution ratio.
Referring to fig. 6, fig. 6 is a block diagram illustrating a prediction management apparatus according to an embodiment of the present disclosure, where the prediction management apparatus 600 includes: 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 local contribution concentration; a first management and control module 603 configured to execute the pollutant management and control method according to any one of the foregoing embodiments if the transmission contribution concentration is smaller than the local contribution concentration; otherwise, a contamination management method as described in the previous embodiments is performed.
In the embodiment of the application, by performing contribution analysis on the pollution source, global management and control or neighborhood management and control can be selected for the target area, so that a more appropriate management and control scheme can be determined according to actual conditions.
Referring to fig. 7, fig. 7 is a block diagram illustrating a real-time management and control apparatus 700 according to an embodiment of the present disclosure, where the real-time management and control apparatus 700 includes: a third obtaining module 701, configured to obtain current observation data of the 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; a second management and control module 703, configured to execute the pollutant management and control method according to the foregoing embodiment when the preset condition is met.
In the embodiment of the application, whether the target area needs to be controlled in real time or not can be determined according to the current observation data of the target state control station, and neighborhood control is adopted when needed, so that the influence of pollutants is timely reduced.
Further, the preset conditions include: the current observation data is larger than a first preset threshold value; the current observation data is smaller than the first preset threshold and larger than a second preset threshold; the difference value between the current observation data and the prediction data is larger than a third preset threshold value; or the difference value between the current observation data and the prediction data is smaller than the third preset threshold, 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.
Referring to fig. 8, fig. 8 is a block diagram of an electronic device according to an embodiment of the present disclosure, 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. Wherein the communication bus 804 is used for implementing direct connection communication of these components, the communication interface 802 is used for communicating signaling or data with other node devices, and the memory 803 stores machine readable instructions executable by the processor 801. When the electronic device 800 is operating, the processor 801 communicates with the memory 803 via the communication bus 804, and the machine readable instructions, when invoked by the processor 801, perform the contamination management method, the predictive management method, or the real-time management method described above.
For example, the processor 801 of the embodiment of the present application may read the computer program from the memory 803 through the communication bus 804 and execute the computer program to 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 the pollutant discharge amount and grid coordinates of the rearranged grids in all the grids in the preset area range within the predicted pollution time according to the grid data. Step S304: and determining a first pollution contribution ratio of each heavy discharge grid to the target national control station according to the pollutant discharge amount, grid coordinates, target national control station coordinates and meteorological element data of each heavy discharge grid, and controlling 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 the pollutant discharge amount and grid coordinates of the rearranged grids in all the grids in the preset area range within the predicted pollution time according to the grid data. Step S404: and determining a first pollution contribution ratio of each heavy discharge grid to the target national control station according to the pollutant discharge amount of each heavy discharge grid, grid coordinates, the coordinates of the target national control station and meteorological element data. 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 manage and control the target national control station according to the second pollution contribution ratio.
The processor 801 may be an integrated circuit chip having signal processing capabilities. The Processor 801 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. Which may implement or perform the various methods, steps, and logic blocks disclosed in the embodiments of the present 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, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Read Only Memory (EPROM), an electrically Erasable Read Only Memory (EEPROM), and the like.
It will be appreciated that the configuration shown in fig. 8 is merely illustrative and that electronic device 800 may include more or fewer components than shown in fig. 8 or have a different configuration than shown in fig. 8. The components shown in fig. 8 may be implemented in hardware, software, or a combination thereof. In this embodiment, the electronic device 800 may be, but is not limited to, an entity device such as a desktop, a laptop, a smart phone, an intelligent wearable device, and a vehicle-mounted device, and may also be a virtual device such as a virtual machine. In addition, the electronic device 800 is not necessarily a single device, but may also be a combination of multiple devices, such as a server cluster, and the like.
Embodiments of the present application further provide a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions, which when executed by a computer, the computer is capable of performing the steps of the pollution management method, the prediction management method, or the real-time management method in the above embodiments, for example, including: acquiring pollutant observation data of a target national control station and grid data corresponding to a grid 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 amount and grid coordinates of the rearranged grids in all grids in the preset area range within the predicted pollution time according to the grid data; and determining a first pollution contribution ratio of each heavy discharge grid to the target national control station according to the pollutant discharge amount, grid coordinates, target national control station coordinates and meteorological element data of each heavy discharge grid, and managing and controlling 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 ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
In addition, units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
Furthermore, the functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
It should be noted that the functions, if implemented in the form of software functional modules and sold or used as independent products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
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 changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims (14)

1. A pollutant management and control method, comprising:
acquiring pollutant observation data of a target national control station and grid data corresponding to a grid 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 amount and grid coordinates of the rearranged grids in all grids in the preset area range within the predicted pollution time according to the grid data;
and determining a first pollution contribution ratio of each heavy discharge grid to the target national control station according to the pollutant discharge amount, grid coordinates, target national control station coordinates and meteorological element data of each heavy discharge grid, and managing and controlling the target national control station according to the first pollution contribution ratio.
2. The pollutant management and control method according to claim 1, wherein the determining, according to the grid data, pollutant emission amounts and grid coordinates of rearranged grids in all grids within the preset area range within the predicted pollution time comprises:
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 the re-discharging grids corresponding to each moment in the preset time period, the pollutant discharge amount of each re-discharging grid and the grid coordinates according to the grid data.
3. The pollutant management and control method of claim 2, wherein, before traversing the grid data of all grids at each time within a preset time period before traversing each pollution time within the predicted pollution time, the 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. The pollutant control method according to claim 2, wherein the determining of the first pollution contribution ratio of each heavy emission grid to the target domestic control station according to the pollutant emission amount of each heavy emission grid, grid coordinates, target domestic control station coordinates and meteorological element data comprises:
determining the position of the pollutant discharged by the heavy discharge grids in the preset time period in the transmission arrival according to the grid coordinates of each heavy discharge grid and the meteorological element data;
determining the pollutant discharge amount within a preset range of the pollutant transmission arrival at the target national control station at each pollution moment according to the position of the pollutant transmission arrival and the target national control station coordinate;
determining the pollutant concentration reaching the target national control station within the preset range within the predicted pollution time according to the pollutant emission amount;
determining the first pollution contribution ratio according to the pollutant concentration and the pollutant emission.
5. The pollutant management method of any one of claims 1 to 4, wherein after determining the first pollution contribution ratio of each re-emission grid to the target domestic control station from the pollutant emission amount of each re-emission grid, grid coordinates, target domestic control station coordinates, and meteorological element data, the method further comprises:
determining a plurality of neighborhoods corresponding to the target state 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 manage and control the target national control station according to the second pollution contribution ratio.
6. The pollution management method according to claim 5, wherein after said determining a second pollution contribution ratio of each neighborhood to the target nation control station according to the first pollution contribution ratio, the method further comprises:
determining the emission reduction total 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 emission reduction total amount and the second pollution contribution ratio.
7. A prediction management and control method is characterized by comprising the following steps:
acquiring the transmission contribution concentration and the local contribution concentration of a target national control station;
judging the transmission contribution concentration and the local contribution concentration;
performing a pollutant management method according to any one of claims 1-4 if the transmission contribution concentration is less than the local contribution concentration; otherwise, a method for pollution control according to claim 5 or 6 is performed.
8. A real-time management and control method is characterized by comprising the following steps:
acquiring current observation data of a target state control station;
judging whether preset conditions are met or not according to the current observation data and the prediction data;
-performing a pollutant management method according to claim 5 or 6 when said preset condition is met.
9. The real-time management and control method according to claim 8, wherein the preset conditions include:
the current observation data is larger than a first preset threshold value;
the current observation data is smaller than the first preset threshold and larger than a second preset threshold;
the difference value between the current observation data and the prediction data is larger than a third preset threshold value; alternatively, the first and second electrodes may be,
and the difference value between the current observation data and the prediction data is smaller than the third preset threshold, 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.
10. A pollutant management and control device, comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein 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 determination module is used for determining the predicted pollution time of the target national control station according to the pollutant observation data;
the second determination module is used for determining the pollutant discharge amount and grid coordinates of the rearranged grids in all the grids in the preset area range within 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 heavy discharge grid to the target national control station according to the pollutant discharge amount of each heavy discharge grid, the grid coordinate, the target national control station coordinate and meteorological element data, so as to control the target national control station according to the first pollution contribution ratio.
11. A prediction 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;
the first judgment module is used for judging the transmission contribution concentration and the local contribution concentration;
a first management and control module for executing the pollutant management and control method according to any one of claims 1 to 4 if the transmission contribution concentration is less than the local contribution concentration; otherwise, a method for pollution control according to claim 5 or 6 is performed.
12. A real-time management and control device is characterized by comprising:
the third acquisition module is used for acquiring current observation data of the target national control station;
the second judgment module is used for judging whether preset conditions are met according to the current observation data and the prediction data;
a second management and control module for executing the pollutant management and control method according to claim 5 or 6 when the preset condition is satisfied.
13. An electronic device, comprising: a processor, a memory, and a bus;
the processor and the memory are communicated with each other through the bus;
the memory stores program instructions executable by the processor, the processor invoking the program instructions to enable execution of the pollution management method of any one of claims 1-6, the predictive management method of claim 7, or the real-time management method of claim 8 or 9.
14. A non-transitory computer-readable storage medium storing computer instructions which, when executed by a computer, cause the computer to perform the pollutant management method of any one of claims 1-6, the predictive management method of claim 7, or the real-time management method of claim 8 or 9.
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