CN110687255A - Air pollutant tracing method, device, equipment and storage medium - Google Patents
Air pollutant tracing method, device, equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a tracing method, a tracing device, equipment and a storage medium for air pollutants, wherein the method comprises the following steps: obtaining traceability data collected by monitoring points, wherein the traceability data comprise air pollutant data, wind direction data and wind speed data; determining a probability distribution map of the air pollutants on a preset wind direction interval according to the tracing data; determining a wind direction and wind speed rose diagram corresponding to the preset wind direction interval according to the wind direction data and the wind speed data; and determining the tracing information of the air pollutants based on the probability distribution map and the wind direction and wind speed rose diagram. According to the embodiment of the invention, the probability distribution map of the air pollutants is combined with the wind direction and wind speed rose diagram, so that the problems of large data quantity demand and inaccurate prediction are solved, the accuracy and precision of the air pollutant tracing result are improved, accurate data support is provided for law enforcement personnel to manage the air environment, and the law enforcement efficiency is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of pollutant tracing, in particular to a tracing method, a tracing device, tracing equipment and a storage medium for air pollutants.
Background
In recent years, due to rapid development of social economy, environmental and atmospheric pollution problems are increasingly serious, haze attacks are frequently applied in various parts of the country, when haze is seriously around the whole city, vehicles and buildings are difficult to see, and strong social attention to air quality and environmental pollution is caused.
In order to effectively promote the implementation of environment supervision work, the environmental protection bureau continuously strengthens working measures and actively promotes the construction of a gridding air quality supervision system. The grid air quality supervision system (supervision system for short) is to divide the air pollution prevention and control management grid into grades by taking counties, streets, towns and communities (villages) as units in a city, distribute points in a large range and high density, can fully cover the regional grid, and objectively and truly reflect the pollution situation. The supervision system has a complete closed-loop management flow of monitoring, tracing, managing and law enforcement, and particularly a pollutant tracing link, and can help law enforcement personnel to timely and accurately manage pollution sources. Most of the existing pollutant tracing methods are based on a correlation model algorithm to calculate collected pollutant monitoring data so as to predict a pollutant source, or predict the pollutant source by synthesizing the monitoring data of a plurality of monitoring points.
Based on the prior art method, the model algorithm needs a large amount of monitoring data to realize accurate prediction of pollutants, and the timeliness is poor. Particularly, when the number of monitoring points in the local area is small, the data requirement of the method in the prior art cannot be met, so that the accuracy of the prediction result of the tracing of the pollutants is not high.
Disclosure of Invention
The embodiment of the invention provides a tracing method, a tracing device, tracing equipment and a storage medium for air pollutants, so as to realize accurate prediction and analysis of air pollutant sources and further improve law enforcement efficiency.
In a first aspect, an embodiment of the present invention provides an air pollutant tracing method, including:
obtaining traceability data collected by monitoring points, wherein the traceability data comprise air pollutant data, wind direction data and wind speed data;
determining a probability distribution map of the air pollutants on a preset wind direction interval according to the tracing data;
determining a wind direction and wind speed rose diagram corresponding to the preset wind direction interval according to the wind direction data and the wind speed data;
and determining the tracing information of the air pollutants based on the probability distribution map and the wind direction and wind speed rose diagram.
In a second aspect, an embodiment of the present invention further provides an apparatus for tracing air pollutants, where the apparatus includes:
the source tracing data acquisition module is used for acquiring source tracing data acquired by monitoring points, wherein the source tracing data comprises air pollutant data, wind direction data and wind speed data;
the probability distribution map determining module is used for determining a probability distribution map of the air pollutants on a preset wind direction interval according to the tracing data;
the wind direction and wind speed rose diagram determining module is used for determining a wind direction and wind speed rose diagram corresponding to the preset wind direction interval according to the wind direction data and the wind speed data;
and the traceability information determination module is used for determining traceability information of the air pollutants based on the probability distribution map and the wind direction and wind speed rose diagram.
In a third aspect, an embodiment of the present invention further provides an apparatus, where the apparatus includes:
one or more processors;
a memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement any of the above-mentioned methods of tracing airborne pollutants.
In a fourth aspect, embodiments of the present invention further provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform any of the above-mentioned methods for tracing air pollutants.
According to the embodiment of the invention, the probability distribution map of the air pollutants is combined with the wind direction and wind speed rose diagram, so that the problems of large data quantity demand and inaccurate prediction are solved, the accuracy and precision of the air pollutant tracing result are improved, accurate data support is provided for law enforcement personnel to manage the air environment, and the law enforcement efficiency is improved.
Drawings
Fig. 1 is a flowchart of a tracing method of air pollutants according to an embodiment of the present invention.
Fig. 2 is a system flowchart of a method for tracing air pollutants according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a probability distribution diagram according to an embodiment of the present invention.
Fig. 4 is a schematic diagram of a wind direction and wind speed rose diagram according to an embodiment of the present invention.
Fig. 5 is a flowchart of a tracing method of air pollutants according to a second embodiment of the present invention.
Fig. 6 is a rose diagram of wind direction and wind speed superposition according to the second embodiment of the present invention.
Fig. 7 is a schematic view of an apparatus for tracing air pollutants according to a third embodiment of the present invention.
Fig. 8 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of an air pollutant tracing method according to an embodiment of the present invention, where the method is applicable to a situation of grid air quality monitoring, and the method may be executed by an air pollutant tracing apparatus, and the apparatus may be implemented in a software and/or hardware manner, and may be configured in a terminal intelligent device, such as a computer, an ipad, and a mobile phone. The method specifically comprises the following steps:
s110, obtaining traceability data collected by monitoring points, wherein the traceability data comprise air pollutant data, wind direction data and wind speed data.
The monitoring points comprise high-precision and easily-deployed micro stations and monitoring equipment such as dust raising stations and small automatic air stations of a national standard method, and large-range and high-density monitoring points are deployed to form a sensing system of a gridding air quality monitoring network. The specific monitoring point position can comprehensively consider various influence factors such as the terrain condition, the wind frequency distribution characteristic, the environmental index and the direction of the environmental protection target of the area, and the monitoring points are deployed.
In one embodiment, optionally, the sensor devices in the monitoring points are subjected to data quality control according to preset conditions. The preset conditions include, but are not limited to, preset time, position change of the monitoring point, and data acquired by the monitoring point exceeding a threshold. Illustratively, when the data collected by the monitoring points exceed a threshold value, the sensor equipment in the detection points is subjected to data quality control, so that the data collected by the monitoring points are accurate, effective and reliable, and the condition of false alarm cannot occur. Specifically, the sensor device can be subjected to full-life-cycle data quality control and calibration by using a four-stage calibration quality control means.
In one embodiment, the traceability data may optionally include, but is not limited to, air pollutant data, wind direction data, wind speed data, humidity data, temperature data, barometric pressure data, and the like. Wherein the air pollutants in the air pollutants data include but are not limited to PM10、PM2.5、SO2、NO2CO and O3. The wind direction data is a wind direction interval where wind collected by the monitoring points at a certain moment is located, wherein the wind direction refers to the direction in which the wind blows to the monitoring points from the outside, and the wind direction interval refers to an interval which is divided into a preset number by taking the monitoring points as the center. The wind speed data is the wind speed collected at a monitoring point at a certain moment.
In an embodiment, optionally, the monitoring point collects the traceability data monitored in real time according to a preset collection time. The preset acquisition time can be any time. Illustratively, the preset acquisition time may be 8:00, 9:00, 20:00, etc. time points of the day, but may also be every minute. In an embodiment, optionally, the preset acquisition times of different characteristic parameter data in the tracing data may be the same or different. Wherein, different preset acquisition times can be set according to the actual conditions of the characteristic parameters. For example, air pollutant data may be collected every minute and wind speed data may be collected every 30 minutes. The preset acquisition time of each feature parameter data in the tracing data is not limited herein. Further, in an embodiment, optionally, the monitoring point stores the tracing data according to the collection time of the tracing data. The acquisition time comprises time information such as year, month, day, hour, minute, second and the like, so that the time of the tracing data acquisition can be accurately recorded.
In an embodiment, optionally, the tracing data collected by the monitoring point is obtained in real time or at regular time through a wireless or wired transmission mode. The obtaining of the tracing data collected by the monitoring point in real time may be obtaining the tracing data collected by the monitoring point according to a preset collection time of the monitoring point. The preset acquisition time can be any time, namely, the traceability data acquired by the monitoring points are received or extracted in real time, and the traceability data are stored so as to be processed subsequently. The source tracing data acquired by the monitoring points can be acquired according to preset time, and the source tracing data stored by the monitoring points and corresponding to the preset time can be acquired. The preset time may be a certain month, a certain day, several days, or a certain time of day, or may be a certain time, and the preset time is not limited herein.
In an embodiment, optionally, before obtaining the traceability data collected by the monitoring point, monitoring whether the air pollutant data of the monitoring point exceeds a threshold in real time, and if so, obtaining the traceability data collected by the monitoring point within a preset time period. For example, the preset time period may be a preset time period before the air pollutant data exceeds the threshold, may also be a preset time period after the air pollutant data exceeds the threshold, and of course, may also be a preset time period before and after the air pollutant data exceeds the threshold. For example, if the air pollutant data of the monitoring point exceeds the threshold value at the 9 th, 7 th and 0th points, the traceability data of 9 th, 5th and 6 th points can be acquired, or the traceability data of 9 th, 7 th and 8 th points can be acquired while law enforcement measures are taken, so as to provide data support for law enforcement, and of course, the traceability data of 9 th, 6 th and 7 th points can also be acquired. The time starting point and the time range of the preset time period are not limited herein.
For example, fig. 2 is a system flowchart of an air pollutant tracing method according to an embodiment of the present invention. And in a gridding air quality supervision system, monitoring whether the monitoring data of the monitoring points are normal or not in real time. If the data is normal, the data is ended, if the data is abnormal, the data exceeds the standard, namely the data exceeds the monitoring data threshold value, at the moment, an analysis traceability function is started, the traceability method of the air pollutants in the embodiment is executed, traceability information is obtained, then a law enforcement task is distributed to the nearest grid operator or staff of the environmental protection bureau for processing according to the pollution source position prompted in the traceability information, the platform monitoring data is normal after the processing is finished, and the closed loop process is finished.
Further, in an embodiment, optionally, after obtaining the tracing data collected by the monitoring point, the tracing data is subjected to data fusion according to a preset time sequence. Wherein, the preset time sequence refers to a time range, such as 7:00-8:00, 8-10, 1-2 months and so on. The data fusion comprises one or more of the average value, the maximum value, the minimum value and the median of the tracing data in the time range corresponding to the statistical preset time sequence. For example, the preset time sequence is 8:00-9:00 am on a certain day, the air pollutant data is collected once per minute at the monitoring point, and the wind speed data is collected once every 30 minutes, so that the average value of the air pollutant data and the average value of the wind speed data in 1 hour corresponding to the time sequence can be respectively counted and used as the air pollutant data and the wind speed data after data fusion corresponding to the preset time sequence. The method has the advantages that the time sequence of the tracing data can be unified through data fusion because the acquisition time of different characteristic parameter data in the tracing data is possibly different, so that each characteristic parameter data in the tracing data can be processed under the standard of the same time sequence.
And S120, determining a probability distribution map of the air pollutants on a preset wind direction interval according to the tracing data.
The tracing data comprises wind direction data and air pollutant data after data fusion. The wind direction interval is an interval which is divided into a preset number by taking a monitoring point as a center. Wherein, the wind direction is the direction that the wind blows to the monitoring point from the outside. The preset number may be 2, 8, or 16, for example. In one embodiment, optionally, the preset wind direction interval includes at least one wind direction interval.
The probability distribution map is a statistical map drawn according to probability values of the air pollutants appearing in each wind direction interval. The statistical maps include, but are not limited to, pie charts, bar charts, line charts, and mesh charts. In one embodiment, the probability distribution map is optionally plotted against a sector plot. Specifically, each wind direction interval may be represented by an equally divided sector to form a complete circle, and the corresponding probability value may be plotted on each sector. For example, if the wind direction is divided into 16 wind direction intervals, each wind direction interval corresponds to a sector angle of 22.5 ° in the sector diagram, and E, W, S and N represent east, west, south, and north, respectively. If north is taken as a starting point, the wind direction section corresponding to 22.5 ° is NNE (northeast), the wind direction section corresponding to 45 ° is NE (northeast), and so on. The straight line coordinates are plotted to show the probability values of the presence of air pollutants in the wind direction intervals. Fig. 3 is a schematic diagram of a probability distribution diagram according to an embodiment of the present invention. Data were derived from fixing PM in municipal Point-controlled natatorium within the 05 month monitoring period of 20152.5The monitoring data of (1).
In one embodiment, optionally, a threshold concentration of air pollutants is determined based on the air pollutants data. Based on the concentration threshold, a threshold number of samples is determined for which the air contaminant data exceeds the concentration threshold. And dividing the threshold sample number by the total sample number of the air pollutant data based on the wind direction data and a preset wind direction interval, determining the probability value of the air pollutants, and generating a probability distribution map.
The concentration threshold may be a fixed concentration threshold, or a concentration threshold determined according to air pollutant data. Illustratively, a value in a preset percentile of the air pollution data is used as the concentration threshold, wherein the preset percentile may be 25th, 80th or 90 th.
In one embodiment, optionally, the air pollutant data is classified based on the wind direction data and a preset wind direction interval, and the threshold sample number and the total sample number of the air pollutant data in the preset wind direction interval are determined. Wherein, the concentration threshold value of the air pollutant in different wind direction intervals can be the same or different.
In an embodiment, optionally, the air pollutant data is classified based on a time sequence corresponding to a preset wind direction interval in the wind direction data to generate wind direction air pollutant data, and the threshold sample number and the total sample number of the wind direction air pollutant data are used as the threshold sample number and the total sample number in the preset wind direction interval. The time sequence refers to a time period corresponding to the source tracing data after data fusion. For example, when the preset wind direction interval is the north wind, and the time series corresponding to the north wind in the wind direction data are 8:00-9:00 and 10:00-11:00, respectively, the air pollutant data corresponding to the time series are divided into the north wind air pollutant data, and the threshold sample number and the total sample number of the north wind air pollutant data are determined. When the wind direction data and the air pollutant data are acquired at the same time, in one embodiment, optionally, the air pollutant data are classified according to the acquisition time corresponding to a preset wind direction interval in the wind direction data to generate wind direction air pollutant data, and the threshold sample number and the total sample number of the wind direction air pollutant data are used as the threshold sample number and the total sample number in the preset wind direction interval. The acquisition time refers to the corresponding moment when the tracing data is acquired by the monitoring point. For example, when the preset wind direction interval is the north wind, the acquisition time corresponding to the north wind in the wind direction data is 1:00, 2:01, 2:45 and 3:05, the air pollutant data corresponding to the acquisition time is divided into the north wind air pollutant data, and the threshold sample number and the total sample number of the north wind air pollutant data are determined.
In one embodiment, the probability value of the air contaminant is optionally calculated according to a directional probability function. Specifically, a threshold sample size m of air pollutant data in a preset wind direction interval is determined according to a concentration threshold valueΔθCalculating the total sample number n of the air pollutant data in the preset wind direction intervalΔθCalculating a formula CPF ═ m according to a directional probability function (CPF)Δθ/nΔθAnd obtaining the probability value of the air pollutants in a preset wind direction interval. And repeating the steps of the method to obtain the probability values of the air pollutants in the preset wind direction intervals, and generating a probability distribution map.
And S130, determining a wind direction and wind speed rose diagram corresponding to a preset wind direction interval according to the wind direction data and the wind speed data.
The rose diagram is an image obtained by drawing wind direction data and wind speed data in a preset wind direction interval according to a certain proportion in a preset time period, and is mostly represented by 8 or 16 compass directions. The wind direction-wind speed rose diagram includes wind direction, wind speed, wind direction frequency and wind speed frequency. The wind direction frequency is represented by a line segment or a shape drawn from the statistical value in each wind direction section, and the longer the length of the line segment or the longer the side length of the shape, the higher the wind direction frequency is represented. The linear coordinates in the wind direction and wind speed rose diagram represent wind direction frequency values. And drawing line segments or fractal shapes with different colors or gray levels on the line segments or the shapes corresponding to the wind direction frequency according to the wind speed frequency. Wind speed ranges corresponding to different colors or gray scales are marked in the wind direction and wind speed rose diagram, and the marked positions are not limited. Fig. 4 is a schematic diagram of a wind direction and wind speed rose diagram according to an embodiment of the present invention. Data were derived from fixing PM in municipal Point-controlled natatorium within the 05 month monitoring period of 20152.5The monitoring data of (1). The length of the triangle section in each wind direction section in the wind direction and wind speed rose diagram represents a wind direction probability value of the occurrence frequency of the wind direction in the total observation frequency, namely the wind direction frequency. The different gray levels in each triangle represent the wind speed when the wind direction appears, and the sameThe areas of different gray levels in the triangle represent the probability of the occurrence of different wind speeds in the total wind direction, i.e. the wind speed frequency.
And S140, determining the traceability information of the air pollutants based on the probability distribution map and the wind direction and wind speed rose diagram.
In an embodiment, optionally, the number of the wind direction intervals of the probability distribution map and the wind direction intervals of the wind direction and wind speed rose diagram may be the same or different. The traceability information includes at least one of the direction of origin, diffusion speed, diffusion range and location of origin of the air pollutant.
In an embodiment, optionally, the probability value of the occurrence of the air pollutants in the different wind direction intervals is determined according to the probability distribution map, the wind direction frequency and the wind speed frequency in the different wind direction intervals are determined according to the wind direction and wind speed rose diagram, and the traceability information of the air pollutants is determined according to the probability value, the wind direction frequency and the wind speed frequency in the different wind direction intervals. Specifically, the source direction and the diffusion direction of the air pollutants are determined according to the corresponding relation between the wind direction frequency and the probability value of the air pollutants in different wind direction intervals. And determining the diffusion speed of the air pollutants according to the corresponding relation between the wind speed frequency and the probability value of the air pollutants. And determining the diffusion range and the source position according to the diffusion direction and the diffusion speed.
In an embodiment, optionally, the probability distribution map is represented by a sector, the uniform probability distribution map and the linear coordinate system in the wind direction and wind speed rose map are drawn in proportion and set in the wind direction, and the uniform probability distribution map and the linear coordinate system in the wind direction and wind speed rose map are superposed to obtain a wind direction and wind speed superposed rose map. The unified wind direction setting means that the probability distribution map and the wind direction interval of the wind direction and wind speed rose diagram have the same starting point, and if north (N) is taken as a division starting point. The preset number of the probability distribution map and the wind direction interval of the wind direction and wind speed rose diagram can be the same or different. The advantage of overlapping the probability distribution map and the wind direction and wind speed rose diagram is that the traceability information of the air pollutants can be comprehensively and visually determined from the wind direction and wind speed overlapped rose diagram.
According to the technical scheme, the probability distribution map of the air pollutants is combined with the wind direction and wind speed rose diagram, the problems of large data quantity demand and inaccurate prediction are solved, the accuracy and precision of the air pollutant tracing result are improved, accurate data support is provided for law enforcement personnel to manage the air environment, and the law enforcement efficiency is improved.
Example two
Fig. 5 is a flowchart of a tracing method of air pollutants according to a second embodiment of the present invention, and the technical solution of the present embodiment is a further refinement based on the above-mentioned second embodiment. Optionally, before determining the concentration threshold of the air pollutants, or before determining that the air pollutants data exceeds the threshold number of samples of the concentration threshold, the method further includes: and screening the air pollutant data according to the wind speed data.
The method comprises the following specific steps:
s210, obtaining traceability data collected by monitoring points, wherein the traceability data comprise air pollutant data, wind direction data and wind speed data.
And S220, screening the air pollutant data according to the wind speed data.
In one embodiment, optionally, before the air pollutant data is screened, the tracing data is subjected to data fusion according to a preset time sequence. In one embodiment, optionally, the air pollutant data corresponding to the preset wind speed data is used as the screened air pollutant data in the same time sequence. The preset wind speed data can be any wind speed range or fixed wind speed, for example, the preset wind speed is less than 1m/s, more than 5m/s or equal to 4 m/s. In one embodiment, optionally, the air pollutant data corresponding to the wind speed data of 1m/s or more is used as the screened air pollutant data. When the wind speed is less than 1m/s, the wind is considered to be in a calm wind state, and air pollutants are not influenced by the diffusion of surrounding pollution sources. For example, if the wind speed data is greater than or equal to 1m/s, a time series corresponding to the wind speed data is determined, such as 8:00-9:00, and the air pollutant data corresponding to the time series is retained. And if the wind speed data is less than 1m/s, determining a time series corresponding to the wind speed data, such as 10:00-11:00, and deleting the air pollutant data corresponding to the time series. And repeating the steps, and taking the reserved air pollutant data as the screened air pollutant data.
The air pollutant data involved in the subsequent steps refer to the screened air pollutant data.
And S230, determining a concentration threshold of the air pollutants according to the air pollutants data.
S240, determining a probability distribution map of the air pollutants on a preset wind direction interval according to the concentration threshold and the tracing data.
And S250, determining a wind direction and wind speed rose diagram corresponding to a preset wind direction interval according to the wind direction data and the wind speed data.
And S260, determining the source tracing information of the air pollutants based on the probability distribution map and the wind direction and wind speed rose diagram.
In an embodiment, optionally, the probability distribution map is represented by a sector, the uniform probability distribution map and the linear coordinate system in the wind direction and wind speed rose map are drawn in proportion and set in the wind direction, and the uniform probability distribution map and the linear coordinate system in the wind direction and wind speed rose map are superposed to obtain a wind direction and wind speed superposed rose map. The unified wind direction setting means that the probability distribution map and the wind direction interval of the wind direction and wind speed rose diagram have the same starting point, and if north (N) is taken as a division starting point. The preset number of the probability distribution map and the wind direction interval of the wind direction and wind speed rose diagram can be the same or different.
For example, fig. 6 is a rose diagram of wind direction and wind speed superposition according to the second embodiment of the present invention. Fig. 6 is a superimposed image obtained by superimposing fig. 3 and fig. 4, taking as an example that the probability distribution map and the wind direction interval of the wind direction and wind speed rose diagram are the same in preset number. Since the data was derived from PM in a municipal Point-controlled natatorium over a monitoring period of 05 months in 20152.5The monitoring data can be obtained by combining the tracing information of the air pollutants determined by superposing the rose diagram according to the wind direction and the wind speed and analyzing the actual condition, thereby guaranteeing the PM of the urban national control point natatorium2.5The direction of origin is affected by the transmission of the zone, and there are also release sources at its periphery. There is an effect of regional transmission in the Northeast (NE) and Southwest (SW) directions, where the Southwest (SW) direction may be related to shijiazhuang particulate matter transmission,this is consistent with the currently official release of the beijing particulate matter transport channel. There is significant local release in the south-southwest direction (SSW), south (S) and east-southeast direction (ESE) of the monitoring site, and these pollution release sources may come from polluting enterprises distributed in the south of baoding and the south, southwest and southeast of new urban areas.
It is understood that S220 may also be executed after S230, which is advantageous in that after the concentration threshold is determined, the air pollutant data is screened according to the wind direction data, so that the integrity of the air pollutant data when the concentration threshold is determined can be ensured, and the determined concentration threshold can reflect the true condition of the original air pollutant data.
According to the technical scheme, the air pollutant data are screened according to the wind direction data, so that the corresponding data can be selected according to actual requirements for analysis, the calculated amount is effectively reduced, the accuracy and precision of the air pollutant tracing result are improved, and accurate data support is provided for law enforcement personnel to manage the air environment.
EXAMPLE III
Fig. 7 is a schematic view of an apparatus for tracing air pollutants according to a third embodiment of the present invention. The embodiment can be suitable for the condition of gridding air quality monitoring, the device can be realized in a software and/or hardware mode, and the device can be configured in terminal intelligent equipment, such as a computer, an ipad and a mobile phone. The device includes: the system comprises a traceability data acquisition module 310, a probability distribution diagram determination module 320, a wind direction and wind speed rose diagram determination module 330 and a traceability information determination module 340.
The traceability data acquisition module 310 is configured to acquire traceability data acquired by a monitoring point, where the traceability data includes air pollutant data, wind direction data, and wind speed data.
And a probability distribution map determining module 320, configured to determine a probability distribution map of the air pollutants in the preset wind direction interval according to the traceability data.
And the wind direction and wind speed rose diagram determining module 330 is configured to determine a wind direction and wind speed rose diagram corresponding to a preset wind direction interval according to the wind direction data and the wind speed data.
And the traceability information determination module 340 is used for determining traceability information of the air pollutants based on the probability distribution map and the wind direction and wind speed rose diagram.
According to the technical scheme, the probability distribution map of the air pollutants is combined with the wind direction and wind speed rose diagram, the problems of large data quantity demand and inaccurate prediction are solved, the accuracy and precision of the air pollutant tracing result are improved, accurate data support is provided for law enforcement personnel to manage the air environment, and the law enforcement efficiency is improved.
On the basis of the above technical solution, optionally, the apparatus further includes:
and the data fusion module is used for carrying out data fusion on the source tracing data according to the preset time sequence.
Optionally, the probability distribution map determining module 320 includes:
the concentration threshold value determining unit is used for determining the concentration threshold value of the air pollutants according to the air pollutants data;
the threshold sample number determining unit is used for determining the threshold sample number of the air pollutant data exceeding the concentration threshold according to the concentration threshold;
and the probability distribution map generating unit is used for dividing the threshold sample number by the total sample number of the air pollutant data based on the wind direction data and a preset wind direction interval, determining the probability value of the air pollutants and generating a probability distribution map.
Optionally, the apparatus further comprises:
and the data screening module is used for screening the air pollutant data according to the wind speed data.
Optionally, the apparatus further comprises:
and the threshold real-time monitoring module is used for monitoring whether the air pollutant data of the monitoring point exceeds a threshold in real time, and if so, obtaining the tracing data collected by the monitoring point within a preset time period.
Optionally, the preset wind direction interval includes at least one wind direction interval.
Optionally, the traceability information includes at least one of the source direction, diffusion speed, diffusion range and source location of the air pollutant.
The air pollutant tracing device provided by the embodiment of the invention can be used for executing the air pollutant tracing method provided by the embodiment of the invention, and has corresponding functions and beneficial effects of the execution method.
It should be noted that, in the embodiment of the apparatus for tracing air pollutants, the units and modules included in the apparatus are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
Example four
Fig. 8 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention, where the fourth embodiment of the present invention provides a service for implementing the air pollutant tracing method according to the foregoing embodiment of the present invention, and the air pollutant tracing apparatus according to the third embodiment of the present invention may be configured. FIG. 8 illustrates a block diagram of an exemplary device 12 suitable for use in implementing embodiments of the present invention. The device 12 shown in fig. 8 is only an example and should not bring any limitation to the function and scope of use of the embodiments of the present invention.
As shown in FIG. 8, device 12 is in the form of a general purpose computing device. The components of device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. Device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 8, and commonly referred to as a "hard drive"). Although not shown in FIG. 8, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
The processing unit 16 executes programs stored in the system memory 28 to perform various functional applications and data processing, such as implementing the tracing method of air pollutants provided by the embodiment of the present invention.
Through the equipment, the probability distribution map of the air pollutants is combined with the wind direction and wind speed rose diagram, the problems of large data quantity demand and inaccurate prediction are solved, the accuracy and precision of the air pollutant tracing result are improved, accurate data support is provided for law enforcement personnel to manage the air environment, and the law enforcement efficiency is improved.
EXAMPLE five
An embodiment of the present invention further provides a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a method for tracing air pollutants, the method including:
obtaining traceability data collected by monitoring points, wherein the traceability data comprises air pollutant data, wind direction data and wind speed data;
determining a probability distribution map of the air pollutants on a preset wind direction interval according to the tracing data;
determining a wind direction and wind speed rose diagram corresponding to a preset wind direction interval according to the wind direction data and the wind speed data;
and determining the traceability information of the air pollutants based on the probability distribution graph and the wind direction and wind speed rose diagram.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, or the like, as well as conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
Of course, the storage medium containing the computer-executable instructions provided by the embodiments of the present invention is not limited to the above method operations, and may also perform related operations in the tracing method of air pollutants provided by any embodiments of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments illustrated herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for tracing the source of air pollutants, comprising:
obtaining traceability data collected by monitoring points, wherein the traceability data comprise air pollutant data, wind direction data and wind speed data;
determining a probability distribution map of the air pollutants on a preset wind direction interval according to the tracing data;
determining a wind direction and wind speed rose diagram corresponding to the preset wind direction interval according to the wind direction data and the wind speed data;
and determining the tracing information of the air pollutants based on the probability distribution map and the wind direction and wind speed rose diagram.
2. The method of claim 1, after obtaining the traceability data collected at the monitoring point, further comprising:
and performing data fusion on the tracing data according to a preset time sequence.
3. The method of claim 2, wherein the determining the probability distribution map of the airborne pollutant over a preset wind direction interval from the traceability data comprises:
determining a concentration threshold for the air contaminant based on the air contaminant data;
determining a threshold number of samples for which the air contaminant data exceeds the concentration threshold based on the concentration threshold;
and dividing the threshold sample number by the total sample number of the air pollutant data based on the preset wind direction interval, determining the probability value of the air pollutants, and generating a probability distribution map.
4. The method of claim 3, further comprising, prior to determining the concentration threshold of the air contaminant, or prior to determining that the air contaminant data exceeds a threshold number of samples of the concentration threshold:
and screening the air pollutant data according to the wind speed data.
5. The method of claim 1, prior to obtaining the traceability data collected at the monitoring point, comprising:
and monitoring whether the air pollutant data of the monitoring point exceeds a threshold value in real time, and if so, acquiring the traceability data in a preset time period collected by the monitoring point.
6. The method of claim 1, wherein the preset wind direction interval comprises at least one wind direction interval.
7. The method of claim 1, wherein the traceability information includes at least one of a direction of origin, a diffusion velocity, a diffusion range, and a location of origin of the airborne contaminant.
8. An airborne contaminant traceability device, comprising:
the source tracing data acquisition module is used for acquiring source tracing data acquired by monitoring points, wherein the source tracing data comprises air pollutant data, wind direction data and wind speed data;
the probability distribution map determining module is used for determining a probability distribution map of the air pollutants on a preset wind direction interval according to the tracing data;
the wind direction and wind speed rose diagram determining module is used for determining a wind direction and wind speed rose diagram corresponding to the preset wind direction interval according to the wind direction data and the wind speed data;
and the traceability information determination module is used for determining traceability information of the air pollutants based on the probability distribution map and the wind direction and wind speed rose diagram.
9. An apparatus, comprising:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the method of tracing airborne pollutants as recited in any of claims 1-7.
10. A storage medium containing computer executable instructions for performing the method of tracing air pollutants as claimed in any one of claims 1 to 7 when executed by a computer processor.
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