CN114329245A - Air pollution tracing method and device, server and storage medium - Google Patents
Air pollution tracing method and device, server and storage medium Download PDFInfo
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Abstract
The invention discloses a tracing method and device for air pollution, a server and a storage medium. The method comprises the following steps: if an air pollution event is monitored, determining a monitoring site to be checked according to the event position of the air pollution event; analyzing the air quality monitoring data of the monitoring station to be checked, and screening abnormal monitoring stations according to the analysis result; and determining a pollution source to be detected according to the meteorological data and the site position of the abnormal monitoring site. According to the embodiment of the invention, the meteorological data are combined with the positions of the screened abnormal monitoring stations, so that the traceability accuracy and traceability efficiency of air pollution are improved, accurate data support is provided for law enforcement personnel to treat the air pollution, and the treatment efficiency of the air pollution is further improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of data processing, in particular to a tracing method and device for air pollution, a server and a storage medium.
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 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 that the pollutant source is predicted.
The model algorithm needs a large amount of monitoring data to accurately predict the pollutants, and the timeliness is poor. Particularly, when the number of monitoring stations in a 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, and improvement is urgently needed.
Disclosure of Invention
The invention provides a method and a device for tracing air pollution, a server and a storage medium, which are used for accelerating the tracing efficiency of air pollution and improving the tracing accuracy.
In a first aspect, an embodiment of the present invention provides an air pollution tracing method, where the method includes:
if an air pollution event is monitored, determining a monitoring site to be checked according to the event position of the air pollution event;
analyzing the air quality monitoring data of the monitoring station to be checked, and screening abnormal monitoring stations according to the analysis result;
and determining a pollution source to be detected according to the meteorological data and the site position of the abnormal monitoring site.
In a second aspect, an embodiment of the present invention further provides an air pollution tracing apparatus, where the apparatus includes:
the station to be checked determining module is used for determining a station to be checked according to the event position of the air pollution event if the air pollution event is monitored;
the abnormal site screening module is used for analyzing the air quality monitoring data of the monitored site to be checked and screening the abnormal monitored site according to the analysis result;
and the pollution source to be detected determining module is used for determining the pollution source to be detected according to the meteorological data and the site position of the abnormal monitoring site.
In a third aspect, an embodiment of the present invention further provides a server, where the server includes:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors implement the tracing method for air pollution according to any embodiment of the present invention.
In a fourth aspect, the embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the tracing method for air pollution according to any embodiment of the present invention.
According to the tracing method, the tracing device, the server and the storage medium for air pollution provided by the embodiment of the invention, if an air pollution event is monitored, a monitoring site to be checked is determined according to the event position of the air pollution event; analyzing the air quality monitoring data of the monitoring station to be checked, and screening abnormal monitoring stations according to the analysis result; and determining a pollution source to be detected according to the meteorological data and the site position of the abnormal monitoring site. Through combining meteorological data and the unusual monitoring website position of selecting, improved air pollution's the degree of accuracy of tracing to the source and efficiency of tracing to the source, provide accurate data support for law enforcement personnel administer air pollution, and then improve air pollution's treatment effeciency, provide a new thinking for air pollution's the tracing to the source.
Drawings
Fig. 1 is a flowchart of a tracing method of air pollution according to an embodiment of the present invention;
fig. 2 is a flowchart of a tracing method of air pollution according to a second embodiment of the present invention;
fig. 3 is a flowchart of a tracing method of air pollution according to a third embodiment of the present invention;
fig. 4 is a block diagram of a tracing apparatus for air pollution according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of a server according to a fifth 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 pollution tracing method according to an embodiment of the present invention, where the present embodiment is applicable to a situation where a grid monitoring station is used to monitor air quality, and the method may be executed by the air pollution tracing apparatus according to the embodiment of the present invention, and the apparatus may be implemented in a software and/or hardware manner and may be integrated on a server.
Specifically, as shown in fig. 1, the tracing method for air pollution provided by the embodiment of the present invention may include the following steps:
and S110, if the air pollution event is monitored, determining a monitoring site to be checked according to the event position of the air pollution event.
Wherein the air pollution event comprises at least: the location and time of the event when the air pollution event occurred. The air pollution event may be generated manually or automatically. Illustratively, citizen a has respiratory tract problems recently, and detection shows that there is air pollution in the community, so that the problems are reflected to the environment supervision department, and the environment supervision department generates air pollution events according to the problems reflected by citizen a.
In order to effectively promote the implementation of environment supervision work, the environmental protection department divides the city into districts, streets, villages and towns, and communities (villages) as units, divides the atmospheric pollution prevention and control management grids in a grading way, and distributes the points in a large range and at high density to form a grid air quality supervision system. After gridding, at least one monitoring station is arranged in each grid and used for collecting the air quality in the range of the grid, generating air quality monitoring data, and uploading the data to a big ecological environment data platform through a network for an environmental protection department to look up and call.
Optionally, the monitoring station may collect the control quality monitoring data monitored in real time according to preset collection time. The preset acquisition time can be any time. Illustratively, the preset acquisition time may be 9:00 hours of the day, or the like, and may be every minute.
In this embodiment, optionally, the ecological environment big data platform may obtain the air quality monitoring data collected by the monitoring station in real time or at regular time through a wireless or wired transmission mode. The acquiring of the air quality monitoring data acquired by the monitoring station in real time may be acquiring the air quality monitoring data acquired by the monitoring station according to preset acquisition time of the monitoring station. The preset acquisition time can be any time, namely, the air quality monitoring data acquired by the monitoring station is received or extracted in real time, and the air quality monitoring data is stored so as to be processed subsequently. The step of acquiring the air quality monitoring data acquired by the monitoring station at regular time may be to acquire the air quality monitoring data corresponding to preset time stored by the monitoring station according to preset time. 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 alternative embodiment, in order to improve the efficiency of generating the air pollution event, the generating of the air pollution event may include: acquiring air quality monitoring data of each monitoring station in a big ecological environment data platform; if the pollutant concentration in the air quality monitoring data exceeds a first threshold value, an air pollution event is generated. Preferably, the time location of the air pollution event may be a monitoring site in the air quality monitoring data where the concentration of the pollutant exceeds a first threshold.
Air pollutants include, but are not limited to, carbon monoxide, nitrogen oxides, ozone, hydrocarbons, sulfur oxides, particulate matter, mercury and its compounds, and the like. Since the pollutant items in different regions, which are counted in the atmosphere pollution index, are different, in this embodiment, the pollutant whose concentration needs to be determined can be determined by combining the local actual conditions.
The first threshold is a preset first concentration threshold, may be a fixed concentration threshold, and may also be a concentration threshold determined according to the air quality monitoring data. Illustratively, the value on the preset percentile in the air quality monitoring data is taken as the concentration threshold.
If an air pollution event is monitored, tracing to the air pollution is triggered. Due to the high mobility of air, there may also be anomalies in the air quality around the time location of the air pollution event, except that the pollution level is not high enough to generate an air pollution event. In consideration of the fluidity of air, in this embodiment, in order to ensure the accuracy of tracing, the range to be checked may be appropriately expanded, and the monitoring station to be checked is determined according to the event location of the air pollution event. The distance between the event position of the air pollution event and the monitoring station to be checked is within a preset distance to be checked; the monitoring station to be checked is a monitoring station needing further checking.
And S120, analyzing the air quality monitoring data of the monitoring station to be checked, and screening an abnormal monitoring station according to the analysis result.
And the abnormal monitoring sites are partial monitoring sites with higher air pollution level in the sites to be monitored.
And acquiring the air quality monitoring data of the monitoring station to be checked, performing data analysis, and determining the concentration of pollutants in the air quality monitoring data of the monitoring station to be checked. Optionally, if the concentration of the pollutant is higher than a preset second threshold, the corresponding monitored site to be checked is determined to be an abnormal monitored site. Preferably, the second threshold is not higher than the first threshold.
And S130, determining a pollution source to be detected according to the meteorological data and the site position of the abnormal monitoring site.
The meteorological data include the wind speed and the wind direction at the current moment, and can be collected by the monitoring station, and the specific collection period is not limited in this embodiment. Considering real-time weather change along with time, in order to ensure the accuracy of the collected weather data, the monitoring station can collect the weather data of the position in real time; considering that the mutation of meteorological data is not strong, in order to promote collection efficiency, the monitoring station can also regularly collect the meteorological data of the position.
Wind speed, which refers to the rate of movement of air relative to an abnormally monitored site, is commonly measured in m/s. The higher the wind speed, the faster the air flow, the faster the flow velocity of the pollutants in the air, and the farther the pollutants in the air are diffused in the same time.
The wind direction is the direction from which the wind blows, the wind direction is represented by an angle, the circumference is divided into 360 degrees, the north wind (N) is 0 degree (360 degrees), the east wind (E) is 90 degrees, the south wind (S) is 180 degrees, the west wind (W) is 270 degrees, and the rest wind directions can be calculated according to the wind direction. Generally, the direction can be expressed by 8 directions, and can also be expressed by 16 directions. Taking 8 directions as examples, the north wind is 0 degree (i.e. 360 degrees), the northeast wind is 45 degrees, the east wind is 90 degrees, the southeast wind is 135 degrees, the south wind is 180 degrees, the southwest wind is 225 degrees, the west wind is 270 degrees, and the northwest wind is 315 degrees; taking 16 orientations as an example, the north wind is 0 degrees (i.e., 360 degrees), the north-east wind is 22.5 degrees, the north-east wind is 45 degrees, the north-east wind is 67.5 degrees, the east wind is 90 degrees, the south-east wind is 112.5 degrees, the south-east wind is 135 degrees, the south-east wind is 157.5 degrees, the south wind is 180 degrees, the south-west wind is 202.5 degrees, the south-west wind is 225 degrees, the west-west wind is 247.5 degrees, the west wind is 270 degrees, the west-west wind is 292.5 degrees, the north-west wind is 315 degrees, and the north-west wind is 337.5 degrees.
In the embodiment, the meteorological data comprise wind direction and wind speed, and the source direction and the diffusion direction of the air pollutants can be determined according to the wind direction by combining the site position of an abnormal monitoring site; the diffusion speed of the air pollutants can be determined according to the wind speed. And determining a pollution source to be detected according to the meteorological data and the site position of the abnormal monitoring site.
After the pollution source to be checked is determined, an accurate list of the pollution source to be checked can be generated and sent to an environmental protection department. The environmental protection department carries out pollution sources and checks the pollution sources one by one according to the list of the pollution sources to be checked, and specifically, the environmental protection department can carry out moving monitoring and troubleshooting on a vehicle or an unmanned aerial vehicle within the range of the area.
According to the technical scheme of the embodiment, if the air pollution event is monitored, the station to be monitored is determined according to the event position of the air pollution event; analyzing the air quality monitoring data of the monitoring station to be checked, and screening an abnormal monitoring station according to the analysis result; and determining a pollution source to be detected according to the meteorological data and the site position of the abnormal monitoring site. Through combining meteorological data and the unusual monitoring website position of selecting, improved air pollution's the degree of accuracy of tracing to the source and efficiency of tracing to the source, provide accurate data support for law enforcement personnel administer air pollution, and then improve air pollution's treatment effeciency, provide a new thinking for air pollution's the tracing to the source.
Example two
Fig. 2 is a flowchart of an air pollution tracing method according to a second embodiment of the present invention, which is further optimized based on the above embodiments, and "determining a pollution source to be detected according to meteorological data and a site position of the abnormal monitoring site" is optimized to "determining a pollution source area range and a pollutant discharge time according to a site position of the abnormal monitoring site, a current wind speed and a current wind direction; judging whether a candidate pollution source exists in the range of the pollution source area; and if so, determining the pollution source to be checked from the candidate pollution sources within the range of the pollution source area. "
Specifically, as shown in fig. 2, the method includes:
s210, if the air pollution event is monitored, determining a monitoring site to be checked according to the event position of the air pollution event.
And S220, analyzing the air quality monitoring data of the monitoring station to be checked, and screening the abnormal monitoring station according to the analysis result.
And S230, determining the range of the pollution source area and the pollutant discharge time according to the site position of the abnormal monitoring site and the wind speed and wind direction at the current moment.
Wherein, the position of the pollution source area is the approximate area position of the pollution source; the pollutant discharge time here may be a time range indicating a possible pollutant discharge time within the range of the pollution source region.
Because the mobility of the air is strong, in consideration of the mobility of the air, in this embodiment, in order to ensure the accuracy of tracing, the range to be checked can be properly expanded, and the pollution source area range and the pollutant discharge time are determined according to the site position of the abnormal monitoring site, the wind speed and the wind direction at the current moment. Specifically, the direction of the source of the air pollutants, that is, the direction of the pollution source relative to the station position of the abnormal monitoring station, can be determined according to the wind direction. And the position of a pollution source area and the pollutant discharge time can be determined by combining the wind speed.
S240, judging whether a candidate pollution source exists in the range of the pollution source area; if yes, go to S250A; otherwise, S250B is executed.
Wherein, the candidate pollution source is an enterprise which is possible to discharge pollutants. A candidate pollution source list is preset in the ecological environment big data platform, so that pollution sources can be determined from existing enterprises with pollutant discharge behaviors, the range of the list to be selected can be reduced, and efficiency is improved. And if the unknown pollution sources are monitored, updating a candidate pollution source list in the ecological environment big data platform. Wherein the unknown pollution source is a new pollution source which does not belong to the candidate pollution source list.
And S250A, determining the pollution source to be checked from the candidate pollution sources within the pollution source area range.
In this embodiment, the pollution source to be checked can be determined from a preset candidate pollution source list, and the limit of the pollution source area range is added, so that the range to be checked of the candidate pollution source can be further narrowed, and the efficiency of determining the pollution source to be checked is favorably improved in the whole tracing process.
Preferably, in order to further narrow the range to be checked in the candidate pollution sources, in this embodiment, the range of the list of the pollution sources to be checked may be narrowed according to the data monitoring of the enterprise emission by the environmental protection department. Specifically, whether the candidate pollution source has an illegal emission or over-emission event or not and whether the candidate pollution source is matched with the pollution factors of the air pollution event can be determined according to the real-time exhaust emission data of the candidate pollution source in the pollution source area range; and under the condition that the candidate pollution source has a steal emission or superemission event and is matched with the pollution factors of the air pollution event, determining the candidate pollution source as the pollution source to be checked.
The real-time exhaust emission data of the candidate pollution sources are collected by the enterprise and reported to the environmental protection department, so that the purpose of supervising the exhaust emission data of the enterprise by the environmental protection department is achieved. It can be understood that each candidate pollution source has a difference in the generated pollutants due to the difference in the produced products, and in this embodiment, an associated pollution factor label may be set for each candidate pollution source according to the actual situation of the candidate pollution source. And if the pollution factor label of the candidate pollution source is detected to be matched with the pollution factor of the air pollution event, determining the candidate pollution source as the pollution source to be checked.
S250B, matching the real-time production condition of each enterprise in the pollution source area range with the pollutant discharge time; and determining the enterprises which are successfully matched as the pollution sources to be checked.
If the candidate pollution source does not exist in the range of the pollution source area, the unknown pollution source may exist. It is understood that the enterprise can only generate and discharge pollutants while performing production tasks. Therefore, the real-time production condition of the enterprise can reflect whether the overtaking or stealing condition exists to a certain extent. The real-time production condition of each enterprise in the pollution source area can be obtained, and if the enterprise does not produce within the pollutant discharge time, the enterprise can be excluded from the list to be checked.
Preferably, in consideration that the real-time production condition of the enterprise may be influenced by human factors, in this embodiment, the power utilization condition of the enterprise may also be used as an auxiliary reference factor, and the power utilization condition has an association relationship with the actual production behavior, and may also reflect to some extent whether there is a superranking or steal ranking condition.
According to the technical scheme of the embodiment, the range of a pollution source area and the pollutant discharge time are determined according to the site position of an abnormal monitoring site and the wind speed and the wind direction at the current moment; judging whether a candidate pollution source exists in the range of the pollution source area; if so, determining the pollution source to be checked from the candidate pollution sources in the range of the pollution source area, further reducing the range to be checked of the candidate pollution sources, and further providing a relatively accurate list of the pollution sources to be checked for on-site investigation and confirmation by an environmental protection department, thereby being beneficial to improving the traceability efficiency in the whole traceability process.
EXAMPLE III
Fig. 3 is a flowchart of an air pollution tracing method according to a third embodiment of the present invention, which is further optimized based on the above embodiments.
Specifically, as shown in fig. 3, the method includes:
and S310, if the air pollution event is monitored, determining the range to be checked by taking the event position of the air pollution event as the center and the distance to be checked as the radius.
If an air pollution event is monitored, tracing to the air pollution is triggered. Due to the high mobility of air, there may also be anomalies in the air quality around the time location of the air pollution event, except that the pollution level is not high enough to generate an air pollution event.
In consideration of the fluidity of air, in this embodiment, in order to ensure the accuracy of tracing, the range to be checked may be appropriately expanded, and the monitoring station to be checked is determined according to the event location of the air pollution event. Wherein, the monitoring site to be checked is a monitoring site needing further checking. Specifically, the event position of the air pollution event is taken as the center, the distance to be checked is taken as the radius, the range to be checked is determined, and then the monitoring station to be checked is selected from the range to be checked.
And S320, selecting the monitoring station in the range to be checked as the monitoring station to be checked.
And S330, determining air quality monitoring data of the monitoring station to be checked.
And S340, if the concentration of the pollutants in the air quality monitoring data of the monitored site to be checked exceeds a second threshold value, determining the monitored site to be checked as an abnormal monitored site.
The second threshold is a preset second concentration threshold, may be a fixed concentration threshold, and may also be a concentration threshold determined according to the air quality monitoring data. Illustratively, the value on the preset percentile in the air quality monitoring data is taken as the concentration threshold.
Due to the high mobility of the air, there may also be anomalies in the air quality around the temporal location of the air pollution event, except that the pollution level is not high enough to generate an air pollution event, and therefore, in this embodiment, the second threshold is lower than the first threshold.
And S350, determining a pollution source to be detected according to the meteorological data and the site position of the abnormal monitoring site.
According to the technical scheme, the range to be checked is expanded, the source tracing accuracy of air pollution can be improved, and accurate data support is provided for law enforcement officers to control the air pollution.
Example four
Fig. 4 is a schematic structural diagram of an air pollution tracing apparatus according to a fourth embodiment of the present invention, which is suitable for executing the air pollution tracing method according to the fourth embodiment of the present invention, and can improve the air pollution tracing accuracy and efficiency. As shown in fig. 4, the apparatus includes a site to be inspected determination module 410, an abnormal site screening module 420, and a pollution source to be inspected determination module 430.
The to-be-checked site determining module 410 is configured to determine, if an air pollution event is monitored, a to-be-checked monitored site according to an event position of the air pollution event;
the abnormal site screening module 420 is configured to analyze the air quality monitoring data of the monitored site to be checked, and screen an abnormal monitored site according to an analysis result;
and the pollution source to be detected determining module 430 is used for determining the pollution source to be detected according to the meteorological data and the site position of the abnormal monitoring site.
According to the technical scheme of the embodiment, if the air pollution event is monitored, the station to be monitored is determined according to the event position of the air pollution event; analyzing the air quality monitoring data of the monitoring station to be checked, and screening an abnormal monitoring station according to the analysis result; and determining a pollution source to be detected according to the meteorological data and the site position of the abnormal monitoring site. Through combining meteorological data and the unusual monitoring website position of selecting, improved air pollution's the degree of accuracy of tracing to the source and efficiency of tracing to the source, provide accurate data support for law enforcement personnel administer air pollution, and then improve air pollution's treatment effeciency, provide a new thinking for air pollution's the tracing to the source.
Preferably, the meteorological data comprises the wind speed and the wind direction at the current moment; the module 430 for determining a pollution source to be detected specifically includes: the device comprises a pollution source range determining unit, a candidate pollution source judging unit and a to-be-checked pollution source determining unit.
The device comprises a pollution source range determining unit, a monitoring unit and a control unit, wherein the pollution source range determining unit is used for determining a pollution source range and pollutant discharge time according to the site position of an abnormal monitoring site, and the wind speed and wind direction at the current moment;
the candidate pollution source judging unit is used for judging whether a candidate pollution source exists in the range of the pollution source area;
and the to-be-inspected pollution source determining unit is used for determining the to-be-inspected pollution source from the candidate pollution sources in the pollution source area range if the candidate pollution sources exist in the pollution source area range.
Preferably, the unit for determining the pollution source to be checked is further configured to match real-time production conditions of each enterprise within the range of the pollution source region with pollutant discharge time if no candidate pollution source exists within the range of the pollution source region; and determining the enterprises which are successfully matched as the pollution sources to be checked.
Preferably, the module 410 for determining a station to be checked specifically includes: a to-be-checked range determining unit and a to-be-checked station determining unit.
The device comprises a to-be-checked range determining unit, a checking unit and a searching unit, wherein the to-be-checked range determining unit is used for determining the to-be-checked range by taking the event position of the air pollution event as a center and the to-be-checked distance as a radius;
and the station to be checked determining unit is used for selecting the monitoring station within the range to be checked as the monitoring station to be checked.
Preferably, the apparatus further comprises: the station data acquisition module is used for acquiring air quality monitoring data of each monitoring station in the ecological environment big data platform; and the pollution event generating unit is used for generating an air pollution event if the concentration of the pollutants in the air quality monitoring data exceeds a first threshold value.
Preferably, the abnormal site screening module 420 specifically includes: a data determining unit of the station to be checked and an abnormal station determining unit. The system comprises a data determining unit of the station to be checked, a data processing unit and a data processing unit, wherein the data determining unit of the station to be checked is used for determining air quality monitoring data of a monitored station to be checked; the abnormal site determining unit is used for determining the monitored site to be checked as the abnormal monitored site if the concentration of the pollutants in the air quality monitoring data of the monitored site to be checked exceeds a second threshold; wherein the first threshold is higher than the second threshold.
The air pollution tracing device provided by the embodiment of the invention can execute the air pollution tracing method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
EXAMPLE five
Fig. 5 is a schematic structural diagram of a server according to a fifth embodiment of the present invention. FIG. 5 illustrates a block diagram of an exemplary server 12 suitable for use in implementing embodiments of the present invention. The server 12 shown in fig. 5 is only an example, and should not bring any limitation to the function and the scope of use of the embodiment of the present invention.
As shown in FIG. 5, the server 12 is in the form of a general purpose computing device. The components of the server 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 server 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by server 12 and includes both volatile and nonvolatile media, removable and non-removable media.
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. The server 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. 5, and commonly referred to as a "hard drive"). Although not shown in FIG. 5, 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. System 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 system 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 server 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with the server 12, and/or with any devices (e.g., network card, modem, etc.) that enable the server 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, the server 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via the network adapter 20. As shown, the network adapter 20 communicates with the other modules of the server 12 via the bus 18. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the server 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 16 executes programs stored in the system memory 28 to execute various functional applications and data processing, for example, to implement the tracing method of air pollution provided by the embodiment of the present invention.
EXAMPLE six
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the tracing method for air pollution provided by any embodiment of the present invention.
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 and 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).
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 described 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 air pollution, characterized in that the method comprises:
if an air pollution event is monitored, determining a monitoring site to be checked according to the event position of the air pollution event;
analyzing the air quality monitoring data of the monitoring station to be checked, and screening abnormal monitoring stations according to the analysis result;
and determining a pollution source to be detected according to the meteorological data and the site position of the abnormal monitoring site.
2. The method of claim 1, wherein the meteorological data includes a wind speed and a wind direction at a current time;
the method for determining the pollution source to be detected according to the meteorological data and the site position of the abnormal monitoring site comprises the following steps:
determining the range of a pollution source area and the pollutant discharge time according to the station position of the abnormal monitoring station and the wind speed and the wind direction at the current moment;
judging whether a candidate pollution source exists in the range of the pollution source area;
and if so, determining a pollution source to be detected from the candidate pollution sources within the range of the pollution source region.
3. The method of claim 2, wherein determining a source of contamination to be investigated from among the candidate sources of contamination within the area of the source of contamination comprises:
determining whether the candidate pollution source has an illegal emission or over-emission event and whether the candidate pollution source is matched with pollution factors of the air pollution event according to real-time exhaust emission data of the candidate pollution source in the pollution source area range;
and determining the candidate pollution source as a pollution source to be checked under the condition that the candidate pollution source has a steal or superemission event and the candidate pollution source is matched with the pollution factors of the air pollution event.
4. The method of claim 2, wherein determining whether a candidate contamination source exists within the contamination source region further comprises:
if not, matching the real-time production condition of each enterprise in the pollution source area range with the pollutant discharge time;
and determining the enterprises which are successfully matched as the pollution sources to be checked.
5. The method of claim 1, wherein determining the monitored site to be inspected based on the event location of the air pollution event comprises:
determining a range to be checked by taking the event position of the air pollution event as a center and the distance to be checked as a radius;
and selecting the monitoring station within the range to be checked as the monitoring station to be checked.
6. The method of claim 1, further comprising:
acquiring air quality monitoring data of each monitoring station in a big ecological environment data platform;
and if the pollutant concentration in the air quality monitoring data exceeds a first threshold value, generating the air pollution event.
7. The method of claim 6, wherein analyzing the air quality monitoring data of the monitored site to be checked and screening abnormal monitored sites according to the analysis result comprises:
determining air quality monitoring data of the monitoring station to be checked;
if the concentration of the pollutants in the air quality monitoring data of the monitored site to be checked exceeds a second threshold value, determining the monitored site to be checked as an abnormal monitored site; wherein the first threshold is higher than the second threshold.
8. An air pollution tracing apparatus, said apparatus comprising:
the station to be checked determining module is used for determining a station to be checked according to the event position of the air pollution event if the air pollution event is monitored;
the abnormal site screening module is used for analyzing the air quality monitoring data of the monitored site to be checked and screening the abnormal monitored site according to the analysis result;
and the pollution source to be detected determining module is used for determining the pollution source to be detected according to the meteorological data and the site position of the abnormal monitoring site.
9. A server, characterized in that the server comprises:
one or more processors;
a storage device 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 air pollution according to any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of tracing of air pollution according to any one of claims 1 to 7.
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| CN114755367A (en) * | 2022-04-19 | 2022-07-15 | 薛四社 | Environment-friendly pollution monitoring method, system, equipment and medium |
| CN116109118A (en) * | 2023-04-17 | 2023-05-12 | 江苏新睿清智科技有限公司 | Pollution tracing and tracking analysis system and method based on Internet of things |
| CN116128260A (en) * | 2023-04-18 | 2023-05-16 | 山东奥斯瑞特检验检测有限公司 | Data sample-based key enterprise environment analysis method |
| CN116955515A (en) * | 2023-08-04 | 2023-10-27 | 福建省气象信息中心(福建省气象档案馆) | Site position information inspection method and system in meteorological observation data |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114755367A (en) * | 2022-04-19 | 2022-07-15 | 薛四社 | Environment-friendly pollution monitoring method, system, equipment and medium |
| CN114755367B (en) * | 2022-04-19 | 2023-07-25 | 薛四社 | Environment-friendly pollution monitoring method, system, equipment and medium |
| WO2024030525A1 (en) * | 2022-08-03 | 2024-02-08 | Schlumberger Technology Corporation | Automated record quality determination and processing for pollutant emission quantification |
| CN116109118A (en) * | 2023-04-17 | 2023-05-12 | 江苏新睿清智科技有限公司 | Pollution tracing and tracking analysis system and method based on Internet of things |
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| CN116128260A (en) * | 2023-04-18 | 2023-05-16 | 山东奥斯瑞特检验检测有限公司 | Data sample-based key enterprise environment analysis method |
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| CN116955515A (en) * | 2023-08-04 | 2023-10-27 | 福建省气象信息中心(福建省气象档案馆) | Site position information inspection method and system in meteorological observation data |
| CN116955515B (en) * | 2023-08-04 | 2024-04-05 | 福建省气象信息中心(福建省气象档案馆) | Site position information inspection method and system in meteorological observation data |
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