Gridding air monitoring method, system, computer equipment and storage medium
阅读说明：本技术 一种网格化空气监测方法、系统、计算机设备及存储介质 (Gridding air monitoring method, system, computer equipment and storage medium ) 是由 周立明 于 2021-08-05 设计创作，主要内容包括：本发明公开了一种网格化空气监测方法、系统、计算机设备及存储介质,包括监测仪在监测区域的网格化布置,获取空气监测数据、布置点信息、气象信息、风速风向信息和地形数据,数据上传至云平台,云平台对数据进行分析判断、扩散推算以及溯源处理,以及数据可视化展示；不仅能进行超过预设阈值的布置点的预警,还将空气监测数据与地形数据、气象信息以及风速风向信息进行结合以此来进行污染物的扩散推算、污染源的锁定,对空气监测数据进行更加深入的应用,实现了对空气监测更加精准、精细化的管理,为空气质量监管部门以及大气污染防治计划和监管目标提供更加便利的支撑。(The invention discloses a gridding air monitoring method, a gridding air monitoring system, computer equipment and a storage medium, wherein the gridding arrangement of a monitor in a monitoring area is adopted to acquire air monitoring data, arrangement point information, meteorological information, wind speed and wind direction information and topographic data, the data are uploaded to a cloud platform, and the cloud platform is used for analyzing, judging, diffusing, calculating and tracing the data and visually displaying the data; the early warning of the arrangement points exceeding the preset threshold value can be carried out, the air monitoring data, the topographic data, the meteorological information and the wind speed and direction information are combined to carry out diffusion calculation of pollutants and locking of pollution sources, the air monitoring data are applied more deeply, more accurate and fine management of air monitoring is achieved, and more convenient support is provided for air quality supervision departments and air pollution prevention plans and supervision targets.)
1. A gridding air monitoring method is characterized by comprising the following steps:
step S1, arranging a plurality of air monitors in a monitoring area in a gridding mode, and additionally arranging a meteorological monitor and a wind speed and direction sensor at each arrangement point;
step S2, acquiring air monitoring data acquired by each air monitor, arrangement point information corresponding to the air monitor and meteorological information of the arrangement points according to a sampling period; simultaneously acquiring topographic data of the monitoring area and wind speed and direction information of each arrangement point;
step S3, packaging the data and information in the step S2 and uploading the packaged data and information to a cloud platform;
step S4, the cloud platform carries out analysis, judgment, diffusion calculation and source tracing on the uploaded data and information, and correspondingly obtains a judgment result, a diffusion calculation value and a source tracing result;
step S5, performing chart visualization display on the air monitoring data and the judgment results of different arrangement points; and displaying different arrangement points, judgment results corresponding to the arrangement points, diffusion calculation values and source tracing results in the whole monitoring area.
2. The grid air monitoring method according to claim 1, wherein in step S2, the air monitoring data collected by the air monitor includes particulate matter data and pollutant data; the collection process of the particulate matter data is as follows:
carrying out particulate matter detection on the air sample by adopting a PM2.5 sensor and a PM10 sensor to obtain particulate matter data;
the acquisition process of the pollutant data comprises the following steps: filtering the air sample subjected to particulate matter detection; and detecting the filtered air sample by adopting an atmospheric pollutant sensor to obtain pollutant data.
3. The method for grid air monitoring of claim 2, wherein said filtering is performed using an 80 mesh metal screen.
4. The grid air monitoring method according to any one of claims 1to 3, wherein in the step S4, the specific implementation process of the analysis and judgment is as follows:
analyzing the uploaded data and information;
denoising the analyzed data;
comparing the air monitoring data of each arrangement point after denoising with a preset threshold, and if the air monitoring data of each arrangement point is larger than the preset threshold, judging that the arrangement point has pollution exceeding the standard according to a judgment result; otherwise, judging that the arrangement point has no pollution exceeding standard according to a judgment result.
5. The gridding air monitoring method according to any one of claims 1-3, wherein in the step S4, the diffusion estimation is specifically realized by:
combining the meteorological information of all the arrangement points with the topographic data of the monitored area to obtain meteorological topographic data;
arranging the historical air monitoring data of each arrangement point according to the sequence of sampling time to obtain time series air monitoring data;
analyzing and processing the meteorological topographic data and the time series air monitoring data to obtain a pollution diffusion calculation model;
and carrying out real-time diffusion calculation on the air monitoring data of each arrangement point by using a pollution diffusion calculation model to obtain a diffusion calculation value.
6. The gridding air monitoring method according to any one of claims 1to 3, wherein in the step S4, the tracing process is implemented by:
marking the arrangement points of which the air monitoring data exceed a preset threshold;
obtaining a migration path of pollutants in the monitoring process according to the wind speed and direction information and the air monitoring data of each arrangement point;
and locking a pollution source according to the migration path.
7. A gridding air monitoring system is characterized by comprising a plurality of air monitors, a plurality of meteorological monitors, a plurality of wind speed and direction sensors, a control device and a cloud platform; the air monitor, the meteorological monitor and the wind speed and direction sensor are respectively connected with the control device, and the control device is in communication connection with the cloud platform through a wireless communication module;
the air monitors are arranged in a monitoring area in a gridding mode and used for acquiring air monitoring data of each arrangement point;
the meteorological monitor is used for acquiring meteorological information of the corresponding arrangement points;
the wind speed and direction sensor is used for acquiring wind speed and direction information of corresponding arrangement points;
the control device is used for packaging the air monitoring data, the meteorological information, the wind speed and direction information and the information of each arrangement point and then uploading the packaged information to the cloud platform;
the cloud platform comprises a data storage module, a data analysis and judgment module, a diffusion calculation module, a source tracing module, a data display module and an early warning module;
the data storage module is used for storing the uploaded data and information, and storing a judgment result, a diffusion calculation value and a source tracing result;
the data analysis and judgment module is used for analyzing, analyzing and judging the uploaded data and information to obtain a judgment result;
the diffusion calculation module is used for analyzing and processing the analyzed data and the historical air monitoring data to obtain a pollution diffusion calculation model, and applying the pollution diffusion calculation model to perform real-time diffusion calculation of the air monitoring data of each arrangement point to obtain a diffusion calculation value;
the source tracing module is used for obtaining a migration path of the pollutants according to the wind speed and direction information and the air monitoring data of each arrangement point and locking a pollution source according to the migration path;
the data display module is used for carrying out visual chart display on the air monitoring data and the judgment results of different arrangement points; displaying different arrangement points, judgment results corresponding to the arrangement points, diffusion calculation values and source tracing results in the whole monitoring area;
and the early warning module is used for prompting the arrangement points of the air monitoring data exceeding the preset threshold value on the data display module and sending out early warning.
8. The meshed air monitoring system of claim 7, wherein the air monitor includes a sampling module, a detection module, an exhaust mechanism, a positioning module, a control module, and a communication module; the detection module, the positioning module and the communication module are respectively connected with the control module;
the sampling module is used for collecting an air sample;
the detection module is used for carrying out particulate matter detection and pollutant detection on the air sample to obtain particulate matter data and pollutant data;
the positioning module is used for acquiring information of corresponding arrangement points;
the air exhaust mechanism is used for exhausting the detected air sample;
and the control module is used for transmitting the particulate matter data, the pollutant data and the arrangement point information to the control device through the communication module.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements a grid air monitoring method as claimed in any one of claims 1to 6.
10. A storage medium having stored thereon a computer program, characterized in that the program, when being executed by a processor, implements a meshed air monitoring method according to any one of claims 1-6.
Technical Field
The invention relates to the technical field of air monitoring, in particular to a gridding air monitoring method, a gridding air monitoring system, computer equipment and a storage medium.
Background
With the increasing attention of people on environmental protection, the demands on air quality monitoring, traffic network emission monitoring and industrial waste gas monitoring are gradually increased, and the improvement of ecological environment and living conditions of people is urgent. However, the traditional atmospheric monitoring equipment is large in size, high in price, complex in installation and maintenance, and difficult to meet higher and higher monitoring requirements, and along with the continuous improvement of the precision and refinement requirements of atmospheric monitoring, how to realize gridded atmospheric monitoring and analyze atmospheric monitoring data, predict pollution diffusion and trace pollution source to carry out gridded display and reminding, provide more convenient support for atmospheric pollution prevention and control plan and supervision target, and is a problem to be solved urgently.
CN201710156381.6 proposes a multi-component atmospheric environment gridding monitor, which comprises a box body main body, a box body upper cover, a solar cell panel, a solar cell charging management unit, a storage battery, a switching power supply, a main board, a GPRS transmission module, a GPRS antenna, a GPS module, a partition board adapter board, a temperature and humidity sensor, a protective cover, an inlet humidity control unit, an air guide fan, a PM2.5 sensor, a PM10 sensor, a gas sensor unit and a meteorological station, compared with the traditional atmospheric monitoring equipment, the monitor carries out reasonable model selection among a plurality of sensors, controls the humidity condition measured by the sensors, so that the sensor has high accuracy, good stability and strong contrast when monitoring the gridding distribution of the atmospheric points, but the method does not apply the atmospheric monitoring data, and can not effectively provide convenient support for air quality supervision departments and atmospheric pollution prevention and control plans and supervision targets.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a gridding air monitoring method, a gridding air monitoring system, computer equipment and a storage medium, which can realize more accurate and fine management of air monitoring and provide more convenient support for air quality supervision departments and air pollution prevention plans and supervision targets through deep application of air monitoring data.
In a first aspect, the present invention provides a grid air monitoring method, including the following steps:
step S1, arranging a plurality of air monitors in a monitoring area in a gridding mode, and additionally arranging a meteorological monitor and a wind speed and direction sensor at each arrangement point;
step S2, acquiring air monitoring data acquired by each air monitor, arrangement point information corresponding to the air monitor and meteorological information of the arrangement points according to a sampling period; simultaneously acquiring topographic data of the monitoring area and wind speed and direction information of each arrangement point;
step S3, packaging the data and information in the step S2 and uploading the packaged data and information to a cloud platform;
step S4, the cloud platform carries out analysis, judgment, diffusion calculation and source tracing on the uploaded data and information, and correspondingly obtains a judgment result, a diffusion calculation value and a source tracing result;
step S5, performing chart visualization display on the air monitoring data and the judgment results of different arrangement points; and displaying different arrangement points, judgment results corresponding to the arrangement points, diffusion calculation values and source tracing results in the whole monitoring area.
Further, in step S2, the air monitoring data collected by the air monitor includes particulate matter data and pollutant data; the collection process of the particulate matter data is as follows:
carrying out particulate matter detection on the air sample by adopting a PM2.5 sensor and a PM10 sensor to obtain particulate matter data;
the acquisition process of the pollutant data comprises the following steps: filtering the air sample subjected to particulate matter detection; and detecting the filtered air sample by adopting an atmospheric pollutant sensor to obtain pollutant data.
Further, a metal screen mesh of 80 meshes is adopted for the filtration.
Further, in step S4, the specific implementation process of the analysis and judgment is as follows:
analyzing the uploaded data and information;
denoising the analyzed data;
comparing the air monitoring data of each arrangement point after denoising with a preset threshold, and if the air monitoring data of each arrangement point is larger than the preset threshold, judging that the arrangement point has pollution exceeding the standard according to a judgment result; otherwise, judging that the arrangement point has no pollution exceeding standard according to a judgment result.
Further, in step S4, the diffusion estimation is specifically implemented as:
combining the meteorological information of all the arrangement points with the topographic data of the monitored area to obtain meteorological topographic data;
arranging the historical air monitoring data of each arrangement point according to the sequence of sampling time to obtain time series air monitoring data;
analyzing and processing the meteorological topographic data and the time series air monitoring data to obtain a pollution diffusion calculation model;
and carrying out real-time diffusion calculation on the air monitoring data of each arrangement point by using a pollution diffusion calculation model to obtain a diffusion calculation value.
Further, in step S4, the tracing process is implemented as follows:
marking the arrangement points of which the air monitoring data exceed a preset threshold;
obtaining a migration path of pollutants in the monitoring process according to the wind speed and direction information and the air monitoring data of each arrangement point;
and locking a pollution source according to the migration path.
In a second aspect, the invention further provides a grid air monitoring system, which comprises a plurality of air monitors, a plurality of meteorological monitors, a plurality of wind speed and direction sensors, a control device and a cloud platform; the air monitor, the meteorological monitor and the wind speed and direction sensor are respectively connected with the control device, and the control device is in communication connection with the cloud platform through a wireless communication module;
the air monitors are arranged in a monitoring area in a gridding mode and used for acquiring air monitoring data of each arrangement point;
the meteorological monitor is used for acquiring meteorological information of the corresponding arrangement points;
the wind speed and direction sensor is used for acquiring wind speed and direction information of corresponding arrangement points;
the control device is used for packaging the air monitoring data, the meteorological information, the wind speed and direction information and the information of each arrangement point and then uploading the packaged information to the cloud platform;
the cloud platform comprises a data storage module, a data analysis and judgment module, a diffusion calculation module, a source tracing module, a data display module and an early warning module;
the data storage module is used for storing the uploaded data and information, and storing a judgment result, a diffusion calculation value and a source tracing result;
the data analysis and judgment module is used for analyzing, analyzing and judging the uploaded data and information to obtain a judgment result;
the diffusion calculation module is used for analyzing and processing the analyzed data and the historical air monitoring data to obtain a pollution diffusion calculation model, and applying the pollution diffusion calculation model to perform real-time diffusion calculation of the air monitoring data of each arrangement point to obtain a diffusion calculation value;
the source tracing module is used for obtaining a migration path of the pollutants according to the wind speed and direction information and the air monitoring data of each arrangement point and locking a pollution source according to the migration path;
the data display module is used for carrying out visual chart display on the air monitoring data and the judgment results of different arrangement points; displaying different arrangement points, judgment results corresponding to the arrangement points, diffusion calculation values and source tracing results in the whole monitoring area;
and the early warning module is used for prompting the arrangement points of the air monitoring data exceeding the preset threshold value on the data display module and sending out early warning.
Further, the air monitor comprises a sampling module, a detection module, an exhaust mechanism, a positioning module, a control module and a communication module; the detection module, the positioning module and the communication module are respectively connected with the control module;
the sampling module is used for collecting an air sample;
the detection module is used for carrying out particulate matter detection and pollutant detection on the air sample to obtain particulate matter data and pollutant data;
the positioning module is used for acquiring information of corresponding arrangement points;
the air exhaust mechanism is used for exhausting the detected air sample;
and the control module is used for transmitting the particulate matter data, the pollutant data and the arrangement point information to the control device through the communication module.
In a third aspect, the present invention also provides a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the grid air monitoring method according to the first aspect when executing the program.
In a fourth aspect, the present invention also provides a storage medium having stored thereon a computer program which, when executed by a processor, implements the meshed air monitoring method according to the first aspect.
The invention has the beneficial effects that:
according to the grid air monitoring method and system provided by the invention, the plurality of air monitors are arranged in a monitoring area in a grid mode, each arrangement point corresponds to each intersection point in a monitoring area network, the omnibearing current area air quality monitoring is realized, and the subsequent processing error caused by sampling data one side is avoided. The invention can not only carry out early warning of arrangement points exceeding a preset threshold value, but also combine the air monitoring data with topographic data, meteorological information and wind speed and direction information to carry out diffusion calculation of pollutants and locking of pollution sources, carry out deeper application on the air monitoring data, realize more accurate and fine management on air monitoring, and provide more convenient support for air quality supervision departments and air pollution prevention and control plans and supervision targets.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only one embodiment of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
FIG. 1 is a flow chart of a method for monitoring grid air according to an embodiment of the present invention;
FIG. 2 is a flow chart of the detection of an air monitor according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating processing and displaying of uploaded data by a cloud platform according to an embodiment of the present invention;
fig. 4 is a block diagram of a grid air monitoring system according to an embodiment of the present invention.
Detailed Description
The technical solutions in the present invention are clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The technical solution of the present application will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
In a first aspect, as shown in fig. 1, the present invention provides a grid air monitoring method, including the following steps:
and step S1, arranging a plurality of air monitors in a monitoring area in a gridding mode, and additionally arranging a meteorological monitor and a wind speed and direction sensor at each arrangement point.
And gridding and dividing the monitoring area, taking the intersection point of each grid as a distribution point, and arranging an air monitor, an meteorological monitor and a wind speed and wind direction sensor at each distribution point.
Step S2, acquiring air monitoring data acquired by each air monitor, arrangement point information corresponding to the air monitor and meteorological information of the arrangement point according to the sampling period; and simultaneously acquiring topographic data of the monitored area and wind speed and direction information of each arrangement point.
Each air monitor performs continuous detection of air quality according to a set fixed sampling period, in this embodiment, the sampling period is 5min or 30 min.
As shown in fig. 2, the air monitoring data collected by the air monitor includes particulate matter data and pollutant data; the acquisition process of the particle data comprises the following steps:
and (3) carrying out particulate matter detection on the air sample by adopting a PM2.5 sensor and a PM10 sensor to obtain particulate matter data. The PM2.5 sensor and the PM10 sensor utilize laser scattering principles and algorithms to accurately measure different types of dust and other particulate matter, can measure particles in the 1to 1000 μ g/m3 range, and store the particulate matter data in the control module of the air monitor.
The acquisition process of the pollutant data comprises the following steps: filtering the air sample subjected to particulate matter detection; and detecting the filtered air sample by adopting an atmospheric pollutant sensor to obtain pollutant data, and storing the pollutant data into a control module of the air monitor. In this example, a 80-mesh metal mesh was used for filtration.
The atmospheric pollutant sensor includes: o is3Sensor, NO2Sensor, SO2Sensors, CO sensors, etc.
The manner of acquiring the terrain data of the monitored area may be that after the survey crew measures the terrain data, the terrain data is acquired through a data importing manner, or may be acquired through a GIS (Geographic Information System) technology. The terrain data file generated after acquisition may be, but is not limited to, a point file based on coordinate point data or a dwg format file based on elevation data.
And the wind speed and direction sensor of each arrangement point acquires wind speed and direction information of the arrangement point.
And step S3, packaging the data and the information in the step S2 and uploading the packaged data and information to a cloud platform.
Each data and information are uploaded to the cloud platform in a wireless communication mode, and the wireless communication mode can adopt communication modes such as NB IOT, 3G, 4G and 5G.
Step S4, the cloud platform performs analysis, judgment, diffusion calculation, and tracing on the uploaded data and information, and correspondingly obtains a judgment result, a diffusion calculation value, and a tracing result.
As shown in fig. 3, the process of analyzing and processing the uploaded data and information by the cloud platform includes an analysis and judgment process, a diffusion calculation process, and a source tracing process.
In step S31, the specific implementation process of the analysis and judgment is as follows:
step S311, analyzes the uploaded data and information. The uploaded data and information are transmitted to the cloud platform in a compressed packet form, and before analysis processing, the compressed packet is decompressed and analyzed to obtain air monitoring data, meteorological information, wind speed and direction information, position information and topographic data of the whole monitoring area of each arrangement point.
Step S312, performing denoising processing on the analyzed data. The denoising processing is mainly used for removing redundant data and error data, and the influence of the redundant data and the error data on the monitoring result is avoided.
Step S313, comparing the air monitoring data of each arrangement point after denoising with a preset threshold, and if the air monitoring data is greater than the preset threshold, judging that the arrangement point has pollution exceeding the standard; otherwise, judging that the arrangement point has no pollution exceeding standard according to a judgment result.
The preset threshold value can be set according to the environmental requirement index of each arrangement point, the preset threshold value corresponding to each arrangement point can be the same or different, and when the preset threshold value is compared, the air monitoring data of the arrangement point is compared with the preset threshold value corresponding to the arrangement point. The arrangement points with the pollution exceeding the standard can not only carry out visual chart display, but also carry out early warning prompt.
In step S32, the diffusion estimation is specifically implemented as follows:
step S321, combining the meteorological information of all the arrangement points and the topographic data of the monitored area to obtain meteorological topographic data. Weather information and terrain for each deployment point may be obtained based on the weather-terrain data.
Step S322, arranging the historical air monitoring data of each arrangement point according to the sequence of sampling time to obtain time series air monitoring data. Because all the air monitoring data are sampled and acquired according to the fixed sampling period, the air monitoring data are arranged according to the sequence of the sampling time, and the change process of the air monitoring data in the whole monitoring process, namely the time-series air monitoring data, can be acquired.
And step S323, analyzing and processing the meteorological topographic data and the time series air monitoring data to obtain a pollution diffusion calculation model. In this embodiment, a CALPUFF model is used as a pollution model to simulate a pollutant diffusion rule, thereby completing a pollutant diffusion calculation function. The CALPUFF model is a multi-layer and multi-field-free smoke mass diffusion model and can simulate the process of conveying, converting and removing pollutants in the atmospheric environment when a three-dimensional flow field changes along with time and space. The CALPUFF model is suitable for simulation scales in the range of several kilometers to several hundred kilometers.
Step S324, a pollution diffusion calculation model is used for carrying out real-time diffusion calculation on the air monitoring data of each arrangement point to obtain a diffusion calculation value.
In step S33, the tracing process is implemented as follows:
step S331, marking the arrangement points where the air monitoring data exceeds the preset threshold.
And S332, obtaining a migration path of the pollutants in the monitoring process according to the wind speed and direction information and the air monitoring data of each arrangement point.
And S333, locking a pollution source according to the migration path and by combining air monitoring data of the arrangement point, so as to trace the pollution source.
Step S5, performing chart visualization display on the air monitoring data and the judgment results of different arrangement points; and displaying different arrangement points, judgment results corresponding to the arrangement points, diffusion calculation values and source tracing results in the whole monitoring area.
And the cloud platform carries out classified storage on the acquired air monitoring data, meteorological information, wind speed and direction information, judgment results, predicted diffusion calculation values and source tracing results according to arrangement points so as to be called during subsequent calculation.
In a second aspect, as shown in fig. 4, the invention further provides a grid air monitoring system, which includes a plurality of air monitors, a plurality of meteorological monitors, a plurality of wind speed and direction sensors, a control device and a cloud platform; the air monitor, the meteorological monitor and the wind speed and direction sensor are respectively connected with the control device, and the control device is in communication connection with the cloud platform through the wireless communication module.
A plurality of air monitors are arranged at each intersection of the monitoring area grid in a gridded form, and the air monitors are used for acquiring air monitoring data of each arrangement point and position information (namely arrangement point information) of the arrangement points.
The meteorological monitor is used for acquiring meteorological information of the corresponding arrangement points.
And the wind speed and direction sensor is used for acquiring wind speed and direction information of the corresponding arrangement points.
The control device is used for packaging the air monitoring data, the meteorological information, the wind speed and direction information and the information of each arrangement point and then uploading the packaged information to the cloud platform.
The cloud platform comprises a data storage module, a data analysis and judgment module, a diffusion calculation module, a source tracing module, a data display module and an early warning module.
The data storage module is used for storing the uploaded data and information, storing the judgment result, the diffusion calculation value and the source tracing result, and storing all the data in a classified mode according to the arrangement points.
The data analysis and judgment module is used for analyzing, analyzing and judging the uploaded data and information to obtain a judgment result, namely comparing the air monitoring data of each arrangement point with a preset threshold value, and if the air monitoring data is larger than the preset threshold value, judging that the arrangement point has pollution exceeding the standard; otherwise, judging that the arrangement point has no pollution exceeding standard according to a judgment result.
And the diffusion calculation module is used for analyzing and processing the analyzed data and the historical air monitoring data to obtain a pollution diffusion calculation model, and applying the pollution diffusion calculation model to perform real-time diffusion calculation of the air monitoring data of each arrangement point to obtain a diffusion calculation value.
The source tracing module is used for obtaining migration paths of pollutants according to the wind speed and direction information and the air monitoring data of each arrangement point and locking pollution sources according to the migration paths.
The data display module is used for carrying out visual chart display on the air monitoring data and the judgment results of different arrangement points; and displaying different arrangement points, judgment results corresponding to the arrangement points, diffusion calculation values and source tracing results in the whole monitoring area.
And the early warning module is used for prompting the arrangement points of the air monitoring data exceeding the preset threshold value on the data display module and sending out early warning.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention. It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.