阅读说明：本技术 大气污染监测系统的数据校准方法和大气污染监测系统 (The data calibration method and air pollution surveillance system of air pollution surveillance system ) 是由 尹文君 汤宇佳 田启明 何苗 谢保国 徐炜达 王伟 邹克旭 程文晨 黄思 张研 于 2019-07-23 设计创作，主要内容包括：本发明公开了一种大气污染监测系统的数据校准方法、大气污染监测系统、存储介质及计算机设备。其中方法包括：获取多个标准监测站监测到的污染物浓度数据；获取与多个标准监测站在同一监测点位的微型监测站监测到的污染物浓度数据；根据多个标准监测站监测到的污染物浓度数据和与多个标准监测站在同一监测点位的微型监测站监测到的污染物浓度数据,建立污染物浓度校准模型；将监测区域的微型监测站监测到的污染物浓度数据输入训练后的污染物浓度校准模型中,输出污染物浓度校准数据。上述方法利用大数据技术和人工智能技术,减少了微型监测站的监测结果误差,保证了其投入到实际运行中能够获得可靠的监测结果。(The invention discloses a kind of data calibration method of air pollution surveillance system, air pollution surveillance system, storage medium and computer equipments.Wherein method includes: the pollutant concentration data for obtaining multiple standard monitoring stations and monitoring；Obtain the pollutant concentration data monitored with multiple standard monitoring stations in the miniature monitoring station of same monitoring site；The pollutant concentration data monitored according to multiple standard monitoring stations and the pollutant concentration data monitored with multiple standard monitoring stations in the miniature monitoring station of same monitoring site, establish pollutant concentration calibrating patterns；In pollutant concentration calibrating patterns after the pollutant concentration data input training that the miniature monitoring station for monitoring region is monitored, pollutant concentration calibration data is exported.The above method utilizes big data technology and artificial intelligence technology, reduces the monitoring result error of miniature monitoring station, ensure that it is put into can obtain reliable monitoring result in actual motion.)

1. a kind of data calibration method of air pollution surveillance system, which is characterized in that the described method includes:

Obtain the pollutant concentration data that multiple standard monitoring stations monitor；

Obtain the pollutant concentration data monitored with the multiple standard monitoring station in the miniature monitoring station of same monitoring site；

The pollutant concentration data that are monitored according to the multiple standard monitoring station and with the multiple standard monitoring station same The pollutant concentration data that the miniature monitoring station of monitoring site monitors, establish pollutant concentration calibrating patterns；

Pollutant concentration calibrating die after the pollutant concentration data input training that the miniature monitoring station for monitoring region is monitored In type, pollutant concentration calibration data is exported.

2. the data calibration method of air pollution surveillance system according to claim 1, which is characterized in that it is described acquisition with It is also wrapped after the pollutant concentration data that the miniature monitoring station of same monitoring site monitors at the multiple standard monitoring station It includes:

Obtain the satellite remote sensing date and meteorological data in monitoring region；

The pollutant concentration data that are then monitored according to the multiple standard monitoring station and with the multiple standard monitoring station same The pollutant concentration data that the miniature monitoring station of one monitoring site monitors, establish pollutant concentration calibrating patterns, comprising:

The satellite remote sensing date and meteorological data are pre-processed；

The pollutant concentration data that are monitored according to the multiple standard monitoring station and with the multiple standard monitoring station same The pollutant concentration data and pretreated satellite remote sensing date that the miniature monitoring station of monitoring site monitors are gentle Image data establishes pollutant concentration calibrating patterns by regression analysis.

3. the data calibration method of air pollution surveillance system according to claim 2, which is characterized in that the method is also Include:

The pollutant verifying the pollutant concentration calibration data and monitoring with the standard monitoring station in same monitoring site is dense Whether difference of the degree between be in preset threshold；

If it is not, then readjusting the parameter of the pollutant concentration calibrating patterns, and re-establish the pollutant concentration calibration Model.

4. the data calibration method of air pollution surveillance system according to claim 1-3, which is characterized in that

The miniature monitoring station monitors the pollutant concentration data in atmosphere by laser scattering method；

The standard monitoring station monitors the pollutant concentration data in atmosphere by micro oscillation sedimentation balance method and β ray method.

5. the data calibration method of air pollution surveillance system according to claim 4, which is characterized in that the miniature prison The density of setting of survey station is greater than the density of setting at the standard monitoring station.

6. a kind of air pollution surveillance system, which is characterized in that the system comprises:

Grid dividing device is divided into multiple regions grid for that will monitor region；

Miniature monitoring station is set in each grid in the monitoring region, for monitoring the pollutant in the grid of each region Concentration data；

Data acquisition facility, for obtain the monitoring pollutant concentration data that monitor of the multiple standard monitoring stations in region and with institute State the pollutant concentration data that multiple standard monitoring stations are monitored in the miniature monitoring station of same monitoring site；

Model training apparatus, pollutant concentration data for being monitored according to the multiple standard monitoring station and with it is the multiple The pollutant concentration data that standard monitoring station is monitored in the miniature monitoring station of same monitoring site, establish pollutant concentration Calibrating patterns；

As a result generating means, the pollutant concentration data for monitoring other the miniature monitoring stations for monitoring region input training In pollutant concentration calibrating patterns afterwards, pollutant concentration calibration data is exported.

7. air pollution surveillance system according to claim 6, which is characterized in that the miniature monitoring station includes

Laser source, for generating incident ray；

Photosensitive unit, the scattering light generated after atmospheric scattering for receiving the incident ray；

Controller is big for being calculated according to the incident ray and the scattering light generated after atmospheric scattering Pollutant concentration data in gas；

Communication module, the pollutant concentration data for will monitor are sent to the data acquisition facility.

8. air pollution surveillance system according to claim 6, which is characterized in that be all provided in each described area grid It is equipped at least one miniature monitoring station.

9. a kind of storage medium, is stored thereon with computer program, which is characterized in that the computer program is executed by processor The step of method described in Shi Shixian any one of claims 1 to 5.

10. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor Calculation machine program, which is characterized in that the computer program is realized described in any one of claims 1 to 5 when being executed by processor Method the step of.

Technical field

The present invention relates to environmental monitoring field, more particularly, to a kind of air pollution surveillance system data calibration method, Air pollution surveillance system, storage medium and computer equipment.

Background technique

In today that science and technology makes constant progress, the people lived on this piece soil increasingly pay close attention to the dirt of environment at one's side Dye problem also focuses more on these natural environments closely bound up with our life of soil, water body and atmosphere, among these, The atmosphere polluting problems such as the quick-fried table of PM2.5 are one of the hot issues that people most pay close attention in recent years, but regrettably, due to big Gas pollution monitoring it is both costly and inefficient, the form of air contaminant treatment is still very severe.

Monitoring of traditional air pollution surveillance system to atmosphere pollution, mainly by ground install standard monitoring station come It realizes, these standard monitoring station equipments are superior, and data monitoring result precision is higher, and abnormal data is not easy to occur, but cost It is high and single, discrete, it is difficult to arranged in high density, so being unsuitable for monitoring on a large scale；Although and novel miniature monitoring station It is compact, cheap and easy to use, but monitoring result is vulnerable to particulate matter size, density, shape and optical characteristics etc. Many factors influence, therefore monitoring result is not accurate enough.

Summary of the invention

The present invention provides one kind can obtain accurate monitoring result air pollution surveillance system data calibration method, Air pollution surveillance system, storage medium and computer equipment.

According to the first aspect of the invention, a kind of data calibration method of air pollution surveillance system, this method are provided Include:

Obtain the pollutant concentration data that multiple standard monitoring stations monitor；

Obtain the pollutant concentration data monitored with multiple standard monitoring stations in the miniature monitoring station of same monitoring site；

The pollutant concentration data that are monitored according to multiple standard monitoring stations and with multiple standard monitoring stations in same monitoring The pollutant concentration data that the miniature monitoring station of point monitors, establish pollutant concentration calibrating patterns；

Pollutant concentration school after the pollutant concentration data input training that the miniature monitoring station for monitoring region is monitored In quasi-mode type, pollutant concentration calibration data is exported.

According to the second aspect of the invention, a kind of air pollution surveillance system is provided, which includes:

Grid dividing device is divided into multiple regions grid for that will monitor region；

Miniature monitoring station is set in each grid in monitoring region, for monitoring the pollutant in the grid of each region Concentration data；

Data acquisition facility, for obtain the monitoring pollutant concentration data that monitor of the multiple standard monitoring stations in region and The pollutant concentration data monitored with multiple standard monitoring stations in the miniature monitoring station of same monitoring site；

Model training apparatus, pollutant concentration data for being monitored according to the multiple standard monitoring station and with it is described The pollutant concentration data that multiple standard monitoring stations are monitored in the miniature monitoring station of same monitoring site, establish pollutant Concentration calibration model；

As a result generating means, the pollutant concentration data input for monitoring other the miniature monitoring stations for monitoring region In pollutant concentration calibrating patterns after training, pollutant concentration calibration data is exported.

In terms of third according to the present invention, a kind of storage medium is provided, computer program, the journey are stored thereon with The data calibration method of above-mentioned air pollution surveillance system is realized when sequence is executed by processor.

According to the fourth aspect of the present invention, a kind of computer equipment is provided, including memory, processor and is stored in On reservoir and the computer program that can run on a processor, the processor perform the steps of when executing described program

Obtain the pollutant concentration data that multiple standard monitoring stations monitor；

Obtain the pollutant concentration data monitored with multiple standard monitoring stations in the miniature monitoring station of same monitoring site；

The pollutant concentration data that are monitored according to multiple standard monitoring stations and with multiple standard monitoring stations in same monitoring The pollutant concentration data that the miniature monitoring station of point monitors, establish pollutant concentration calibrating patterns；

Pollutant concentration school after the pollutant concentration data input training that the miniature monitoring station for monitoring region is monitored In quasi-mode type, pollutant concentration calibration data is exported.

A kind of data calibration method of air pollution surveillance system provided by the invention, air pollution surveillance system, calculating Machine equipment and storage medium, the present invention obtain the pollutant concentration data that multiple standard monitoring stations monitor first, then obtain The pollutant concentration data monitored with multiple standard monitoring stations in the miniature monitoring station of same monitoring site are taken, and then according to upper It states data and establishes pollutant concentration calibrating patterns, finally according to the pollutant concentration data after the model output calibration after training. Data calibration method, air pollution surveillance system, computer equipment and the storage medium of above-mentioned air pollution surveillance system utilize The data that the lower miniature monitoring station of precision monitors are calibrated, are reduced micro- by big data technology and artificial intelligence technology The monitoring result error of type monitoring station, ensure that it is put into can obtain reliable monitoring result in actual motion, and then really The supervision effect of monitoring region air environmental pollution is protected.

Above description is only the general introduction of technical scheme, in order to better understand the technological means of the application, And it can be implemented in accordance with the contents of the specification, and in order to allow above and other objects, features and advantages of the application can It is clearer and more comprehensible, below the special specific embodiment for lifting the application.

Detailed description of the invention

The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:

The process that Fig. 1 shows a kind of data calibration method of air pollution surveillance system provided in an embodiment of the present invention is shown It is intended to；

Fig. 2 shows the processes of the data calibration method of another air pollution surveillance system provided in an embodiment of the present invention Schematic diagram；

Fig. 3 shows a kind of structural schematic diagram of air pollution surveillance system provided in an embodiment of the present invention；

Fig. 4 shows a kind of structural schematic diagram of miniature monitoring station provided in an embodiment of the present invention.

Specific embodiment

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings and in combination with Examples.It should be noted that not conflicting In the case of, the features in the embodiments and the embodiments of the present application can be combined with each other.

To solve the above-mentioned problems, the embodiment of the invention provides a kind of data calibration sides of air pollution surveillance system Method, this method can be applied in the computer equipments such as computer, mobile terminal, as shown in Figure 1, method includes the following steps:

101, the pollutant concentration data that multiple standard monitoring stations monitor are obtained；

Wherein, standard monitoring station includes the air quality monitoring equipment for meeting preassigned technical requirements, such as is penetrated based on β The equipment of collimation method or micro oscillation sedimentation balance method construction.For small miniature monitoring station, the equipment at standard monitoring station is superior, data prison Survey result precision is also higher, and abnormal data is not easy to occur, but this equipment cost is high, it is difficult to arranged in high density, so not Suitable for monitoring on a large scale.

Specifically, computer equipment can get what multiple standard monitoring stations monitored by internet or communication device Pollutant concentration data, in the present embodiment, the pollutant concentration data got are that the difference meteorology of different zones is arranged in Multiple groups pollutant concentration data under condition and different periods.

102, the pollutant concentration monitored with multiple standard monitoring stations in the miniature monitoring station of same monitoring site is obtained Data；

Wherein, miniature monitoring station is generally basede on light scattering principle and is made, it recycles quality by measurement scattered light intensity Concentration data conversion coefficient calculates the particulate matter quality concentration data in atmosphere.For comparison with standard monitoring station, miniature monitoring station It is small in size, light-weight, can be with the pollutant situation in automatic monitor for continuously surrounding air, but the monitoring result of miniature monitoring station is easy It is influenced by many factors such as particulate matter size, density, shape and optical characteristics, therefore measurement result and practical situation exist Certain difference.

It in the present embodiment, can be according to scheduled length value and width for the ease of accurately being monitored to monitoring region Monitoring area is divided into multiple regions grid by angle value, and can be according to the position for polluting incidental position or pollution sources concentration It sets and one or more miniature monitoring stations is set in area grid.In the present embodiment, dirt can be monitored in real time in miniature monitoring station Object concentration is contaminated, data monitoring is such as carried out using minute rank, the pollutant concentration data monitored can mould by wireless communication Block real-time Transmission allows computer equipment to get the pollutant concentration in the grid of each region in real time into computer equipment Monitoring data.

Specifically, according to the actual situation, multiple miniature monitoring stations can be arranged around standard monitoring station, wherein micro- Type monitoring station and standard monitoring station are arranged on same monitoring site, and in general, the distance between two kinds of monitoring devices are 100 Within rice.It, can be with by obtaining the pollutant concentration monitored in the miniature monitoring station of same monitoring site with standard monitoring station Very easily two kinds of data are compared, to find the association between two kinds of data.It is understood that for comparing Data be the multiple groups pollutant monitored of miniature monitoring station and standard monitoring station under same meteorological condition and same period Concentration data.

103, the pollutant concentration data that are monitored according to multiple standard monitoring stations and with multiple standard monitoring stations same The pollutant concentration data that the miniature monitoring station of monitoring site monitors, establish pollutant concentration calibrating patterns；

Specifically, pollutant concentration calibrating patterns can be established using regression analysis, it is as follows to fit regression equation:

Q=k+a × X1+b × X2+c × X3+ ...

Wherein, Q is pollutant concentration calibration data, and k is constant, and X1 is the first fitting coefficient, and X2 is the second fitting coefficient, X3 is third fitting coefficient.Wherein, the pollutant concentration calibrating patterns of foundation can reflect the pollution that miniature monitoring station monitors The incidence relation between pollutant concentration data that object concentration data and standard monitoring station monitor.

104, the pollutant after the pollutant concentration data input training monitored the miniature monitoring station for monitoring region is dense It spends in calibrating patterns, exports pollutant concentration calibration data.

Specifically, the pollutant concentration number that the miniature monitoring station in each region grid for monitoring region can be monitored According in the pollutant concentration calibrating patterns being input to after training, the pollutant concentration calibration data in the grid of each region is exported, To realize that the atmospheric environment to monitoring region carries out comprehensive fine control.

Comparison with standard monitoring station can only get single, discrete pollutant concentration data, provide in this implementation miniature Monitoring station grid can obtain more comprehensively and accurately pollutant concentration data, have both comprehensively and the satellite of accurate two advantages Monitoring station grid, can further obtain more valuable information, such as the source that occurs of atmosphere pollution, atmosphere pollution are serious The real time status etc. that hot spot region, the path of atmosphere pollution transmission and atmosphere pollution occur.

Further, as the refinement and extension of above-described embodiment specific embodiment, in order to completely illustrate the present embodiment Implementation process, provide the data calibration method of another air pollution surveillance system, as shown in Fig. 2, this method comprises:

201, the pollutant concentration data that multiple standard monitoring stations monitor are obtained.

Specifically, computer equipment can get what multiple standard monitoring stations monitored by internet or communication device Pollutant concentration data, further, the pollutant concentration data got are that the DIFFERENT METEOROLOGICAL CONDITIONS of different zones is arranged in With the multiple groups pollutant concentration data under different periods.In the present embodiment, standard monitoring station includes meeting preassigned technology It is required that air quality monitoring equipment, such as the equipment constructed based on β ray method or micro oscillation sedimentation balance method.

202, the pollutant monitored with the multiple standard monitoring station in the miniature monitoring station of same monitoring site is obtained Concentration data.

Specifically, the available pollutant concentration data monitored to miniature monitoring station of computer equipment, wherein obtain The miniature monitoring station and standard monitoring station of data are arranged on same monitoring site, in general, between two kinds of monitoring devices Distance is within 100 meters.By obtaining the pollutant monitored with standard monitoring station in the miniature monitoring station of same monitoring site Concentration can very easily compare two kinds of data, to find the association between two kinds of data.In the present embodiment In, miniature monitoring station is made based on light scattering principle, it recycles mass concentration data conversion system by measurement scattered light intensity Number, can calculate the particulate matter quality concentration data in atmosphere.

203, the satellite remote sensing date and meteorological data in monitoring region are obtained.

Specifically, server can directly acquire monitoring by Satellite Observations library, meteorogical phenomena database disclosed in network The satellite remote sensing date and meteorological data in region can also obtain monitoring region by satellite monitoring department or environmentally friendly meteorological department Satellite remote sensing date and meteorological data.Wherein, satellite remote sensing date includes but is not limited on Terra, Aqua satellite in the U.S. The OMI data that are obtained in the MODIS data of acquisition, Aura satellite, Europe Sentinel data, U.S.'s Landsat8 data and The satellite remote-sensing images data such as Japanese No. eight Himawari-8 satellite datas of sunflower；Meteorological data includes but is not limited to monitor region The data such as wind speed, wind direction, precipitation, relative humidity and the temperature of each monitoring period of time.

204, the satellite remote sensing date and meteorological data are pre-processed.

Specifically, computer equipment can pass through the sides such as radiation calibration, atmospheric correction, image joint and image cutting first Method obtains aerosol data, and the aerosol data of acquisition is then obtained aerosol optical thickness by the dark pixel method after extension After finally aerosol optical depth progress humidity is corrected and vertically corrected, monitoring region is calculated using statistical method in degree PM2.5 distribution situation.In addition to this, server can also be monitored the Entity recognition in region by satellite remote sensing date, For example identify that water body, farmland, vegetation, traffic, dense population areas and the factory in monitoring region are intensive using satellite remote sensing date Area, to navigate to the specific location of the pollution sources such as factory.

Specifically, computer equipment can be according to wind speed, the wind direction, precipitation, phase of monitoring each monitoring period of time of region It is monitoring region division meteorological condition to data such as humidity and temperature, wherein different meteorological conditions corresponds to different weather Situation, meteorological condition can specifically be retouched by meteorologic parameters such as wind speed, wind direction, air themperature, air humidity, atmospheric pressures It states.Further, it is inputted in meteorologic model and atmospheric quality models, can be monitored by the way that the meteorological condition in region will be monitored The pollutant spatial distribution data in region and greatest contamination object concentration position.It should be noted that different meteorological items It is different for the same spatial distribution for monitoring the pollutant concentration that region is simulated under part.

205, by regression analysis, pollutant concentration calibrating patterns are established.

Specifically, pollutant concentration calibrating patterns can be established using regression analysis, it is as follows to fit regression equation:

Q=k+a × X1+b × X2+c × X3+ ...

Wherein, Q is pollutant concentration calibration data, and k is constant, and X1 is the pollutant concentration number that miniature monitoring station monitors According to the fitting coefficient of the pollutant concentration data monitored with standard monitoring station, X2 is that the pollutant that miniature monitoring station monitors is dense For degree according to the fitting coefficient with satellite remote sensing date, X3 is the pollutant concentration data and meteorological data that miniature monitoring station monitors Fitting coefficient.

Regression equation may also include the pollutant concentration data that miniature monitoring station monitors and the fit correlation of other data, Such as time, season etc..

206, it verifies the pollutant concentration calibration data and is monitored with the standard monitoring station in same monitoring site Whether the difference between pollutant concentration data is in preset threshold；

Specifically, the data wander that the variation and equipment itself due to natural causes such as season, time, weather generate, The pollutant concentration calibrating patterns tentatively established may be not accurate enough, therefore, can be by the pollutant concentration school of initial training The pollutant concentration data that the pollutant concentration calibration data of quasi-mode type output is monitored with standard monitoring station compare, and verify Whether the difference of two kinds of data is in preset threshold.It should be noted that the acquisition condition of two kinds of data should be consistent, i.e. the two number Time conditions when according to acquisition should be consistent with meteorological condition.

207, if it is not, then readjusting the parameter of the pollutant concentration calibrating patterns, and the pollutant is re-established Concentration calibration model.

Specifically, if pollutant concentration data and the pollutant concentration data that monitor of standard monitoring station after calibration Difference is in preset threshold range, then pollutant concentration calibrating patterns meet requirement.If the pollutant concentration after calibration The difference for the pollutant concentration data that data and standard monitoring station monitor then is needed beyond preset threshold to pollutant concentration school Quasi-mode type is modified, until pollutant concentration calibrating patterns are met the requirements.

It should be noted that in practical work process, since detection process will necessarily have either large or small error, very Pollutant concentration data and standard monitoring data after being difficult to guarantee calibration can be fitted completely, the pollutant concentration data after calibration There can be difference between standard monitoring data, in the present embodiment, according to actual working condition, when pollutant concentration is calibrated It is all in reality that the mean difference of data and standard monitoring data, which carries out small floating in threshold value (such as threshold value is 1) range, Allow in operating process.

208, the pollutant after the pollutant concentration data input training monitored the miniature monitoring station for monitoring region is dense It spends in calibrating patterns, exports pollutant concentration calibration data.

Specifically, the pollutant concentration number that the miniature monitoring station in each region grid for monitoring region can be monitored According in the pollutant concentration calibrating patterns being input to after training, the pollutant concentration calibration data in the grid of each region is exported, To realize that the atmospheric environment to monitoring region carries out comprehensive fine control.

The present embodiment obtains the pollutant concentration data that multiple standard monitoring stations monitor first, then obtain with it is multiple The pollutant concentration data that standard monitoring station is monitored in the miniature monitoring station of same monitoring site, and then built according to above-mentioned data Vertical pollutant concentration calibrating patterns, finally according to the pollutant concentration data after the model output calibration after training.The above method Using big data technology and artificial intelligence technology, the data that the lower miniature monitoring station of precision monitors are calibrated, are reduced The monitoring result error of miniature monitoring station, to ensure that it is put into can obtain reliable monitoring result in actual motion, into And ensure the supervision effect of monitoring region air environmental pollution.

Further, the specific implementation as method shown in Fig. 1, Fig. 2 present embodiments provides a kind of air monitoring System, as shown in figure 3, the device includes: grid dividing device 31, miniature monitoring station 32, data acquisition facility 33, model training Device 34, result generating means 35, in which:

Grid dividing device 31 is divided into multiple regions grid for that will monitor region；

Miniature monitoring station 32 is set in each grid in monitoring region, for monitoring the pollution in the grid of each region Object concentration data；

Data acquisition facility 33, for obtain the monitoring pollutant concentration data that monitor of the multiple standard monitoring stations in region with And the pollutant concentration data monitored with multiple standard monitoring stations in the miniature monitoring station of same monitoring site；

Model training apparatus 34, pollutant concentration data for being monitored according to multiple standard monitoring stations and with multiple marks The pollutant concentration data that quasi- monitoring station is monitored in the miniature monitoring station of same monitoring site, establish pollutant concentration school Quasi-mode type；

As a result generating means 35, the pollutant concentration data for monitoring other the miniature monitoring stations for monitoring region are defeated In pollutant concentration calibrating patterns after entering training, pollutant concentration calibration data is exported.

In specific application scenarios, the satellite remote sensing date that data acquisition facility 33 is also used to obtain monitoring region is gentle Image data；Model training apparatus 34 is also used to pre-process the satellite remote sensing date and meteorological data, and according to multiple Pollutant concentration data that standard monitoring station monitors and with multiple standard monitoring stations in the miniature monitoring station of same monitoring site The pollutant concentration data and pretreated satellite remote sensing date and meteorological data monitored are built by regression analysis Vertical pollutant concentration calibrating patterns.

In specific application scenarios, model training apparatus 34 be also used to verify pollutant concentration calibration data and with same Whether the difference between pollutant concentration data that the standard monitoring station of one monitoring site monitors is in preset threshold；If it is not, The parameter of pollutant concentration calibrating patterns is then readjusted, and re-establishes pollutant concentration calibrating patterns.

In specific application scenarios, as shown in figure 4, miniature monitoring station 32 includes laser source 41, photosensitive unit 42, control Device 43 and communication module 44, in which:

Laser source 41, for generating incident ray；

Photosensitive unit 42, the scattering light generated after atmospheric scattering for receiving incident ray；

Controller 43, for being calculated according to incident ray and the scattering light generated after atmospheric scattering Pollutant concentration data in atmosphere；

Communication module 44, the pollutant concentration data for will monitor are sent to data acquisition facility.

It should be noted that each functional unit involved by a kind of air pollution surveillance system provided in this embodiment is other Corresponding description, can be with reference to the corresponding description in Fig. 1, Fig. 2, and details are not described herein.

It is deposited thereon based on above-mentioned method as shown in Figure 1 and Figure 2 correspondingly, the present embodiment additionally provides a kind of storage medium Computer program is contained, which realizes above-mentioned air pollution surveillance system as shown in Figure 1 and Figure 2 when being executed by processor Data calibration method.

Based on this understanding, the technical solution of the application can be embodied in the form of software products, this is to be identified Software product can store in a non-volatile memory medium (can be CD-ROM, USB flash disk, mobile hard disk etc.), if including Dry instruction is used so that a computer equipment (can be personal computer, server or the network equipment etc.) executes this Shen It please method described in each implement scene.

Based on above-mentioned method as shown in Figure 1 and Figure 2 and Fig. 3 and system shown in Fig. 4 and miniature monitoring station embodiment, To achieve the goals above, the present embodiment additionally provides a kind of entity device of the data calibration of air pollution surveillance system, tool Body can be personal computer, server, smart phone, tablet computer, smartwatch or other network equipments etc., the reality Body equipment includes storage medium and processor；Storage medium, for storing computer program；Processor, for executing computer Program is to realize above-mentioned method as shown in Figure 1 and Figure 2.

Optionally, which can also include user interface, network interface, camera, radio frequency (Radio Frequency, RF) circuit, sensor, voicefrequency circuit, WI-FI module etc..User interface may include display screen (Display), input unit such as keyboard (Keyboard) etc., optional user interface can also connect including USB interface, card reader Mouthful etc..Network interface optionally may include standard wireline interface and wireless interface (such as WI-FI interface).

It will be understood by those skilled in the art that a kind of data calibration of air pollution surveillance system provided in this embodiment Entity device structure does not constitute the restriction to the entity device, may include more or fewer components, or combination is certain Component or different component layouts.

It can also include operating system, network communication module in storage medium.Operating system is the above-mentioned entity device of management The program of hardware and software resource to be identified supports the operation of message handling program and other softwares to be identified and/or program. Network communication module for realizing the communication between each component in storage medium inside, and with it is other in information processing entities equipment It is communicated between hardware and software.

Through the above description of the embodiments, those skilled in the art can be understood that the application can borrow It helps software that the mode of necessary general hardware platform is added to realize, hardware realization can also be passed through.Pass through the skill of application the application The data that the lower miniature monitoring station of precision monitors are carried out school using big data technology and artificial intelligence technology by art scheme Standard reduces the monitoring result error of miniature monitoring station, and ensure that it is put into can obtain reliable monitoring in actual motion As a result, ensuring the supervision effect of monitoring region air environmental pollution in turn.

It will be appreciated by those skilled in the art that the accompanying drawings are only schematic diagrams of a preferred implementation scenario, module in attached drawing or Process is not necessarily implemented necessary to the application.It will be appreciated by those skilled in the art that the mould in device in implement scene Block can according to implement scene describe be distributed in the device of implement scene, can also carry out corresponding change be located at be different from In one or more devices of this implement scene.The module of above-mentioned implement scene can be merged into a module, can also be into one Step splits into multiple submodule.

Above-mentioned the application serial number is for illustration only, does not represent the superiority and inferiority of implement scene.Disclosed above is only the application Several specific implementation scenes, still, the application is not limited to this, and the changes that any person skilled in the art can think of is all The protection scope of the application should be fallen into.