CN109543935A - Environmental data processing method based on hot spot grid - Google Patents
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Abstract
The present invention relates to a kind of environmental data processing methods based on hot spot grid, comprising: Satellite Observations, meteorological data and the ground station for obtaining monitoring region observe data；Monitoring region is divided into multiple grid cells, the corresponding monitoring subregion of each grid cell；Obtain aerosol optical depth AOD characteristic, multiple Meteorological Characteristics data, pollutant concentration data, pollution source data and the history alarm monitor information of each monitoring subregion, the multidimensional characteristic vectors for constructing each monitoring subregion, generate multi-dimensional feature data library；When multidimensional characteristic vectors meet preset condition, the corresponding information warning of hot spot grid is generated；The on-the-spot investigation pollution sources characteristic information of monitoring subregion is obtained according to information warning, and updates property data base using on-the-spot investigation pollution sources characteristic information.
Description
Technical field
The present invention relates to technical field of data processing more particularly to a kind of environmental data processing sides based on hot spot grid
Method.
Background technique
Environmental protection focuses on environmental management, and environmental law enforcement is the main means of environmental management.Environmental law enforcement has environment
The dual characteristics of method and administrative law, and each corner of environmental management is spread, it is extremely effective hand during environmental management
Section.However from the point of view of the environmental law enforcement status in China, there is that laws are not fully observed, not strict in enforcing the law, situations such as refraining from punishing law-breakers.
Traditional environmental inspection method flow: information, including environment friendly system internal communication information, daily In-site supervision are collected
Information；On-site supervision, including listen to improvement unit and introduce related situation, check relevant document；The processing of vision situation, including will just
The record registration of reason condition the problem of to finding in governance process, assigns reform advice, and report to authorities in time；It summarizes
Filing, including put on file by project, indicate the handling suggestion found the problem, all records, material classification filing.
The drawbacks of traditional environment method for monitoring:
1, the level of informatization is low, and data sharing, synchronization, usage degree are low.
2, high to law enfrocement official skill requirement, to the election process for administering unit, there are randomness, subjectivities.
3, small dirty emission source at random fast-changing to state is difficult to sensitive, accurate strike.
4, manpower is sounded out the people in a given scope one by one in order to break a criminal case heavy workload, low efficiency.
Summary of the invention
The purpose of the present invention is in view of the deficiencies in the prior art, provide a kind of environmental data based on hot spot grid
Processing method.
To achieve the above object, in a first aspect, the present invention provides a kind of environmental data processing sides based on hot spot grid
Method, comprising:
Satellite Observations, meteorological data and the ground station for obtaining monitoring region observe data；
The monitoring region is divided into multiple grid cells, each corresponding monitoring subregion of the grid cell；
The aerosol optical depth AOD characteristic of each monitoring subregion is obtained according to the Satellite Observations；
Multiple Meteorological Characteristics data of each monitoring subregion are obtained according to the meteorological data；
The pollutant concentration data of each monitoring subregion of data acquisition are observed according to the ground station；
Obtain the pollution source data and history alarm monitor information of each monitoring subregion；
According to the AOD characteristic, Meteorological Characteristics data, pollutant concentration data, pollution source data and history alarm
Monitor information constructs the multidimensional characteristic vectors of each monitoring subregion, generates multi-dimensional feature data library；
When the multidimensional characteristic vectors meet preset condition, the corresponding information warning of hot spot grid is generated；
The on-the-spot investigation pollution sources characteristic information of the monitoring subregion is obtained according to the information warning, and described in utilization
On-the-spot investigation pollution sources characteristic information updates the property data base.
Further, the aerosol optical depth that each monitoring subregion is obtained according to the Satellite Observations
AOD characteristic specifically includes:
According to according to formula τα(λ)=τ (λ)-τm(λ)-τω1(λ)-τω2(λ)-τμAOD characteristic is calculated in (λ)；Its
In, τα(λ) indicates that aerosol optical depth, τ (λ) indicate the total optical thickness of atmosphere, τm(λ) indicates that the molecule of whole atmosphere dissipates
Penetrate optical thickness, τω1(λ) indicates the absorption optical thickness of oxygen, τω2(λ) indicates the absorption optical thickness of ozone, τμ(λ) is indicated
The absorption optical thickness of steam.
Further, the multiple Meteorological Characteristics data for obtaining each monitoring subregion according to the meteorological data have
Body includes:
Temperature, humidity, wind speed and direction, pressure, the temperature anomaly point of each monitoring subregion are obtained according to meteorological data
Cloth data.
Further, the pollutant concentration that each monitoring subregion of data acquisition is observed according to the ground station
Data specifically include:
The SO of each monitoring subregion of data acquisition is observed according to the ground station2、PM2.5、PM10、NO、NO2、
Benzene, formaldehyde, O3、CO2、CO、CH4, one of chlorofluorocarbons or a variety of concentration datas.
Further, the on-the-spot investigation pollution sources feature for obtaining the monitoring subregion according to the information warning is believed
Breath specifically includes:
The area characteristic information of the corresponding monitoring subregion of each information warning is obtained, the area characteristic information includes
Geographical feature information, industrial and commercial enterprises' distribution characteristics information and residential block distribution characteristics information.
Further, described specifically to be wrapped using the on-the-spot investigation pollution sources characteristic information update property data base
It includes:
According to the AOD characteristic, Meteorological Characteristics data, pollutant concentration data, pollution source data, history alarm prison
It examines information and area characteristic information constructs the multidimensional characteristic vectors of each monitoring subregion.
Further, the method also includes:
Using the grid cell of the property data base identification object region dirty discharge at random, and obtain dirty discharge at random
The location information of grid cell.
Second aspect, the present invention provides a kind of equipment, including memory and processor, the memory is for storing journey
Sequence, the processor are used to execute the method in the various implementations of first aspect and first aspect.
The third aspect, the present invention provides a kind of computer program products comprising instruction, when the computer program produces
When product are run on computers, so that the computer executes the side in the various implementations of first aspect and first aspect
Method.
Fourth aspect, the present invention provides a kind of computer readable storage medium, on the computer readable storage medium
It is stored with computer program, the various realizations of first aspect and first aspect are realized when the computer program is executed by processor
Method in mode.
Environmental data processing method provided by the invention based on hot spot grid is based on Satellite Observations, meteorological data
Data configuration multidimensional characteristic sample set is observed with ground station, judges whether to alarm according to multidimensional characteristic, filters out pollution
The super target area of object concentration data carries out environmental inspection.Method provided by the invention can reduce supervision law enforcement inspection number, right
The dirty row's of stealing behavior of omitting in printing at random is accurately positioned, and is improved the blow efficiency of pollution sources, is greatlyd save the environmental inspection law-enforcing ranks
Manpower and material resources.
Detailed description of the invention
Fig. 1 is the environmental data processing method flow chart based on hot spot grid that the embodiment of the present invention one provides；
Fig. 2 is that the monitoring area that the embodiment of the present invention one provides divides schematic diagram；
Fig. 3 is the multi-dimension feature extraction schematic diagram that the embodiment of the present invention one provides.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to the present invention make into
It is described in detail to one step, it is clear that the described embodiments are only some of the embodiments of the present invention, rather than whole implementation
Example.Based on the embodiments of the present invention, obtained by those of ordinary skill in the art without making creative efforts
All other embodiment, shall fall within the protection scope of the present invention.
Fig. 1 is the environmental data processing method flow chart based on hot spot grid that the embodiment of the present invention one is related to.Such as Fig. 1 institute
Show, specifically comprises the following steps:
Step 101, Satellite Observations, meteorological data and the ground station for obtaining monitoring region observe data；
Satellite Observations library, meteorogical phenomena database disclosed in the network obtain the Satellite Observations in monitoring region, meteorology
Data.Including traffic, blowdown, water conservancy, meteorology, industry and commerce, natural resources, mapping geography, quality supervision, agricultural, social economy, the people
Political affairs live to build, the related data of the every field such as ecological environment or department.
It include that multiple dimensioned, multifrequency time, full wave nothing are obtained by various earth observation satellites in Satellite Observations library
Seam observation data.Earth observation satellite includes Landsat (Landsat), US Terrestrial observation satellite (TERRA), the U.S.
Remote sensing satellite (NPP), in-bar earth resources satellite (CBERS), European Space Agency's earth resources satellite (Sentinel-2), Japanese gas
As satellite (himawari-8), Japan Earth Resources Satellite (ASTER).
It is the composition of air data monitored by enviromental monitoring equipment that ground station, which observes data, by monitoring region
Setting fixation or revocable ground monitoring equipment are monitored air quality.
Step 102, monitoring region is divided into multiple grid cells, the corresponding monitoring subregion of each grid cell；
Wherein, grid cell refers to pollution monitoring region division into multiple grids, is convenient for accurately monitoring.For example,
By Jing-jin-ji region and the city periphery key area " 2+26 ", (2 refer to Beijing and Tianjin, and 26 refer to Shijiazhuang City, Hebei Province, Tangshan, guarantor
Fixed, Langfang, Cangzhou, Hengshui, Handan, Xingtai, Shanxi Province Taiyuan, Yangquan, Changzhi, Jincheng, Jinan City, Shandong Province, Zibo, Liaocheng, moral
State, Binzhou, Jining, Heze, Zhengzhou, Henan Province, Xinxiang, Hebi, Anyang, Jiaozhuo, Puyang, Kaifeng 26 cities) according to 3km ×
3km grid division amounts to 36793.In order to further refine, the grid of each 3km × 3km is divided into again multiple
100 meters × 100 meters of grid cell, as shown in Figure 2.Each grid cell after division is assigned to a unique grid to compile
Code, can inquire corresponding monitoring subregion according to grid coding.
Step 103, the aerosol optical depth AOD characteristic of each monitoring subregion is obtained according to Satellite Observations
According to；
Aerosol optical depth (Aerosol Optical Depth, AOD) be medium extinction coefficient in vertical direction
Integral, be description aerosol the reduction of light is acted on.AOD is one of most important parameter of aerosol, is that characterization atmosphere is muddy
The physical quantity of turbid degree.
In visible light and near infrared band, according to according to formula τα(λ)=τ (λ)-τm(λ)-τω1(λ)-τω2(λ)-τμ(λ) meter
Calculation obtains AOD characteristic parameter；Wherein, τα(λ) indicates that aerosol optical depth, τ (λ) indicate the total optical thickness of atmosphere, τm(λ)
Indicate the molecular scattering optical thickness of whole atmosphere, τω1(λ) indicates the absorption optical thickness of oxygen, τω2The suction of (λ) expression ozone
Receive optical thickness, τμThe absorption optical thickness of (λ) expression steam.
Aerosol optical depth inversion algorithm include: single-channel algorithm, multiple-channels algorithm, dark pixel method, structure function method,
Dark blue algorithm, the same method of inversion of more stellar associations, Land-ocean comparison method, multi-angle Polarization Method, heat radiation comparison method etc..
Step 104, multiple Meteorological Characteristics data of each monitoring subregion are obtained according to meteorological data；
Temperature, humidity, wind speed and direction, pressure, the temperature anomaly point of each monitoring subregion are obtained according to meteorological data
Cloth data.
Step 105, the pollutant concentration data of each monitoring subregion of data acquisition are observed according to ground station；
Wherein, pollutant concentration data include all pollutant data polluted to atmosphere that can be monitored, ground
Face website observation data include the composition of air data of the monitoring subregion monitored, are therefrom extracted including but not limited to
SO2、PM2.5、PM10、NO、NO2, benzene, formaldehyde, O3、CO2、CO、CH4, one of chlorofluorocarbons or a variety of concentration datas.
Specifically, the ground station of multiple monitoring subregions places multiple pollution monitoring equipment, monitoring in monitoring region
Pollutant concentration data.The AOD characteristic of part monitoring subregion, Meteorological Characteristics data contamination object concentration data are generated more
The multidimensional characteristic vectors of multiple monitoring subregions are generated multidimensional characteristic sample set by dimensional feature vector；Using deep learning model
Multidimensional characteristic sample set is trained, relational model is obtained；Select a part as training set from multidimensional characteristic sample set
Model training is carried out, another part is selected to test as test set the model trained.For example, from multidimensional characteristic sample
It concentrates and selects 70% sample as training sample set, select 30% sample as test sample collection.
The spies such as deep learning, integrated study, unsupervised learning are carried out to multidimensional characteristic sample set using deep learning model
Mode of learning is levied, model parameter is finally trained, relational model is determined according to model parameter.Relational model is able to reflect out satellite
Observe the relationship between data, meteorological data and pollutant concentration.Sample data sample in multidimensional characteristic sample set is more, obtains
The relational model arrived is more effective.
Do not placed the pollutant concentration data of the monitoring subregion of pollution monitoring equipment according to relational model, thus
The pollutant concentration data of each pollution monitoring subregion are arrived.
Step 106, the pollution source data and history alarm monitor information of each monitoring subregion are obtained；
Pollution source data is obtained from pollution source database, wherein pollution source data packet includes the position data of pollution sources, dirt
Contaminate Source Type, pollution cause, current state etc..For example, generating oil flue waste gas in the restaurant * * business, fume purifying dress is not installed
It sets；The region * traffic is more, and vehicle exhaust emission pollutes.
The history alarm monitor information of each monitoring subregion, alarm supervision are obtained from alarm monitor information database
Information database includes the history warning message for monitoring all disposal of pollutants points in region, including time of fire alarming, alarm times, report
Alert rank etc..
Step 107, according to AOD characteristic, Meteorological Characteristics data, pollutant concentration data, pollution source data and history
Alarm monitor information constructs the multidimensional characteristic vectors of each monitoring subregion, generates multi-dimensional feature data library；
It is as shown in Figure 3 to extract various features.After extracting multiple characteristics, it can be constructed not according to these characteristics
With the feature vector of dimension.For example, the feature vector of construction can be
{year,month,day,hour,AOD,longitude,latitude,WIND_U,WIND_V,T2,P,DEM_
MEAN,DEM_STD,}。
It should be noted that the characteristic chosen is different, then the feature vector dimension constructed is different, can be according to specific
It needs to be configured.
The multidimensional characteristic vectors of all monitoring subregions are configured to multi-dimensional feature data library, the net of each grid cell
Trellis coding can correspond to the multidimensional characteristic vectors of the latent structure of one or more monitoring subregions.
Step 108, when multidimensional characteristic vectors meet preset condition, the corresponding information warning of hot spot grid is generated；
Wherein, preset condition specifically can be air pollution early-warning conditions, and one or more of multidimensional characteristic vectors are full
Sufficient condition then illustrates that corresponding monitoring subregion has formed air pollution, judges that the grid cell is corresponding according to preset condition
Monitoring subregion whether there is air pollution.If multidimensional characteristic vectors meet preset condition, illustrate the grid cell pair
There is the exceeded situation of pollutant emission in the monitoring subregion answered, using the grid cell as hot spot grid, generates warning letter
It ceases and carries out warning note.
For example, comprehensive 7 days all kinds of pollutant concentrations and meteorological index in the past, carry out qualified grid cell abnormal
Alarm triggering.
Step 109, the on-the-spot investigation pollution sources characteristic information of monitoring subregion is obtained according to information warning, and using on the spot
It investigates pollution sources characteristic information and updates property data base.
On-the-spot investigation is carried out to the monitoring subregion for generating warning message, on-the-spot investigation pollution sources characteristic information is obtained, wraps
The area characteristic informations such as geographical feature information, industrial and commercial enterprises' distribution characteristics information and residential block distribution characteristics information are included, according to institute
It is special to state AOD characteristic, Meteorological Characteristics data, pollutant concentration data, pollution source data, history alarm monitor information and region
The multidimensional characteristic vectors for levying each monitoring subregion of information structuring, update property data base.
Optionally, using the grid cell of property data base identification object region dirty discharge at random, and dirty row at random is obtained
The location information for the grid cell put.
Specifically, the characteristic information of the corresponding target subregion of all grid cells to be monitored is corresponding with hot spot grid
Property data base in feature be compared, the grid cell of dirty discharge areas at random is determined according to comparison result, inquiry should
The position of the corresponding target subregion of grid cell, targetedly carries out environmental inspection.
Technical solution of the present invention realizes the alarm supervision of grid cell abnormal emission using high-precision grid data.According to high-precision
Spend network data, the grid cell of intelligent recognition concentration abnormality；Using Satellite Observations, identify that grid cell alarm is geographical special
Sign, industrial and commercial enterprises' feature, residential block distribution characteristics etc.；Using alert data, In-site supervision is carried out to grid cell and scene is looked into
Place, and the data of In-site supervision are uploaded in real time；Using In-site supervision information, grid cell history alarm feedback database is formed,
And optimize alarm mechanism using the database repetition training.
Environmental data processing method provided by the invention based on hot spot grid is based on Satellite Observations, meteorological data
Data configuration multidimensional characteristic sample set is observed with ground station, judges whether to alarm according to multidimensional characteristic, filters out pollution
The super target area of object concentration data carries out environmental inspection.Method provided by the invention can reduce supervision law enforcement inspection number, right
The dirty row's of stealing behavior of omitting in printing at random is accurately positioned, and is improved the blow efficiency of pollution sources, is greatlyd save the environmental inspection law-enforcing ranks
Manpower and material resources.
Second embodiment of the present invention provides a kind of equipment, including memory and processor, memory is deposited for storing program
Reservoir can be connect by bus with processor.Memory can be nonvolatile storage, such as hard disk drive and flash memory, storage
Software program and device driver are stored in device.Software program is able to carry out the above method provided in an embodiment of the present invention
Various functions；Device driver can be network and interface drive program.Processor is for executing software program, the software journey
Sequence is performed, and can be realized method provided in an embodiment of the present invention.
The embodiment of the present invention three provides a kind of computer program product comprising instruction, when computer program product is being counted
When being run on calculation machine, so that computer executes the method that the embodiment of the present invention one provides.
The embodiment of the present invention four provides a kind of computer readable storage medium, is stored on computer readable storage medium
Computer program realizes the method that the embodiment of the present invention one provides when computer program is executed by processor.
Professional should further appreciate that, described in conjunction with the examples disclosed in the embodiments of the present disclosure
Unit and algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, hard in order to clearly demonstrate
The interchangeability of part and software generally describes each exemplary composition and step according to function in the above description.
These functions are implemented in hardware or software actually, the specific application and design constraint depending on technical solution.
Professional technician can use different methods to achieve the described function each specific application, but this realization
It should not be considered as beyond the scope of the present invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can be executed with hardware, processor
The combination of software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only memory
(ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field
In any other form of storage medium well known to interior.
Above-described specific embodiment has carried out further the purpose of the present invention, technical scheme and beneficial effects
It is described in detail, it should be understood that being not intended to limit the present invention the foregoing is merely a specific embodiment of the invention
Protection scope, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should all include
Within protection scope of the present invention.
Claims (10)
1. a kind of environmental data processing method based on hot spot grid, which is characterized in that the described method includes:
Satellite Observations, meteorological data and the ground station for obtaining monitoring region observe data；
The monitoring region is divided into multiple grid cells, each corresponding monitoring subregion of the grid cell；
The aerosol optical depth AOD characteristic of each monitoring subregion is obtained according to the Satellite Observations；
Multiple Meteorological Characteristics data of each monitoring subregion are obtained according to the meteorological data；
The pollutant concentration data of each monitoring subregion of data acquisition are observed according to the ground station；
Obtain the pollution source data and history alarm monitor information of each monitoring subregion；
According to the AOD characteristic, Meteorological Characteristics data, pollutant concentration data, pollution source data and history alarm supervision
The multidimensional characteristic vectors of each monitoring subregion of information structuring, generate multi-dimensional feature data library；
When the multidimensional characteristic vectors meet preset condition, the corresponding information warning of hot spot grid is generated；
The on-the-spot investigation pollution sources characteristic information of the monitoring subregion is obtained according to the information warning, and described on the spot
It investigates pollution sources characteristic information and updates the property data base.
2. the method according to claim 1, wherein described obtain each prison according to the Satellite Observations
The aerosol optical depth AOD characteristic for surveying subregion specifically includes:
According to according to formula τα(λ)=τ (λ)-τm(λ)-τω1(λ)-τω2(λ)-τμAOD characteristic is calculated in (λ)；Wherein, τα
(λ) indicates that aerosol optical depth, τ (λ) indicate the total optical thickness of atmosphere, τmThe molecular scattering light of (λ) expression whole atmosphere
Learn thickness, τω1(λ) indicates the absorption optical thickness of oxygen, τω2(λ) indicates the absorption optical thickness of ozone, τμ(λ) indicates steam
Absorption optical thickness.
3. the method according to claim 1, wherein described obtain each monitoring according to the meteorological data
Multiple Meteorological Characteristics data in region specifically include:
Temperature, the humidity, wind speed and direction, pressure, temperature anomaly distribution number of each monitoring subregion are obtained according to meteorological data
According to.
4. the method according to claim 1, wherein described each according to ground station observation data acquisition
The pollutant concentration data of a monitoring subregion specifically include:
The SO of each monitoring subregion of data acquisition is observed according to the ground station2、PM2.5、PM10、NO、NO2, benzene, first
Aldehyde, O3、CO2、CO、CH4, one of chlorofluorocarbons or a variety of concentration datas.
5. the method according to claim 1, wherein described obtain the monitoring sub-district according to the information warning
The on-the-spot investigation pollution sources characteristic information in domain specifically includes:
The area characteristic information of the corresponding monitoring subregion of each information warning is obtained, the area characteristic information includes geography
Characteristic information, industrial and commercial enterprises' distribution characteristics information and residential block distribution characteristics information.
6. according to the method described in claim 5, it is characterized in that, described utilize the on-the-spot investigation pollution sources characteristic information more
The new property data base specifically includes:
According to the AOD characteristic, Meteorological Characteristics data, pollutant concentration data, pollution source data, history alarm supervision letter
Breath and area characteristic information construct the multidimensional characteristic vectors of each monitoring subregion.
7. the method according to claim 1, wherein the method also includes:
Using the grid cell of the property data base identification object region dirty discharge at random, and obtain the grid of dirty discharge at random
The location information of unit.
8. a kind of equipment, including memory and processor, which is characterized in that the memory is for storing program, the processing
Device is for executing method as claimed in claim 1.
9. a kind of computer program product comprising instruction, which is characterized in that when the computer program product on computers
When operation, so that the computer executes such as method as claimed in any one of claims 1 to 7.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program realizes such as method as claimed in any one of claims 1 to 7 when the computer program is executed by processor.
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