CN106352914B - A kind of device of regional air quality controlling - Google Patents
A kind of device of regional air quality controlling Download PDFInfo
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- CN106352914B CN106352914B CN201610621570.1A CN201610621570A CN106352914B CN 106352914 B CN106352914 B CN 106352914B CN 201610621570 A CN201610621570 A CN 201610621570A CN 106352914 B CN106352914 B CN 106352914B
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- 238000012544 monitoring process Methods 0.000 claims abstract description 73
- 238000004458 analytical method Methods 0.000 claims abstract description 18
- 230000009467 reduction Effects 0.000 claims abstract description 17
- 239000003344 environmental pollutant Substances 0.000 claims abstract description 16
- 231100000719 pollutant Toxicity 0.000 claims abstract description 16
- 238000012545 processing Methods 0.000 claims abstract description 16
- 238000005070 sampling Methods 0.000 claims abstract description 12
- 238000009434 installation Methods 0.000 claims abstract description 11
- 238000013500 data storage Methods 0.000 claims abstract description 7
- 238000000746 purification Methods 0.000 claims description 21
- 239000007789 gas Substances 0.000 claims description 15
- 238000013473 artificial intelligence Methods 0.000 claims description 13
- 238000012806 monitoring device Methods 0.000 claims description 8
- 238000004519 manufacturing process Methods 0.000 claims description 6
- 239000002912 waste gas Substances 0.000 claims description 6
- 230000003044 adaptive effect Effects 0.000 claims description 4
- 238000013528 artificial neural network Methods 0.000 claims description 4
- 238000013135 deep learning Methods 0.000 claims description 4
- 230000006698 induction Effects 0.000 claims description 4
- 238000007726 management method Methods 0.000 claims description 4
- 239000011159 matrix material Substances 0.000 claims description 4
- 238000000513 principal component analysis Methods 0.000 claims description 4
- 230000008859 change Effects 0.000 claims description 3
- 238000004140 cleaning Methods 0.000 claims description 3
- 238000010411 cooking Methods 0.000 claims description 3
- 238000011161 development Methods 0.000 claims description 3
- 239000000523 sample Substances 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims 1
- 238000000034 method Methods 0.000 abstract description 9
- 230000007613 environmental effect Effects 0.000 abstract description 5
- 238000011217 control strategy Methods 0.000 abstract 1
- 239000003570 air Substances 0.000 description 26
- 230000009471 action Effects 0.000 description 5
- 238000007405 data analysis Methods 0.000 description 4
- 230000002265 prevention Effects 0.000 description 4
- 238000003915 air pollution Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 2
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- 239000012080 ambient air Substances 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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Abstract
A kind of devices and methods therefor of regional air quality controlling, pass through the dense gridization laying meteorology in certain area and atmosphere pollution monitoring instrument, simultaneously to the emission reduction facility operating mode of the pollution sources of various discharge exhaust gas in region, the emission reduction efficiency of facility is monitored on-line, and is equipped and carried out automatic air sampling apparatus when meeting setting condition；The data monitored on-line above are uploaded to central server in real time by internet, the database program of central server installation will input big data processing analysis program after data storage, big data processing analysis system predicts the pollutant concentration variation and scenario analysis of pre-set space point, and preferably goes out control strategy.The method of the present invention can realize the accurate monitoring and control of air quality in region, can be used for atmospheric environment improvement, air quality improves, realization environmental protection.
Description
Technical field
The present invention relates to a kind of air treating devices and methods therefor, the device of especially a kind of regional air quality controlling and
Its method is administered for atmospheric environment, and air quality improves, environmental protection.
Background technology
Haze pollution has become one of China's environmental problem most outstanding.2013 and 2014, Beijing-tianjin-hebei Region was average annual
PM2.5 concentration respectively reaches 104 μ g/m3 and 93 μ g/m3, far more than the 2 times or more of China's ambient air quality secondary standard.
Highest 10 cities of the average annual concentration of PM2.5 have 7 to be located at Hebei province.State Council has promulgated prevention and control of air pollution action plan,
Clearly propose concentration target and Mitigation options that Beijing-tianjin-hebei Region haze is administered.2013,《Prevention and control of air pollution action meter
It draws》(" ten, state ") tries for 2013,《Surrounding air fine particle integrated pollution control technical policy》013 year,《Airborne particulate
Object origin analysis technical manual (tentative)》《Beijing Ambient prevention and cure of pollution action plan embodiment》《Hebei province's atmosphere pollution
Prevent action plan embodiment》《Prevention and control of air pollution action plan detailed rules for the implementation are implemented in Jing-jin-ji region and surrounding area》.
Chinese Ministry of Environmental Protection issues recently《Ecological environment big data builds overall plan》It proposes, emphasis is integrated into haze monitoring and is gone through
History data carry out haze prediction and warning big data analysis and application；Meanwhile supervision law enforcement mode is innovated, precision strike enterprise is not
It batch first builds, the illegal activities such as the row of stealing omits in printing, discharge beyond standards.
But current environmental monitoring and Online monitoring of pollution sources all excessively dilutes, for polluting distribution and dirt in region
The row of stealing in dye source, which steals to put, all to have no idea to be monitored monitoring by technological means, therefore the present invention copes with the needle that this demand is done
To property, effective technological invention.It realizes and synchronizes the intensive meteorological delta data of integrated region, highly dense grid monitoring data contamination source
Purification or emission reduction facility operating mode and purification efficiency data, carry out haze prediction and warning big data analysis and application, and support haze carries
Preceding publication, emergency preplan are formulated, prediction scheme executes and supervision law enforcement, are studied and judged for haze situation and reply provides information service and technology
It is horizontal to promote the anti-haze of the pre- haze of science for support.
Invention content
It can not be accurately positioned pollution sources present invention mainly solves existing air quality monitoring network network and can not accurately predict to look forward to
Correspondence between industry emission reduction behavior and air quality.The present invention is device and its side of a kind of regional air quality controlling
Method.
The present invention adopts the following technical scheme that：
A kind of device of regional air quality controlling, the device by environment weather and the intensive monitoring network of air quality,
Line monitors the monitoring network of waste gas pollution control and treatment equipment operating condition, working efficiency and condition sampling, central server database program
Portion, big data processing analysis program division, artificial intelligence analysis's program division are constituted.
A method of regional air quality controlling is realized using the device of regional air quality controlling, by the ring
Border meteorology realizes that environment weather is monitored with air quality data with the intensive monitoring network of air quality, is given up by the on-line monitoring
The monitoring network of gas abatement equipment operating condition, working efficiency and condition sampling realizes status of equipment data monitoring, then by two
The data of aspect are uploaded to central server in real time by internet, by the database program portion of central server installation by data
Big data processing analysis program division is inputted after storage, is handled by big data and is analyzed determining dimension group and inputting artificial for program division output
Intellectual analysis program division, it is final to realize regional air quality controlling.
Wherein, the environment weather is with air quality data monitoring：Dense gridization lays gas in certain area
As with atmosphere pollution monitoring instrument, the intensive laying of gridding refers to cooking up X km x Y km, X and Y in specified region
What monitoring instrument obtained laid in the grid of Any Digit composition between respectively equal to 1-10, any position in each grid
Data just represent the way of the concentration of this grid；Wind speed, wind direction, temperature, humidity, gas are laid in each mesh point
Pressure, PM10, PM2.5, PM1, CO2、CO、SO2、NO、NO2、NH3、O3With VOC concentration monitor instruments, monitor within every 5 minutes to 1 hour
One group of data, and specified central server is automatically uploaded to by interconnected network mode.
Wherein, the status of equipment data monitoring is：To the various discharge exhaust gas of all production enterprises in region
Pollution sources monitoring device is installed comprehensively, monitoring device is the electric current of the main power supply circuit of the emission reduction or purification facility to pollution sources
Induction on-line monitoring is carried out, while sensor noise monitoring is set, the exhaust pipe before entrance purification facility and process purification
Installation monitoring is popped one's head in respectively in pipeline afterwards, and monitoring project includes PM10, PM2.5, PM1, CO2、CO、SO2、NO、NO2、NH3、O3
With VOC concentration；Confirm whether purification or emission reduction facility work normally by current monitoring, confirms that pollution sources are by noise monitor
It is no to produce, the efficiency of cleaning equipment is confirmed by front and back pollutant monitoring；These monitoring data monitor for every 5 minutes to 1 hour
One group of data, and specified central server is automatically uploaded to by interconnected network mode.The pollution of the discharge exhaust gas of any enterprise
Source monitoring device starts automatic sampling apparatus therein when monitoring that filter efficiency is less than setting value, by pollution sources discharge
Exhaust gas carries out automatic air-breathing Sampling hold, is further detected convenient for the later stage with fixing evidence.
Further comprise；The data of monitoring are uploaded to central server, central server installation in real time by internet
Database program portion big data processing analysis program division will be inputted after data storage, which handles analysis system using just
Hand over matrix Principal Component Analysis, will extract the identical crucial classified adaptive factor of changing rule property after data above dimensionality reduction, assessment and
The contribution proportion of each pollutant sources of pre-set space point is calculated, so that it is determined that the main management and control direction of pollutant of default point
With relevant discharge enterprise.
Further comprise：Dimension group is determined in the big data processing analysis program division output, by input artificial intelligence point
Analyse program division, artificial intelligence analysis's program division is the algorithm using artificial neural network, after the data inputted by deep learning
Modeling, you can the meteorological data in the region that input is known or is manually set, different enterprise pollution source purifications or emission reduction are set
The pollutant that pre-set space point can be calculated after standby purification efficiency data and development trend by model above is dense
Degree variation.
Advantageous effects：The present invention, can be to innovate ring to having direct significance from source control area atmosphere pollution
Law enforcement mode is supervised in border, precision strike enterprise steal arrange omit in printing, the illegal activities such as discharge beyond standards.Synchronize integrated meteorological, intensive net in fact
When monitoring data, the data such as enterprise's emission reduction behavior, carry out haze prediction and warning big data analysis with application, support haze send out in advance
Cloth, emergency preplan are formulated, prediction scheme executes and supervision law enforcement, are studied and judged for haze situation and reply provides information service and technology branch
It is horizontal to promote the anti-haze of the pre- haze of science for support.
Specific implementation mode
With reference to embodiment, invention is further explained.
Embodiment 1
It is further illustrated the present invention below with the preferred embodiment of the present invention.
Embodiment 1：
A kind of device of regional air quality controlling, the device by environment weather and the intensive monitoring network of air quality,
Line monitors the monitoring network of waste gas pollution control and treatment equipment operating condition, working efficiency and condition sampling, central server database program
Portion, big data processing analysis program division, artificial intelligence analysis's program division are constituted.
Embodiment 2：
A method of realizing regional air quality controlling using the device of the regional air quality controlling of embodiment 1, by
The environment weather realizes that environment weather is monitored with air quality data with the intensive monitoring network of air quality, by it is described
The monitoring network that line monitors waste gas pollution control and treatment equipment operating condition, working efficiency and condition sampling realizes status of equipment data monitoring,
Then both sides data are uploaded to central server in real time by internet, the database program installed by central server
Portion will input big data processing analysis program division after data storage, determine dimension group simultaneously by big data processing analysis program division output
Artificial intelligence analysis's program division is inputted, it is final to realize regional air quality controlling.
Wherein, the environment weather is with air quality data monitoring：Dense gridization lays gas in certain area
As with atmosphere pollution monitoring instrument, the intensive laying of gridding refers to cooking up X km x Y km, X and Y in specified region
What monitoring instrument obtained laid in the grid of Any Digit composition between respectively equal to 1-10, any position in each grid
Data just represent the way of the concentration of this grid；Wind speed, wind direction, temperature, humidity, gas are laid in each mesh point
Pressure, PM10, PM2.5, PM1, CO2、CO、SO2、NO、NO2、NH3、O3With VOC concentration monitor instruments, monitor within every 5 minutes to 1 hour
One group of data, and specified central server is automatically uploaded to by interconnected network mode.
Wherein, the status of equipment data monitoring is：To the various discharge exhaust gas of all production enterprises in region
Pollution sources monitoring device is installed comprehensively, monitoring device is the electric current of the main power supply circuit of the emission reduction or purification facility to pollution sources
Induction on-line monitoring is carried out, while sensor noise monitoring is set, the exhaust pipe before entrance purification facility and process purification
Installation monitoring is popped one's head in respectively in pipeline afterwards, and monitoring project includes PM10, PM2.5, PM1, CO2、CO、SO2、NO、NO2、NH3、O3
With VOC concentration；Confirm whether purification or emission reduction facility work normally by current monitoring, confirms that pollution sources are by noise monitor
It is no to produce, the efficiency of cleaning equipment is confirmed by front and back pollutant monitoring；These monitoring data monitor for every 5 minutes to 1 hour
One group of data, and specified central server is automatically uploaded to by interconnected network mode.When the discharge for having any production enterprise
The Pollution Source Monitoring equipment of exhaust gas starts automatic air-breathing sampling apparatus therein when monitoring that filter efficiency is less than setting value,
The exhaust gas of pollution sources discharge is subjected to automatic Sampling hold, is further detected convenient for the later stage with fixing evidence.
Further comprise；The data of monitoring are uploaded to central server, central server installation in real time by internet
Database program portion big data processing analysis program division will be inputted after data storage, which handles analysis system using just
Hand over matrix Principal Component Analysis, will extract the identical crucial classified adaptive factor of changing rule property after data above dimensionality reduction, assessment and
The contribution proportion of each pollutant sources of pre-set space point is calculated, so that it is determined that the main management and control direction of pollutant of default point
With relevant discharge enterprise.
Further comprise：Dimension group is determined in the big data processing analysis program division output, by input artificial intelligence point
Analyse program division, artificial intelligence analysis's program division is the algorithm using artificial neural network, after the data inputted by deep learning
Modeling, you can the meteorological data in the region that input is known or is manually set, different enterprise pollution source purifications or emission reduction are set
The pollutant that pre-set space point can be calculated after standby purification efficiency data and development trend by model above is dense
Degree variation.
Embodiment 3：
The embodiment of the present invention is carried out in one 1000 square kilometres of administrative area first, by being pressed in the administrative area
It is a grid according to 1km x 1km, draws the dense grid of 4 square kilometres of resolution ratio, 500 grid points is set, often
Point monitors 8 atmospheric physics of fingerprint tracer and ambient parameter data (PM1/PM2.5/PM10, VOC, temperature in air in real time
Degree, humidity, wind speed, wind direction), further include that 1 set of physics of atmospheric boundary layer and the super station of Atmospheric Chemistry are installed in core space, by swashing
Optical radar combination Atmospheric Chemistry ingredient real-time analyzer can be differentiated local with external transmission pollution ratio and in line source in real time
Parsing report understands the discharge intensity such as face source and scattered coal and transmission changing rule；
By investigation, it is VOC to have the manufacturing enterprise of 1000 discharge exhaust gas, discharge types of exhaust gases in the administrative area, these
Enterprise is also assembled with after active carbon purifying device carries out waste gas purification and discharges, therefore in the active carbon purifying device of each enterprise
Upper installation monitoring facilities carry out induction on-line monitoring to the electric current of the main power supply circuit of the wind turbine of purifier, while noise are arranged
Sensor monitoring, exhaust pipe before entering purification facility and by installation monitoring probe respectively in purified pipeline, prison
Survey project is VOC concentration.Enterprise's Mitigation options situation in place is supervised, enterprise is implemented in emergency advance warning and stops limited production task；
Related data, which inputs, improves prediction and warning precision in big data analysis system；
The data of both the above monitoring network all once upload to database server in every 5 minutes by GPRS, in it is genuinely convinced
The database program of business device installation will input big data processing analysis program after data storage, which handles analysis system and adopt
With orthogonal matrix Principal Component Analysis, the identical crucial classified adaptive factor of changing rule property will be extracted after data above dimensionality reduction, is commented
Estimate and calculate pre-set space point each pollutant sources contribution proportion, so that it is determined that the main management and control of pollutant of default point
Direction and relevant discharge enterprise；Dimension group is determined in big data processing analysis program output above-mentioned, by input artificial intelligence point
Program is analysed, artificial intelligence analysis's program is the algorithm using artificial neural network, is modeled after the data inputted by deep learning,
Can in the region that input is known or is manually set meteorological data, different enterprise pollution sources purifications or emission abatement device it is net
The pollutant concentration variation of pre-set space point can be calculated after change efficiency data by model above.To provide air
The synthesis source of pollution diagnoses；Keypoint treatment type purpose monitoring；The intensive net battle array monitoring of regional control type；Early warning and alert is commented with dynamic
The series of services of appraisal and Analysis of Policy Making etc..
The above, only present pre-ferred embodiments, therefore cannot limit the scope of implementation of the present invention according to this, i.e., according to
Equivalent changes and modifications made by the scope of the claims of the present invention and description all should still belong in the range of the present invention covers.
Claims (6)
1. a kind of device of regional air quality controlling, it is characterised in that：The device is by environment weather and the intensive prison of air quality
Survey grid network, the monitoring network that on-line monitoring waste gas pollution control and treatment equipment operating condition, working efficiency and condition sample, central server number
According to library portion, big data processing analysis program division, artificial intelligence analysis's program division is constituted, the environment weather and air matter
It measures intensive monitoring network and realizes that environment weather is monitored with air quality data, run by the on-line monitoring waste gas pollution control and treatment equipment
The monitoring network of operating mode, working efficiency and condition sampling realizes status of equipment data monitoring, then passes through both sides data
Internet is uploaded to central server in real time, and big number will be inputted after data storage by the database program portion of central server installation
Program division is analyzed according to processing, is handled by big data and analyzes determining dimension group and inputting artificial intelligence analysis's program for program division output
Portion, it is final to realize regional air quality controlling.
2. a kind of device of regional air quality controlling according to claim 1, it is characterised in that:The environment weather
It is with air quality data monitoring：Dense gridization lays meteorological and atmosphere pollution monitoring instrument, grid in certain area
It refers to cooking up the Any Digit group that X km x Y km, X and Y are respectively equal between 1-10 in specified region to change intensive laying
At grid, the concentration that data that monitoring instrument obtains just represent this grid is laid in any position in each grid
Way；Wind speed, wind direction, temperature, humidity, air pressure, PM10, PM2.5, PM1, CO are laid in each mesh point2、CO、SO4、
NO、NO2、NH3, O3 and VOC concentration monitor instruments, the one group of data of monitoring in every 5 minutes to 1 hour are and automatic by interconnected network mode
Upload to specified central server.
3. a kind of device of regional air quality controlling according to claim 2, it is characterised in that:The status of equipment
Data monitoring is：Monitoring device is installed comprehensively to the pollution sources of the various discharge exhaust gas of all production enterprises in region, is supervised
Measurement equipment is that the electric current of the main power supply circuit of the emission reduction or purification facility to pollution sources carries out induction on-line monitoring, while setting is made an uproar
Sound sensor monitors, exhaust pipe before entering purification facility and by installation monitoring probe respectively in purified pipeline,
Monitoring project includes PM10, PM2.5, PM1, CO2、CO、SO2、NO、NO2、NH3、O3With VOC concentration；Confirmed by current monitoring net
Change or whether emission reduction facility works normally, confirms whether pollution sources are producing by noise monitor, pass through front and back pollutant monitoring
Confirm the efficiency of cleaning equipment；These monitoring data one group of data of monitoring in every 5 minutes to 1 hour, and certainly by interconnected network mode
It is dynamic to upload to specified central server.
4. a kind of device of regional air quality controlling according to claim 1, it is characterised in that:Monitoring device is monitored
Data central server is uploaded to by internet in real time, the database program portion of central server installation will be after data storage
Input big data processing analysis program division, the big data handle analysis system use orthogonal matrix Principal Component Analysis, will more than
The identical crucial classified adaptive factor of changing rule property is extracted after Data Dimensionality Reduction, assesses and calculate each pollutant of pre-set space point
The contribution proportion in source, so that it is determined that the main management and control direction of pollutant of default point and relevant discharge enterprise.
5. a kind of device of regional air quality controlling according to claim 4, it is characterised in that:At the big data
Dimension group is determined in reason analysis program division output, will input artificial intelligence analysis's program division, and artificial intelligence analysis's program division is to utilize
The algorithm of artificial neural network models after the data inputted by deep learning, you can known or be manually set in input
Region in meteorological data, can after the purification efficiency data and development trend of the purification of different enterprise pollution sources or emission abatement device
To calculate the pollutant concentration variation of pre-set space point by model above.
6. a kind of device of regional air quality controlling according to claim 4, it is characterised in that：In the region
Exhaust emission source monitoring device is discharged when monitoring that filter efficiency is less than setting value by enterprise, starts automatic air-breathing sampling therein
The exhaust gas of pollution sources discharge is carried out automatic Sampling hold, is further detected convenient for the later stage with fixing evidence by device.
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| CN201610621570.1A CN106352914B (en) | 2016-08-01 | 2016-08-01 | A kind of device of regional air quality controlling |
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| CN110531029B (en) * | 2019-08-16 | 2022-02-25 | 北京慧辰资道资讯股份有限公司 | Device for predicting air quality trend based on environmental protection Internet of things big data |
| CN112581107B (en) * | 2021-02-25 | 2021-06-04 | 北京英视睿达科技有限公司 | Pollution emission control method and device and storable medium |
| CN113092329A (en) * | 2021-04-06 | 2021-07-09 | 西安建筑科技大学 | Control method for preventing and controlling atmospheric pollution |
| CN113449703B (en) * | 2021-08-31 | 2021-11-23 | 天津联图科技有限公司 | Quality control method and device for environment online monitoring data, storage medium and equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103116825A (en) * | 2013-01-29 | 2013-05-22 | 江苏省邮电规划设计院有限责任公司 | Intelligent city management system |
| CN103595792A (en) * | 2013-11-15 | 2014-02-19 | 南京云创存储科技有限公司 | Environmental pollution trend monitoring system |
| CN104237457A (en) * | 2014-05-27 | 2014-12-24 | 李岩 | Air quality monitoring method and system |
| CN104410706A (en) * | 2014-12-10 | 2015-03-11 | 林斌 | Urban smog treatment coordinating system |
| CN105675801A (en) * | 2014-11-18 | 2016-06-15 | 姚秋丽 | Continuous flue gas emission monitoring system |
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| CN103595792A (en) * | 2013-11-15 | 2014-02-19 | 南京云创存储科技有限公司 | Environmental pollution trend monitoring system |
| CN104237457A (en) * | 2014-05-27 | 2014-12-24 | 李岩 | Air quality monitoring method and system |
| CN105675801A (en) * | 2014-11-18 | 2016-06-15 | 姚秋丽 | Continuous flue gas emission monitoring system |
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