CN104237457A - Air quality monitoring method and system - Google Patents
Air quality monitoring method and system Download PDFInfo
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- CN104237457A CN104237457A CN201410296018.0A CN201410296018A CN104237457A CN 104237457 A CN104237457 A CN 104237457A CN 201410296018 A CN201410296018 A CN 201410296018A CN 104237457 A CN104237457 A CN 104237457A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
- Y02A50/20—Air quality improvement or preservation, e.g. vehicle emission control or emission reduction by using catalytic converters
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Abstract
The invention relates to the environment protection field, and in particular relates to an air quality monitoring method and system. The method comprises the steps of acquiring air quality information, uploading the air quality information, calibrating the information, and visually displaying the calibrated information. The system comprises a data acquisition module, a cloud computing module and an application module. According to the air quality monitoring method and system, big cloud data processing and machine technologies are combined, inaccurate sensor equipment at the front end is corrected, and the follow-up data analysis service and a data interface are provided; and PM2.5 data in different times and spaces are analyzed, so that results such as pollutant spreading, diffusion, and quantization can be acquired. The data used in the method and the system are stored in a standard form and is calibrated, so that the follow-up data analysis and processing can be carried out conveniently.
Description
Technical field
The present invention relates to field of Environment Protection, particularly relate to a kind of air quality monitoring method and system.
Background technology
Current PM2.5 monitoring equipment is mainly divided into two large classes, one class very accurately, but that is extremely expensive for price and maintenance cost, as the balance measurement method that state's control station uses, or more portable Thermo equipment, this kind of deployed with devices is safeguarded all very complicated, and the manpower and materials cost of needs is all high, is unfavorable for that large-scale fine granularity is disposed; Another kind of is personal equipment common on market, wherein has the Dylos that accuracy is higher, cost about 3000 yuan, more the equipment of thousand yuan of ranks, although the problem of this kind equipment is that cost is lower, accuracy is all poor, and the consistance between equipment also exists very large problem.
Secondly, current PM2.5 monitors among the equipment of room, and the network that is uploaded to that the equipment except state's control station can be regular is shared, and the equal neither one of equipment of other extensive existence is public, and be widely used, the data center of use can be stored.
Summary of the invention
For produced problem in background technology, the invention provides a kind of air quality monitoring method, for completing air quality collection and monitoring, said method comprising the steps of:
Carry out the collection of air quality information by means of data acquisition module and upload;
By means of high in the clouds computing module, described collection and the information uploaded are calibrated;
By means of application module, the air quality information after described calibration is carried out visual presentation.
Preferably, air quality monitoring method according to claim 1, is characterized in that, described data acquisition module comprises common data source information module, data acquisition equipment and mixed-media network modules mixed-media.
In above-mentioned either a program preferably, described common data source information module comprises at least one in weather data, public PM2.5 data, public monitoring base station data message.
In above-mentioned either a program preferably, described data acquisition equipment comprises at least one in base station type air quality monitoring equipment, portable air quality monitoring device, monitoring base station equipment, Smartphone device.
In above-mentioned either a program preferably, described mixed-media network modules mixed-media is for transmitting the data of described common data source information and the acquisition of described data acquisition equipment to described high in the clouds computing module.
In above-mentioned either a program preferably, the network that described mixed-media network modules mixed-media uses comprises: at least one in GPRS, 3G, wifi, Ethenet, BLE4.0.
In above-mentioned either a program preferably, described high in the clouds module comprises calibration algorithm module and high-level interface module.
In above-mentioned either a program preferably, the method that described calibration algorithm module uses comprises the following steps:
Signal reconstruction is carried out to the Information Monitoring of original air quality, completes preliminary information processing;
Feature extraction is carried out to the information of described rough handling;
By ANN neural network algorithm and/or Gauss's reasoning algorithm, described feature is calibrated and/or reasoning, obtain precise information result.
In above-mentioned either a program preferably, described high-level interface module comprises: time data serial interfaces, GPS air quality interface, equipment Alignment interface.
In above-mentioned either a program preferably, described interface module adopts unified JSON form to carry out data storage.
In above-mentioned either a program preferably, described making is shown and is comprised: online data is visual, travelling assistant, thermal imaging are visual, at least one in mobile phone application.
In above-mentioned either a program preferably, described data comprise: at least one in PM2.5 value, temperature, humidity, history air quality information data.
In above-mentioned either a program preferably, described travelling assistant provides reasonable traffic path according to air quality information, reduces the injury that air pollution causes health.
In above-mentioned either a program preferably, described thermal imaging is visual can show thermograph on map.
In above-mentioned either a program preferably, the information that described mobile phone application is inputted by user carries out real-time air quality feedback.
Present invention also offers a kind of air-quality monitoring system, for completing air quality collection and monitoring, described system comprises with lower module:
Data acquisition module, for air quality information collection with upload;
High in the clouds computing module, for calibrating described collection and the information uploaded;
Application module, for carrying out visual presentation to the air quality information after described calibration.
Preferably, described data acquisition module comprises common data source information module, data acquisition equipment and mixed-media network modules mixed-media.
In above-mentioned either a program preferably, described common data source information module comprises at least one in weather data, public PM2.5 data, public monitoring base station data message.
In above-mentioned either a program preferably, described data acquisition equipment comprises at least one in base station type air quality monitoring equipment, portable air quality monitoring device, monitoring base station equipment, Smartphone device.
In above-mentioned either a program preferably, described mixed-media network modules mixed-media is for transmitting the data of described common data source information and the acquisition of described data acquisition equipment to described high in the clouds computing module.
In above-mentioned either a program preferably, the network that described mixed-media network modules mixed-media uses comprises: at least one in GPRS, 3G, wifi, Ethenet, BLE4.0.
In above-mentioned either a program preferably, described high in the clouds module comprises calibration algorithm module and high-level interface module.
In above-mentioned either a program preferably, the method that described calibration algorithm module uses comprises: at least one in signal reconstruction, ANN neural network, Gaussian process reasoning.
In above-mentioned either a program preferably, described high-level interface module comprises: time data serial interfaces, GPS air quality interface, equipment Alignment interface.
In above-mentioned either a program preferably, described interface module adopts unified JSON form to carry out data storage.
In above-mentioned either a program preferably, described making is shown and is comprised: online data is visual, travelling assistant, thermal imaging are visual, at least one in mobile phone application.
In above-mentioned either a program preferably, described data comprise: at least one in PM2.5 value, temperature, humidity, history air quality information data.
In above-mentioned either a program preferably, described travelling assistant provides reasonable traffic path according to air quality information, reduces the injury that air pollution causes health.
In above-mentioned either a program preferably, described thermal imaging is visual can show thermograph on map.
In above-mentioned either a program preferably, the information that described mobile phone application is inputted by user carries out real-time air quality feedback.
Air quality monitoring method provided by the invention and system, by large for high in the clouds data processing is combined with machine technology, correct front end sensor device not too accurately, and subsequent data analysis service is provided and the method and system of data-interface is provided, by the PM2.5 data analysis to different time space, the results such as such as dispersion of pollutants, diffusion and quantification can be drawn.The data that method and system provided by the invention uses simultaneously store according to the form of standard, and calibrate it, and then facilitate follow-up Data Analysis Services.
Accompanying drawing explanation
Fig. 1 is the air-quality monitoring system frame diagram shown in the present invention one exemplary embodiment.
Fig. 2 is the high in the clouds algorithm calibration frame figure according to Fig. 1.
Fig. 3 is the schematic flow sheet of the data interaction according to Fig. 1.
Fig. 4 is the form schematic diagram of the system hardware submission data according to Fig. 1.
Fig. 5 is the visualization interface figure according to Fig. 1.
Fig. 6 is the traffic path recommendation figure according to Fig. 1.
Fig. 7 is the system interface design sketch according to Fig. 1.
Fig. 8 is the method flow diagram obtaining the application of air quality monitoring mobile phone according to Fig. 1.
Embodiment
As shown in Figure 1, for the air-quality monitoring system frame diagram shown in the present invention one exemplary embodiment, wherein data source is collected air quality information and is sent to high in the clouds analysis engine by network, described data source comprises weather data, PM2.5 data, POIs data and portable air quality monitoring terminal, the network base station that base station type air quality monitoring terminal is connected with networking, described information data and information collecting device pass through GPRS, 3G, wifi, Ethenet, air quality information is sent to high in the clouds analysis engine by the modes such as BLE4.0, information is now only preliminary raw data, as the not too accurate air quality information in front end.Respectively by data processing model, to front end, air quality information carries out data processing to high in the clouds analysis engine not too accurately, ANN calibrating patterns carries out back-propagation algorithm, Gauss's inference pattern carries out Bayes's Gauss analysis, and carrying out data to file the data-interface obtained based on static JSON form, described interface is for application module.Described application module comprises travelling assistant: provide reasonable traffic path according to air quality information, reduces the injury that air pollution causes health; Thermal imaging: thermograph can be shown on map; The information that mobile phone application is inputted by user carries out real-time air quality feedback.
The present embodiment, by large for high in the clouds data processing is combined with machine technology, large Data Management Analysis data source information widely, accept air quality information comprehensively, neural network, Gauss's reasoning scheduling algorithm is used to correct front end air quality information not too accurately, and subsequent data analysis service is provided and data-interface is provided, application end completes various visual application, for user provides service by the interface that high in the clouds provides.
As shown in Figure 2, be the high in the clouds algorithm calibration frame figure according to Fig. 1, mainly comprise off-line training and on-line calibration reasoning two parts, wherein, the data stream that off-line training module produces is learning data stream, and the data stream that on-line calibration reasoning part produces is inference data stream.As shown in the figure, data source is weather data, public PM2.5 data, POIs data and individual sensing data, described data all belong to front end air quality information not too accurately, these data complete calibration by neural network (ANN) calibration module and Gauss's reasoning (GP) module after feature extraction, obtain the unified application data interface based on static JOSN form.
This algorithm calibration frame illustrated process is by the large data processing method in high in the clouds, algorithm process is carried out to data, accurate air quality data is obtained by front-end information not too accurately, obtain unified interface formatted data JSON formatted data simultaneously, for subsequent data analysis service and provide data-interface, application end completes various visual application, for user provides service by the interface that high in the clouds provides.
As shown in Figure 3, it is the schematic flow sheet of the data interaction according to Fig. 1, this figure gives data source to cloud engine again to the interactive mode of data message in the process of application, and in figure, data source information mainly comprises: weather data, for providing the weather condition information on the same day; Public PM2.5 data, for providing the PM2.5 data message closely bound up with health of people; POIs is public monitoring base station data message, and this base station is the equipment of interconnection network, uploads the air quality information monitored in real time; AQM (monitoring terminal)/miniAQM (portable monitoring terminal): the air quality information that nodal terminal data are real-time is provided; Other monitoring base station: other Monitoring Data information is provided.Now, the data obtained are raw data, and namely data stream passes through the algoritic module of cloud engine: data processing, reasoning module, calibration module, data processing are also filed and obtain unified interface.Described interface comprises time data interface: to the PM2.5 data analysis in different time space, can draw the results such as such as dispersion of pollutants, diffusion and quantification; GPS air quality interface: obtain the real time health record based on individual.By described interface, thermal imaging application, travelling assistance application can be obtained further.
In the present embodiment, obtained by initial raw data and enrich numerous accurate application, help people more reasonably to work, live.
As shown in Figure 4, it is the form schematic diagram of the system hardware submission data according to Fig. 1, comprise in metadata part in the present embodiment: device id is A1FC405103E80118, reading of content is pm2.5 data, and reading result particle concentration is 2.5 micrograms, and Data Source name is called air quality monitoring equipment, equipment is base station type terminal, present position is Beijing, Haidian District, dimension 39.8 longitude 111.9.Argument section: time zone BeiJing, China, measurement unit is microgram every cubic metre, and reading type is double precision.Data division comprises: user ID is 531009f0-143b-11e3-8bdb-fc4dd43c0901, and reading value is 1351043674000 and 120.
In the present embodiment, data layout is unified JSON form, and JSON form is the data layout that current field of network communication is commonly used, and this form is easy to read, be easy to expansion, comprise different types of information: geographical location information, device numbering information, concrete equipment reading information simultaneously.
As shown in Figure 5, be the visualization interface figure according to Fig. 1, PM2.5 particle concentration is shown as 22 microgram every cubic metre in real time, temperature 33.99 degrees Celsius, humidity 12.6.Give the value of PM2.5 particle concentration in different time sections in application, as shown in the figure, horizontal ordinate is temporal information, and initial time is 13:30, and the end time is 15:00, and ordinate is particle concentration value, from 0 to 40.Described application additionally provides the historical data of air quality monitoring information, wherein time period precision can be chosen as 1h(1 hour), 1d(1 days), 1m(1 month), 1y(1), all statisticss of All(), the Real-time Monitoring Data of 1 day is have selected in the present embodiment, obviously can find out in 18:00 duration the highest from figure, user can go on a journey in conjunction with own actual situation reasonable arrangement according to analysis chart.
As shown in Figure 6, the travelling assistant traffic path recommendation figure according to Fig. 1, in the present embodiment, origin selects Zhong Guan-cun subway station, terminate point selection Zhichun Road, ground subway station, click and generate (Generate) button, system will calculate the optimal path of trip automatically, and to show respective air quality information be 0.08000 gram.
Air-quality monitoring system provided by the invention, can be real-time calculate user select go on a journey Rational Path, positive role is played to the health of user.
As shown in Figure 7, it is the system interface design sketch according to Fig. 1, show in interface A: user can send current instant position information to server, the air quality information of user present position will be obtained, if send city name information, then can return the whole day average air quality information in this city, if input information is city title+best place, then system can return is that the area of air quality the best is to user entirely.Show in figure B, the system update time is 2014-03-28 20:00, user's input information is No. 2, street, Haidian, Zhong Guan-cun, Haidian District, city of BeiJing, China postcode 100086, the information that system returns is: your current location is " No. 2, street, Haidian, Zhong Guan-cun, Haidian District, city of BeiJing, China postcode 100086 ", the real-time index of air quality is " 150 ", update date 2014-03-28 20:00, average air quality index is " 160 ", city " Beijing ".Show in figure C, user's input information is beijing, system return message for your city, place be Beijing, air quality index is 160, update date 2014-03-28 20:00, user's input information beijingbest, now system return message is oppimum air quality place, current city is Yanqing County, air quality index is 130, update time 2014-03-28 20:00.By good interface and man-machine interaction, user can obtain the information of oneself current location and residing urban air-quality optimal location.
As shown in Figure 8, it is the method flow diagram obtaining the application of air quality monitoring mobile phone according to Fig. 1, step 801 gathers air quality information for data acquisition equipment, described collecting device comprises base station type air quality monitoring equipment, portable air quality monitoring device, monitoring base station equipment, at least one in Smartphone device, described information is preliminary front-end information not too accurately, in step 802, information not too accurately initial for described front end is sent to high in the clouds and processes by mixed-media network modules mixed-media, step 803 is preliminary data treatment step, described data are again respectively through step 804 Neural Network Calibration and step 805 Gauss reasoning calibration, step 806 is for generating the data based on the JSON form of static interface, the data of described JSON form are consolidation form data, be convenient to the expansion of interface, step 807 is that developer completes the exploitation of mobile phone application according to the interface of described JSON form, user is provided to use.
Air quality monitoring method provided by the invention and system, by large for high in the clouds data processing is combined with machine technology, correct front end sensor device not too accurately, and subsequent data analysis service is provided and the method and system of data-interface is provided, by the PM2.5 data analysis to different time space, the results such as such as dispersion of pollutants, diffusion and quantification can be drawn.The data that method and system provided by the invention uses simultaneously store according to the form of standard, and calibrate it, and then facilitate follow-up Data Analysis Services.
Claims (10)
1. air quality monitoring method, for completing air quality collection and monitoring, is characterized in that, said method comprising the steps of:
Carry out the collection of air quality information by means of data acquisition module and upload;
By means of high in the clouds computing module, described collection and the information uploaded are calibrated;
By means of application module, the air quality information after described calibration is carried out visual presentation.
2. air quality monitoring method according to claim 1, is characterized in that, described data acquisition module comprises common data source information module, data acquisition equipment and mixed-media network modules mixed-media.
3. air quality monitoring method according to claim 2, is characterized in that, described common data source information module comprises at least one in weather data, public PM2.5 data, public monitoring base station data message.
4. air quality monitoring method according to claim 2, is characterized in that, described data acquisition equipment comprises at least one in base station type air quality monitoring equipment, portable air quality monitoring device, monitoring base station equipment, Smartphone device.
5. air quality monitoring method according to claim 2, is characterized in that, described mixed-media network modules mixed-media is for transmitting the data of described common data source information and the acquisition of described data acquisition equipment to described high in the clouds computing module.
6. air quality monitoring method according to claim 5, is characterized in that, the network that described mixed-media network modules mixed-media uses comprises: at least one in GPRS, 3G, wifi, Ethenet, BLE4.0.
7. air quality monitoring method according to claim 1, is characterized in that, described high in the clouds module comprises calibration algorithm module and high-level interface module.
8. air quality monitoring method according to claim 7, is characterized in that, the method that described calibration algorithm module uses comprises the following steps:
Signal reconstruction is carried out to the Information Monitoring of original air quality, completes preliminary information processing;
Feature extraction is carried out to the information of described rough handling;
By ANN neural network algorithm and/or Gauss's reasoning algorithm, described feature is calibrated and/or reasoning, obtain precise information result.
9. air-quality monitoring system, for completing air quality collection and monitoring, is characterized in that, described system comprises with lower module:
Data acquisition module, for air quality information collection with upload;
High in the clouds computing module, for calibrating described collection and the information uploaded;
Application module, for carrying out visual presentation to the air quality information after described calibration.
10. air-quality monitoring system according to claim 9, is characterized in that, described data acquisition module comprises common data source information module, data acquisition equipment and mixed-media network modules mixed-media.
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| CN201420350769.1U Expired - Fee Related CN204044127U (en) | 2014-05-27 | 2014-06-27 | Simple air mass monitoring system |
| CN201410296322.5A Pending CN104240109A (en) | 2014-05-27 | 2014-06-27 | Air quality monitoring information visualization method and system |
| CN201410296380.8A Pending CN104237459A (en) | 2014-05-27 | 2014-06-27 | Portable air quality monitoring method and a portable air quality monitoring system |
| CN201410296346.0A Pending CN104237458A (en) | 2014-05-27 | 2014-06-27 | Base station type air quality monitoring method and base station type air quality monitoring system |
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| CN201420350769.1U Expired - Fee Related CN204044127U (en) | 2014-05-27 | 2014-06-27 | Simple air mass monitoring system |
| CN201410296322.5A Pending CN104240109A (en) | 2014-05-27 | 2014-06-27 | Air quality monitoring information visualization method and system |
| CN201410296380.8A Pending CN104237459A (en) | 2014-05-27 | 2014-06-27 | Portable air quality monitoring method and a portable air quality monitoring system |
| CN201410296346.0A Pending CN104237458A (en) | 2014-05-27 | 2014-06-27 | Base station type air quality monitoring method and base station type air quality monitoring system |
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Also Published As
| Publication number | Publication date |
|---|---|
| CN104237458A (en) | 2014-12-24 |
| CN104240109A (en) | 2014-12-24 |
| CN204044127U (en) | 2014-12-24 |
| CN104237459A (en) | 2014-12-24 |
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