CN108020491A - A kind of big data processing method for realizing haze on-line monitoring - Google Patents
A kind of big data processing method for realizing haze on-line monitoring Download PDFInfo
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- CN108020491A CN108020491A CN201610943515.4A CN201610943515A CN108020491A CN 108020491 A CN108020491 A CN 108020491A CN 201610943515 A CN201610943515 A CN 201610943515A CN 108020491 A CN108020491 A CN 108020491A
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Abstract
The present invention discloses a kind of big data processing method for realizing haze on-line monitoring, including step：Data acquisition：Obtain particle size data, spectral data obtains and routine monitoring data；Spectral data examination and calibration：It will be removed containing the spectrogram of illegal and invalid mass spectrometric data, correct the spectrogram of the mass spectrometric data containing deviation；Data compression：Flight time is finally inversed by mass-to-charge ratio, obtains mass-to-charge ratio and the array of signal strength composition, spectral peak signal strength near each mass-to-charge ratio is integrated to obtain the signal strength under the mass-to-charge ratio；Data packing uploads：Various types of data is integrated and upload server of packing；Structured storage and management：Data classified and stored is uploaded in the database of server；Multivariate data, which is integrated, to be excavated：Integrate other data associated with particle size data, spectral data and routine monitoring data.The present invention improves the disposal ability to mass spectrograph mass data and the comprehensive utilization ability to multivariate data, is excavated for data depth and analysis provides powerful.
Description
Technical field
It is particularly a kind of to realize what haze was monitored on-line the present invention relates to environmental monitoring and big data processing technology field
Big data processing method.
Background technology
Haze is divided into two kinds of mist and haze, and mist is made of the small water droplet or ice crystal that are largely suspended in surface air
Aerosol systems, haze mainly by sulfur dioxide, nitrogen oxides and pellet this three form, haze is common in city,
It is that specific weather condition interacts as a result, with the deterioration of air quality, thick weather phenomenon increases with mankind's activity
More, harm aggravates, and thick weather phenomenon is incorporated to mist and is defended together as diastrous weather early-warning and predicting, country by many areas of China
Raw State Family Planning Commission prints and distributes on the 28th《Air pollution in 2013（Haze）Health effect monitoring scheme》, proposition will pass through 3 years to 5 years
Time, establishes the air pollution in the covering whole nation（Haze）Health effect monitoring network, grasp different regions PM2.5 contamination characteristics and
Component difference, understands different regions air pollution health effect situation.
When common mass spectrograph is used as the instrument of aerosol particle in haze monitoring collection air, generally as non-online instrument
Device.Common mass spectrograph is chiefly used in non-online haze monitoring.This mass spectrometric mass analyzer is an ion drift tube, by
The ion that ion gun produces enters field-free drift pipe after accelerating, and flies to ion acceptor with constant speed, and mass of ion is bigger,
Reach that the time used in receiver is longer, and mass of ion is smaller, it is shorter to reach the time used in receiver, can be with according to this principle
The ion of different quality is separated by m/z value sizes, individual mass spectrogram is produced based on a specific sample, is not frequency
Acquisition analysis data, data volume is limited.
Time of-flight mass spectrometer（TOF）It is a kind of mass spectrograph that can produce mass data, it is per second to need collection analysis tens
The even mass spectrogram of a aerosol particles up to a hundred（Including size information and Information in Mass Spectra, size information refers to each fine particle and exists
Two beams calibrate flight time between laser, Information in Mass Spectra；Refer to the flight time with point particle and its correspond to signal strength composition
Array）, the data volume that its unit interval produces is very big, and data structure is complicated, and available data processing method is by manually will
Data copy to special computer is analyzed and processed, and since the data volume of the mass spectrometric initial data of TOF is very big, information is deposited
In bulk redundancy, conventional method simply simply carries out conversion storage, and local computer is retained in a manner of text, although
The most raw information retained, but data still take much room, and also conventional method can only simply support TOF-
The data of MS, carry out some simple basic analyses, can not integrate the data message that each quasi-instrument obtains, fully excavate magnanimity
Information in data, can not be to haze forecast, pollution sources locking tracking, long duration comparative analysis, cross-region Conjoint Analysis, haze
The application such as formation mechenism depth analysis provides support.
Due to appealing drawback, be difficult to realize Spectroscopy data at present uploads and is difficult to unified storage tube in real time
Reason, so can not realize haze on-line monitoring and depth mining analysis, therefore big data processing be improve haze monitoring efficiency and
One big technical bottleneck of accuracy rate.
In view of this, the present inventor is directed to the initial data of TOF collections, proposes a kind of big number for realizing haze on-line monitoring
According to processing method.
The content of the invention
The present invention is to solve the above problems, provide a kind of big data processing method for realizing haze on-line monitoring, to subtract
Few mass spectrograph needs the data volume uploaded, integrates multivariate data easy to unified storage and management, excavates and analyze for data depth
Necessary condition is provided.
To achieve the above object, the technical solution adopted by the present invention is：
A kind of big data processing method for realizing haze on-line monitoring, comprises the following steps：
S1. data acquisition：Particle size data and spectral data are obtained by mass spectrograph, analyzed according to particle size data and spectral data
The chemical constituent data of haze, by obtaining routine monitoring data in assisted detector and sensor；
S2. data examination and calibration：It will be removed containing the spectrogram of illegal and invalid mass spectrometric data, correction contains deviation mass spectrometric data
Spectrogram；
S3. data compression：Mass-to-charge ratio is finally inversed by by the flight time, mass-to-charge ratio and the array of signal strength composition are obtained, to every
The signal strength of spectral peak is integrated to obtain the signal strength under the mass-to-charge ratio near one mass-to-charge ratio, takes the signal strength conduct
Compressed spectral data；
S4. data packing uploads：By particle size data, compressed spectral data and routine monitoring Data Integration, and it is real-time to pack
Ground, which uploads onto the server, makees continuous processing in batches；
S5. structured storage and management：By the particle size data of upload, spectral data and routine monitoring data classified and stored in service
In the database of device, and relevance is established to particle size data, spectral data and routine monitoring data respectively according to the mechanism of setting
Index.
S6. multivariate data, which is integrated, excavates：Integrate other associated with particle size data, spectral data and routine monitoring data
Data, then compare particle size data, spectral data and routine monitoring data and associated data, and the integration for carrying out multiple information is dug
Pick；
Other described data include PM2.5 routine datas, instrument parameter and environmental parameter, wherein, instrument parameter includes instrument shape
State parameter and instrumented site parameter；Environmental parameter includes temperature, humidity, air pressure.
In the step S1, auxiliary monitoring instrument is VOC monitors, and sensor is temperature sensor, humidity sensor is gentle
The one or more of pressure sensor.
The step S2 is specifically included：
It will be excluded containing the illegal spectral data of a height of negative of spectral peak：
Remove and compose spectral data for sky；And the spectral data of the offset of correction spectrum peak position and spectral peak disperse.
The mechanism set in the step S5 is timestamp.
After adopting the above technical scheme, the beneficial effects of the invention are as follows：The present invention incorporates Spectroscopy data and routine
Monitoring data, are reduced mass spectrometric particle size data and the data volume of spectral data by data examination and data compression, so that
It can uniformly upload onto the server and classified and stored is in its database, and by establishing the rope of relevance in the database
Draw, facilitate data query management, in order to data expansion, excavation and depth analysis, not only increase data acquisition, transmission effect
Rate, also improves the accuracy rate of haze monitoring.
Brief description of the drawings
Attached drawing described herein is used for providing a further understanding of the present invention, forms the part of the present invention, this hair
Bright schematic description and description is used to explain the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings：
Fig. 1 is a kind of general flow chart for the big data processing method for realizing haze on-line monitoring of the present invention.
Embodiment
In order to make technical problems, technical solutions and advantages to be solved clearer, clear, tie below
Closing accompanying drawings and embodiments, the present invention will be described in further detail.It should be appreciated that specific embodiment described herein is only used
To explain the present invention, it is not intended to limit the present invention.
As shown in Figure 1, a kind of big data processing method for realizing haze on-line monitoring of the present invention, it includes following step
Suddenly：
A kind of big data processing method for realizing haze on-line monitoring, comprises the following steps：
S1. data acquisition：Particle size data and spectral data are obtained from mass spectrograph, so as to draw the chemical constituent of haze, from auxiliary
Help acquisition routine monitoring data in monitor and sensor；In the step S1, assisted detector is VOC monitors, sensor
For the one or more of temperature sensor, humidity sensor and baroceptor, routine monitoring data then include VOC data, temperature
Degree, hygrometer and/or atmospheric pressure data etc.；
For mass spectrograph, original spectral data is each fine particle time of flight data and its corresponding signal strength composition
Array；
S2. data examination and calibration：It will be removed containing the spectrogram of illegal and invalid mass spectrometric data, correction contains deviation mass spectrometric data
Spectrogram；The step specifically includes：
It will be excluded containing the illegal spectral data of a height of negative of spectral peak：
Remove and compose spectral data for sky；And the spectral data of the offset of correction spectrum peak position and spectral peak disperse, stablize in mass spectrograph
When operation, its spectral peak offset is substantially stable, can carry out generalised displacement correction by unified method.
S3. data compression：Mass-to-charge ratio is finally inversed by by the flight time, obtains mass-to-charge ratio and the array of signal strength composition,
The signal strength of spectral peak near each mass-to-charge ratio is integrated to obtain the signal strength under the mass-to-charge ratio, takes the signal strength
As compressed spectral data；Data volume can be reduced the two or more order of magnitude by which, simultaneously because the matter of the overwhelming majority
Lotus does not have spectral peak signal than place, but occupies storage location yet, simplifies the side of storage using spectral peak mass-to-charge ratio-spectral strength
Formula, can further reduce the amount of data；
S4. data packing uploads：By particle size data, compressed spectral data and routine monitoring Data Integration, and it is real-time to pack
Ground, which uploads onto the server, makees continuous processing in batches；
S5. structured storage and management：By the particle size data of upload, spectral data and routine monitoring data classified and stored in service
In the database of device, and it is respectively that particle size data, spectral data and routine monitoring data establish relevance according to the mechanism of setting
Index, the mechanism set is timestamp；
S6. multivariate data, which is integrated, excavates：Integrate other numbers associated with particle size data, spectral data and routine monitoring data
According to, then particle size data, spectral data and routine monitoring data and associated data are compared, carry out multiple information integration dig
Pick；
Other data include PM2.5 routine datas, instrument parameter and environmental parameter, wherein, instrument parameter is joined including instrument state
Number and instrumented site parameter；Environmental parameter includes temperature, humidity, air pressure.
The present invention incorporates Spectroscopy data and conventional monitoring data, by data examination and data compression by mass spectrograph
Particle size data and spectral data data volume reduce, so as to uniformly upload onto the server and classified and stored in its database
In, and by establishing the index of relevance in the database, facilitate data query management, in order to data expand, excavate and
Depth analysis.
The preferred embodiment of the present invention has shown and described in described above, it should be understood that the present invention is not limited to this paper institutes
The form of disclosure, is not to be taken as the exclusion to other embodiment, and can be used for various other combinations, modification and environment, and energy
Enough in this paper invented the scope of the idea, it is modified by the technology or knowledge of above-mentioned teaching or association area.And people from this area
The modifications and changes that member is carried out do not depart from the spirit and scope of the present invention, then all should be in the protection of appended claims of the present invention
In the range of.
Claims (4)
1. a kind of big data processing method for realizing haze on-line monitoring, it is characterised in that comprise the following steps：
S1. data acquisition：Particle size data and spectral data are obtained by mass spectrograph, analyzed according to particle size data and spectral data
The chemical constituent data of haze, by obtaining routine monitoring data in assisted detector and sensor；
S2. data examination and calibration：It will be removed containing the spectrogram of illegal and invalid mass spectrometric data, correction contains deviation mass spectrometric data
Spectrogram；
S3. data compression：Mass-to-charge ratio is finally inversed by by the flight time, mass-to-charge ratio and the array of signal strength composition are obtained, to every
The signal strength of spectral peak is integrated to obtain the signal strength under the mass-to-charge ratio near one mass-to-charge ratio, takes the signal strength conduct
Compressed spectral data；
S4. data packing uploads：By particle size data, compressed spectral data and routine monitoring Data Integration, and it is real-time to pack
Ground, which uploads onto the server, makees continuous processing in batches；
S5. structured storage and management：By the particle size data of upload, spectral data and routine monitoring data classified and stored in service
In the database of device, and relevance is established to particle size data, spectral data and routine monitoring data respectively according to the mechanism of setting
Index；
S6. multivariate data, which is integrated, excavates：Integrate other numbers associated with particle size data, spectral data and routine monitoring data
According to, then particle size data, spectral data and routine monitoring data and associated data are compared, carry out multiple information integration dig
Pick；
Other described data include PM2.5 routine datas, instrument parameter and environmental parameter, wherein, instrument parameter includes instrument shape
State parameter and instrumented site parameter；Environmental parameter includes temperature, humidity, air pressure.
A kind of 2. big data processing method for realizing haze on-line monitoring as claimed in claim 1, it is characterised in that：The step
In rapid S1, auxiliary monitoring instrument is VOC monitors, and sensor is one kind of temperature sensor, humidity sensor and baroceptor
It is or a variety of.
A kind of 3. big data processing method for realizing haze on-line monitoring as claimed in claim 1, it is characterised in that：The step
Rapid S2 is specifically included：
It will be excluded containing the illegal spectral data of a height of negative of spectral peak：
Remove and compose spectral data for sky；And the spectral data of the offset of correction spectrum peak position and spectral peak disperse.
A kind of 4. big data processing method for realizing haze on-line monitoring as claimed in claim 1, it is characterised in that：The step
The mechanism set in rapid S5 is timestamp.
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Cited By (3)
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| WO2021043179A1 (en) * | 2019-09-06 | 2021-03-11 | 清华大学 | Adaptive correction method and apparatus for mass spectrometer, and intelligent adaptive mass spectrometer |
| CN113204687A (en) * | 2020-11-10 | 2021-08-03 | 摩赛恩科技(苏州)有限公司 | Automatic mass spectrum data uploading method and terminal equipment |
| CN114328505A (en) * | 2021-11-17 | 2022-04-12 | 宝付网络科技（上海）有限公司 | A system and method for automatic generation of general capital statement |
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