CN107941666A - The dynamic calibration method and monitor that a kind of humiture for eliminating particulate matter influences - Google Patents
The dynamic calibration method and monitor that a kind of humiture for eliminating particulate matter influences Download PDFInfo
- Publication number
- CN107941666A CN107941666A CN201711036996.1A CN201711036996A CN107941666A CN 107941666 A CN107941666 A CN 107941666A CN 201711036996 A CN201711036996 A CN 201711036996A CN 107941666 A CN107941666 A CN 107941666A
- Authority
- CN
- China
- Prior art keywords
- mass concentration
- particulate matter
- influences
- measuring environment
- humiture
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 239000013618 particulate matter Substances 0.000 title claims abstract description 54
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000006243 chemical reaction Methods 0.000 claims abstract description 42
- 230000009466 transformation Effects 0.000 claims abstract description 31
- 238000005259 measurement Methods 0.000 claims abstract description 30
- 230000007613 environmental effect Effects 0.000 claims abstract description 17
- 238000004590 computer program Methods 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 7
- 238000012937 correction Methods 0.000 claims description 6
- 230000003993 interaction Effects 0.000 claims description 6
- 230000003287 optical effect Effects 0.000 claims description 6
- 239000000758 substrate Substances 0.000 claims description 6
- 230000007704 transition Effects 0.000 claims description 6
- 230000001939 inductive effect Effects 0.000 claims description 5
- 238000012360 testing method Methods 0.000 claims description 5
- 230000008859 change Effects 0.000 abstract description 9
- 239000002245 particle Substances 0.000 description 8
- 238000000149 argon plasma sintering Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 230000008030 elimination Effects 0.000 description 4
- 238000003379 elimination reaction Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 238000003915 air pollution Methods 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000005250 beta ray Effects 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 239000013078 crystal Substances 0.000 description 1
- 238000007791 dehumidification Methods 0.000 description 1
- 230000018044 dehydration Effects 0.000 description 1
- 238000006297 dehydration reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 229910052757 nitrogen Inorganic materials 0.000 description 1
- 230000005693 optoelectronics Effects 0.000 description 1
- 230000003647 oxidation Effects 0.000 description 1
- 238000007254 oxidation reaction Methods 0.000 description 1
- XTQHKBHJIVJGKJ-UHFFFAOYSA-N sulfur monoxide Chemical compound S=O XTQHKBHJIVJGKJ-UHFFFAOYSA-N 0.000 description 1
- 239000012855 volatile organic compound Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
- G01N15/075—Investigating concentration of particle suspensions by optical means
Landscapes
- Chemical & Material Sciences (AREA)
- Dispersion Chemistry (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The present invention provides the dynamic calibration method and monitor that a kind of humiture for eliminating particulate matter influences, its method includes：Gather environmental parameter and the mass concentration value of measured particulate matter；Establish transformation model；Conversion coefficient is determined according to measuring environment, the conversion coefficient includes the conversion coefficient that temperature and humidity influences mass concentration；Dynamic calibration is carried out to the mass concentration value by the transformation model, obtains the mass concentration after calibration；The present invention realizes dynamic calibration by that can be directed to influence of the varying environment humiture change to particulate matter converted measurement in transformation model, the effective particulate matter sensors that solve by ambient temperature and humidity in the case where being influenced, the problem of particulate matter quality concentration in the air measured is inaccurate, the present invention can overcome to be influenced caused by humiture, improves adaptability and the accuracy of measurement.
Description
Technical field
The present invention relates to environmental testing, more particularly to the dynamic calibration side that a kind of humiture for eliminating particulate matter influences
Method and monitor.
Background technology
With the quickening of process of industrialization step, air pollution has become the Tough questions that China has to face, its
Middle particulate matter duration in surrounding air is very long, creates a great impression to health and atmospheric visibility.Some particles
Thing directly discharging from pollution sources, such as chimney and vehicle.Other are then by surrounding air sulphur oxide, nitrogen oxidation
The tiny particles content that thing, volatile organic compounds and other compounds interact to form, their chemically and physically composition
According to place, weather, the season in 1 year is different and changes very big.
With the development of technology, particle monitoring method is also more and more, there is opto-electronic conversion method, β ray methods, piezo-electric crystal
Method filters the methods of weight method, but these methods are required for resolving the influence of humiture, especially in outdoor application.Particle
Thing can cause the size of particulate matter to change, lead in the case where temperature or humidity change because of particulate matter dehydration or water suction
Cause larger deviation occur in monitor measurement process, however, increasing heating and dehumidification device in monitor air inlet front end to eliminate
Humiture influences, and has of high cost, and power consumption is big, control requires the shortcomings of high.At present, professional standard is by by light scattering formula particle
Detector measured value, CPM (count/point) mass concentration value is converted to, but general public place is only applicable to, mass concentration turns
Coefficient value is changed averagely to be got by multiple effectively samples, and to be some specific indoor environment places obtain for these sampling positions
Arrive, this is clearly deficiency, since the humiture of indoor and outdoor has very big difference in itself, caused by particulate matter size
Influence is also different, and is calculated according to several specific temperature and humidity measurement environment, will necessarily cause error, therefore, it is necessary to one
The new technological means of kind, can overcome influences caused by humiture, improves adaptability and the accuracy of measurement.
The content of the invention
In view of the foregoing deficiencies of prior art, the present invention provides the dynamic that a kind of humiture for eliminating particulate matter influences
Calibration method and monitor, to solve above-mentioned technical problem.
The dynamic calibration method that the humiture provided by the invention for eliminating particulate matter influences, including：
Gather environmental parameter and the mass concentration value of measured particulate matter；
Establish transformation model；
Conversion coefficient is determined according to measuring environment, the conversion coefficient includes turn that temperature and humidity influences mass concentration
Change coefficient；
Dynamic calibration is carried out to the mass concentration value by the transformation model, obtains the mass concentration after calibration.
Further, the transformation model is：
Mx=Kx*Cx+KT*T+KRH*RH+B
Wherein,
CxFor the mass concentration value of the measured particulate matter of collection；
KxFor under measuring environment to CxThe correction factor that mass concentration influences；
KTFor under measuring environment temperature to CxThe temperature transition coefficient that mass concentration influences；
KRHFor under measuring environment humidity to CxThe humidity conversion coefficient that mass concentration influences；
T is the temperature value under measuring environment；
RH is the rh value under measuring environment；
B is the substrate value that optical scatter thing monitor influences humiture under measuring environment.
Further, the temperature value and rh value of environment to be measured are measured, conversion coefficient is obtained by three parametric regression methods,
Mass concentration after calibration is obtained according to conversion coefficient.
Further, long-time sampled measurements are carried out in measuring environment to be measured in advance, the mass concentration of record measurement in real time,
Reference mass concentration, real time temperature and real-time relative humidity, are fitted recurrence by transformation model according to record data, obtain
Take conversion coefficient.
The present invention also provides the dynamic calibration monitor that a kind of humiture for eliminating particulate matter influences, including：
Collecting unit, for gathering environmental parameter and particulate matter inductive signal, the environmental parameter includes test environment
Temperature and humidity；
Processing unit, for handling the data of collection, and establishes transformation model；
Central operation control unit, for calculating the mass concentration value of measured particulate matter；
Dynamic calibration unit, for determining conversion coefficient according to measuring environment, by the transformation model to the quality
Concentration value carries out dynamic calibration, obtains the mass concentration after calibration, and the conversion coefficient includes temperature and humidity to mass concentration
The conversion coefficient of influence.
Further, the transformation model is：
Mx=Kx*Cx+KT*T+KRH*RH+B
Wherein,
CxFor the mass concentration value of the measured particulate matter of collection；
KxFor under measuring environment to CxThe correction factor that mass concentration influences；
KTFor under measuring environment temperature to CxThe temperature transition coefficient that mass concentration influences；
KRHFor under measuring environment humidity to CxThe humidity conversion coefficient that mass concentration influences；
T is the temperature value under measuring environment；
RH is the rh value under measuring environment；
B is the substrate value that optical scatter thing monitor influences humiture under measuring environment.
Further, further include：
Man-machine interaction unit, for setting mass concentration type and environmental parameter；
Display unit, for showing measurement result and human-computer interaction.
Further, collecting unit carries out long-time sampled measurements in selected measuring environment in advance, record measurement in real time
Mass concentration, Reference mass concentration, real time temperature and real-time relative humidity, dynamic calibration unit is according to record data by turning
Mold changing type is fitted recurrence, obtains conversion coefficient.
The present invention also provides a kind of computer-readable recording medium, computer program is stored thereon with, which is processed
Device realizes method any one of the above method when performing.
Beneficial effects of the present invention：The dynamic calibration method and monitoring that the humiture of elimination particulate matter in the present invention influences
Instrument, dynamic school is realized by that can be directed to influence of the varying environment humiture change to particulate matter converted measurement in transformation model
Standard, the effective particulate matter sensors that solve by ambient temperature and humidity in the case where being influenced, the particulate matter in the air measured
The problem of concentration is inaccurate is measured, the present invention can overcome to be influenced caused by humiture, improves adaptability and the accuracy of measurement.
Brief description of the drawings
Fig. 1 is the principle signal for the dynamic calibration method that the humiture of the elimination particulate matter in the embodiment of the present invention influences
Figure.
Fig. 2 is the mass concentration flow path switch figure in the embodiment of the present invention.
Fig. 3 is the structural representation for the dynamic calibration monitor that the humiture of the elimination particulate matter in the embodiment of the present invention influences
Figure.
Embodiment
Illustrate embodiments of the present invention below by way of specific instantiation, those skilled in the art can be by this specification
Disclosed content understands other advantages and effect of the present invention easily.The present invention can also pass through in addition different specific realities
The mode of applying is embodied or practiced, the various details in this specification can also be based on different viewpoints with application, without departing from
Various modifications or alterations are carried out under the spirit of the present invention.It should be noted that in the case where there is no conflict, following embodiments and implementation
Feature in example can be mutually combined.
It should be noted that the diagram provided in following embodiments only illustrates the basic structure of the present invention in a schematic way
Think, then only the display component related with the present invention rather than component count, shape and size during according to actual implementation in schema
Draw, kenel, quantity and the ratio of each component can be a kind of random change during its actual implementation, and its assembly layout kenel
It is likely more complexity.
The dynamic calibration method that the humiture of elimination particulate matter in the present embodiment influences, including：
Gather environmental parameter and the mass concentration value of measured particulate matter；
Establish transformation model；
Conversion coefficient is determined according to measuring environment, the conversion coefficient includes turn that temperature and humidity influences mass concentration
Change coefficient；
Dynamic calibration is carried out to the mass concentration value by the transformation model, obtains the mass concentration after calibration.
As shown in Figure 1, in the present embodiment, transformation model is：
Mx=Kx*Cx+KT*T+KRH*RH+B
Wherein,
CxFor the mass concentration value of the measured particulate matter of collection；
KxFor under measuring environment to CxThe correction factor that mass concentration influences；
KTFor under measuring environment temperature to CxThe temperature transition coefficient that mass concentration influences；
KRHFor under measuring environment humidity to CxThe humidity conversion coefficient that mass concentration influences；
T is the temperature value under measuring environment；
RH is the rh value under measuring environment；
B is the substrate value that optical scatter thing monitor influences humiture under measuring environment.
The humiture dynamic calibration model that particulate matter Particle number concentration is converted to mass concentration by transformation model determines
Position, in the present embodiment, it is necessary first to conversion coefficient is demarcated, carries out long-time sampling in measuring environment to be measured in advance
Measurement, mass concentration, Reference mass concentration, real time temperature and the real-time relative humidity of record measurement in real time, according to record number
Recurrence is fitted according to by transformation model, conversion coefficient is obtained, conversion coefficient K x, K is determined according to measuring environment to be measuredT、KRH
Value after, calculate aimed quality concentration value further according to transformation model.Preferably, in selected measuring environment, can use
Humiture multiple for a long time, which is carried out, using light scattering particle thing monitor and particulate matter quality concentration measuring apparatus compares measurement,
And record the mass concentration C of light scattering type particle monitoring instrumentIn real timeIt is worth (including PM10 or PM2.5), particulate matter quality measurement of concetration
The mass concentration M of instrumentIn real time(including PM10 or PM2.5), environment temperature T values, envionmental humidity RH values, by compareing measurement knot
The data of record are fitted recurrence by fruit according to the transformation model, you can obtain the conversion ginseng under selected measuring environment
Number Kx, KT、KRHValue and B values.MIn real timeRepresent be to be obtained under test environment by using monitor, the present embodiment be
A kind of calibration method for improving humiture and influencing is provided on the basis of monitor.
As shown in Fig. 2, in the present embodiment, conversion coefficient K x, K are returned out using three parametric regression methodsT、KRHAfterwards, according to
Conversion coefficient determines final transformational relation Mx=Kx*Cx+KT*T+KRH* RH+B, calculates aimed quality concentration value, completes to be based on
The dynamic calibration of humiture change, as shown in table 1, can be seen that with reference to this transformation model according to the data of table 1, can be effective
Influence of the solution humiture to monitor measurement mass concentration C, original worst error 37% is fallen below into transformed maximum
Error 6.5%.The present embodiment can effectively solve particulate matter sensors in the case where being influenced by ambient temperature and humidity, Neng Gouzhun
The true particulate matter quality concentration measured in air, the environmental improvement to environmental protection administration provide an accurate reference data.
Table 1
Correspondingly, the present embodiment also provides the dynamic calibration monitor that a kind of humiture for eliminating particulate matter influences, including：
Collecting unit, for gathering environmental parameter and particulate matter inductive signal, the environmental parameter includes test environment
Temperature and humidity；
Processing unit, for handling the data of collection, and establishes transformation model；
Central operation control unit, for calculating the mass concentration value of measured particulate matter；
Dynamic calibration unit, for determining conversion coefficient according to measuring environment, by the transformation model to the quality
Concentration value carries out dynamic calibration, obtains the mass concentration after calibration, and the conversion coefficient includes temperature and humidity to mass concentration
The conversion coefficient of influence；
Man-machine interaction unit, for setting mass concentration type and environmental parameter；
Display unit, for showing measurement result and measurement parameter.
Transformation model in the present embodiment is：
Mx=Kx*Cx+KT*T+KRH*RH+B
Wherein,
CxFor the mass concentration value of the measured particulate matter of collection；
KxFor under measuring environment to CxThe correction factor that mass concentration influences；
KTFor under measuring environment temperature to CxThe temperature transition coefficient that mass concentration influences；
KRHFor under measuring environment humidity to CxThe humidity conversion coefficient that mass concentration influences；
T is the temperature value under measuring environment；
RH is the rh value under measuring environment；
B is the substrate value that optical scatter thing monitor influences humiture under measuring environment.
Collecting unit carries out long-time sampled measurements in selected measuring environment in advance, and the quality of record measurement in real time is dense
Mass concentration, real time temperature and real-time relative humidity after degree, calibration, are fitted according to record data by transformation model
Return, obtain conversion coefficient.
In the present embodiment, collecting unit uses temperature sensor, humidity sensor and light scattering formula particulate matter sensors；
Display unit is display screen；Man-machine interaction unit can use button or touch-screen, and user is set by man-machine interaction unit
The information such as environmental parameter, after starting measurement, particulate in air enters light scattering formula by the air inlet of monitor housing
Grain thing sensing unit, inductive signal is produced to particulate matter, and processing unit is handled the inductive signal that collecting unit produces, by
Central operation control unit carries out signal acquisition, and processing obtains particulate matter quality concentration, is passing through dynamic calibration unit, is realizing matter
The conversion of concentration is measured, obtains aimed quality concentration, then shown by display unit, the dynamic calibration unit in the present embodiment
Main to include processor, memory, transceiver and communication interface, memory and communication interface connect with processor and transceiver
Connect and complete mutual communication, memory is used to store computer program, and communication interface is used to communicate, processor and receipts
Hair device is used to run computer program, monitor is performed each step of as above dynamic calibration method.
In the present embodiment, memory may include random access memory (RandomAccessMemory, abbreviation
RAM), it is also possible to further include nonvolatile memory (non-volatilememory), for example, at least a magnetic disk storage.
Above-mentioned processor can be general processor, including central processing unit (CentralProcessingUnit, letter
Claim CPU), network processing unit (NetworkProcessor, abbreviation NP) etc.；It can also be digital signal processor
(DigitalSignalProcessing, abbreviation DSP), application-specific integrated circuit
(ApplicationSpecificIntegratedCircuit, abbreviation ASIC), field programmable gate array (Field-
ProgrammableGateArray, abbreviation FPGA) either other programmable logic device, discrete gate or transistor logic device
Part, discrete hardware components.
In addition, the present embodiment also provides a kind of computer-readable recording medium, computer program is stored thereon with, the program
Any one of the present embodiment method is realized when being executed by processor.
Computer-readable recording medium in the present embodiment, one of ordinary skill in the art will appreciate that：Realize above-mentioned each
The all or part of step of embodiment of the method can be completed by the relevant hardware of computer program.Foregoing computer program
It can be stored in a computer-readable recording medium.The program upon execution, performs the step for including above-mentioned each method embodiment
Suddenly；And foregoing storage medium includes：ROM, RAM, magnetic disc or CD etc. are various can be with the medium of store program codes.
The above-described embodiments merely illustrate the principles and effects of the present invention, not for the limitation present invention.It is any ripe
Know the personage of this technology all can carry out modifications and changes under the spirit and scope without prejudice to the present invention to above-described embodiment.Cause
This, those of ordinary skill in the art is complete without departing from disclosed spirit and institute under technological thought such as
Into all equivalent modifications or change, should by the present invention claim be covered.
Claims (9)
- A kind of 1. dynamic calibration method that humiture for eliminating particulate matter influences, it is characterised in that including：Gather environmental parameter and the mass concentration value of measured particulate matter；Establish transformation model；Conversion coefficient is determined according to measuring environment, the conversion coefficient includes the conversion system that temperature and humidity influences mass concentration Number；Dynamic calibration is carried out to the mass concentration value by the transformation model, obtains the mass concentration after calibration.
- 2. the dynamic calibration method that the humiture according to claim 1 for eliminating particulate matter influences, it is characterised in that described Transformation model is：Mx=Kx*Cx+KT*T+KRH*RH+BWherein,CxFor the mass concentration value of the measured particulate matter of collection；KxFor under measuring environment to CxThe correction factor that mass concentration influences；KTFor under measuring environment temperature to CxThe temperature transition coefficient that mass concentration influences；KRHFor under measuring environment humidity to CxThe humidity conversion coefficient that mass concentration influences；T is the temperature value under measuring environment；RH is the rh value under measuring environment；B is the substrate value that optical scatter thing monitor influences humiture under measuring environment.
- 3. the dynamic calibration method that the humiture according to claim 2 for eliminating particulate matter influences, it is characterised in that measurement The temperature value and rh value of environment to be measured, conversion coefficient is obtained by three parametric regression methods, and school is obtained according to conversion coefficient Mass concentration after standard.
- 4. the dynamic calibration method that the humiture according to claim 3 for eliminating particulate matter influences, it is characterised in that in advance Long-time sampled measurements are carried out in measuring environment to be measured, mass concentration, in real time mass concentration to be measured, the temperature of record measurement in real time Degree and real-time relative humidity, are fitted recurrence by transformation model according to record data, obtain conversion coefficient.
- A kind of 5. dynamic calibration monitor that humiture for eliminating particulate matter influences, it is characterised in that including：Collecting unit, for gathering environmental parameter and particulate matter inductive signal, the environmental parameter includes the temperature of test environment And humidity；Processing unit, for handling the data of collection, and establishes transformation model；Central operation control unit, for calculating the mass concentration value of measured particulate matter；Dynamic calibration unit, for determining conversion coefficient according to measuring environment, by the transformation model to the mass concentration Value carries out dynamic calibration, obtains the mass concentration after calibration, the conversion coefficient, which includes temperature and humidity, influences mass concentration Conversion coefficient.
- 6. the dynamic calibration monitor that the humiture according to claim 5 for eliminating particulate matter influences, it is characterised in that institute Stating transformation model is：Mx=Kx*Cx+KT*T+KRH*RH+BWherein,CxFor the mass concentration value of the measured particulate matter of collection；KxFor under measuring environment to CxThe correction factor that mass concentration influences；KTFor under measuring environment temperature to CxThe temperature transition coefficient that mass concentration influences；KRHFor under measuring environment humidity to CxThe humidity conversion coefficient that mass concentration influences；T is the temperature value under measuring environment；RH is the rh value under measuring environment；B is the substrate value that optical scatter thing monitor influences humiture under measuring environment.
- 7. the dynamic calibration monitor that the humiture according to claim 6 for eliminating particulate matter influences, it is characterised in that also Including：Man-machine interaction unit, for setting mass concentration type and environmental parameter；Display unit, for showing measurement result and measurement parameter.
- 8. the dynamic calibration monitor that the humiture according to claim 7 for eliminating particulate matter influences, it is characterised in that adopt Collect unit and carry out long-time sampled measurements in selected measuring environment in advance, the mass concentration of record measurement in real time, Reference mass Concentration, real time temperature and real-time relative humidity, dynamic calibration unit are fitted back according to record data by transformation model Return, obtain conversion coefficient.
- 9. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that：The program is held by processor Method any one of claim 1 to 8 is realized during row.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711036996.1A CN107941666A (en) | 2017-10-30 | 2017-10-30 | The dynamic calibration method and monitor that a kind of humiture for eliminating particulate matter influences |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711036996.1A CN107941666A (en) | 2017-10-30 | 2017-10-30 | The dynamic calibration method and monitor that a kind of humiture for eliminating particulate matter influences |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107941666A true CN107941666A (en) | 2018-04-20 |
Family
ID=61936709
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711036996.1A Pending CN107941666A (en) | 2017-10-30 | 2017-10-30 | The dynamic calibration method and monitor that a kind of humiture for eliminating particulate matter influences |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107941666A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109142175A (en) * | 2018-09-10 | 2019-01-04 | 奥来国信（北京）检测技术有限责任公司 | A kind of concentration factor acquisition methods and device and concentration monitoring method and device |
| CN110736691A (en) * | 2019-11-12 | 2020-01-31 | 重庆大学 | Concentration correction method of particle sensor by laser scattering method |
| CN112649336A (en) * | 2020-12-15 | 2021-04-13 | 北京雪迪龙科技股份有限公司 | Humidity interference removing method |
| CN113375723A (en) * | 2021-06-26 | 2021-09-10 | 西北工业大学 | Atmospheric pollution three-dimensional monitoring and data processing method based on fixed-wing unmanned aerial vehicle |
| CN113720741A (en) * | 2021-07-27 | 2021-11-30 | 深圳市正精达仪器有限公司 | Smoke concentration detection method and device, terminal equipment and medium |
| CN114138038A (en) * | 2021-11-29 | 2022-03-04 | 广东鑫钻节能科技股份有限公司 | Air purification system based on air compression station |
| CN116779056A (en) * | 2023-08-24 | 2023-09-19 | 石家庄兆荣科技有限公司 | Polymorphic fusion assessment environment quality method |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11264796A (en) * | 1998-03-18 | 1999-09-28 | Hitachi Metals Ltd | Dust quantity measuring device and measuring method |
| CN201298012Y (en) * | 2008-09-26 | 2009-08-26 | 朱一川 | Microcomputer laser dust monitor |
| CN103245637A (en) * | 2013-04-16 | 2013-08-14 | 北京清风康华科技有限公司 | Method for converting particle number concentration measured by using light scattering method into mass concentration and detector |
| CN203249846U (en) * | 2013-05-31 | 2013-10-23 | 北京环科环保技术公司 | PM2.5 monitor with environmental factor correction function |
| US20150198534A1 (en) * | 2014-01-15 | 2015-07-16 | Purdue Research Foundation | Methods for measuring concentrations of analytes in turbid solutions by applying turbidity corrections to raman observations |
| CN105806756A (en) * | 2016-01-30 | 2016-07-27 | 济南大陆机电股份有限公司 | Method for correcting indoor and outdoor PM2.5 monitoring results by virtue of meteorological parameters |
| CN105868559A (en) * | 2016-03-29 | 2016-08-17 | 北京师范大学 | Atmospheric particulate mass concentration fitting method |
| CN106370570A (en) * | 2016-08-25 | 2017-02-01 | 北京小米移动软件有限公司 | Calibration method and calibration apparatus for measured value of particulate matters |
-
2017
- 2017-10-30 CN CN201711036996.1A patent/CN107941666A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11264796A (en) * | 1998-03-18 | 1999-09-28 | Hitachi Metals Ltd | Dust quantity measuring device and measuring method |
| CN201298012Y (en) * | 2008-09-26 | 2009-08-26 | 朱一川 | Microcomputer laser dust monitor |
| CN103245637A (en) * | 2013-04-16 | 2013-08-14 | 北京清风康华科技有限公司 | Method for converting particle number concentration measured by using light scattering method into mass concentration and detector |
| CN203249846U (en) * | 2013-05-31 | 2013-10-23 | 北京环科环保技术公司 | PM2.5 monitor with environmental factor correction function |
| US20150198534A1 (en) * | 2014-01-15 | 2015-07-16 | Purdue Research Foundation | Methods for measuring concentrations of analytes in turbid solutions by applying turbidity corrections to raman observations |
| CN105806756A (en) * | 2016-01-30 | 2016-07-27 | 济南大陆机电股份有限公司 | Method for correcting indoor and outdoor PM2.5 monitoring results by virtue of meteorological parameters |
| CN105868559A (en) * | 2016-03-29 | 2016-08-17 | 北京师范大学 | Atmospheric particulate mass concentration fitting method |
| CN106370570A (en) * | 2016-08-25 | 2017-02-01 | 北京小米移动软件有限公司 | Calibration method and calibration apparatus for measured value of particulate matters |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109142175A (en) * | 2018-09-10 | 2019-01-04 | 奥来国信（北京）检测技术有限责任公司 | A kind of concentration factor acquisition methods and device and concentration monitoring method and device |
| CN110736691A (en) * | 2019-11-12 | 2020-01-31 | 重庆大学 | Concentration correction method of particle sensor by laser scattering method |
| CN110736691B (en) * | 2019-11-12 | 2021-04-06 | 重庆大学 | Concentration correction method of particulate matter sensor by laser scattering method |
| CN112649336A (en) * | 2020-12-15 | 2021-04-13 | 北京雪迪龙科技股份有限公司 | Humidity interference removing method |
| CN113375723A (en) * | 2021-06-26 | 2021-09-10 | 西北工业大学 | Atmospheric pollution three-dimensional monitoring and data processing method based on fixed-wing unmanned aerial vehicle |
| CN113720741A (en) * | 2021-07-27 | 2021-11-30 | 深圳市正精达仪器有限公司 | Smoke concentration detection method and device, terminal equipment and medium |
| CN114138038A (en) * | 2021-11-29 | 2022-03-04 | 广东鑫钻节能科技股份有限公司 | Air purification system based on air compression station |
| CN116779056A (en) * | 2023-08-24 | 2023-09-19 | 石家庄兆荣科技有限公司 | Polymorphic fusion assessment environment quality method |
| CN116779056B (en) * | 2023-08-24 | 2023-10-20 | 石家庄兆荣科技有限公司 | Polymorphic fusion assessment environment quality method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107941666A (en) | The dynamic calibration method and monitor that a kind of humiture for eliminating particulate matter influences | |
| Cross et al. | Use of electrochemical sensors for measurement of air pollution: correcting interference response and validating measurements | |
| Kuula et al. | Laboratory evaluation of particle-size selectivity of optical low-cost particulate matter sensors | |
| Chatzidiakou et al. | Characterising low-cost sensors in highly portable platforms to quantify personal exposure in diverse environments | |
| Li et al. | Evaluation of nine low-cost-sensor-based particulate matter monitors | |
| CN101033989B (en) | Environmental monitoring device and method | |
| Strapp et al. | Laboratory measurements of the response of a PMS OAP-2DC | |
| Cheng | Comparison of the TSI Model 8520 and Grimm Series 1.108 portable aerosol instruments used to monitor particulate matter in an iron foundry | |
| CN107884322A (en) | The dynamic calibration method and monitor that a kind of chemical constituent for eliminating particulate matter influences | |
| CN103245637B (en) | A kind of Particle number concentration recorded by light scattering method is converted to method and the detector of mass concentration | |
| CN203949849U (en) | A kind of pick-up unit of measuring particle quality concentration | |
| CN202735325U (en) | Handheld suction type volatile gas detector | |
| CN108254495A (en) | A kind of tunnel motor vehicle pollutant monitoring method and system | |
| CN102095831A (en) | Moisture meter management method and system | |
| CN106018193A (en) | Light scattering measurement system and method for particulate matters | |
| CN103217369A (en) | Field lampblack test device | |
| Pawar et al. | Humidity, density, and inlet aspiration efficiency correction improve accuracy of a low-cost sensor during field calibration at a suburban site in the North-Western Indo-Gangetic plain (NW-IGP) | |
| CN202661356U (en) | Instrument for monitoring tiny particulate matters in air | |
| CN112364940A (en) | Atmospheric pollutant source analysis method based on multi-source data, storage medium and equipment | |
| CN203376234U (en) | Field oil smoke detection equipment | |
| US11555771B2 (en) | Method and device for simultaneously measuring mass concentrations of particulates with different sizes | |
| CN104198348B (en) | System and method for PM2.5 concentration detection based on photoelectric integration | |
| CN202177563U (en) | Device adopting laser scattering method to measure distribution of particles in air | |
| CN117129394A (en) | Automatic indoor air detection system and method | |
| CN103353438A (en) | Near-infrared grain composition analysis instrument |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180420 |
|
| RJ01 | Rejection of invention patent application after publication |