CN103245637A - Method for converting particle number concentration measured by using light scattering method into mass concentration and detector - Google Patents

Method for converting particle number concentration measured by using light scattering method into mass concentration and detector Download PDF

Info

Publication number
CN103245637A
CN103245637A CN2013101318801A CN201310131880A CN103245637A CN 103245637 A CN103245637 A CN 103245637A CN 2013101318801 A CN2013101318801 A CN 2013101318801A CN 201310131880 A CN201310131880 A CN 201310131880A CN 103245637 A CN103245637 A CN 103245637A
Authority
CN
China
Prior art keywords
env
concentration
conversion
mass concentration
measurement environment
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.)
Granted
Application number
CN2013101318801A
Other languages
Chinese (zh)
Other versions
CN103245637B (en
Inventor
高鹏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tibet net source technology Co., Ltd.
Original Assignee
BEIJING QINGFENGKANGHUA TECHNOLOGY Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by BEIJING QINGFENGKANGHUA TECHNOLOGY Co Ltd filed Critical BEIJING QINGFENGKANGHUA TECHNOLOGY Co Ltd
Priority to CN201310131880.1A priority Critical patent/CN103245637B/en
Publication of CN103245637A publication Critical patent/CN103245637A/en
Application granted granted Critical
Publication of CN103245637B publication Critical patent/CN103245637B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

The invention provides a method for converting the particle number concentration measured by using a light scattering method into the mass concentration, and a detector. The conversion method adopts an accurate dual-parameter nonlinear conversion model, and in the method, corresponding changes can be made according to the different particle number concentrations, different measurement environments and different concrete types of the outputted mass concentrations. Meanwhile, the invention also provides the portable particulate matter detector using the conversion method. The method and the detector provided by the invention can accurately complete the conversion between the particle number concentration and the mass concentration as well as the measurement of the particle number concentration and the mass concentration.

Description

A kind of population concentration that light scattering method is recorded is converted to method and the detector of mass concentration
Technical field
The present invention relates to a kind of concentration conversion method and detector, relate in particular to method and detector that a kind of population concentration that light scattering method is recorded is converted to mass concentration.
Background technology
Light scattering type particle measuring instrument measurement result be particulate pollutant particle number (number/minute, cpm), though unit is generally population concentration amounts reaction particles pollution level to a certain extent, but because the mass discrepancy of different particles is very big, therefore be not suitable for describing the general status of particle contamination, therefore (comprise PM10, that adopt in relevant criterion PM2.5) all is (the mg/m of mass concentration unit to the particle pollutant 3).
In correlative study before, a lot of people are attempting studying the mutual relationship of these two kinds of indexs, find that two kinds of indexs can be changed mutually in certain fiducial interval range.
The Ministry of Public Health has promulgated relevant industries standard WS/T206-2001 " pellet in the public place air (PM10) assay method light scattering method " in calendar year 2001, wherein the population concentration that records for the light scattering method method that is converted to the mass concentration number has provided guidance, and has provided population concentration and mass concentration conversion coefficient computing formula:
K=C/(R-B) (formula 1)
In the formula:
K-mass concentration conversion coefficient, mg/m3cpm;
The mass concentration value that the C-weight method records, mg/m3;
R-light scattering formula particle detection apparatus measuring value, counting/minute (cpm);
B-light scattering formula particle detector substrate value, counting/minute (cpm).
By the method, can obtain conversion coefficient K.Be defined in same scene simultaneously, gathering more than 12 effectively, sample carries out data statistic analysis, confirming that mass concentration and relative mass concentration have linear regression relation, is the K value with the geometrical mean of its conversion coefficient K as the conversion of this place pellet (PM10) concentration.
Figure BDA00003056888300021
Also provide the scope that instructs of K value in standard simultaneously, conversion coefficient K is 0.02 in public places.
This method has better guide significance, but all use a K mean value to calculate under this method suggestion all situations, and this mean value is just four measured obtaining in given chamber internal field, this obviously is not enough: at first the difference of K value is obvious under the variable grain pollution concentration, all is unified into a value and calculates and will inevitably cause very big error.Secondly the difference of specific gravity of large-size particles (particle radii are between the 10-2.5 micron) in whole PM10 also is very big under the different measuring environment, so need adjust according to measurement environment.
Summary of the invention
In view of described problem, the invention provides method and detector that a kind of population concentration that light scattering method is recorded is converted to mass concentration, this method and detector have been considered the particle contamination of variable concentrations to the influence of conversion, and measurement environment is to the conversion influence.
An aspect of of the present present invention provides a kind of population concentration that light scattering method is recorded to be converted to the method for mass concentration, it is characterized in that this conversion method has adopted the non-linear conversion model:
C x = w x , env C 0 = w x , env K 1 , env ( R - B ) K 2 , env , Wherein
Subscript x is used for the type of sign mass concentration, comprises PM10 and PM2.5 etc.;
Subscript env is used for the sign measurement environment, comprises outside atmosphere, mine etc.;
C xBe aimed quality concentration, comprise PM10 mass concentration C PM10And PM2.5 mass concentration C PM2.5Etc. mass concentration;
C 0Being Reference mass concentration, is from PM10 mass concentration C PM10Or PM2.5 mass concentration C PM2.5Etc. one that chooses in the mass concentration;
w X, envFor under the measurement environment with subscript env sign, described aimed quality concentration C xTo described Reference mass concentration C 0Conversion coefficient;
R is the air pellet population concentration that light scattering type particle detector is measured;
B is the substrate value of light scattering type particle detector;
K 1, envAnd K 2, envFor described population concentration R under with the measurement environment of subscript env sign to described Reference mass concentration C 0Conversion parameter;
Measuring process according to described transformation model is as follows:
Measure the population concentration R of described air pellet with light scattering type particle detector;
Choose described conversion parameter K according to measurement environment 1, envAnd K 2, env
Choose described conversion coefficient w according to aimed quality concentration and measurement environment X, env
Calculate aimed quality concentration according to described transformation model.
Another aspect of the present invention provides a kind of method of demarcating conversion parameter in the described conversion method, it is characterized in that described conversion parameter K 1, envAnd K 2, envDetermine with single ginseng Return Law, comprise the steps:
Use scatter-type particle measuring instrument and particle quality concentration measuring apparatus repeatedly to contrast measurement;
Utilize described contrast measurement result, and relation
Figure BDA00003056888300041
Return out parameter K 2, env, wherein, C 1, env, R 1, envAnd C 2, env, R 2, envBe the measurement of comparison result of twice mass concentration, population concentration;
Utilize the described parameter K that returns out 2, envAnd relation
Figure BDA00003056888300042
Return out parameter K 1, env
Under different measurement environment, carry out described step respectively, to obtain the conversion parameter K under the different measuring environment 1, env, K 2, env
Another aspect of the present invention provides the method for conversion parameter in the described conversion method of another kind of demarcation, it is characterized in that described conversion parameter K 1, envAnd K 2, envDetermine with two ginseng Returns Law, comprise the steps:
Selected a kind of measurement environment is as the reference measurement environment;
Under described reference measurement environment, use scatter-type particle measuring instrument and particle quality concentration measuring apparatus repeatedly to contrast measurement;
By contrasting grain thing population concentration R and Reference mass concentration C in the measurement result 0(comprise C PM10Or C PM2.5Deng) the result, directly carry out match by described nonlinear model to return, get final product Reference mass concentration C under the reference measurement environment 0Conversion parameter K 1, K 2
By the measurement result of contrast in different measurement environment, with described conversion parameter K 1, env, K 2, envBe expressed as K 1, env=m EnvK 1, K 2, env=n EnvK 2, wherein
m EnvBe under the environment with the env sign, described conversion parameter K 1, envWith the conversion parameter K under the described reference measurement environment 1Scale-up factor;
n EnvBe under the environment with the env sign, described conversion parameter K 2, envWith the conversion parameter K under the described reference measurement environment 2Scale-up factor.
Another aspect of the present invention provides a kind of particle detector that uses described concentration conversion method, comprising:
User's setup unit is used for user's setting measurement environment, the mass concentration type that selection will be measured;
Sensor unit produces induced signal with light diffuse transmission type particulate matter sensors to measured airborne particle;
Collecting unit is used for the signal that the timing acquiring sensor produces;
CPU (central processing unit) is handled the signal that collects obtaining population concentration;
The concentration converting unit by described user's setting measurement environment, is converted to the mass concentration that the user selects with described population concentration;
Display unit is shown to screen with net result;
It is characterized in that described concentration converting unit uses the method for claim 1 to carry out the concentration conversion.
Described detector is characterized in that, when described concentration converting unit uses the method for claim 1 to carry out the concentration conversion, and the conversion parameter that adopts the described method of claim 2 to demarcate.
Described detector is characterized in that, when described concentration converting unit uses the method for claim 1 to carry out the concentration conversion, and the conversion parameter that adopts the described method of claim 3 to demarcate.
Described concentration conversion method and detector be by a nonlinear model, considered the difference changed under the variable grain pollution concentration and the difference of changing in the different measuring environment.Make that conversion and the measurement of air pellet population concentration and mass concentration are accurate and simple more.
Description of drawings
Fig. 1 is the process flow diagram according to the conversion parameter calibration process of the first embodiment of the present invention;
Fig. 2 is the process flow diagram of conversion parameter calibration process according to a second embodiment of the present invention;
Fig. 3 is the process flow diagram of the concentration transfer process of a third embodiment in accordance with the invention;
Fig. 4 is the structural representation of the portable particle detector of a fourth embodiment in accordance with the invention.
Embodiment
Below with reference to the accompanying drawings, the specific embodiment of the present invention is described in detail.
First embodiment:
Fig. 1 is the process flow diagram according to the conversion parameter calibration process of the first embodiment of the present invention.
As shown in Figure 1, in step S1010, with population concentration R and mass concentration C xTransformation model be defined as the non-linear conversion model C x = w env , x · C 0 = w env , x · K 1 , env ( R - B ) K 2 , env , Wherein
Subscript x is used for the type of sign mass concentration, comprises PM10 and PM2.5 etc.;
Subscript env is used for the sign measurement environment, comprises outside atmosphere, mine etc.;
C xBe aimed quality concentration, comprise PM10 mass concentration C PM10And PM2.5 mass concentration C PM2.5Etc. mass concentration;
C 0Being Reference mass concentration, is from PM10 mass concentration C PM10Or PM2.5 mass concentration C PM2.5Etc. one that chooses in the mass concentration;
w X, envFor under the measurement environment with subscript env sign, described aimed quality concentration C xTo described Reference mass concentration C 0Conversion coefficient;
R is the air pellet population concentration that light scattering type particle detector is measured;
B is the substrate value of light scattering type particle detector;
K 1, envAnd K 2, envFor described population concentration R under with the measurement environment of subscript env sign to described Reference mass concentration C 0Conversion parameter.
In described transformation model, the population concentration that causes for the separate sources that can embody under the different measuring environment because of particle and the difference of mass concentration conversion in different measurement environment, are used different parameter K 1 , enV and K 2, envFor example, obviously there is very big-difference in the source of particle in the inhabitation residence is in mine neutralization, thereby the quality of identical population concentration purpose pollutant has a great difference, thereby described model adopts different conversion parameter K 1, mine, K 2, mineWith K 1, the household dwelling house, K 2, the household dwelling houseEmbody this species diversity.
In described transformation model, index parameters K 2, envIn the time of can being reflected in different population concentration amounts, the variation of the mass concentration that causes because the ratio of large-size particles and small size particle is different.For example, in actual conditions, more after a little while, the large-size particles quantitative proportion is higher relatively in population concentration, thereby the average quality of each particle is big; And along with population concentration increases, the large-size particles quantitative proportion reduces gradually, thereby the average quality of each particle is little.Index parameters K 2, envCan reflect this characteristic.
In step S1020, choose a kind of mass concentration, as PM10 or PM2.5 etc., as Reference mass concentration.Under the different measuring environment, use single ginseng Return Law, the conversion parameter of population concentration and this Reference mass concentration is demarcated.
Being described as follows of each quantitative relation that wherein relates to:
According to the determined conversion regime of step S1010, the population concentration R that twice records in same measurement environment 1, env, R 2, envContrast measured value C with its mass concentration 1, env, C 2, env, following relation is arranged:
Figure BDA00003056888300081
Figure BDA00003056888300082
Are divided by simultaneously in formula 3, formula 4 both sides, so
Figure BDA00003056888300083
Taken the logarithm in formula 5 both sides, then have
Figure BDA00003056888300084
Thereby, utilize formula 6 can return out parameter K with single ginseng by the contrast measured value 2, env
Utilize described non-linear conversion mode afterwards
Figure BDA00003056888300085
As can be known
Figure BDA00003056888300086
According to formula 7, use to have returned out parameter K 2, env, can return out parameter K by the contrast measured value with single ginseng Return Law 1, env
Comprehensively described, demarcate K 1, envAnd K 2, enThe one-parameter separate regression steps of v is as follows:
Use scatter-type particle measuring instrument and particle quality concentration measuring apparatus repeatedly to contrast measurement;
Utilize described contrast measurement result, and relation
Figure BDA00003056888300087
Return out parameter K 2, env, wherein, C 1, env, R 1, envAnd C 2, env, R 2, envBe the measurement of comparison result of twice mass concentration, population concentration;
Utilize the described parameter K that returns out 2, envAnd relation
Figure BDA00003056888300088
Return out parameter K 1, env
Under different measurement environment, carry out the conversion parameter K that described step obtains varying environment 1, env, K 2, env
Afterwards, in step S1030, by in the different measuring environment, different mass concentrations and Reference mass concentration being done the contrast measurement, can calibrate mass concentration C in the different measuring environment xWith the Reference mass concentration C 0The conversion coefficient w of conversion Env, x
At last, comprehensive described result can demarcate conversion parameter K 1, envAnd K 2, envAnd obtain the transformational relation of population concentration and mass concentration:
C x = w env , x · K 1 , env ( R - B ) K 2 , env .
Second embodiment:
Adopted symbol and the subscript identical with first embodiment in the present embodiment, its meaning is identical with first embodiment, thereby in this no longer repeat specification.
Fig. 2 is the process flow diagram of conversion parameter calibration process according to a second embodiment of the present invention.
As shown in Figure 2, in step S2010, with population concentration R and mass concentration C xConversion regime be defined as the non-linear conversion model
Next, execution in step S2020 is in selected reference measurement environment (as outside atmosphere), for Reference mass concentration, as PM10 or PM2.5 etc., by measuring the control value of a plurality of population concentration and mass concentration, directly use two ginseng Returns Law to return out conversion coefficient K 1And K 2
Then, in step S2030, by the conversion coefficient K under the contrast different measuring environment 1, envAnd K 2, envWith return out conversion coefficient K in the measurement environment of benchmark 1And K 2, can calibrate under the different measuring environment, conversion coefficient is corresponding to the correction factor m of the conversion coefficient under the base case Env, n Env, make K 1, env=m EnvK 1, K 2, env=n EnvK 2
Afterwards, in step S2040, by in the different measuring environment, different mass concentrations and Reference mass concentration being done the contrast measurement, can calibrate with mass concentration C in the measurement environment of subscript env sign xWith the Reference mass concentration C 0The conversion coefficient w of conversion Env, x
At last, comprehensive described result can demarcate conversion parameter K 1, envAnd K 2, envAnd obtain the transformational relation of population concentration and mass concentration:
C x = w env , x · K 1 , env ( R - B ) K 2 , env .
The 3rd embodiment:
Adopted symbol and the subscript identical with first embodiment in the present embodiment, its meaning is identical with first embodiment, thereby in this no longer repeat specification.
Fig. 3 is the process flow diagram of the concentration transfer process of a third embodiment in accordance with the invention.
With reference to figure 3, by the determined non-linear conversion model of the present invention, wherein conversion parameter can be obtained by first embodiment or the described mode of second embodiment, and its transfer process can be finished by following step:
Step S3010: the population concentration R that measures described air pellet with light scattering type particle detector;
Step S3020: determine described conversion parameter K according to measurement environment 1, envAnd K 2, env
Step S3030: determine described conversion coefficient w according to aimed quality concentration and measurement environment X, env
Step S3040: according to described transformation model Calculate aimed quality concentration.
The 4th embodiment:
Fig. 4 is the structural representation of the portable particle detector of a fourth embodiment in accordance with the invention.
With reference to figure 4, portable particle detector 100 comprises: user's setup unit 110, sensor unit 120, collecting unit 130, CPU (central processing unit) 140, concentration converting unit 150 and display unit 160.
Wherein, sensor unit 120 is light scattering formula particulate matter sensors; Display unit 160 is LCDs; Concentration converting unit 150 uses the described method of the 3rd embodiment to carry out the concentration conversion, and conversion parameter is determined by the described method of first embodiment or determined by the described method of second embodiment.
During use, the user passes through user's setup unit 110 specified measurement environment, and selects required mass concentration type, begins to measure; Particulate pollutant enters light scattering formula particulate matter sensors unit 120 through the air inlet of housing afterwards, sensor unit 120 produces induced signal for particle, the signal that collecting unit 130 timing acquiring sensor units 120 produce, by CPU (central processing unit) 140 signal is handled and to be obtained population concentration, in concentration converting unit 150, use conversion method described in the 3rd embodiment then, by the measurement environment of above-mentioned user's setting and required mass concentration type, change out the mass concentration that the user needs, the net result that obtains shows by display unit 160.
Though as above describe having carried out according to embodiments of the invention with reference to accompanying drawing, it will be appreciated by those skilled in the art that the embodiment that described invention is proposed, can also make various improvement on the basis that does not break away from content of the present invention.Therefore, protection scope of the present invention should be determined by the content of appending claims.

Claims (6)

1. the population concentration that light scattering method is recorded is converted to the method for mass concentration, it is characterized in that this conversion method has adopted the non-linear conversion model:
C x = w x , env C 0 = w x , env K 1 , env ( R - B ) K 2 , env , Wherein
Subscript x is used for the type of sign mass concentration, comprises PM10 and PM2.5 etc.;
Subscript env is used for the sign measurement environment, comprises outside atmosphere, mine etc.;
C xBe aimed quality concentration, comprise PM10 mass concentration C PM10And PM2.5 mass concentration C PM2.5Etc. mass concentration;
C 0Being Reference mass concentration, is from PM10 mass concentration C PM10Or PM2.5 mass concentration C PM2.5Etc. one that chooses in the mass concentration;
w X, envFor under the measurement environment with subscript env sign, described aimed quality concentration C xTo described Reference mass concentration C 0Conversion coefficient;
R is the air pellet population concentration that light scattering type particle detector is measured;
B is the substrate value of light scattering type particle detector;
K 1, envAnd K 2, envFor described population concentration R under with the measurement environment of subscript env sign to described Reference mass concentration C 0Conversion parameter;
Measuring process according to described transformation model is as follows:
Measure the population concentration R of described air pellet with light scattering type particle detector;
Choose described conversion parameter K according to measurement environment 1, envAnd K 2, env
Choose described conversion coefficient w according to aimed quality concentration and measurement environment X, env
Calculate aimed quality concentration according to described transformation model.
2. conversion method according to claim 1 is characterized in that, described conversion parameter K 1, envAnd K 2, envDetermine with single ginseng Return Law, comprise the steps:
Use scatter-type particle measuring instrument and particle quality concentration measuring apparatus repeatedly to contrast measurement;
Utilize described contrast measurement result, and relation
Figure FDA00003056888200012
Return out parameter K 2, env, wherein, C 1, env, R 1, envAnd C 2, env, R 2, envBe the measurement of comparison result of twice mass concentration, population concentration;
Utilize the described parameter K that returns out 2, envAnd relation
Figure FDA00003056888200021
Return out parameter K 1, env
Under different measurement environment, carry out described step respectively, to obtain the conversion parameter K under the different measuring environment 1, env, K 2, env
3. conversion method according to claim 1 is characterized in that, described conversion parameter K 1, envAnd K 2, envDetermine with following two ginseng Returns Law, comprise the steps:
Selected a kind of measurement environment is as the reference measurement environment;
Under described reference measurement environment, use scatter-type particle measuring instrument and particle quality concentration measuring apparatus repeatedly to contrast measurement;
By contrasting grain thing population concentration R and Reference mass concentration C in the measurement result 0(comprise C PM10Or C PM2.5Deng) the result, directly carry out match by described nonlinear model to return, get final product Reference mass concentration C under the reference measurement environment 0Conversion parameter K 1, K 2
By the measurement result of contrast in different measurement environment, with described conversion parameter K 1, env, K 2, envBe expressed as
K 1,env=m env·K 1
K 2, env=n EnvK 2, wherein
m EnvBe under the environment with the env sign, described conversion parameter K 1, envWith the conversion parameter K under the described reference measurement environment 1Scale-up factor;
n EnvBe under the environment with the env sign, described conversion parameter K 2, envWith the conversion parameter K under the described reference measurement environment 2Scale-up factor.
4. a right to use requires the particle detector of 1 described concentration conversion method, comprising:
User's setup unit is used for user's setting measurement environment, the mass concentration type that selection will be measured;
Sensor unit produces induced signal with light diffuse transmission type particulate matter sensors to measured airborne particle;
Collecting unit is used for the signal that the timing acquiring sensor produces;
CPU (central processing unit) is handled the signal that collects obtaining population concentration;
The concentration converting unit by described user's setting measurement environment, is converted to the mass concentration that the user selects with described population concentration;
Display unit shows net result;
It is characterized in that described concentration converting unit uses the method for claim 1 to carry out the concentration conversion.
5. detector according to claim 4 is characterized in that, when described concentration converting unit uses the method for claim 1 to carry out the concentration conversion, and the conversion parameter that adopts the described method of claim 2 to demarcate.
6. detector according to claim 4 is characterized in that, when described concentration converting unit uses the method for claim 1 to carry out the concentration conversion, and the conversion parameter that adopts the described method of claim 3 to demarcate.
CN201310131880.1A 2013-04-16 2013-04-16 A kind of Particle number concentration recorded by light scattering method is converted to method and the detector of mass concentration Expired - Fee Related CN103245637B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310131880.1A CN103245637B (en) 2013-04-16 2013-04-16 A kind of Particle number concentration recorded by light scattering method is converted to method and the detector of mass concentration

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310131880.1A CN103245637B (en) 2013-04-16 2013-04-16 A kind of Particle number concentration recorded by light scattering method is converted to method and the detector of mass concentration

Publications (2)

Publication Number Publication Date
CN103245637A true CN103245637A (en) 2013-08-14
CN103245637B CN103245637B (en) 2016-03-16

Family

ID=48925298

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310131880.1A Expired - Fee Related CN103245637B (en) 2013-04-16 2013-04-16 A kind of Particle number concentration recorded by light scattering method is converted to method and the detector of mass concentration

Country Status (1)

Country Link
CN (1) CN103245637B (en)

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104677797A (en) * 2015-03-20 2015-06-03 刘宏志 Ambient air quality representation method
CN105527208A (en) * 2016-01-27 2016-04-27 北京市环境保护监测中心 Correction method for mass concentration data of atmospheric particulates
CN107063950A (en) * 2015-11-26 2017-08-18 富士通株式会社 Computing device and computational methods
CN107132165A (en) * 2017-06-02 2017-09-05 上海申欣环保实业有限公司 The measuring method and device of a kind of bug dust concentration value
CN107735667A (en) * 2015-06-12 2018-02-23 皇家飞利浦有限公司 Optical particulate sensor and method for sensing
CN107884322A (en) * 2017-10-30 2018-04-06 重庆广睿达科技有限公司 The dynamic calibration method and monitor that a kind of chemical constituent for eliminating particulate matter influences
CN107941666A (en) * 2017-10-30 2018-04-20 重庆广睿达科技有限公司 The dynamic calibration method and monitor that a kind of humiture for eliminating particulate matter influences
CN108872039A (en) * 2018-09-19 2018-11-23 中煤科工集团重庆研究院有限公司 A kind of light scattering flue gas particles on-line checking adaptive calibration method
CN109738345A (en) * 2019-01-17 2019-05-10 中国科学院城市环境研究所 A kind of individual particle aerosol real-time quantitative analysis method
CN109932287A (en) * 2017-12-19 2019-06-25 上海迪勤智能科技有限公司 A kind of algorithm of interior PM2.5 mass concentration and number concentration conversion
US10393714B2 (en) 2016-11-28 2019-08-27 International Business Machines Corporation Particulate matter monitoring
CN110573856A (en) * 2017-05-25 2019-12-13 富士通株式会社 Measurement device and measurement method

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0359681B1 (en) * 1988-09-15 1995-11-08 The Board Of Trustees Of The University Of Arkansas Characterization of particles by modulated dynamic light scattering
WO1999037383A1 (en) * 1998-01-26 1999-07-29 Mie Corporation System and method for monitoring airborne particulate
CN2692660Y (en) * 2004-03-31 2005-04-13 朱一川 Laser dust meter
CN101354332A (en) * 2008-09-26 2009-01-28 北京绿林创新数码科技有限公司 Laser powder dust detector with humidity continuous self-correcting function and detecting method thereof
CN201259489Y (en) * 2008-09-26 2009-06-17 北京绿林创新数码科技有限公司 Laser powder detection instrument having humidity continuous self-correction
CN201298012Y (en) * 2008-09-26 2009-08-26 朱一川 Microcomputer laser dust monitor
EP2551648A1 (en) * 2011-07-29 2013-01-30 Services Pétroliers Schlumberger A multiphase flowmeter and a correction method for such a multiphase flowmeter

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0359681B1 (en) * 1988-09-15 1995-11-08 The Board Of Trustees Of The University Of Arkansas Characterization of particles by modulated dynamic light scattering
WO1999037383A1 (en) * 1998-01-26 1999-07-29 Mie Corporation System and method for monitoring airborne particulate
CN2692660Y (en) * 2004-03-31 2005-04-13 朱一川 Laser dust meter
CN101354332A (en) * 2008-09-26 2009-01-28 北京绿林创新数码科技有限公司 Laser powder dust detector with humidity continuous self-correcting function and detecting method thereof
CN201259489Y (en) * 2008-09-26 2009-06-17 北京绿林创新数码科技有限公司 Laser powder detection instrument having humidity continuous self-correction
CN201298012Y (en) * 2008-09-26 2009-08-26 朱一川 Microcomputer laser dust monitor
EP2551648A1 (en) * 2011-07-29 2013-01-30 Services Pétroliers Schlumberger A multiphase flowmeter and a correction method for such a multiphase flowmeter

Cited By (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104677797A (en) * 2015-03-20 2015-06-03 刘宏志 Ambient air quality representation method
CN107735667B (en) * 2015-06-12 2021-06-15 皇家飞利浦有限公司 Optical particle sensor and sensing method
CN107735667A (en) * 2015-06-12 2018-02-23 皇家飞利浦有限公司 Optical particulate sensor and method for sensing
CN107063950A (en) * 2015-11-26 2017-08-18 富士通株式会社 Computing device and computational methods
CN107063950B (en) * 2015-11-26 2019-11-08 富士通株式会社 Computing device and calculation method
US10527596B2 (en) 2015-11-26 2020-01-07 Fujitsu Limited Calculation device and calculation method
CN105527208A (en) * 2016-01-27 2016-04-27 北京市环境保护监测中心 Correction method for mass concentration data of atmospheric particulates
US10914716B2 (en) 2016-11-28 2021-02-09 International Business Machines Corporation Particulate matter monitoring
US11714074B2 (en) 2016-11-28 2023-08-01 International Business Machines Corporation Particulate matter monitoring
US10393714B2 (en) 2016-11-28 2019-08-27 International Business Machines Corporation Particulate matter monitoring
CN110573856B (en) * 2017-05-25 2023-01-06 富士通株式会社 Measurement device and measurement method
CN110573856A (en) * 2017-05-25 2019-12-13 富士通株式会社 Measurement device and measurement method
CN107132165A (en) * 2017-06-02 2017-09-05 上海申欣环保实业有限公司 The measuring method and device of a kind of bug dust concentration value
CN107132165B (en) * 2017-06-02 2019-12-27 上海申欣环保实业有限公司 Method and device for measuring dust mass concentration value
CN107884322A (en) * 2017-10-30 2018-04-06 重庆广睿达科技有限公司 The dynamic calibration method and monitor that a kind of chemical constituent for eliminating particulate matter influences
CN107941666A (en) * 2017-10-30 2018-04-20 重庆广睿达科技有限公司 The dynamic calibration method and monitor that a kind of humiture for eliminating particulate matter influences
CN109932287A (en) * 2017-12-19 2019-06-25 上海迪勤智能科技有限公司 A kind of algorithm of interior PM2.5 mass concentration and number concentration conversion
CN108872039B (en) * 2018-09-19 2020-10-27 中煤科工集团重庆研究院有限公司 Light scattering smoke particulate matter online detection self-adaptive calibration method
CN108872039A (en) * 2018-09-19 2018-11-23 中煤科工集团重庆研究院有限公司 A kind of light scattering flue gas particles on-line checking adaptive calibration method
CN109738345A (en) * 2019-01-17 2019-05-10 中国科学院城市环境研究所 A kind of individual particle aerosol real-time quantitative analysis method
CN109738345B (en) * 2019-01-17 2021-08-20 中国科学院城市环境研究所 Real-time quantitative analysis method for single-particle aerosol

Also Published As

Publication number Publication date
CN103245637B (en) 2016-03-16

Similar Documents

Publication Publication Date Title
CN103245637B (en) A kind of Particle number concentration recorded by light scattering method is converted to method and the detector of mass concentration
Li et al. Evaluation of nine low-cost-sensor-based particulate matter monitors
Alfano et al. A review of low-cost particulate matter sensors from the developers’ perspectives
Papapostolou et al. Development of an environmental chamber for evaluating the performance of low-cost air quality sensors under controlled conditions
Pillarisetti et al. Small, smart, fast, and cheap: microchip-based sensors to estimate air pollution exposures in rural households
Honeycutt et al. Precision and limits of detection for selected commercially available, low-cost carbon dioxide and methane gas sensors
CN101033989B (en) Environmental monitoring device and method
CN101299031B (en) Method for detecting automobile tail gas based on gas sensor array
CN104677792A (en) Portable apparatus for estimating air quality
CN108254495A (en) A kind of tunnel motor vehicle pollutant monitoring method and system
Venkatraman Jagatha et al. Calibration method for particulate matter low-cost sensors used in ambient air quality monitoring and research
CN107941666A (en) The dynamic calibration method and monitor that a kind of humiture for eliminating particulate matter influences
Tan Laboratory evaluation of low to medium cost particle sensors
Zhang et al. Smartphone app for residential testing of formaldehyde (SmART-form)
Gómez-Suárez et al. A novel bike-mounted sensing device with cloud connectivity for dynamic air-quality monitoring by urban cyclists
Kamp et al. Low-cost fluorescence sensor for ammonia measurement in livestock houses
CN107884322A (en) The dynamic calibration method and monitor that a kind of chemical constituent for eliminating particulate matter influences
Horender et al. Traceable PM2. 5 and PM10 calibration of low-cost sensors with ambient-like aerosols generated in the laboratory
CN112964834A (en) Calibration method of dynamic calibrator for fixed pollution source
CN112611688A (en) Automatic calibration device and method for atmosphere monitoring equipment
Kim et al. Comparison of the concentrations of heavy metals in PM2. 5 analyzed in three different global research institutions using X-ray fluorescence
Tsang et al. A novel IoT-enabled wireless sensor grid for spatial and temporal evaluation of tracer gas dispersion
Herts et al. Cloud service ThingSpeak for monitoring the surface layer of the atmosphere polluted by particulate matters
Bencs et al. Comparative study on the use of some low-cost optical particulate sensors for rapid assessment of local air quality changes
CN109791101B (en) Method and device for simultaneously measuring mass concentration of particles with different particle diameters

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
TR01 Transfer of patent right

Effective date of registration: 20180530

Address after: 850000, 2 units, 1 units, 12 international headquarters city, Liu Wu New District, Lhasa, Tibet.

Patentee after: Tibet net source technology Co., Ltd.

Address before: 100083 Beijing Haidian District Wudaokou East Wang Zhuang a 1 3 3 302

Patentee before: Beijing Qingfengkanghua Technology Co., Ltd.

TR01 Transfer of patent right
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20160316

Termination date: 20190416

CF01 Termination of patent right due to non-payment of annual fee