CN103196830A - Quantitative monitoring method for environmental odor pollution - Google Patents
Quantitative monitoring method for environmental odor pollution Download PDFInfo
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- CN103196830A CN103196830A CN2013100985244A CN201310098524A CN103196830A CN 103196830 A CN103196830 A CN 103196830A CN 2013100985244 A CN2013100985244 A CN 2013100985244A CN 201310098524 A CN201310098524 A CN 201310098524A CN 103196830 A CN103196830 A CN 103196830A
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Abstract
The invention discloses a quantitative monitoring method for atmospheric environmental odor pollution, which comprises the following steps of: sequentially carrying out detection on various standard sample gases by using a sensor array, and for each kind of standard sample gas, obtaining a set of standard sensor signal values and corresponding odor strength values; according to multiple sets of standard sensor signal values and corresponding odor strength values, establishing a linear correlation curve between the detection values of the sensor array and the odor strength values through partial least squares values; and detecting the current atmospheric environment in real time through the sensor array so as to obtain a set of actual detection signal values of the sensor array, and converting the actual detection signal values into current atmospheric environment polluted actual odor strength values according to the linear correlation curve. According to the invention, through establishing a linear correlation curve between the detection values of the sensor array and the odor strength values, current atmospheric environment polluted actual odor strength values are obtained, therefore, the detection speed is rapid, and the influence of human subjectivity is eliminated.
Description
Technical field
The present invention relates to environmental monitoring, be specifically related to environment odor pollution Quantitative Monitoring method.
Background technology
In recent years, along with rapid economy development, projects such as many chemical industry, petrochemical industry, coking, sewage treatment plant, destructor plant, pharmaceutical factory, winery, cement mill are built in succession and are put into operation, and the odor pollution of institute's association meanwhile becomes the much-talked-about topic that environmental protection is complained day by day.
Odor pollution is different from other atmospheric pollution, principal feature is that the odorant kind is many, distribution is wide, coverage is big, nearly 4500 kinds of at present known foul gas, the pollution source that produce stench have industrial pollution source, domestic pollution source is (as the toilet, heap garbage thing, sewer etc.) and body secrete pollutant etc., these pollution source constantly produce odorant and a large amount of unpleasant foul smell of incomplete oxidations such as alcohols, aldehydes and lipid.Therefore, carry out the Quantitative Monitoring of atmosphere stench, for environmental management, odor treatment and evaluation provide detailed accurate data very necessary.
At present, the method that quantitatively detects stench mainly contains two kinds: the one, and the instrumental method in measuring atmosphere centered by the stench composition, another kind is that people's sense of smell is measured the sense organ determination method of odor strength as monitor, and topmost foundation is " 3 comparison expressions of the mensuration of air quality stench are smelt a bag method " GB/T14675-93).
But all there is certain limitation in above-mentioned two kinds of methods.Though instrumental method can accurately detect the concentration of respective substance in the atmosphere, can't the concentration of stink substance is corresponding with people's sense organ intensity.And the sense organ determination method need judge to determine stench concentration according to the sense organ of smelling the person of distinguishing of professional training, there is certain subjectivity in this kind method, and on data succession property, monitoring promptness, data repeatability and running cost, all have serious problems, cause and can't substantial atmospheric pollution effectively be monitored.
Summary of the invention
How fast and accurately technical matters to be solved by this invention is the problem that solves odor pollution in the Quantitative Monitoring environment.
In order to solve the problems of the technologies described above, the technical solution adopted in the present invention provides a kind of environment odor pollution Quantitative Monitoring method, may further comprise the steps:
The sensor array that utilizes the multiple gases detecting sensor to form detects the multiple standards sample gas successively, obtains one group of standard transducer signal value and corresponding stench intensity level at each standard model gas;
According to many groups standard transducer signal value and corresponding stench intensity level, set up the detected value of described sensor array and the linear dependence linearity curve between the stench intensity level by partial least square method;
Detect current atmospheric environment in real time by described sensor array, obtain one group of actual detected signal value of described sensor array, and described actual detected signal value is scaled the actual stench intensity level that pollutes current atmospheric environment according to described linear dependence linearity curve.
In said method, when setting up described linear dependence linearity curve, every group of input data are the integration of each described standard transducer signal value in a period of time.
In said method, described a period of time was at least 10 minutes.
In said method, according to many groups standard signal value sensor and corresponding stench type, set up the detected value of described sensor array and the one-dimensional discrete collection of illustrative plates of stench type by linear discriminant analysis, form stench type template;
According to described actual detected signal value and described stench type template, identify the stench type of polluting current atmospheric environment.
The present invention, set up the detected value of sensor array and the linear dependence linearity curve between the stench intensity level by the partial least square method value, thereby can corresponding acquisition pollute the actual stench intensity level of current atmospheric environment, detection speed is fast, and has got rid of the influence of artificial subjectivity.
Description of drawings
Fig. 1 is atmospheric environment odor pollution Quantitative Monitoring method flow diagram provided by the invention;
Fig. 2 sets up the detected value of sensor array and the process flow diagram of the linear dependence linearity curve between the stench intensity level for partial least square method among the present invention.
Embodiment
Below in conjunction with accompanying drawing the present invention is made detailed explanation.
Atmospheric environment odor pollution Quantitative Monitoring method provided by the invention may further comprise the steps:
The PID photoelectric sensor is for detection of volatile organic compounds (VOC, Volatile Organic Compounds) and other toxic gas of extremely low concentration (0-1000ppm), for example:
Aromatics: contain the series compound of phenyl ring, such as: benzene, toluene, naphthalene etc.;
Ketone and aldehydes: the compound that contains the C=O key.Such as: acetone, etc.;
Ammonia and amine: the hydrocarbon that contains N.Such as dimethyl amine etc.;
Halogenated hydrocarbon: sulfo-hydro carbons:
Unsaturated hydro carbons: alkene etc.;
Alcohols;
Carbon-free inorganic gas: ammonia, arsenic, selenium etc., bromine and iodine class etc.
8 electrochemical sensors are respectively applied to detect: ammonia (NH
3), sulfuretted hydrogen (H
2S), trimethylamine ((CH
3)
3N), styrene (C
8H
8), methyl mercaptan (CH
3SH), dimethyl sulfide ((CH
3)
2S), dimethyl disulfide ((CH
3) S
2), carbon disulphide (CS
2).
The concrete practice of step 1 is:
At first, utilize sensor array that a kind of standard model gas is monitored, and preserve one group of respective response signal (standard transducer signal value) that the sensor array obtains.
Then, above-mentioned standard model gas is smelt bag method by 3 comparison expressions manually smell its stench intensity (OU) value, obtain stench intensity (OU) value of this standard model gas correspondence.
Change different standard model gas, adopt above-mentioned same method to obtain one group of standard transducer signal value and corresponding stench intensity level at each standard model gas respectively.
Step 2, basis many groups standard transducer signal values and corresponding stench intensity levels are set up the detected value of the sensor array and the linear dependence linearity curve between the stench intensity level by partial least square method PLS (Partial least squares method);
The PLS algorithm is that a kind of many dependent variables are to the regression modeling method of many independents variable, can solve many insurmountable problems of common multiple regression of in the past using preferably, the principle of partial least squares regression is to set up linear model a: Y=XB+E, wherein X is the response matrix with m variable, n sample point, Y is the prediction matrix with p variable, n sample point, B is the regression coefficient matrix, E is the noise correction matrix, have identical dimension with Y, the employing regression algorithm is found out the linear relationship between two matrix X and the Y.Traditional PLS algorithm, its input data are that each sensor is at the signal value of certain time point, among the present invention, the PLS algorithm is improved, every group of input data are the integration of each standard transducer signal value in a period of time, this time period is no less than 10 minutes, the partial least-squares regressive analysis of making on this basis, curve match, and the result is more accurate, reliable.
Among the present invention, the model of (multivariate) PLS algorithm is:
X＝TP
T+E
Y＝UQ
T+F
Wherein:
X is n * m type prediction matrix, and m is the quantity of sensor in the sensor array, and n is number of samples;
Y is n * p-type response matrix, and p is the stench intensity level, and n is number of samples;
T and U are respectively the projection of X and Y, are p * l type matrix, and p is the capable variable of matrix, and l is the matrix column variable, P
TThe transposed matrix of expression P, Q
TThe transposed matrix of expression Q;
P and Q are respectively m * l and p * l type quadrature load matrix;
E and F are the error term matrix, its component is that model of fit and actual observed value are in the residual error (or deviation) of each point, it is minimum that the weighted sum of squares of residual error reaches, and this moment, the curve of asking was called under the weighted least-squares meaning the matched curve of data, and E and F are assumed to normal matrix;
Among the present invention, X and Y among the conventional P LS algorithm model Y=XB+E are decomposed, its objective is that the equation of linear regression between structure X and the Y is Y=XB+B in order to maximize the covariance of T and U
0
The process that realizes the PLS algorithm is as follows:
Step S11, input parameter: W
(0), W
(1)... W
(l-1)And y;
W
(0), W
(1)... W
(l-1)The vector of a sensor detected value in the corresponding one group of sensor array of difference (i.e. many group detected values), l=9;
Y is the vector (i.e. many group (OU) values) that 3 comparison expressions are smelt corresponding stench intensity (OU) value that bag method manually smells.
Step S12, carry out initialization:
X
(0)←X;
W
(0)←X
Ty/||X
||T||y||;
T
(0)←XW
(0)
|| the representing matrix determinant.
Step S13, enter a loop body, loop variable is k, and scope utilizes loop body to obtain regression coefficient B and B from 0 to l
0, the loop body course of work is as follows:
t
k←T
(k)TT
(k);
T
(k)←T
(k)/t
k;
P
k←T
(k)TT
(k);
q
k←y
TT
(k)。
Wherein, t is in order to calculate an intermediate variable of convenient definition.
Calculate q
kValue, if q
k=0, just k is composed to l, and interrupt circulation, change step S15; If q
k≠ 0, then judge the relation of k and l, if k less than l, then changes step S14; Otherwise change step S15;
Step S14, order,
X
(k+1)←X
(k)-t
kT
(k)P
(k)T；
W
(k+1)←X
(k+1)Ty;
T(
k+1)←X
(k+1)W
(k+1)
Loop body finishes.
Step S15, definition W are the matrix W that comprises these row
(0), W
(1)... W
(l-1), similarly define P, q;
B←W(P
TW)
-1q;
B
0←q
0-p
(0)B;
B and B
0Return results for algorithm (function).
After the corresponding linear relationship of the power of having set up the standard transducer detection signal and stench intensity (OU) value height, as long as the signal value of sensor response is arranged, will calculate corresponding stench intensity (OU) value.
Step 3, detect in real time current atmospheric environment by sensor array, obtain one group of actual detected signal value of sensor array, and the actual detected signal value is scaled the actual stench intensity level that pollutes current atmospheric environment according to the linear dependence linearity curve.
In addition, among the present invention, according to many groups standard signal value sensor and corresponding stench type, set up the detected value of sensor array and the one-dimensional discrete collection of illustrative plates of stench type by linear discriminant analysis, form stench type template.Stench type according to actual detected signal value and stench type template acquisition pollution current environment.
The present invention is not limited to above-mentioned preferred forms, and anyone should learn the structural change of making under enlightenment of the present invention, and every have identical or close technical scheme with the present invention, all falls within protection scope of the present invention.
Claims (4)
1. atmospheric environment odor pollution Quantitative Monitoring method is characterized in that, may further comprise the steps:
The sensor array that utilizes the multiple gases detecting sensor to form detects the multiple standards sample gas successively, obtains one group of standard transducer signal value and corresponding stench intensity level at each standard model gas;
According to many groups standard transducer signal value and corresponding stench intensity level, set up the detected value of described sensor array and the linear dependence linearity curve between the stench intensity level by partial least square method;
Detect current atmospheric environment in real time by described sensor array, obtain one group of actual detected signal value of described sensor array, and described actual detected signal value is scaled the actual stench intensity level that pollutes current atmospheric environment according to described linear dependence linearity curve.
2. atmospheric environment odor pollution Quantitative Monitoring method as claimed in claim 1 is characterized in that, when setting up described linear dependence linearity curve, every group of input data are the integration of each described standard transducer signal value in a period of time.
3. atmospheric environment odor pollution Quantitative Monitoring method as claimed in claim 2 is characterized in that described a period of time was at least 10 minutes.
4. environment odor pollution Quantitative Monitoring method as claimed in claim 1 is characterized in that,
According to many groups standard signal value sensor and corresponding stench type, set up the detected value of described sensor array and the one-dimensional discrete collection of illustrative plates of stench type by linear discriminant analysis, form stench type template;
According to described actual detected signal value and described stench type template, identify the stench type of polluting current atmospheric environment.
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104201085A (en) * | 2014-08-25 | 2014-12-10 | 暨南大学 | Direct mass spectrometric analysis method for stinking organic matters discharged from landfill |
| CN105303778A (en) * | 2015-03-23 | 2016-02-03 | 上海宁和环境科技发展有限公司 | Dual-mode air peculiar smell monitoring and early warning system based on characteristic pollutants and electron nose |
| CN106153823A (en) * | 2016-06-20 | 2016-11-23 | 青岛海尔股份有限公司 | Detection method, device and the refrigerator that between refrigerator storing, olfactory sensation is affected by indoor climate |
| CN108254495A (en) * | 2017-12-13 | 2018-07-06 | 上海市环境科学研究院 | A kind of tunnel motor vehicle pollutant monitoring method and system |
| CN108645971A (en) * | 2018-05-11 | 2018-10-12 | 浙江工商大学 | A kind of air peculiar smell strength grade detection method based on electronic nose |
| CN108732226A (en) * | 2018-04-02 | 2018-11-02 | 北京拓扑智鑫环境科技股份有限公司 | Thioether class gas-detecting device and method |
| CN108732236A (en) * | 2018-03-08 | 2018-11-02 | 浙江中通检测科技有限公司 | A kind of organic smell substance analysis method |
| CN109633094A (en) * | 2018-12-28 | 2019-04-16 | 浙江省环境监测中心 | A kind of odor concentration on-line monitoring method |
| CN111766337A (en) * | 2020-06-12 | 2020-10-13 | 北京盈盛恒泰科技有限责任公司 | Odor concentration OU value algorithm based on sensor array of multi-component gas detector |
| US10948467B2 (en) | 2018-05-17 | 2021-03-16 | East China University Of Science And Technology | Online centralized monitoring and analysis method for multi-point malodorous gases using electronic nose instrument |
| CN113075264A (en) * | 2021-03-30 | 2021-07-06 | 北京艾森泰科科技有限责任公司 | Method and device for calculating odor concentration value through sensor signal value fitting |
| CN113358702A (en) * | 2021-06-08 | 2021-09-07 | 无锡时和安全设备有限公司 | Pollution source monitoring system based on sensor array modularization |
| CN115545565A (en) * | 2022-11-24 | 2022-12-30 | 江苏省生态环境大数据有限公司 | Method and system for managing and controlling total amount of pollution discharged from park based on atmospheric environment quality |
| CN115901900A (en) * | 2022-11-08 | 2023-04-04 | 广州市中耕信息技术有限公司 | Harmful gas detection method, device and equipment based on MOS gas sensor array |
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Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104201085A (en) * | 2014-08-25 | 2014-12-10 | 暨南大学 | Direct mass spectrometric analysis method for stinking organic matters discharged from landfill |
| CN104201085B (en) * | 2014-08-25 | 2017-02-22 | 暨南大学 | Direct mass spectrometric analysis method for stinking organic matters discharged from landfill |
| CN105303778A (en) * | 2015-03-23 | 2016-02-03 | 上海宁和环境科技发展有限公司 | Dual-mode air peculiar smell monitoring and early warning system based on characteristic pollutants and electron nose |
| CN106153823A (en) * | 2016-06-20 | 2016-11-23 | 青岛海尔股份有限公司 | Detection method, device and the refrigerator that between refrigerator storing, olfactory sensation is affected by indoor climate |
| CN106153823B (en) * | 2016-06-20 | 2018-04-20 | 青岛海尔股份有限公司 | Detection method, device and the refrigerator that the indoor smell of refrigerator storing influences smell |
| CN108254495A (en) * | 2017-12-13 | 2018-07-06 | 上海市环境科学研究院 | A kind of tunnel motor vehicle pollutant monitoring method and system |
| CN108254495B (en) * | 2017-12-13 | 2023-08-22 | 上海市环境科学研究院 | Tunnel motor vehicle pollutant monitoring method and system |
| CN108732236A (en) * | 2018-03-08 | 2018-11-02 | 浙江中通检测科技有限公司 | A kind of organic smell substance analysis method |
| CN108732226A (en) * | 2018-04-02 | 2018-11-02 | 北京拓扑智鑫环境科技股份有限公司 | Thioether class gas-detecting device and method |
| CN108732226B (en) * | 2018-04-02 | 2020-05-12 | 北京拓扑智鑫环境科技股份有限公司 | Thioether gas detection device and method |
| CN108645971A (en) * | 2018-05-11 | 2018-10-12 | 浙江工商大学 | A kind of air peculiar smell strength grade detection method based on electronic nose |
| US10948467B2 (en) | 2018-05-17 | 2021-03-16 | East China University Of Science And Technology | Online centralized monitoring and analysis method for multi-point malodorous gases using electronic nose instrument |
| CN109633094A (en) * | 2018-12-28 | 2019-04-16 | 浙江省环境监测中心 | A kind of odor concentration on-line monitoring method |
| CN111766337A (en) * | 2020-06-12 | 2020-10-13 | 北京盈盛恒泰科技有限责任公司 | Odor concentration OU value algorithm based on sensor array of multi-component gas detector |
| CN111766337B (en) * | 2020-06-12 | 2022-07-22 | 北京盈盛恒泰科技有限责任公司 | Odor concentration OU value algorithm based on sensor array of multi-component gas detector |
| CN113075264A (en) * | 2021-03-30 | 2021-07-06 | 北京艾森泰科科技有限责任公司 | Method and device for calculating odor concentration value through sensor signal value fitting |
| CN113358702A (en) * | 2021-06-08 | 2021-09-07 | 无锡时和安全设备有限公司 | Pollution source monitoring system based on sensor array modularization |
| CN115901900A (en) * | 2022-11-08 | 2023-04-04 | 广州市中耕信息技术有限公司 | Harmful gas detection method, device and equipment based on MOS gas sensor array |
| CN115545565A (en) * | 2022-11-24 | 2022-12-30 | 江苏省生态环境大数据有限公司 | Method and system for managing and controlling total amount of pollution discharged from park based on atmospheric environment quality |
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Address after: 100070 Beijing Fengtai District Branch Road No. 7 room 210 (Park) Patentee after: BEIJING TOP FORTUNE TECHNOLOGY CO., LTD. Address before: 100070 Beijing Fengtai District Branch Road No. 7 room 210 (Park) Patentee before: Beijing Top Fortune Technology Co., Ltd. |