CN105447455A - Laser modulation absorption gas sensor signal pretreatment method - Google Patents
Laser modulation absorption gas sensor signal pretreatment method Download PDFInfo
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- CN105447455A CN105447455A CN201510788547.7A CN201510788547A CN105447455A CN 105447455 A CN105447455 A CN 105447455A CN 201510788547 A CN201510788547 A CN 201510788547A CN 105447455 A CN105447455 A CN 105447455A
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- 238000010521 absorption reaction Methods 0.000 title abstract description 4
- 238000002203 pretreatment Methods 0.000 title abstract 3
- 238000000034 method Methods 0.000 claims abstract description 48
- 238000012545 processing Methods 0.000 claims abstract description 16
- 230000003287 optical effect Effects 0.000 claims abstract description 4
- 230000002159 abnormal effect Effects 0.000 claims description 10
- 230000004069 differentiation Effects 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 2
- 238000005259 measurement Methods 0.000 abstract description 2
- 238000012217 deletion Methods 0.000 abstract 1
- 230000037430 deletion Effects 0.000 abstract 1
- 238000004088 simulation Methods 0.000 abstract 1
- 238000000041 tunable diode laser absorption spectroscopy Methods 0.000 description 6
- 238000012360 testing method Methods 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 238000001914 filtration Methods 0.000 description 2
- 239000000523 sample Substances 0.000 description 2
- 238000010998 test method Methods 0.000 description 2
- 230000002547 anomalous effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 230000000875 corresponding effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000005693 optoelectronics Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/02—Preprocessing
- G06F2218/04—Denoising
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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Abstract
The invention discloses a laser modulation absorption gas sensor signal pretreatment method. Collected sensor simulation signals are converted into digital signals. The digital signals are stored in a one-dimensional fixed long array mode. For the stored array, according to a set threshold value, shielding optical path signal deletion is performed. A figure which is lower than the threshold value is removed and then initial concentration is calculated. High concentration signals and low concentration signals are distinguished. When the signals are the low concentration signals, low concentration signal noise removing processing is performed. When the signals are the high concentration signals, high concentration signal noise removing processing is performed. The signals after noise removing processing are sent into a subsequent processing step and then pretreatment is completed. By using the method, for different interference types, the respective pretreatment method is provided; pretreatment after low concentration and high concentration signal sensing is realized; and inaccurate measurements caused by signal interferences are greatly reduced.
Description
Technical field
The invention belongs to sensor signal treatment technology, particularly a kind of Laser Modulation absorbs gas sensor signal preprocess method, is, before one carries out gas concentration calculating for TDLAS method of testing, to carry out Signal Pretreatment algorithm.
Background technology
TDLAS technology is gas sensing techniques of new generation, and the gas sensor that this technology is made easily receives various signal disturbing under low concentration, high concentration, affects evaluation during meter gaseous, and then affects gas sensing test concentrations.
Summary of the invention
The object of the invention is to propose a kind of Laser Modulation and absorb gas sensor signal preprocess method, before one carries out gas concentration calculating for TDLAS method of testing, carry out Signal Pretreatment algorithm, according to repeatedly testing, find out noise behavior under low concentration, adopt first order derivative, form automatic threshold, remove according to the jump signal that noise causes by threshold value; In higher concentrations, find out out typical curve, carry out related algorithm by typical curve and collection signal curve, according to automatic threshold method, the signal disturbing caused by the various noise such as comprise curve sudden change, noise is large is removed.
To achieve these goals, technical scheme of the present invention is:
A kind of Laser Modulation absorbs gas sensor signal preprocess method, and the sensor analog signals of collection is converted to digital signal, and its method is:
Digital signal is preserved in one dimension fixed length array mode;
Block optical path signal to the array of preserving according to the threshold value of setting to delete, calculate preliminary concentration after the numeral lower than threshold value being removed, distinguish high concentration signal and low concentration signal;
When for carrying out low concentration signal noise removal process during low concentration signal; When for carrying out high concentration signal noise removal process during high concentration signal;
Signal after noise removal process is sent into subsequent processing steps, and pre-service completes.
Scheme is further: described differentiation high concentration signal and low concentration signal are: preliminary concentration is high concentration signal higher than 1500ppmV unit, is then low concentration signal lower than this value.
Scheme is further: described fixed length array is the array of continuous 100 points, and it is 12 that the A/D that described simulating signal is converted to digital signal changes figure place, and described threshold value is 10.
Scheme is further: the method for described low concentration signal noise removal process is:
First judge whether to there is spike, if there is not spike, then do not carry out process and continue subsequent processing steps; If there is spike, then value original signal being gathered the previous point in multiple maximum positions of array sort substitutes this point value; Then find this array maximum point position, if maximum point position is in the centre position of array, then continue subsequent processing steps; If maximum point position is not or not centre position, then this array exists abnormal, deletes this array;
The method of described high concentration signal noise removal process is:
First high concentration signal and typical curve are carried out related algorithm and draw the curve after related algorithm, if a minor peaks appears in the curve after related algorithm, and peak value is in the centre position of curve; Or repeatedly peak value appears in curve, and repeatedly the interpeak of peak value is in the centre position of curve, then for normally to continue subsequent processing steps; Otherwise delete this array;
Described multiple point is always count 5% to 10%;
Described typical curve is in advance according to the curve that ideal data makes;
Describedly judge whether that the method that there is spike is: if fixed length array is the array of continuous 100 points, continuous 100 some low concentration signals are adopted to the mode of first order derivative, obtain the first order derivative array of one-dimension array, the length of array is 99 points, 10 points that this array is maximum after getting its numerical ordering, then calculate the remaining mean value of 89 points and 10 some mean values of maximum point; , when maximum 10 cell means of counting are higher than remaining 89 some mean values more than 8 times, then there is " spike ", otherwise there is not spike in mean value size relatively.
The invention has the beneficial effects as follows: by this method, for different interference types, propose respective preprocess method respectively, achieve the pre-service after low concentration, high concentration signal sensing, significantly reduce the measurement that causes of signal disturbing inaccurate.
Below in conjunction with drawings and Examples, invention is described in detail.
Accompanying drawing explanation
Fig. 1 is low concentration abnormal signal curve;
Fig. 2 is the signal curve after process;
Fig. 3 be high concentration signal be correlated with use contrast standard curve;
Fig. 4 is a kind of abnormal signal under high concentration;
Fig. 5 is to Fig. 4 signal result after relevant treatment;
Fig. 6 is another kind of abnormal signal under high concentration;
Fig. 7 is to Fig. 6 signal result after relevant treatment.
Embodiment
A kind of Laser Modulation absorbs gas sensor signal preprocess method, and the sensor analog signals of collection is converted to digital signal, and its method is:
Digital signal is preserved in one dimension fixed length array mode;
Block optical path signal to the array of preserving according to the threshold value of setting to delete, calculate preliminary concentration after the numeral lower than threshold value being removed, distinguish high concentration signal and low concentration signal;
When for carrying out low concentration signal noise removal process during low concentration signal; When for carrying out high concentration signal noise removal process during high concentration signal;
Signal after noise removal process is sent into subsequent processing steps, and pre-service completes.
In embodiment: described differentiation high concentration signal and low concentration signal are: preliminary concentration is high concentration signal higher than 1500ppmV unit, is then low concentration signal lower than this value.
Scheme is further: described fixed length array is the array of continuous 100 points, and it is 12 that the A/D that described simulating signal is converted to digital signal changes figure place, and described threshold value is 10.
In embodiment: the method for described low concentration signal noise removal process is:
First judge whether to there is spike, if there is not spike, then do not carry out process and continue subsequent processing steps; If there is spike, then value original signal being gathered the previous point in multiple maximum positions of array sort substitutes this point value; Then find this array maximum point position, if maximum point position is in the centre position of array, then continue subsequent processing steps; If maximum point position is not or not centre position, then this array exists abnormal, deletes this array;
The method of described high concentration signal noise removal process is:
First the curve formed by high concentration signal and typical curve compare, the curve after adopting related algorithm to draw related algorithm, if a minor peaks appears in the curve after related algorithm, and peak value is in the centre position of curve; Or repeatedly peak value appears in curve, and repeatedly the interpeak of peak value is in the centre position of curve, then for normally to continue subsequent processing steps; Otherwise delete this array;
Described multiple point is always count 5% to 10%, and in the present embodiment when fixed length array is the array of continuous 100 points, described multiple clicking is selected as 10 points;
Described typical curve is in advance according to the curve that ideal data makes;
Describedly judge whether that the method that there is spike is: if fixed length array is the array of continuous 100 points, continuous 100 some low concentration signals are adopted to the mode of first order derivative, obtain the first order derivative array of one-dimension array, the length of array is 99 points, 10 points that this array is maximum after getting its numerical ordering, then calculate the remaining mean value of 89 points and 10 some mean values of maximum point; , when maximum 10 cell means of counting are higher than remaining 89 some mean values more than 8 times, then there is " spike ", otherwise there is not spike in mean value size relatively.
Fig. 1 to Fig. 7 illustrates different experiment curv and different results.
The present embodiment signal by TDLAS technology opto-electronic conversion, and is transformed into digital signal by the A/D signal of ARM, is below further illustrate this method by concrete data:
Signal through collecting is preserved in one dimension fixed length array mode, and length is generally 100 points.Signal magnitude corresponding A/D gathers, and the A/D figure place of ARM is 12, then signal correspondence 0 ~ 4096.
First carry out judging whether that TDLAS signal probe light path is blocked by foreign matter, numerical values recited comparison is carried out to one-dimensional data, according to test experience, when blocking light path, that 12 signal amplitudes are generally lower than 10 for figure place, normal signal then there will not be this signal amplitude, and after being therefore less than the numerical value appearance of 10 in one-dimension array, this time collection signal is directly deleted.
If be not less than the signal of 10 amplitudes, then its concentration of primary Calculation, when gas concentration is higher than 1500ppmV unit, being then high concentration signal, is then low concentration signal lower than this value.
Low concentration signal process:
The noise that low concentration signal often occurs is under low concentration, and gas flow rates is too fast, " spike " appears in the uneven signal curve caused of Gas concentration distribution, and " spike " amplitude far exceedes signal amplitude, therefore needs to carry out noise remove to it.
Adopt the mode of first order derivative, when array length is generally 100 points, the first order derivative array length obtaining one-dimension array is 99 points, 10 points that this array is maximum after getting its numerical ordering, then calculates the mean value of remaining 89 points; 10 maximum same calculating mean values of point; Mean value size relatively, after tested, when there is interference noise, kurtosis is generally higher than signal more than 10 times, when maximum 10 cell means of counting are higher than remaining 89 some mean values more than 8 times, then existence " spike " is described, if anti regular illustrates to there is not spike, without the need to pre-service, then signal continues subsequent calculations.For sampled data, the formula that differentiate formula can be reduced to is:
Wherein: n >=1, x (n) represents the discrete data array gathered, and n represents the number of data in array, and such as, from 1 to 99, y (n) represents the array after differentiate.
If there is spike, gather array at original signal and then adopt array sort maximum 10 previous values in some position to substitute this position numerical value.Then signal peaks is removed.
Then find this array maximum position, it is peak, if peak is between 50 ~ 60, then this signal no problem, continues signal subsequent calculations;
If peak exceeds this part, illustrate that laser absorption peak is not in central area, departing from appears in the temperature control of surface laser device, then these data exist abnormal, then this signal is deleted.
High concentration signal process:
The noise that high concentration signal often occurs is that absorption peak departs from center, or curve distorts, and this distortion is generally that the generation anomalous refraction of sensor probe light path or receiving position depart from.
First high concentration signal and typical curve are carried out cross correlation algorithm, typical curve extracts normal signal in test, and the normalized curve will obtained after it filtering process.Carry out related algorithm with it, the curve after related algorithm can be drawn.
Typical curve is at 20 DEG C, in 50%RH situation, uses humidity device1 by environment set under this condition, utilizes TDLAS sensor to carry out data acquisition, after gathering 100 times, carry out data on average and filtering obtain canonical function.
The formula of related algorithm:
Wherein: Xn represents the array of canonical function, y (m) represents the data array after gathering, and n represents the number of the data of canonical function in array, and m represents the number of the data after collection again in array.
If the signal curve gathered is normal, then this related algorithm only obtains peak value in central area; If various distortion occurs curve, then after related algorithm, the multiple situation such as there will be multiple small leak, central peak departs from.
After related algorithm, in related algorithm one-dimension array, carry out peak-seeking algorithm, namely judge data maximums, this peak of curve position will be obtained, judge then to illustrate that in central area signal is normal, if do not exist, specification exception, this signal is deleted; Meanwhile, adopt first order derivative in conjunction with second derivative mode, mark out each peak in cross correlation algorithm, if only there is a main peak, illustrate that signal is normal, be greater than 1 small peak, then abnormal signal be described if occur, this signal is deleted.
Matlab algorithm, first order derivative judges the position at multiple peak in conjunction with second derivative
t=1:length(n);
%t1=0:length(n)-1;
Lmin=diff(sign(diff(n)))==2;%logicvectorforthelocalminvalue
Lmin=[false;Lmin;false];
tmin=t(Lmin);%locationsofthelocalminelements
vmin=n(Lmin);%valuesofthelocalminelements
After Signal Pretreatment, can determine that whether signal is abnormal, abnormal signal is deleted, and normal signal or signal after treatment continue next step and calculate.
Claims (4)
1. Laser Modulation absorbs gas sensor signal preprocess method, the sensor analog signals of collection is converted to digital signal, it is characterized in that:
Digital signal is preserved in one dimension fixed length array mode;
Block optical path signal to the array of preserving according to the threshold value of setting to delete, calculate preliminary concentration after the numeral lower than threshold value being removed, distinguish high concentration signal and low concentration signal;
When for carrying out low concentration signal noise removal process during low concentration signal; When for carrying out high concentration signal noise removal process during high concentration signal;
Signal after noise removal process is sent into subsequent processing steps, and pre-service completes.
2. preprocess method according to claim 1, is characterized in that, described differentiation high concentration signal and low concentration signal are: preliminary concentration is high concentration signal higher than 1500ppmV unit, is then low concentration signal lower than this value.
3. preprocess method according to claim 1 and 2, is characterized in that, described fixed length array is the array of continuous 100 points, and the A/D conversion figure place that described simulating signal is converted to digital signal is 12, and described threshold value is 10.
4. preprocess method according to claim 3, is characterized in that,
The method of described low concentration signal noise removal process is:
First judge whether to there is spike, if there is not spike, then do not carry out process and continue subsequent processing steps; If there is spike, then value original signal being gathered the previous point in multiple maximum positions of array sort substitutes this point value; Then find this array maximum point position, if maximum point position is in the centre position of array, then continue subsequent processing steps; If maximum point position is not or not centre position, then this array exists abnormal, deletes this array;
The method of described high concentration signal noise removal process is:
First high concentration signal and typical curve are carried out related algorithm and draw the curve after related algorithm, if a minor peaks appears in the curve after related algorithm, and peak value is in the centre position of curve; Or repeatedly peak value appears in curve, and repeatedly the interpeak of peak value is in the centre position of curve, then for normally to continue subsequent processing steps; Otherwise delete this array;
Described multiple point is always count 5% to 10%;
Described typical curve is in advance according to the curve that ideal data makes;
Describedly judge whether that the method that there is spike is: if fixed length array is the array of continuous 100 points, continuous 100 some low concentration signals are adopted to the mode of first order derivative, obtain the first order derivative array of one-dimension array, the length of array is 99 points, 10 points that this array is maximum after getting its numerical ordering, then calculate the remaining mean value of 89 points and 10 some mean values of maximum point; , when maximum 10 cell means of counting are higher than remaining 89 some mean values more than 8 times, then there is " spike ", otherwise there is not spike in mean value size relatively.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011242222A (en) * | 2010-05-17 | 2011-12-01 | Shimadzu Corp | Gas concentration measuring apparatus |
| CN102706834A (en) * | 2012-02-17 | 2012-10-03 | 重庆同博测控仪器有限公司 | Gas concentration value over-limit detection method for optical interference gas detection device |
| CN103090886A (en) * | 2011-10-31 | 2013-05-08 | 深圳迈瑞生物医疗电子股份有限公司 | Denoising method and denoising device for optical signal |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011242222A (en) * | 2010-05-17 | 2011-12-01 | Shimadzu Corp | Gas concentration measuring apparatus |
| CN103090886A (en) * | 2011-10-31 | 2013-05-08 | 深圳迈瑞生物医疗电子股份有限公司 | Denoising method and denoising device for optical signal |
| CN102706834A (en) * | 2012-02-17 | 2012-10-03 | 重庆同博测控仪器有限公司 | Gas concentration value over-limit detection method for optical interference gas detection device |
Non-Patent Citations (1)
| Title |
|---|
| 王金明 等: "基于TDLAS技术的低浓度CO检测系统设计", 《仪表技术与传感器》 * |
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Denomination of invention: Laser modulation absorption gas sensor signal pretreatment method Effective date of registration: 20191111 Granted publication date: 20181106 Pledgee: Beijing Yizhuang International Financing Guarantee Co.,Ltd. Pledgor: BEIJING AEROSPACE YILIAN SCIENCE AND TECHNOLOGY DEVELOPMENT Co.,Ltd. Registration number: Y2019990000503 |
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Denomination of invention: Signal preprocessing method for laser modulated absorption gas sensors Effective date of registration: 20230519 Granted publication date: 20181106 Pledgee: CHINA ACADEMY OF AEROSPACE AERODYNAMICS Pledgor: BEIJING AEROSPACE YILIAN SCIENCE AND TECHNOLOGY DEVELOPMENT Co.,Ltd. Registration number: Y2023980041196 |
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Address after: Building 24, 18th Courtyard, Kechuang 13th Street, Beijing Economic and Technological Development Zone, Daxing District, Beijing, 100176 Patentee after: Beijing Aerospace Tianhong Intelligent Equipment Technology Co.,Ltd. Address before: Building 24, yard 18, Kechuang 13th Street, Daxing Economic and Technological Development Zone, Beijing 100176 Patentee before: BEIJING AEROSPACE YILIAN SCIENCE AND TECHNOLOGY DEVELOPMENT Co.,Ltd. |
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Denomination of invention: Signal preprocessing method for laser modulation absorption gas sensors Granted publication date: 20181106 Pledgee: CHINA ACADEMY OF AEROSPACE AERODYNAMICS Pledgor: Beijing Aerospace Tianhong Intelligent Equipment Technology Co.,Ltd. Registration number: Y2024990000150 |