CN114791419A - Automatic correction method for concentration measurement value of gas sensor - Google Patents
Automatic correction method for concentration measurement value of gas sensor Download PDFInfo
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- CN114791419A CN114791419A CN202110091931.7A CN202110091931A CN114791419A CN 114791419 A CN114791419 A CN 114791419A CN 202110091931 A CN202110091931 A CN 202110091931A CN 114791419 A CN114791419 A CN 114791419A
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- 238000005259 measurement Methods 0.000 title claims abstract description 22
- 238000012937 correction Methods 0.000 title claims abstract description 14
- 238000000034 method Methods 0.000 title claims abstract description 13
- 238000011156 evaluation Methods 0.000 claims abstract 3
- 238000010998 test method Methods 0.000 claims abstract 3
- 230000002159 abnormal effect Effects 0.000 claims 3
- 238000010606 normalization Methods 0.000 claims 1
- 230000009466 transformation Effects 0.000 claims 1
- 238000009434 installation Methods 0.000 abstract description 3
- 230000007774 longterm Effects 0.000 abstract description 3
- 230000032683 aging Effects 0.000 abstract description 2
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- 238000012544 monitoring process Methods 0.000 abstract description 2
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3504—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing gases, e.g. multi-gas analysis
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0006—Calibrating gas analysers
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Abstract
The invention provides an automatic correction method of a concentration measurement value of a gas sensor, which is used for automatically correcting the concentration measurement value deviation caused by factors such as transportation vibration, installation operation and component aging after long-term use of the sensor without manual intervention and correction. The method comprises the steps of periodically observing gas concentration measurement values in set time, calculating the mean value and the standard deviation of the measurement values in each period, obtaining the minimum measurement value in the set time by taking the minimum Euclidean distance as an evaluation standard after linear planning and combining a Grabbs test method, and then comparing the minimum measurement value with a gas concentration default value in an atmosphere stable environment to further obtain a correction value. The method is different from a correction method based on trend judgment and prediction, but directly and accurately calculates the minimum correction value, has good stability, can effectively eliminate misjudgment caused by fluctuation or partial abnormity of observation data, and completes accurate and automatic correction of the concentration measurement value of the gas sensor on the premise of not increasing the design complexity of the sensor, monitoring equipment and manual intervention.
Description
Technical Field
The invention relates to an automatic correction method for concentration measurement value deviation of a gas sensor, which is created by the company due to factors such as transportation vibration, installation operation and component aging after long-term use.
Background
The company develops and produces a gas sensor, which is hereinafter referred to as a sensor for short, and a measurement target gas is referred to as a gas A for short.
The sensor uses the principle of non-dispersive infrared to measure the concentration level of gas a in the target environment. The infrared light source emits into the gas sampling cavity, the gas absorbs infrared light with specific wavelength, the infrared detector detects the infrared signal after absorption and transmits the infrared signal to the microcontroller, and the microcontroller identifies the signal to calculate the concentration level.
Disclosure of Invention
After transportation vibration, installation operation and long-term use, the sensor deviates from a factory-leaving state, namely, measured values deviate in the same gas concentration level.
The method is different from a correction method based on trend judgment and prediction, but directly and accurately calculates the minimum correction value, has good stability, can effectively eliminate misjudgment caused by fluctuation or partial abnormity of observation data, and completes accurate and automatic correction of the concentration measurement value of the gas sensor on the premise of not increasing the design complexity of the sensor, monitoring equipment and manual intervention.
Drawings
Fig. 1 is a functional block diagram explaining the algorithm function.
Fig. 2 is a data processing flow chart explaining the processing flow of the algorithm.
Claims (4)
1. A method for automatically correcting a concentration measured value of a gas sensor comprises the following steps: step 1, taking k gas concentration measurement values every T period, taking m sections of data within 24 hours a day, and recording the data sets as follows: c ═ C i ]＝[C 1 ，C 2 ，C 3 ...，C m ]，i＝1,2,3...m C i ＝[C ij ]＝[C i1 ，C i2 ，C i3 ...，C ik ]Step 2. calculate the mean and standard deviation of the m pieces of data, and record the array as: (u, sigma) ═ u [ (u) i ，σ i )]＝[(u 1 ，σ 1 )，(u 2 ，σ 2 )，(u 3 ，σ 3 )，...，(u m ，σ m )]Step 3, establishing a minimum Euclidean distance evaluation standard, and searching characteristic parameters (u, sigma) to a linear planning area after linear planningThe sum of the distances of each given edge of the domain is the minimum value, and then the data C corresponding to the minimum value is searched t (t e m), the minimum value of concentration measurements in a day; and 4, repeating the steps 1-3, completing the measurement for N days, obtaining N minimum measurement values, and recording an array as follows: c N ＝[C tl ]＝[C t1 ，C t2 ，...，C tN ]N combines the grabbs test method to eliminate abnormal data under a set confidence coefficient, and a minimum measured value C within N days is obtained N_nmin (ii) a Step 5, gas concentration default value C in atmosphere stable environment ref And then, the correction value is:
the corrected concentration measurement value is a real-time measurement value plus a correction value and is recorded as:
2. the method of claim 1, wherein step 2 further comprises:
step 2-1, calculating the average value of the ith section in the m sections of data:
step 2-2, calculating the standard deviation of the ith section in the m sections of data:
3. the method of claim 1, wherein the step 3 further comprises:
step 3-1, finding out the minimum value of the mean value in the array (u, sigma)
u min ＝min{u i ，i＝1,2,3...，m}
Setting u min Corresponding to the x-th section in the m-section data, obtaining an observation sample with the minimum mean value (u) min ，σ x )；
Step 3-2, finding out the minimum value of the standard deviation of the array (u, sigma):
σ min ＝min{σ i ，i＝1,2,3...，m}
setting sigma min Corresponding to the y-th section of the m sections of data, the observation sample with the minimum standard deviation (u) is obtained y ，σ min )；
Step 3-3, carrying out normalization and coordinate transformation on the array (u, sigma)
U＝u/u min -1
V＝σ/σ min -1
The transformed array (U, σ) is denoted as (U, V), and the observed samples in steps 3-1 and 3-2 are denoted as: (0, V) x )，(U y ，0)。
Step 3-4, coordinate system in the following figure, from (0, 0), (0, V) x )，(U y 0) three points constitute a linear programming region, and any element (U) in the array (U, V) i ，V i ) The sum of the distances to each side of the linear programming region is
D i ＝d 1_i +d 2_i +d 3_i . Searching for D according to the minimum Euclidean distance evaluation criterion i Minimum value of (2)
D min ＝min{D i ，i＝1,2，...，m}
Step 3-5, setting D min Corresponding to the z-th segment in the m-segment data, the mean value u z I.e. the minimum value in the m concentration measurements during the day.
4. The method for automatically correcting the concentration measurement value of the gas sensor according to claim 1, wherein the step 4 further comprises:
step 4-1, repeating the steps 1 to 3, completing the measurement for N days, obtaining N minimum measurement values, and recording an array as follows:
C N ＝[C tl ]＝[C t1 ，C t2 ，...，C tN ]，l＝1,2,3...，N
step 4-2, combining the Grabbs test method to calculate the array [ C t1 ，C t2 ，...，C tN ]Mean value of C N_mean Abandoning larger than mean value C N_mean The remaining M elements are recombined and sorted according to a rule from small to large. Is recorded as:
C M ＝[C′ t1 ，C′ t2 ...，C′ tM ]and C' t1 ＜C′ t2 ＜…＜C′ tM
Step 4-3, calculating C M Standard deviation of C M_std And a median value C M_mid And obtaining the residual error of the maximum value and the minimum value:
C M_max_RMR ＝C′ tM -C M_mid
C M_min_RMR ＝C′ t1 -C M_mid
the larger residual is defined as a suspicious outlier:
SUS＝max(C M_max_RMR ，C M_min_RMR )
step 4-4, calculating a critical value of the suspicious abnormal value according to a formula:
G sus ＝SUS/C M_std
step 4-5, according to C M The number M of elements, search the critical value G corresponding to the Grabbs critical value table 95 Judgment G sus Whether or not greater than G 95 If yes, the suspected outliers are discarded.
Repeating the steps 4-1 to 4-5, eliminating all abnormal values, and finally obtaining the minimum measured value C within N days N_min 。
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110091931.7A CN114791419A (en) | 2021-01-23 | 2021-01-23 | Automatic correction method for concentration measurement value of gas sensor |
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| CN202110091931.7A CN114791419A (en) | 2021-01-23 | 2021-01-23 | Automatic correction method for concentration measurement value of gas sensor |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116380980A (en) * | 2023-04-10 | 2023-07-04 | 哲弗智能系统（上海）有限公司 | Method and device for determining gas concentration, electronic equipment and medium |
| CN118310983A (en) * | 2024-06-11 | 2024-07-09 | 武汉天虹环保产业股份有限公司 | Gas concentration detection method and system |
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2021
- 2021-01-23 CN CN202110091931.7A patent/CN114791419A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116380980A (en) * | 2023-04-10 | 2023-07-04 | 哲弗智能系统（上海）有限公司 | Method and device for determining gas concentration, electronic equipment and medium |
| CN118310983A (en) * | 2024-06-11 | 2024-07-09 | 武汉天虹环保产业股份有限公司 | Gas concentration detection method and system |
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