|
|
|
|
|
|
| Based on TDLAS Technology Gas Concentration Calibration Algorithm for a Large Range |
| JU Yu1，CHEN Hao2, 3，HAN Li2，CHANG Yang1, ZHANG Xue-jian1 |
1. Beijing Aerospace Yilian Science and Technology Development Company, Beijing 100176, China
2. Institute of Electrical Engineering Chinese Academy of Sciences, Beijing 100190, China
3. University of Chinese Academy of Sciences, Beijing 100049, China |
|
|
|
|
Abstract Gas concentration detection has always been a very important task. It is closely related to human life, environmental changes and industrial production, especially the detection of toxic and harmful gases. With the development of spectroscopy, tunable diode laser absorption spectroscopy (TDLAS) has been widely used in industrial production, environmental monitoring, meteorological sounding, etc. TDLAS has the advantages of high sensitivity, fast response, real-time monitoring and excellent portability which makes it become one of the important technologies for gas detection. It is well known that any sensor needs to be calibrated. The result of the calibration is related to the measurement accuracy of the sensor. In this paper, the direct spectral calibration algorithm based on TDLAS technology is studied. The relationship between gas concentration and transmittance logarithm in a large range is deduced and simplified. For fitting calibration 1/c fitting calibration algorithm using the relationship between gas concentration reciprocal and transmittance logarithm reciprocal is proposed. The relationship between gas concentration and transmittance logarithm is reversed by fitting the calibration curve. In the experiment, TLDAS water vapor detection platform was built. The water vapor concentration of the Vaisala HMT377 online humidity detector was used as the standard value. The water vapor concentration of 0.7%~50% was calibrated. The direct fitting algorithm and the 1/c fitting algorithm were compared. The experimental results show that the direct fitting algorithm is used to fit gas concentration to transmittance logarithm curve. The correlation coefficients of the primary function, quadratic function and quintic function are 0.946 8, 0.996 7 and 0.999 9, and the root means square error is 0.031 2, 0.007 8 and 0.001 6, the maximum relative error exceeds 100%. While utilizing the 1/c fitting calibration algorithm, the fitting curve of the relationship between gas concentration reciprocal and transmittance logarithm reciprocal is a linear function, which is consistent with the theory. The correlation coefficient is 0.999 6, and the root means square error is 0.490 1. After inverting the fitting curve, the fitting curve of gas concentration and transmittance logarithm is obtained. The correlation coefficient was 0.999 9, the root mean square error was 0.001 5, and the maximum relative error in the whole concentration range was less than 4%. The results show that the 1/c fitting algorithm is very effective. It improves measurement accuracy and expands the calibration range.
|
|
Received: 2019-10-28
Accepted: 2020-02-16
|
|
|
|
[1] JIA Liang-quan, LIU Wen-qing, KAN Rui-feng, et al(贾良权，刘文清，阚瑞峰，等). Chinese Journal of Lasers（中国激光）, 2015, 42(7): 312.
[2] LIU Li-fu, ZHANG Han, WEN Zuo-le，et al（刘立富, 张 涵, 温作乐, 等）. Laser & Optoelectronics Progress(激光与光电子进展), 2015，52(11)：50.
[3] CHEN Hao, JU Yu, HAN Li（陈 昊, 鞠 昱, 韩 立）. Spectroscopy and Spectral Analysis（光谱学与光谱分析）, 2018, 38(6): 16.
[4] Zhang G Y, Wang G Q, Huang Y, et al. Optik, 2018, 170: 166.
[5] Jiang J, Zhao M, Ma G M, et al. IEEE Sensors Journal, 2018, (99): 1.
[6] JIA Jun-wei, LI Wei, CHAI Hao, et al(贾军伟，李 伟，柴 昊，等). Infrared and Laser Engineering(红外与激光工程)，2019，48(5)：202.
[7] ZHANG Zhi-rong, DONG Feng-zhong, WU Bian, et al(张志荣，董凤忠，吴 边，等). Journal of Optoelectronics·Laser(光电子·激光)，2011，22(11)：1691.
[8] HU Ya-jun，ZHAO Xue-hong，ZHANG Rui，et al（胡雅君，赵学红，张 锐，等）. Acta Opitca Sinica（光学学报），2013，(11)：296.
[9] Reid J，EI-Sherbiny M，Garside B K. Appl. Optica Acta，1980，(3)：575.
[10] Sur R, Sun K, Jeffries J B, et al. Applied Physics B, 2014, 116(1): 33. |
| [1] |
XU Qiu-yi1, 3, 4, ZHU Wen-yue3, 4, CHEN Jie2, 3, 4, LIU Qiang3, 4 *, ZHENG Jian-jie3, 4, YANG Tao2, 3, 4, YANG Teng-fei2, 3, 4. Calibration Method of Aerosol Absorption Coefficient Based on
Photoacoustic Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 88-94. |
| [2] |
ZENG Si-xian1, REN Xin1, HE Hao-xuan1, NIE Wei1, 2*. Influence Analysis of Spectral Line-Shape Models on Spectral Diagnoses Under High-Temperature Conditions[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2715-2721. |
| [3] |
PENG Wei, YANG Sheng-wei, HE Tian-bo, YU Ben-li, LI Jin-song, CHENG Zhen-biao, ZHOU Sheng*, JIANG Tong-tong*. Detection of Water Vapor Concentration in Sealed Medicine Bottles Based on Digital Quadrature Phase-Locked Demodulation Algorithm and TDLAS
Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 698-704. |
| [4] |
ZHANG Le-wen1, 2, WANG Qian-jin1, 3, SUN Peng-shuai1, PANG Tao1, WU Bian1, XIA Hua1, ZHANG Zhi-rong1, 3, 4, 5*. Analysis of Interference Factors and Study of Temperature Correction Method in Gas Detection by Laser Absorption Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 767-773. |
| [5] |
WANG Yi-hong, ZHOU Bin*, ZHAO Rong, WANG Bu-bin. Calibration-Free Wavelength Modulation Spectroscopy for Gas Properties Measuring Basedon 2nd and 4th Harmonics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 368-373. |
| [6] |
ZHANG Bo-han, YANG Jun, HUANG Qian-kun, XIE Xing-juan. Research on Gas Pressure Measurement Method Based on Absorption Spectroscopy and Laser Interference Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3692-3696. |
| [7] |
YANG Hua-dong1, 2, ZHU Hao1, 2, WANG Zi-chao1, 2, LIU Zhi-ang1, 2. Research on On-Line Monitoring Technology of Water Sediment
Concentration Based on Transmission Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3817-3822. |
| [8] |
LONG Jiang-xiong1, 2, ZHANG Yu-jun1*, SHAO Li1*, YE Qing1, 2, HE Ying3, YOU Kun3, SUN Xiao-quan1, 2. Traceable Measurement of Optical Path Length of Gas Cell Based on Tunable Diode Laser Absorption Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3461-3466. |
| [9] |
LI Cong-cong1, LUO Qi-wu2, ZHANG Ying-ying1, 3*. Determination of Net Photosynthetic Rate of Plants Based on
Environmental Compensation Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1561-1566. |
| [10] |
CHEN Hao1, 2, JU Yu3，HAN Li1. Research on the Relationship Between Modulation Depth and Center of High Order Harmonic in TDLAS Wavelength Modulation Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(12): 3676-3681. |
| [11] |
CHEN Yang, DAI Jing-min*, WANG Zhen-tao, YANG Zong-ju. A Near-Infrared TDLAS Online Detection Device for Dissolved Gas in Transformer Oil[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(12): 3712-3716. |
| [12] |
ZHAO Yu-hui，LIU Xiao-dong，ZHANG Lei，LIU Yong-hong. Research on Calibration Transfer Method Based on Joint Feature Subspace Distribution Alignment[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3411-3417. |
| [13] |
WANG Guo-shui1, GUO Ao2, LIU Xiao-nan1, FENG Lei1, CHANG Peng-hao1, ZHANG Li-ming1, LIU Long1, YANG Xiao-tao1*. Simulation and Influencing Factors Analysis of Gas Detection System Based on TDLAS Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(10): 3262-3268. |
| [14] |
ZHAO Yu-hui, LU Peng-cheng, LUO Yu-bo, SHAN Peng. NIR Calibration Transfer Method Based on Minimizing Mean Distribution Discrepancy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(10): 3051-3057. |
| [15] |
WU Lu-yi, GAO Guang-zhen, LIU Xin, GAO Zhen-wei, ZHOU Xin, YU Xiong, CAI Ting-dong*. Study on the Calibration of Reflectivity of the Cavity Mirrors Used in Cavity Enhanced Absorption Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(09): 2945-2949. |
|
|
|
|
