|
|
|
|
|
|
Research of High Precision Photoacoustic Second Harmonic Detection Technology Based on FFT Filter |
WAN Liu-jie1, 2, ZHEN Chao3, QIU Zong-jia1, LI Kang1, MA Feng-xiang3, HAN Dong1, 2, ZHANG Guo-qiang1, 2* |
1. Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. Power Science Research Institute of State Grid Anhui Electric Power Co., Ltd., Hefei 230061, China |
|
|
Abstract Photoacoustic spectrum(PAS) gas detection technology based on wavelength modulated spectrum signal second harmonic component detection has been widely used in electric power, chemical and medical industry. Although the second harmonic component detection technology can effectively reduce the related noise in the photoacoustic signal, there is still non-correlation noise in the second harmonic signal, which affects the detection ability of the detection system to trace gas and the accuracy of the test results. In order to study how to weaken the influence of the non-correlated noise of the photoacoustic spectrum detection system on the second harmonic signal, improve the detection system of the limit of detection, improve the measurement accuracy, this paper built a set of with tunable distributed feedback (DFB) semiconductor laser is first longitudinal resonant photoacoustic spectrum of excitation light source gas detection system, first put forward using fast Fourier transform (FFT) to light the second harmonic signal filtering of the new method. Firstly, the sawtooth scanning signal frequency is optimized according to the noise spectrum of the gas photoacoustic spectrum detection system, so as to minimize the influence of background noise of the detection system on the optical acoustic detection signal. Then, the FFT filter is used to extract the fundamental wave component of the optical acoustic second harmonic signal of the same frequency as the scanning sawtooth wave. Although the amplitude of the extracted fundamental wave component is smaller than the maximum of the second harmonic component of the photoacoustic signal, the background noise of the photoacoustic detection system decreases more, so the purpose of improving the minimum detection limit of the photoacoustic detection system is realized. By analyzing and comparing the test results of C2H2/N2 mixed gas with the concentrations of 102, 75.1, 50, 30.3, 15.3, 7.7, 1, 0.79, 0.57, 0.35 and 0.17 μL·L-1, the test results are very stable after FFT is used to filter the photoacoustic second harmonic signal. When the SNR was 3, the minimum detection limit of the system was reduced from 0.43 μL·L-1 to 0.030 6 μL·L-1. This shows that FFT filtering is very effective in eliminating the non-correlated noise in the second harmonic component of wavelength modulated spectral signal, which can improve the measurement accuracy and improve the minimum detection limit of the photoacoustic spectrum detection system. The research results in this paper can provide some references for the application of wavelength modulated spectrum signal second harmonic component detection technology.
|
Received: 2019-09-09
Accepted: 2020-01-20
|
|
Corresponding Authors:
ZHANG Guo-qiang
E-mail: zhanggqi@mail.iee.ac.cn
|
|
[1] ZHANG Xiao-xing,LI Xin,LIU Heng,et al(张晓星,李 新,刘 恒,等). Transactions of China Electrotechnical Society(电工技术学报),2016, 31(15):187.
[2] CHEN Ying,GAO Guang-zhen,CAI Ting-dong,et al(陈 颖,高光珍,蔡廷栋,等). Chinese Journal of Lasers(中国激光),2017, 44(5):0511001.
[3] ZHA Shen-long,LIU Kun,ZHU Gong-dong,et al(查申龙,刘 锟,朱公栋,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2017, 37(9):2673.
[4] CHEN Ke,YUAN Shuai,GONG Zhen-feng(陈 珂,袁 帅,宫振峰,等). Chinese Journal of Lasers(中国激光),2018, 45(9):0911012.
[5] Dang Hongtao,Ma Yufei,Liu Fuhua,et al. Journal of Russian Laser Research,2019, 40 (3):265.
[6] He Ying,Ma Yufei,Tong Yao,et al. Optics & Laser Technology,2019, 115: 129.
[7] Chen Ke,Yu Qingxu,Gong Zhenfeng,et al. Sensors and Actuators B: Chemical,2018,268: 205.
[8] Chen Ke,Zhang Bo,Liu Shuai,et al. Sensors and Actuators B: Chemical,2019, 283: 1.
[9] Zhang Qinduan,Chang Jun,Cong Zhenhua,et al. Optics and Laser Technology,2019,120:105751.
[10] Chen Ke, Gong Zhenfeng, Yu Qingxu. Sensors and Actuators A: Physical, 2018,274:184.
[11] Wynn C M, Palmacci S, Clark M L, et al. Optical Engineering, 2014, 53(2): 021103. |
[1] |
ZHENG Hong-quan, DAI Jing-min*. Research Development of the Application of Photoacoustic Spectroscopy in Measurement of Trace Gas Concentration[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 1-14. |
[2] |
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. |
[3] |
FU Wen-xiang, DONG Li-qiang, YANG Liu*. Research Progress on Detection of Chemical Warfare Agent Simulants and Toxic Gases by Photoacoustic Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3653-3658. |
[4] |
CHENG Gang1, CAO Ya-nan1, TIAN Xing1, CAO Yuan2, LIU Kun2. Simulation of Airflow Performance and Parameter Optimization of
Photoacoustic Cell Based on Orthogonal Test[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3899-3905. |
[5] |
CHEN Tu-nan1, 2, LI Kang1, QIU Zong-jia1, HAN Dong1, 2, ZHANG Guo-qiang1, 2*. Simulation Analysis and Experiment Verification of Insulating Material-Based Photoacoustic Cell[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2922-2927. |
[6] |
JIN Hua-wei1, 2, 3, WANG Hao-wei1, 2, LUO Ping1, 2, FANG Lei1, 2. Simulation Design and Performance Analysis of Two-Stage Buffer
Photoacoustic Cell[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2375-2380. |
[7] |
LIU Ting-ting1, SHEN Xu-ling1, REN Xin-yi1, WEN Zhao-yang1, YAN Ming1, 2, ZENG He-ping1, 2*. Decomposition Products Detection of Sulfur Hexafluoride Based on
Frequency Comb Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 927-932. |
[8] |
LI Zhen-gang1, 2, SI Gan-shang1, 2, NING Zhi-qiang1, 2, LIU Jia-xiang1, FANG Yong-hua1, 2*, CHENG Zhen1, 2, SI Bei-bei1, 2, YANG Chang-ping1, 2. Research on Long Optical Path and Resonant Carbon Dioxide Gas
Photoacoustic Sensor[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 43-49. |
[9] |
YANG Jin-chuan1, 2, AN Jing-long1, 2, LI Cong3, ZHU Wen-chao3*, HUANG Bang-dou4*, ZHANG Cheng4, 5, SHAO Tao4, 5. Study on Detecting Method of Toxic Agent Containing Phosphorus
(Simulation Agent) by Optical Emission Spectroscopy of
Atmospheric Pressure Low-Temperature Plasma[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1728-1734. |
[10] |
WANG Qi, WANG Shi-chao, LIU Tai-yu, CHEN Zi-qiang. Research Progress of Multi-Component Gas Detection by Photoacoustic Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 1-8. |
[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] |
HE Ya-xiong1, ZHOU Wen-qi1, KE Chuan2, XU Tao1*, ZHAO Yong1, 2. Review of Laser-Induced Breakdown Spectroscopy in Gas Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(09): 2681-2687. |
[13] |
CHEN Dong-yang1, ZHOU Li1*, YANG Fu-mo1, WANG Wei-gang2, GE Mao-fa2. Application Progress of Cavity-Enhanced Absorption Spectroscopy (CEAS) in Atmospheric Environment Research[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(09): 2688-2695. |
[14] |
REN Zhong1, 2*, LIU Tao1, LIU Guo-dong1, 2. Classification and Identification of Real or Fake Blood Based on OPO Pulsed Laser Induced Photoacoustic Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(09): 2734-2741. |
[15] |
CHEN Jie1, 2, 3, QIAN Xian-mei1, 3, LIU Qiang1, 3*, ZHENG Jian-jie1, 2, 3, ZHU Wen-yue1, 3, LI Xue-bin1, 3. Research on Optical Absorption Characteristics of Atmospheric Aerosols at 1 064 nm Wavelength[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(10): 2989-2995. |
|
|
|
|