Acetylene Detection Based on Resonant High Sensitive Photoacoustic Spectroscopy
ZHA Shen-long1, 2, LIU Kun1, ZHU Gong-dong1, TAN Tu1, WANG Lei1, WANG Gui-shi1, MEI Jiao-xu1, GAO Xiao-ming1*
1. Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031,China
2. University of Science and Technology of China,Hefei 230031, China
Abstract:Acetylene is a kind of fault gases used to judge the operating state of transformer, and its concentration reflects the operation condition, so the detection of acetylene concentration has important significance in transformer maintenance. In order to detect acetylene concentration generated in the running process accurately to provide technical parameters for transformer maintenance, this paper has done a research based on the DFB laser photoacoustic spectroscopy for trace acetylene detection, which improves traditional photoacoustic spectroscopy detection system. The intensity of photoacoustic signal is proportional to the incident laser power based on photoacoustic theory, so in this paper a reflector was installed opposite the light-emitting window of the photoacoustic cell to reflect infrared light back to increase the power of incident light, which can enhance the intensity of photoacoustic signal and then further improve the detection sensitivity of the photoacoustic detection system. The photoacoustic spectroscopy detection system will have the optimal detection performance under the optimal modulation frequency and modulation depth, so in this paper the important parameters of optimal modulation frequency and modulation depth were studied. Through the intensity of photoacoustic signal of a certain concentration of acetylene gas under different modulation frequencies and modulation depths, the optimal modulation frequency and optimal modulation depth of the system were determined as 767 Hz and 0.3 mV. Before the detection of unknown concentration of acetylene gas, the photoacoustic detection system was calibrated by different concentrations of acetylene gas. The photoacoustic signal and gas concentrations were fitted by the least squares, which had a good linearity. The stability of the system was evaluated by Allan variance, which clearly showed that the system reached the minimum detection concentration using the average time of 200 s. The experiments show that the minimum detection limit of the system is 0.3 μL·L-1 under the atmospheric pressure with a integration time of 10ms. In this paper, the wavelet denoising technique was used for low concentration acetylene gas photoacoustic signal processing, which showed that the noise was effectively eliminated and the signal-to-noise ratio was improved. The resonant photoacoustic spectroscopy detection system designed in this paper has the advantage of easy operation and conforming the lowest detection concentration to the national standard in the detection of acetylene gas for transformer maintenance, which has a broad application prospect in the field of transformer maintenance.
Key words:Photoacoustic; Wavelet denosing; Gas detection; Sensitivity
查申龙,刘 锟,朱公栋,谈 图,汪 磊,王贵师,梅教旭,高晓明. 基于共振型高灵敏度光声光谱技术探测痕量乙炔气体浓度[J]. 光谱学与光谱分析, 2017, 37(09): 2673-2678.
ZHA Shen-long, LIU Kun, ZHU Gong-dong, TAN Tu, WANG Lei, WANG Gui-shi, MEI Jiao-xu, GAO Xiao-ming. Acetylene Detection Based on Resonant High Sensitive Photoacoustic Spectroscopy. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(09): 2673-2678.
[1] Bozóki Z, Pogany A, Szabo G. Applied Spectroscopy Reviews, 2011, 46(1): 1.
[2] Wynn C M, Palmacci S, Clark M L. Optical Engineering, 2014, 53(2): 021103.
[3] Wynn C M, Palmacci S, Clark M L. Applied Physics Letters, 2012, 101(18): 184103.
[4] Zheng H D, Yin X K, Dong L, et al. Journal of Spectroscopy, 2015, 2015: 218413.
[5] CHEN Jiu-ying, LIU Jian-guo,HE Jun-feng, et al(陈玖英,刘建国,何俊峰,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2014, 34(12): 3174.
[6] Koeth J, Fischer M, Legge M. Journal of Physics, 2010, 214(1): 012038.
[7] Lv G, Chang J, Wang Q. Photonic Sensors, 2014, 4(2): 113.
[8] YIN Xu-kun, ZHENG Hua-dan, DONG Lei, et al(尹旭坤,郑华丹,董 磊,等). Acta Phys. Sin.(物理学报), 2015, 64(13): 130701.
[9] Liu K, Yi H M, Kosterev A A, et al. Rev. Sci. Instrum., 2010,(81): 103103.
[10] ZHAO Jun-juan, ZHAO Zhan, DU Li-dong, et al (赵俊娟,赵 湛,杜利东,等). Chinese Journal of Sencors and Actuators(传感技术学报),2012, (3): 289.
[11] QIAN Xu, CHENG Ming-xiao, WANG Xue-hua,et al(钱 旭,程明霄,王雪花, 等). Transducer and Microsystem Technologies(传感器与微系统), 2014, 33(12): 98.
[12] Zhou Q, Tang C, Zhu S P, et al. Journal of Spectroscopy, 2015, 2015: 737635.
[13] YUN Yu-xin, CHEN Wei-gen, SUN Cai-xin, et al(云玉新,陈伟根,孙才新,等). Proceedings of the CSEE(中国电机工程学报),2008, 28(34): 40.
[14] ZHAO Hui-ling(赵惠玲). Industrial Instrumentation & Automation(工业仪表与自动化装置),2014, (3): 85.