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Proceedings Paper

Signal detection circuit design of HCN measurement system based on TDLAS
Author(s): Chungui He; Yujun Zhang; Chen Chen; Yibing Lu; Guohua Liu; Yanwei Gao; Kun You; Ying He; Kai Zhang; Wenqing Liu
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Paper Abstract

Hydrogen cyanide gas leakage may exist in the petrochemical industry, smelting plant, and other industrial processes, causing serious harm to the environment, and even threatening the safety of personnel. So the continuous detection of HCN gas plays an important role in the prevention of risk in production process and storage environment that existing hydrogen cyanide gas. The Tunable Diode Laser Technology (TDLAS) has advantages of non-contact, high sensitivity, high selectivity, and fast response time, etc., which is one of the ideal method of gas detection technologies and can be used to measure the hydrogen cyanide concentration. This paper studies the HCN detection system based on TDLAS technology, selects the absorption lines of hydrogen cyanide in 6539.12cm-1, and utilizes the center wavelength of 1.529μm distributed feedback (DFB) laser as a light source. It is discussed in detail on technical requirements of a high frequency modulated laser signal detection circuit, including noise level, gain, and bandwidth. Based on the above theory, the high frequency modulation preamplifier circuit and main amplifier circuit are designed for InGaAs photoelectric detector. The designed circuits are calculation analyzed with corresponding formula and simulation analyzed based on the Multisim software.

Paper Details

Date Published: 25 October 2016
PDF: 8 pages
Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 1015710 (25 October 2016); doi: 10.1117/12.2245374
Show Author Affiliations
Chungui He, Anhui Institute of Optics and Fine Mechanics (China)
Univ. of Science and Technology of China (China)
Yujun Zhang, Anhui Institute of Optics and Fine Mechanics (China)
Chen Chen, Anhui Institute of Optics and Fine Mechanics (China)
Yibing Lu, Anhui Institute of Optics and Fine Mechanics (China)
Univ. of Science and Technology of China (China)
Guohua Liu, Anhui Institute of Optics and Fine Mechanics (China)
Univ. of Science and Technology of China (China)
Yanwei Gao, Anhui Institute of Optics and Fine Mechanics (China)
Kun You, Anhui Institute of Optics and Fine Mechanics (China)
Ying He, Anhui Institute of Optics and Fine Mechanics (China)
Kai Zhang, Anhui Institute of Optics and Fine Mechanics (China)
Wenqing Liu, Anhui Institute of Optics and Fine Mechanics (China)


Published in SPIE Proceedings Vol. 10157:
Infrared Technology and Applications, and Robot Sensing and Advanced Control

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