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Proceedings Paper

Remote detection of carbon monoxide by FTIR for simulating field detection in industrial process
Author(s): Qiankun Gao; Wenqing Liu; Yujun Zhang; Mingguang Gao; Liang Xu; Xiangxian Li; Ling Jin
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Paper Abstract

In order to monitor carbon monoxide in industrial production, we developed a passive gas radiation measurement system based on Fourier transform infrared spectroscopy and carried out infrared radiation measurement experiment of carbon monoxide detection in simulated industrial production environment by this system. The principle, condition, device and data processing method of the experiment are introduced in this paper. In order to solve the problem of light path jitter in the actual industrial field, we simulated the noise in the industrial environment. We combine the advantages of MATHEMATICA software in the aspects of graph processing and symbolic computation to data processing to improve the signal noise ratio and noise suppression. Based on the HITRAN database, the nonlinear least square fitting method was used to calculate the concentration of the CO spectra before and after the data processing. By comparing the calculated concentration, the data processed by MATHEMATICA is reliable and necessary in the industrial production environment.

Paper Details

Date Published: 26 October 2016
PDF: 9 pages
Proc. SPIE 10156, Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology, 101561G (26 October 2016); doi: 10.1117/12.2247072
Show Author Affiliations
Qiankun Gao, Anhui Institute of Optics and Fine Mechanics (China)
Univ. of Science and Technology of China (China)
Wenqing Liu, Anhui Institute of Optics and Fine Mechanics (China)
Yujun Zhang, Anhui Institute of Optics and Fine Mechanics (China)
Mingguang Gao, Anhui Institute of Optics and Fine Mechanics (China)
Liang Xu, Anhui Institute of Optics and Fine Mechanics (China)
Xiangxian Li, Anhui Institute of Optics and Fine Mechanics (China)
Ling Jin, Anhui Institute of Optics and Fine Mechanics (China)


Published in SPIE Proceedings Vol. 10156:
Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology

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