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Proceedings Paper

High-resolution fiber carbon monoxide sensing system and its data processing
Author(s): Tingting Zhang; Yubin Wei; Yanfang Li; Yanjie Zhao; Tongyu Liu; Chang Wang
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Paper Abstract

Carbon monoxide is one of the important gases need to be detected in coal mine safety. Detection technology based on signature gas is the primary means of spontaneous combustion forecasting of coal goaf area. Because of the high accuracy requirement of CO concentration in the coal mining applications, we had to introduce more data processig methods to improve the signal-to-noise ratio (SNR), finally to achieve the requirements of coal mining. Therefore, we used three data processing methods to eliminate noises of the CO sensing system which based on the tunable diode laser absorption spectroscopy (TDLAS): Fourier transform, least-squares fitting and Kalman filter. The results show that the combination of three data processing methods had a good inhibitory effect of random noise and interference fringes, etc. and significantly improved the system detection accuracy, the minimum detectable spectral absorption rate could be increased by an order of magnitude. So this high-resolution fiber CO sensing system can better meet the needs of coal mine safety.

Paper Details

Date Published: 15 October 2013
PDF: 4 pages
Proc. SPIE 8924, Fourth Asia Pacific Optical Sensors Conference, 89240L (15 October 2013); doi: 10.1117/12.2031363
Show Author Affiliations
Tingting Zhang, Shandong Key Lab. of Optical Fiber Sensors (China)
Shandong Academy of Sciences (China)
Yubin Wei, Shandong Key Lab. of Optical Fiber Sensors (China)
Shandong Academy of Sciences (China)
Yanfang Li, Shandong Key Lab. of Optical Fiber Sensors (China)
Shandong Academy of Sciences (China)
Yanjie Zhao, Shandong Key Lab. of Optical Fiber Sensors (China)
Shandong Academy of Sciences (China)
Tongyu Liu, Shandong Key Lab. of Optical Fiber Sensors (China)
Shandong Academy of Sciences (China)
Chang Wang, Shandong Key Lab. of Optical Fiber Sensors (China)
Shandong Academy of Sciences (China)


Published in SPIE Proceedings Vol. 8924:
Fourth Asia Pacific Optical Sensors Conference
Minghong Yang; Dongning Wang; Yun-Jiang Rao, Editor(s)

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