High-resolution fiber carbon monoxide sensing system and its data processing

Tingting Zhang; Yubin Wei; Yanfang Li; Yanjie Zhao; Tongyu Liu; Chang Wang

doi:10.1117/12.2031363

15 October 2013 High-resolution fiber carbon monoxide sensing system and its data processing

Tingting Zhang, Yubin Wei, Yanfang Li, Yanjie Zhao, Tongyu Liu, Chang Wang

Proceedings Volume 8924, Fourth Asia Pacific Optical Sensors Conference; 89240L (2013) https://doi.org/10.1117/12.2031363
Event: Asia Pacific Optical Sensors Conference 2013, 2013, Wuhan, China

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.

Citation Download Citation

Tingting Zhang, Yubin Wei, Yanfang Li, Yanjie Zhao, Tongyu Liu, and Chang Wang "High-resolution fiber carbon monoxide sensing system and its data processing", Proc. SPIE 8924, Fourth Asia Pacific Optical Sensors Conference, 89240L (15 October 2013); https://doi.org/10.1117/12.2031363

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