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Proceedings Paper

Study on synchronous detection method of methane and ethane with laser absorption spectroscopy technology
Author(s): Ying He; Yu-jun Zhang; Kun You; Yan-wei Gao; Chen Chen; Jian-guo Liu; Wen-qing Liu
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Paper Abstract

The main ingredient of mash gas is alkenes, and methane is the most parts of mash gas and ethane is a small portion of it. Fast, accurate, real-time measurement of methane and ethane concentration is an important task for preventing coal mining disaster. In this research, a monitoring system with tunable diode laser absorption spectroscopy (TDLAS) technology has been set up for simultaneous measurement of methane and ethane, and a DFB laser at wavelength of 1.653μm was used as the laser source. The absorption spectroscopy information of methane and ethane, especially the characteristic of the spectrum peak positions and relative intensity were determined by available spectral structures from previous study and available database. Then, the concentration inversion algorithm method based on the spectral resolution and feature extraction was designed for methane and ethane synchronous detection. At last, the continuously experimental results obtained by different concentration of methane and ethane sample gases with the multiple reflection cell and the standard distribution system. In this experiment, the standard distribution system made with the standard gas and two high precision mass flow meters of D07 Sevenstar series whose flow velocity is 1l/min and 5l/min respectively. When the multiple reflection cell work stably, the biggest detection error of methane concentration inversion was 3.7%, and the biggest detection error of ethane was 4.8%. So it is verified that this concentration inversion algorithm works stably and reliably. Thus, this technology could realize the real-time, fast and continuous measurement requirement of mash gas and it will provide the effective technical support to coal mining production in safety for our country.

Paper Details

Date Published: 25 October 2016
PDF: 6 pages
Proc. SPIE 10156, Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology, 101560R (25 October 2016); doi: 10.1117/12.2246138
Show Author Affiliations
Ying He, Anhui Institute of Optics and Fine Mechanics (China)
Univ. of Science and Technology of China (China)
Yu-jun Zhang, Anhui Institute of Optics and Fine Mechanics (China)
Kun You, Anhui Institute of Optics and Fine Mechanics (China)
Yan-wei Gao, Anhui Institute of Optics and Fine Mechanics (China)
Chen Chen, Anhui Institute of Optics and Fine Mechanics (China)
Jian-guo Liu, Anhui Institute of Optics and Fine Mechanics (China)
Wen-qing Liu, 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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