Coal Combustion Warning System Based on TDLAS and Performance Research

As the signature gas released before coal combustion, methane’s telemetry accuracy is susceptible to environmental influences, which is a difficult problem that needs to be solved. This article provides a detailed exposition on the application of Tunable Diode Laser Absorption Spectroscopy (TDLAS) technology in the field of gas monitoring, with particular emphasis on its advantages in coal safety detection. The coal combustion experiment is conducted to determine the required performance indexes. Through the temperature compensation algorithm and normalized signals, the impact of factors such as ambient temperature and environmental noise is reduced, effectively improving the signal-to-noise ratio and accuracy. The experiments demonstrate that this system effectively lowers the detection limit for methane while improving measurement accuracy, thereby providing robust support for the early warning of coal spontaneous combustion.

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Publication Details

Journal
Photonics
Published
2025-05-15
DOI
https://doi.org/10.3390/photonics12050493
Primary Topic
Fire Detection and Safety Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Coal Combustion Warning System Based on TDLAS and Performance Research

Zhigang Xie, P. Li, Guanyu Lin, Jianing Wang et al.
Photonics
Fire Detection and Safety Systems
article

Coal Combustion Warning System Based on TDLAS and Performance Research

Zhigang Xie, P. Li, Guanyu Lin, Jianing Wang, Weijia Li, Xi Wang, Hengyuan Kong
article en

Abstract

As the signature gas released before coal combustion, methane’s telemetry accuracy is susceptible to environmental influences, which is a difficult problem that needs to be solved. This article provides a detailed exposition on the application of Tunable Diode Laser Absorption Spectroscopy (TDLAS) technology in the field of gas monitoring, with particular emphasis on its advantages in coal safety detection. The coal combustion experiment is conducted to determine the required performance indexes. Through the temperature compensation algorithm and normalized signals, the impact of factors such as ambient temperature and environmental noise is reduced, effectively improving the signal-to-noise ratio and accuracy. The experiments demonstrate that this system effectively lowers the detection limit for methane while improving measurement accuracy, thereby providing robust support for the early warning of coal spontaneous combustion.

PhotonicsVol. 12(5)
Chinese Academy of Sciences (CN), Beijing Electronic Science and Technology Institute (CN), Changchun Institute of Optics, Fine Mechanics and Physics (CN), University of Chinese Academy of Sciences (CN)
Youth Innovation Promotion Association of the Chinese Academy of Sciences
Openalex Percentile: Top 88%
Fire Detection and Safety Systems
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