Paper
12 December 2021 Study on infrared detection of coal seam spontaneous combustion high temperature anomaly area
Linchao Shi, Xiangyang Zhang, Biao Kong, Angling Ren, Linxuan Li, Zhaohao Li, Liu Liu, Tongchang Ma
Author Affiliations +
Proceedings Volume 12127, International Conference on Intelligent Equipment and Special Robots (ICIESR 2021); 121272T (2021) https://doi.org/10.1117/12.2625111
Event: International Conference on Intelligent Equipment and Special Robots (ICIESR 2021), 2021, Qingdao, China
Abstract
China is rich in coal resources, and its reserves and consumption rank among the top in the world. Mine fires and coalfield fires caused by coal seam spontaneous combustion have brought great difficulties to coal mining and environmental governance. In this paper, the infrared thermal imager is selected for the field test in the high-temperature abnormal area of coal seam spontaneous combustion. Combined with the correlation and linear relationship among the temperature, pixel value and distance of the infrared thermal imager, the field test data and temperature fitting curve of Daquan Lake fire area in Xinjiang are obtained. The test images at different distances show that the closer the test distance is, the higher the pixel value of the instrument is, and the clearer the fire zone is; the fitted maximum temperature curve shows that the closer the test distance is, the higher the maximum temperature is, and the linear relationship is obvious; according to the attenuation law of the pixel value of the infrared thermal imager with the increase of distance, it can be seen that the maximum temperature of the test image has a linear relationship with the test distance. The closer the test distance is, the higher the maximum temperature is. This study confirms the qualitative and quantitative law of infrared detection in the high temperature abnormal area of coal seam spontaneous combustion, and provides a certain reference for the research of infrared detection of coal seam spontaneous combustion.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Linchao Shi, Xiangyang Zhang, Biao Kong, Angling Ren, Linxuan Li, Zhaohao Li, Liu Liu, and Tongchang Ma "Study on infrared detection of coal seam spontaneous combustion high temperature anomaly area", Proc. SPIE 12127, International Conference on Intelligent Equipment and Special Robots (ICIESR 2021), 121272T (12 December 2021); https://doi.org/10.1117/12.2625111
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KEYWORDS
Thermography

Combustion

Infrared radiation

Infrared imaging

Infrared detectors

Mining

Infrared detection

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