Application of Rapid Identification Technology in Shallow Coal Seam Fire Detection

ABSTRACT

Due to the shallow buried depth of shallow coal seam, it is easy to produce cracks through the surface during the mining process, which leads to the occurrence of fire accidents in shallow coal seam. In this paper, a rapid identification method for shallow coal seam fire area is proposed to improve the accuracy and efficiency of radon measurement by increasing the number of single gas extraction and single detection range in radon measurement process. The new method was applied in a mine in Shaanxi, China, and the location and range of the fire area were successfully delineated according to the abnormal value of radon gas. The results show that the new method can reduce the number of measuring points, improve the efficiency of radon measurement, and expand the range of single measuring point to a circular area with a radius of 10 m, which expands the detection range. This provides an important reference for the rapid identification of fire areas in shallow coal seams and the next coal mine fire prevention and extinguishing work.

KEYWORDS:

• Shallow coal seam
• radon measurement
• concealed fire source
• fire zone determination
• fire prevention

Disclosure statement

No potential conflict of interest was reported by the author(s).

Author contribution

Writing – original draft: Shoulei Duan; Writing – review and editing: Lifen Fang; Methodology: Quanlin Shi, Qiming Huang and Haishan Wang

Data availability statement

All data generated or analyzed during this study are included in this published article [and its supplementary information files].

Additional information

Funding

This work was supported by the National Natural Science Foundation of China (grant numbers 52274212,51934004 and 51704187);Shandong Natural Science Foundation, China (grant numbers ZR2022ME108 and ZR2019QEE029);Shandong Province Key Research and Development Plan, China (grant number 2019GSF109068);The Science and technology support plan for Youth Innovation of colleges and universities in Shandong Province (grant number 2019KJH006).