Research on a Spontaneous Combustion Prevention System in Deep Mine: A Case Study of Dongtan Coal Mine

ABSTRACT

Due to the influence of high ground stress, high ground temperature, high water inflow and other problems in deep mines, coal spontaneous combustion (CSC) is seriously harmful. This paper studied the variation law of three kinds of indicator gases in the process of coal heating in deep mines, and established a multi-parameter gas indicator prediction system for CSC. Secondly, in view of the shortcomings of the negative pressure bundle tube. A positive pressure beam tube monitoring system for early warning of CSC was developed, the accuracy of sampling data was verified on site, and the high temperature area in the well was further identified by isotope radon measurement. Combined with the positive pressure beam tube monitoring system, to realize the joint detection of uphole and downhole. Finally, according to the detection results of the fire area, the fire prevention methods for small space fire area, multi-coal seam and multi-source air leakage complex fire area and large-area concealed fire area are determined. The above-mentioned CSC early warning and prevention system was applied in Dongtan (DT) Coal Mine, and a good fire prevention effect was achieved. In this paper, the CSC prevention and extinguishing system established has important significance in the prevention and control of mine fires.

KEYWORDS:

• Deep mine
• coal spontaneous combustion
• positive pressure beam tube
• fire zone inversion
• fire-fighting system

Acknowledgments

This research was supported by the National Natural Science Foundation of China (51904172), the China Postdoctoral Science Foundation (2020M682209), the Research Fund of Key Laboratory of Safe and Effective Coal Mining (Anhui University of Science and Technology), Ministry of Education (JYBSYS2020102), the Qingdao West Coast New Area Science and Technology Benefiting People Project(2019-109)

Disclosure statement

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

Additional information

Funding

This research was supported by the National Natural Science Foundation of China (51904172), the China Postdoctoral Science Foundation (2020M682209), the Research Fund of Key Laboratory of Safe and Effective Coal Mining (Anhui University of Science and Technology), Ministry of Education (JYBSYS2020102), the Qingdao West Coast New Area Science and Technology Benefiting People Project (2019-109).