Study on the critical value prediction of the shortest spontaneous combustion period of coal seam based on oxygen consumption characteristics
Zhang Jianguo 1, Zhang Xiaodong 2, 3, Li Zongxiang 3
1. Shanxi Shide Sunjiagou Coal Mine Co., Ltd., Xinzhou 036600, China; 2. Security and Emergency Management Engineering College of Taiyuan University of Technology, Taiyuan 030024, China; 3. College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China
Aiming at the hidden danger of spontaneous combustion of residual coal in the goaf of No.13 coal seam in 13401 fully mechanized caving face of Sunjiagou Coal Mine in Shanxi Province, the oxygen consumption rate and CO generation law of No.13 coal seam coal samples under different oxygen concentrations were quantitatively analyzed by using the self-developed closed oxygen consumption device, combined with theoretical analysis and numerical calculation. By using piecewise linear regression and data smoothing method, the oxygen concentration attenuation rate and volume oxygen consumption rate constant were extracted. The results show that the oxygen consumption rate of coal samples is significantly negatively correlated with oxygen concentration ( R2 = 0.997 1 ). The critical oxygen concentration of asphyxiation is 3.425%, and the corresponding critical value of mass oxygen consumption rate is 7.320×10-7 mol/(kg·s). The ratio of CO generation rate to oxygen consumption rate is 1:896.4.Combined with the distribution characteristics of residual coal in goaf, the early warning threshold of CO in return air corner of working face is deduced to be 66.5 ppm.When the monitoring value exceeds the threshold, it shows that the coal body in goaf has entered the stage of thermal oxidation and needs to start fire prevention measures.
张建国1，张晓东2, 3，李宗翔3. 基于耗氧特征的煤层最短自然发火期临界值预测研究[J]. 煤炭与化工, 2026, 49(5): 105-110.
Zhang Jianguo 1, Zhang Xiaodong 2, 3, Li Zongxiang 3. Study on the critical value prediction of the shortest spontaneous combustion period of coal seam based on oxygen consumption characteristics. CCI, 2026, 49(5): 105-110.
