Daliuta Coal Mine, CHN Energy Shendong Coal Group
Shenyang Research Institute Co., Ltd., China Coal Technology Engineering Group
National Key Laboratory of Coal Mine Disaster Prevention and Control

采空区是煤自燃与瓦斯灾害耦合共存的重点区域,针对基于采场气体、温度等静态临界指标的常规预警方法难以实现采空区复合热动力灾害风险的精准辨识问题,通过自主搭建的采空区热动力灾害前兆信息多传感器耦合探测实验平台模拟采空区煤自燃诱发瓦斯爆炸全过程,获得采空区热动力灾害耦合演变过程中多场信息,研究温度场、氧气浓度场、甲烷浓度场和气压场变化规律。根据实验结果及理论分析,构建了基于采空区漏风率和工作面压差的灾害耦合演变分级预警指标体系,为煤矿热动力灾害智能预警提供理论支撑。

The goaf is a key area where coal spontaneous combustion and gas disasters coupling coexistence. In response to the problem of difficult to achieve accurate identification of the risk of composite thermodynamic disasters in goaf using conventional early warning methods based on static critical indicators such as gas, temperature and others in the stope, through self-constructing a multi-sensor coupling detection experimental platform for precursor information of thermodynamic disasters in goaf, the entire process of coal spontaneous combustion induces gas explosion in goaf is simulated, multiple field information during the coupling evolution process of thermodynamic disasters in goaf is obtained, and the change laws in temperature field, oxygen concentration field, methane concentration field, and pressure field are studied. According to experimental results and theoretical analysis, a disaster coupled evolution grading early warning indicator system based on goaf air leakage rate and working face pressure difference is constructed, providing theoretical support for intelligent early warning of coal mine thermodynamic disasters.