Coal plays a dominant role in China's energy supply, so coal mine safety production is particularly important. Mine fire is one of the common coal mine disasters, and the goaf is the most prone place for underground fire. Therefore, the prediction and prediction of goaf fire is very important for mine fire control. Strengthen the research on goaf fire prediction and prediction, It is a great guarantee for the safety of underground workers. In this paper, taking the goaf of 3117 working face of Xin'an Coal Mine as a reference, the beam tube monitoring system is used to analyze the extraction of index gas in the goaf, and the three spontaneous combustion zones are divided according to the oxygen concentration. Finally, the minimum advancing speed of the working face is calculated to realize the prediction of spontaneous combustion fire in the goaf of the working face.
In order to reveal the AE time series characteristics of coal in different damage and failure processes, a multiple damage mechanics and AE experimental system was established to study the changes of AE signals in the deformation and failure process of Bailu coal and Bailu rock under the conditions of heating, uniaxial compression and temperature pressure coupling. The experimental results show that the AE characteristics of coal in different variable damage and fracture stages are different, and the AE signal intensity produced by temperature pressure coupling is significantly higher than that of heating up and uniaxial compression. Fitting the relationship between temperature, stress and AE under three failure conditions, the results show that there is an obvious correlation between temperature, stress and AE.
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