Research on Prediction System of Spontaneous Combustion in Coal Mine Goaf Based on Multi-Sensor Fusion Technology

Abstract

The spontaneous combustion in coal mine goaf badly influences the underground safe work and regular production, which has become one of the major disasters that get much attention and need to be controlled. This paper analyzes the causes of spontaneous combustion and the relationship between the significant gas and temperature, the degree of spontaneous combustion, and coal category to monitor the composition and concentration of the significant gas of the spontaneous combustion in coal mine goaf and graphically visualize the change trend in a certain period. At the same time, when the composition and concentration of the significant gas approach the spontaneous combustion point, the system can make a sound-light alarm. The system not only provides robust technical support for the prediction of the spontaneous combustion in goaf, but also gives some reference for the prevention of underground spontaneous combustion in coal industry.