Prediction of Hidden Coal Gas Fire Spontaneous Combustion Source Based on Chaos Theory

Hidden coal gas fire spontaneous combustion troubles are one of the greatest threats to the coal safety production due to the gas explosion. In this paper, a novel method of prediction the hidden fire source is presented by means of choosing the concentration of CO gas as the indicator to detect the hidden coal gas fire location because CO gas is first reach the alarm threshold in the process of coal spontaneous combustion. The chaotic characteristics of CO gas are analyzed, and the duffing chaotic oscillator is used to detect the weak CO gas concentration signals, then the simulation model is established. The research experiment result shows that this method has high sensitivity for predicting the location of coal spontaneous combustion.