A method of inversing temperature of loose coal ignition based on genetic algorithm(GA)

The spontaneous combustion as one of the five natural coal mine disasters seriously affects people´s life and normal production of coal mine. Infrared technology as a new detection method not only has high temperature resolution but also can display temperature of the surface. In this paper, on the basis of the infrared detection, the location and intensity of hidden fire source can be found through detecting abnormal point on the surface of the temperature changing. The point source diffusion equation is established by dimensional analysis and experimental data, which can obtain the variation of the fire point location and intensity with time. And then, the target parameter can be calculated by using random parallel search mechanism of generic algorithm. The proposed inversion algorithm with great feasibility and advantage can be verified by experimental results, avoiding the ill-posed problem when solving the heat conduction equation compared with traditional algorithm, providing certain theoretical foundation and basis for the infrared imaging detection.