Optimization For Coal Spontaneous Combustion Function Based On Artificial Fish Swarm Algorithm

Spontaneous combustion of coal is affected by many factors an extremely complex physical and chemical reaction. Coal Spontaneous Combustion serious impact on mine safety and production, and therefore the mechanism of coal spontaneous combustion theory has been a hot issue of modern scholars. In this paper, theoretical knowledge to analyze the kinetics of thermal analysis and the establishment of spontaneous combustion of coal oxidation kinetics of thermal analysis theoretical system summed up the coal oxidation kinetics equation.In this paper, in order to determine the optimal function of spontaneous combustion of coal, the first use TGA experiments and pyrolysis kinetics of coal oxidation method to establish the dynamic equations of thermal analysis, and through the use of artificial fish swarm algorithm to optimize the spontaneous combustion of coal oxidation equation to determine the most excellent function of coal spontaneous combustion. This method can determine the mechanism of coal spontaneous combustion optimization function, and has good fitting effect. AFSA study of different rank coal samples from coal spontaneous combustion mechanism functions, while the East Wing Shuangyashan coal mine two 14-storey mining area of sample example TGA experimental analysis, and by AFSA pyrolysis spontaneous combustion of coal function equation dynamic equation established optimization.Optimization process showed that:thermal analysis kinetic equations can be used in the form of higher correlation coefficient; heating rate parameters affect the dynamic equations of thermal analysis.