Prediction and processing of high sulfur ore spontaneous combustion based on multi-prediction model optimization
The prediction of spontaneous combustion of high sulfur ore is of great significance for the safety production of mining enterprises.Under certain external factors,the spontaneous combustion of high sulfur ore is closely related to the surface temperature of the ore heap.In order to predict the spontaneous combustion of high sulfur ores and guide mine safety production.Based on the time series of early temperature changes in high sulfur ore piles,various prediction models such as GM(1,1)model,differential Verhulst model,and difference Verhulst model are used to simulate the early temperature of high sulfur ore.Based on the simulation results,the prediction model is optimized to accurately predict the final temperature of high sulfur ore.Compare the temperature prediction results with the corresponding situation of high sulfur ore spontaneous combustion and ore temperature,in order to determine the results of high sulfur ore spontaneous combustion,and take targeted measures to prevent it.Through practical testing,it has been proven that the self ignition prediction and response processing of high sulfur ores optimized by multiple prediction models can effectively prevent self ignition of high sulfur ores,which has practical significance for the safe production of high sulfur ore mines.
国家科技期刊平台
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