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基于多预测模型优选的高硫矿石自燃预测及处理OA

Prediction and processing of high sulfur ore spontaneous combustion based on multi-prediction model optimization

中文摘要英文摘要

高硫矿石的自燃预测对于矿山企业安全生产具有重要意义,在其它外部因素一定的情况下,高硫矿石自燃与矿堆表面温度关系密切.为了对高硫矿石自燃情况进行预测,进而指导矿山安全生产.以高硫矿石矿堆早期的温度变化的时间序列为基础,采用GM(1,1)模型、微分verhulst模型及差分verhulst模型等多种预测模型对高硫矿石的前期温度进行模拟,根据模拟结果对预测模型进行优选以对高硫矿石终了温度进行准确预测.将温度预测结果与高硫矿石自燃与矿石温度的对应情况进行参照对比,以此判定高硫矿石自燃结果,并采取有针对性的矿石自燃措施进行防范.经实践检验:多预测模型优选后的高硫矿石自燃预测和应对处理可以有效防范高硫矿石自燃,对于高硫矿石矿山安全生产具有现实意义.

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.

孔令贤

黑龙江紫金龙兴矿业有限公司,黑龙江 哈尔滨 150000

矿山工程

高硫矿石自燃预测

high sulfurOreSpontaneous combustionforecast

《世界有色金属》 2024 (12)

25-28,4

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