基于信息熵和集对分析理论的硫化矿石自燃倾向性判定

结合信息熵和集对分析理论,建立一种新的硫化矿石自燃倾向性综合判定模型.以矿样的常温氧化质量增加率、自热点和自燃点等3项指标作为基本判定因子,采用信息熵反映测试数据的效用值确定不同因子的权重,避免权重分配的主观性,得到各待判定矿样的自燃倾向性与鉴定标准之间的联系度表达式:依据矿样不同指标的实测值与分级标准界限值的关系,对矿样进行同一、差异和对立的集对分析,得到相应的指标联系度和综合联系度,最终确定各矿样的自燃倾向性级别.运用该模型对国内某典型矿山的10个代表性矿样的自燃倾向性进行综合判定,所得结果与矿山实际结果相符合,表明该方法可行.

Evaluation on spontaneous combustion tendency of sulfide ores based on entropy and set pair analysis theory

The theories of entropy and set pair analysis were combined to establish a new model for evaluating spontaneous combustion tendency of sulfide ores.The oxidation increment of samples at ambient temperature,self-heating point,and self-ignition point were chosen as the basic evaluation indexes.The weight of each factor was determined from the avail value of data reflected by the entropy,and the subjective problems were avoided.The expression formula of connection degree between every sample and the appraisal criterion was obtained.Based on the relationship between the test values of evaluation factors and different levels of the standard threshold,the samples were ranked through the identity,difference and antagonism of set pair analysis.Then the index connection degree and comprehensive connection degree were obtained,and the samples were further classified.Spontaneous combustion tendency of 10 samples from a typical metal mine was evaluated by this new model.It is shown that the evaluation results are consistent with the factual,so this method is effective and objective for evaluating sponataneous combustion tendency of sulfide ores.