基于G-K评价与粗糙集的煤与瓦斯突出分类分析

Coal and gas outburst classification analysis based on G-K evaluation and rough set

采用G-K评价方法,依据煤矿生产过程中煤与瓦斯突出事故发生的可能性、人员暴露于危险环境中的频繁程度及发生事故可能造成的后果3个指标,确定了矿井煤与瓦斯突出分类等级划分标准。基于粗糙集理论,以指标集为基础,建立了煤与瓦斯突出分类的知识表达系统,提出了决策表中知识约简、规则提取原则。以典型煤矿煤与瓦斯突出实际数据为例,通过粗糙集决策规则的数据处理过程,得出在影响煤与瓦斯突出分类的9种因素之中,主导因素为3项,其排序为最大开采深度、最大突出强度和最大瓦斯压力。在实际分类中,不应该只考虑其中一个因素,而要综合考虑9种因素,从而有效地控制煤与瓦斯突出。

According to the possibility of coal and gas outburst accident in the coal mine production process,the frequency of human exposure to hazardous environment and the consequences of any accident,with G-K evaluation method used,the coal and gas outburst grading standards were determined for classification.Based on rough set theory,the index set was also employed as the basis to establish coal and gas outburst classification representation system,knowledge reduction in decision table,and rule extraction principle.Took the actual data of coal and gas outburst from a typical mine for example,through data processing of rough set decision rules,draws the conclusion that among the nine factors of affecting coal and gas outburst classification,the order of the three leading factors is the maximum depth of mining,the most prominent strength,and the maximum gas pressure.In the actual classification,all the nine factors should be taken into account in order to effectively control coal and gas outburst.