模糊聚类遗传算法在遗煤自燃火灾识别中的应用

Application of Fuzzy Clustering Genetic Algorithm on Recognition of Losing Coal Spontaneous Combustion Fire

遗煤自燃是引发煤矿火灾的主要原因之一。针对遗煤自燃的特征,采用模糊聚类划分遗煤自燃发生程度,利用遗传的全局搜索能力,提出了一种遗煤火灾检测的聚类分析方法,通过分析企业实际火灾监控数据,检验了该方法的准确性。

Losing coal spontaneous combustion is one of the main reasons for coal mine fire. According to the characteristics of losing coal spontaneous combustion, a clustering analysis method of losing coal fire recognition has been proposed by the global search ability of genetic algorithm, and it uses the fuzzy clustering dividing the degree of losing coal spontaneous combustion. The accuracy of the method has been tested through analyzing actual fire monitoring data of enterprises.