基于模糊聚类分析的采空区自燃“三带”性质研究

针对采空区内不同区域的煤自燃倾向性存在差异性的问题,采用基于模糊聚类分析的采空区自燃"三带"划分方法对不同测点数据进行了分类,分析了不同λ截距阵下各分类的差异性。分析结果表明:不同的λ值可以将数据划分为不同的类别;在一定范围内,随着λ值的增大,原有的类别可以被划分为更小的子类;当λ值增大时,采空区内距工作面较近区域的测点数据更容易被划分为更小的子类,而距工作面较远区域的测点数据分类较为稳定,则可判定距煤壁较远的采空区区域环境性质较为稳定,而距煤壁较近的采空区区域环境性质差异较大;运用F-统计量计算最优的λ,相应分类与采空区"三带"划分相吻合。

Research of properties of spontaneous combustion "three zones" in goaf based on fuzzy clustering analysis

In view of problem of differences in tendency of coal spontaneous combustion at different regions in goaf,data of measured points were classified by using division method of spontaneous combustion "three zones" in goaf based on fuzzy clustering analysis and differences of each classification under different λ-intercept matrix were analyzed.Analysis results showed that the data can be divided into different categories by different values of λ;in a certain range,original categories will be divided into smaller subclasses with increasing of value of λ;when value of λ increases,data of measured points in areas close to working face can be divided into smaller subclasses more easily and data of measured points in areas far from working face are stable,so environmental properties in goaf far from working face are relatively stable and forepart changes greatly;the categories to optimal λ calculated by F-statistics uniform with division of "three zones" in goaf.