煤层底板突水危险性的可拓聚类预测方法研究  

Research on Extension Clustering Prediction Method for Coal Seam Floor Water Inrush Risk

作　　者：刘年平[1,2] 赵春侠[1] 王宏图[3] 胡慧慧[1] 

机构地区：[1]西南科技大学环境与资源学院,四川绵阳621010 [2]西南科技大学非煤矿山安全技术四川省高等学校重点实验室,四川绵阳621010 [3]重庆大学煤矿灾害动力学与控制国家重点实验室,重庆400044

出　　处：《矿业安全与环保》2016年第2期63-66,共4页Mining Safety & Environmental Protection

基　　金：国家自然科学基金项目(41372301);四川省教育厅重点项目(15zd2139);西南科技大学杰出青年科技人才计划项目(13zx9109);西南科技大学博士研究基金项目(12zx7118)

摘　　要：基于物元模型和聚类分析,提出了煤层底板突水危险性的可拓聚类预测方法。利用煤层底板突水危险性等级和影响因素,构建经典域物元和节域物元,应用物元理论和可拓集合中的关联函数,建立了煤层底板突水危险性等级评价的可拓学聚类模型。以淮北矿区的某矿工作面为例,对煤层底板突水危险性可拓聚类预测方法的可行性进行了验证。研究结果表明,基于可拓评判法的煤层底板突水危险性分类具有较高的可靠度和实用性,为煤层底板突水危险性快速判别提供了较为有效的方法。Based on the matter-element model and the clustering analysis method,an extension clustering prediction method for the coal floor water inrush risk was proposed. The classical field matter element and segment field matter element were built according to the risk classifications and influence factors of the coal floor water inrush,and by using the matter element theory and the correlated functions in the extension sets,en extension clustering model for the evaluation of the coal floor water inrush risk was established. Verification was made on the feasibility of the extension clustering prediction method for coal floor water inrush risk by taking a mine in Huaibei Coal Mining Area as an example. The research results showed that the classification of coal floor water inrush risk based on the extension evaluation method has high reliability and practicability,and it provided a more effective method for fast identifying coal floor water inrush risk.

关 键 词：底板突水危险性 可拓聚类方法 物元模型 聚类分析 

分 类 号：TD745[矿业工程—矿井通风与安全]