摘要
为实现层状岩体巷道冒顶风险评价,建立基于层次分析法(AHP)和物元逼近理想解排序法(TOPSIS)的巷道冒顶评价模型。以辽宁某煤矿为例,首先选出影响层状岩体巷道冒顶的5个主要指标,依次为稳定岩层距巷道顶板表面的距离、地下水渗水量、巷道的跨度、稳定岩层厚度和顶板稳定岩层岩石的单轴抗压强度,然后运用AHP确定各指标的主观权重,并利用物元分析法进行修正,最后采用TOPSIS法对4个巷道样本进行评价,得出巷道冒顶风险评价结果:样本1和样本2为Ⅲ级,样本3为Ⅱ级,样本4为Ⅳ级,评价结果与未确知测度理论所得结果相符,证明了该方法的可行性和有效性。该方法克服了层次分析法确定指标权重的主观性,从而能够合理地对巷道冒顶风险进行评价。
In order to achieve risk assessment of bedded rock roadway roof fall, an evaluation model of roadway roof fall based on AHP and matter-element TOPSIS method was built.Taking a coal mine in Liaoning Province as an example, firstly the main factors influencing the bedded rock roadway roof fall, a total of 5 evaluation indexes were selected, and the subjective weights were calculated by AHP, then the weight of the index were modified by matter-element method, and four samples of roadway were evaluated by using the calculation of index weight and TOPSIS method.Finally it was concluded that sample 1 and sample 2 were grade Ⅲ, sample 3 was grade Ⅱ and sample 4 was grade Ⅳ ,consistent with the conclusion of unascertained measure theory.Results show the feasibility and effectiveness of the method.The method overcomes the subjectivity of analytic hierarchy process to determine the index weight, can reasonably evaluate the risk of roadway roof fall.
出处
《黄金科学技术》
CSCD
2017年第1期55-60,共6页
Gold Science and Technology
基金
国家自然科学基金项目"地下金属矿采掘计划可视化优化方法与技术研究"(编号:51374242)
国家自然科学基金青年基金项目"基于人工智能的矿山技术经济指标动态优化研究"(编号:51404305)
教育部高等学校博士学科点专项科研基金项目(博导类)"基于任务单元的地下矿山采掘计划可视化编制技术研究"(编号:20130162110009)联合资助
