基于信息熵-模糊数学的岩巷掘进机械化作业线选择方法研究  

Mechanized working line selection for rock drivage based on information entropy-fuzzy mathematics

作　　者：蔡炜凌[1,2] 丁日佳[1] 陈翔[3] 赵鑫[4] 付小林[1] 

机构地区：[1]中国矿业大学(北京)管理学院,北京100083 [2]北京城建集团,北京100088 [3]河北工程大学建筑学院,河北邯郸056038 [4]河北工程大学土木学院,河北邯郸056038

出　　处：《煤炭工程》2017年第1期115-118,共4页Coal Engineering

基　　金：国家社科基金"重大生态安全风险识别;管控与应急处理研究"(14bjy022)

摘　　要：为缓解日益紧张的采掘矛盾,合理降低掘进成本,提高岩巷的综掘水平。通过理论分析、实地调研和数据处理手段,选择有效区别度量的质量、成本、工期、劳动强度、安全程度和工作环境等因素作为决策变量,利用熵理论,深入挖掘数据之间的内在联系。构建了基于"信息熵-模糊数学"的岩巷掘进"机械化作业线选择方法数学模型",用于指导煤矿岩巷掘进机械化作业线的选择。在霍州煤电甘河矿二采区运输巷成功应用,取得了良好的经济和社会效益。To ease the growing conflict in the mining,reduce driving cost and improve the level of mechanized driving.Disadvantage of the linear meter cost comparison method commonly used in the mechanization operating line was analyzed.Due to the deficiency of AHP in weighting in fuzzy comprehensive evaluation, through theoretical analysis, spot investigation, data processing, quality, cost, period, labor intensity, degree of safety, work environment were considered as the decision variables. The model of selection on rock tunneling driving machine mechanized working line based on information entropy-fuzzy mathematics was formulated to guide rock drivage. The model was applied in belt roadway of No. 2 mining district in Huozhou Coal Mine and achieved good economic and social benefits.

关 键 词：岩巷掘进 机械化作业线 信息熵 模糊数学 

分 类 号：TD263[矿业工程—矿井建设]