摘要
为了解巷道冒顶的主要因素,并对其冒顶风险等级进行评价,提出了基于AHP-云模型的评价方法。云模型可同时反映数据的定性和定量、模糊性和随机性、不确定性特征,而不用将几种处理不同特征数据的算法结合。给出了五个与巷道冒顶直接相关的指标,并对这些指标划分了四个级别的风险等级。云模型可得到各指标对于四个风险等级的隶属度,而AHP可提供各指标的权重,通过综合评价方法和最大隶属原则得到巷道冒顶风险等级。最后列举了某矿的四个巷道作为分析样本,得到了各巷道冒顶风险等级,说明了AHP-云模型算法的优点及应用价值。
In order to understand the main factors of roadway roof fall,and to evaluate the risk level of that,this paper put forward the evaluation method based on AHP-cloud model. The cloud model could reflect the qualitative and quantitative data,the fuzziness and randomness,uncertainty characteristics,instead of the algorithm combined with the several algorithm for different characteristics of data. It obtained the 5 indexes related to roadway roof fell,and divided the indexes into 4 risk levels. The cloud model could get the membership of the index for the 4 risk grade. AHP could provide the weight of each index. It obtained the risk level of roadway roof fall through the comprehensive evaluation method and the maximum membership principle.Finally,it obtained lists 4 roadways in a mine as analysis sample,the risk grade of the tunnel roof. The AHP-cloud model algorithm has the advantages and its application value.
作者
崔铁军
马云东
Cui Tiejun;Ma Yundong(College of Safety Science & Engineering, Liaoning Technical University, Fuxin Liaoning 123000 , China;Key Laboratory of Mine Thermodynamic Disasters & Control of Ministry of Education, Fuxin Liaoning 123000 , China;Tunnel & Underground Structure Engineering Center of Liaoning, Dalian Jiaotong University, Dalian Liaoning 116028 , China)
出处
《计算机应用研究》
CSCD
北大核心
2016年第10期2973-2976,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(61350003)
关键词
煤矿安全
安全管理
巷道冒顶
风险评价
coal mine safety
safety management
roadway roof fall
risk assessment
