基于F-ANP模型的煤矿突水危险性评价  

Risk assessment of gushing water in coal mine based on F-ANP model

作　　者：陈光波 刘凤旭[1] CHEN Guangbo;LIU Fengxu(Mining Research Institute,Inner Mongolia University of Science and Technology,Baotou 014010,China;College of Energy and Mining Engineering,Shandong University of Science and Technology,Qingdao 266590,China)

机构地区：[1]内蒙古科技大学矿业研究院,内蒙古包头014010 [2]山东科技大学能源与矿业工程学院,山东青岛266590

出　　处：《矿业安全与环保》2023年第4期129-134,共6页Mining Safety & Environmental Protection

基　　金：国家自然科学基金项目(51774122);内蒙古自然科学基金项目(2020BS05007);内蒙古科技大学创新基金项目(2019QDL-B33)。

摘　　要：提出一种基于模糊网络分析法(F-ANP)的煤矿突水危险的评价模型,构建了科学、全面的煤矿突水危险性评价指标体系,该体系网络层包含人、机、环境、管理4个一级指标,涵盖了地表水、地下水等16个二级指标;基于模糊网络分析法建立模糊加权矩阵,计算矩阵得到权重向量,并最终根据最大隶属度原则判断突水危险等级。将该评价模型应用于南山煤矿突水危险性评价,评价结果为较安全等级,符合工程实际。对比实例分析与评价结果发现,模糊网络分析法在突水危险性评价中能更好地考虑指标的模糊性和不确定性,评价精度更高,科学性更强。This study proposes a risk assessment model of gushing water in coal mine based on fuzzy network analysis(F-ANP),and constructs a scientific and comprehensive risk evaluation index system of gushing water in coal mine.The network layer of the system includes four first-level indexes:human,machine,environment and management,including 16 second-level indexes such as surface water and ground water.The fuzzy weighting matrix is established based on the method of fuzzy network analysis,and the weight vector is obtained by calculating the matrix.The risk level of gushing water is judged according to the principle of maximum membership degree finally.The evaluation model is applied to the risk assessment of gushing water in Nanshan Coal Mine,and the evaluation result is a relatively safe level,which accords with the engineering practice.The comparison between the case analysis and the evaluation results shows that the fuzzy network analysis method can better consider the fuzziness and uncertainty of the index in the risk evaluation of gushing water,and the evaluation accuracy is higher and more scientific.

关 键 词：煤矿突水 安全评价 模糊网络分析法 评价指标体系 评价模型 

分 类 号：TD745[矿业工程—矿井通风与安全] X913.4[环境科学与工程—安全科学]