Research on coal mine safety hidden danger management based on complex network analysis
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摘要: 针对煤矿安全隐患要素繁多、不同隐患要素之间关系复杂的问题，以潞安集团司马煤业有限公司2009—2015年煤矿安全隐患数据为基础，将作业单位、隐患地点和隐患类型等安全隐患要素视为独立的节点，以隐患日期为依据划分时间区间，从而将特定时间区间内隐患类型与隐患地点、隐患类型与作业单位之间的联系以复杂网络方式展示；利用网络密度、中心势、中心度等复杂网络指标分析网络整体结构及网络中节点的动态变化，从而明确需要重点关注的核心隐患类型及相关隐患地点和作业单位，为煤矿安全管理提供有效指导。Abstract: In view of problems of various coal mine safety hidden danger factors and complex relationship among different hidden danger factors, based on coal mine safety hidden danger data of Sima Coal Mining Co., Ltd. of Lu'an Group during 2009-2015, operation department, hidden danger location and hidden danger type were regarded as independent nodes, and time interval was divided according to hidden danger date, so as to display relationship between hidden danger type and hidden danger location, and hidden danger type and operation department within a specific time interval in form of complex network. The complex network indexes such as network density, centralization and centrality were used to analyze dynamic changes of the whole network structure and nodes in the network, so as to identify core hidden danger type and related hidden danger location and operation department that need to be focused on, and provide effective guidance for coal mine safety management.
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期刊类型引用(7)
1. 王占宝，刘小杰，刘鹏. 基于Grey-DEMATEL的煤矿隐患关键因素研究. 中国安全科学学报. 2024(S1): 39-45 . 
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2. 陆微，董超，张攀，董依梦，郭聖煜. 城市轨道交通工程安全隐患网络特征分析. 工程管理学报. 2022(02): 86-91 . 百度学术
3. 陈述，朱丽萍，陈云，郑霞忠，纪勤. 基于复杂网络的水电工程施工安全隐患时序特性. 中国安全科学学报. 2022(08): 61-66 . 百度学术
4. 李振明，牛毅，樊运晓，王睿. 不同区域高速公路货车事故特征研究. 中国安全科学学报. 2020(06): 121-127 . 百度学术
5. 赵艺. 煤矿企业安全管理的现状与对策. 内蒙古煤炭经济. 2020(05): 115-116 . 百度学术
6. 谭章禄，陈孝慈. 基于链路预测的安全隐患管理研究. 中国安全生产科学技术. 2020(09): 18-23 . 百度学术
7. 孟庆勇，顾闯. 煤矿工业互联网信息安全风险评估. 工矿自动化. 2019(08): 43-47 . 本站查看
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