Knowledge discovery and disaster chain network analysis of coal mine roof accidents
陈堃谭吉玉丁元春
CHEN Kun;TAN Jiyu;DING Yuanchun
江西理工大学应急管理与多学科交叉创新研究中心
为预防煤矿顶板事故的发生,发现事故致因的知识和致因灾害链的网络分析具有重要意义;以煤矿顶板事故报告中的事故原因为数据集,构建事故致因知识图谱,并基于复杂网络对致因灾害链进行网络分析。研究结果表明:顶板冒顶、空顶、支架变形等22个原因是导致煤矿顶板事故发生的主要致灾因子;灾害链网络分析中风险度最大的边为违章指挥→作业人员违章作业;对关键节点和边实施管控,能有效控制煤矿顶板事故的发生或衍生发展。
In order to prevent the occurrence of coal mine roof accidents, it is of great significance to realize the knowledge discovery of accident causes and the network analysis of disaster chain. Taking the accident causes in the coal mine roof accident report as the data set, the knowledge map of accident causes was constructed. Further, based on the complex network theory, the causal disaster chain network is constructed and analyzed. The research results show that 22 factors, such as roof collapse, empty roof and support deformation, are the main disaster causing factors of coal mine roof accidents; the side with the greatest risk is from illegal command to illegal operation of operators in disaster chain network analysis. The control of key nodes and edges can effectively control the occurrence or derivative development of coal mine roof accidents.
顶板事故复杂网络知识发现灾害链安全管理
coal mine roof accident;complex network;knowledge discovery;disaster chain;safety management
主办单位:煤炭科学研究总院有限公司 中国煤炭学会学术期刊工作委员会