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复杂网络视角下的煤矿安全风险演化及关键隐患研究

Research on coal mine safety risk evolution and key hidden dangers under the perspective of complex network.

作者信息

Su Guorui, Hu Eryi

机构信息

Information Research Institute of the Ministry of Emergency Management, Chaoyang, Beijing, 100029, China.

出版信息

Sci Rep. 2024 Sep 4;14(1):20624. doi: 10.1038/s41598-024-71004-2.

Abstract

In order to find out the main causes of coal mine safety accidents and improve the pertinence of coal mine safety risk management and control, the identification and analysis of coal mine safety risks and hidden dangers are carried out based on the analysis of coal mine accident reports. Combing the complex network theory, a complex network model for the evolution of coal mine safety risks is constructed. The key elements that affect coal mine safety risk accidents are obtained through quantitative research on the characteristic indicators of the complex network model of coal mine safety risks. And the key nodes of coal mine safety risk spread network are obtained through network interference to the overall efficiency. The research results show that the complex network of coal mine safety risks illustrate the characteristics of a small-world network, and the spread of a certain risk is likely to cause coal mine safety accidents. Strengthening the risk management and control of hidden dangers with higher intermediate centrality can isolate the spread of coal mine safety risks and reduce the possibility of coal mine accidents.

摘要

为找出煤矿安全事故的主要原因,提高煤矿安全风险管理与控制的针对性,在分析煤矿事故报告的基础上,开展煤矿安全风险与隐患的识别和分析。结合复杂网络理论,构建煤矿安全风险演化的复杂网络模型。通过对煤矿安全风险复杂网络模型特征指标的定量研究,得出影响煤矿安全风险事故的关键要素。通过网络对整体效率的干扰,得出煤矿安全风险传播网络的关键节点。研究结果表明,煤矿安全风险复杂网络具有小世界网络特征,某一风险的传播很可能引发煤矿安全事故。加强对中间中心性较高的隐患的风险管理与控制,可隔离煤矿安全风险的传播,降低煤矿事故发生的可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3460/11374889/bc56da847747/41598_2024_71004_Fig1_HTML.jpg

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