中国安全科学学报 ›› 2023, Vol. 33 ›› Issue (1): 145-151.doi: 10.16265/j.cnki.issn1003-3033.2023.01.0601

• 安全工程技术 • 上一篇    下一篇

基于复杂网络的煤矿火灾爆炸致因研究

杨应柳1(), 晋良海1,2,3, 邵波1, 陈述1, 江新1, 陈颖1   

  1. 1 三峡大学 水利与环境学院,湖北 宜昌 443002
    2 湖北省水电工程施工与管理重点实验室(三峡大学), 湖北 宜昌 443002
    3 三峡大学(湖北)安环科技有限公司, 湖北 宜昌 443002
  • 收稿日期:2022-08-06 修回日期:2022-11-12 出版日期:2023-01-28 发布日期:2023-07-28
  • 作者简介:

    杨应柳 (1996—),女,贵州遵义人,硕士研究生,主要研究方向为安全功效学、工程项目管理及大数据应用。E-mail:

    晋良海,教授

    邵波,副教授

    陈述,教授

    江新,教授

  • 基金资助:
    国家自然科学基金资助(52179136); 国家自然科学基金资助(51878385); 教育部人文社科规划基金资助(21YJA630038)

Research on causes of coal mine fire and explosion based on complex network

YANG Yingliu1(), JIN Lianghai1,2,3, SHAO Bo1, CHEN Shu1, JIANG Xin1, CHEN Ying1   

  1. 1 College of Hydraulic & Environmental Engineering, Three Gorges University, Yichang Hubei 443002 China
    2 Center of Standardization Evaluation for Production Safety, Three Gorges University, Yichang Hubei 443002 China
    3 Safety & Environment Science and Technology Ltd., Three Gorges University, Yichang Hubei 443002, China
  • Received:2022-08-06 Revised:2022-11-12 Online:2023-01-28 Published:2023-07-28

摘要:

为预防或减少煤矿火灾爆炸事故的发生,挖掘煤矿火灾爆炸关键致灾因子,厘清致因间的作用机制,首先基于国内煤矿火灾事故案例,分析得出煤矿火灾爆炸的26个致灾因子;然后基于复杂网络理论构建煤矿火灾爆炸致灾因子网络,计算度数中心度、聚类系数、介数中心度等网络拓扑特征参数,探析煤矿火灾爆炸致灾因子特性;最后引入煤矿火灾致因链风险度指标,计算不同边的风险度,挖掘高风险度连边,并提出断链措施。结果表明:煤矿火灾爆炸关键致灾因子网络具有小世界网络特性,致因间转换路径较短,关键致灾因子包括工人违规操作、通风设备故障、停电以及监管人员失职;危险度最大的边为监管人员失职→工人违规操作,次之为煤炭自燃→高温辐射,火灾发生前采取有效措施管控关键节点,火灾发生后对风险度高的边进行断链操作即可达到防灾减灾的效果,主动控制煤矿爆炸火灾的发生与发展。

关键词: 煤矿火灾, 爆炸致灾因子, 复杂网络, 拓扑特征, 风险度

Abstract:

In order to prevent or reduce the occurrence of coal mine fire and explosion accidents, excavate the key disaster-causing factors of coal mine fire and explosion, and clarify the mechanism of action between the causes, firstly, based on the domestic coal mine fire accident cases, 26 disaster-causing factors of coal mine fire and explosion were analyzed. Then, based on the complex network theory, the disaster-causing factor network of coal mine fire and explosion was constructed, and the network topology characteristic parameters such as degree centrality, clustering coefficient, and betweenness centrality were calculated to analyze the characteristics of the disaster-causing factors of coal mine fire and explosion. Finally, the risk index of coal mine fires causing chains were introduced to calculate the risk degree of different edges, the high-risk edge was excavated, and the chain-breaking measures were put forward. The results show that the network of key disaster-causing factors for coal mine fire and explosion has the characteristics of a small-world network, and the conversion path between causes is short. The key disaster-causing factors include workers' illegal operations, ventilation equipment failure, power failure, and supervisors' dereliction of duty. The most dangerous aspect is the failure of supervision personnel to perform their duties and the illegal operations by workers, followed by spontaneous coal combustion and high temperature radiation. Before the fire occurs, effective measures are taken to control the key nodes. Following the occurrence of the fire, the high-risk chain-breaking operation can achieve the effects of disaster prevention and mitigation while actively controlling the occurrence and development of coal mine explosion fire.

Key words: coal mine fire, explosion disaster causing factor, complex network, topological features, risk degree