中国安全科学学报 ›› 2025, Vol. 35 ›› Issue (4): 35-42.doi: 10.16265/j.cnki.issn1003-3033.2025.04.1053

• 安全工程技术 • 上一篇    下一篇

煤矿水害事故致因复杂网络分析

马莲净 教授1,2(), 肖海波1, 赵宝峰 研究员3,4,5,**(), 江松 教授1,2, 刘迪 工程师1,2, 王颂1   

  1. 1 西安建筑科技大学 资源工程学院,陕西 西安 710055
    2 西安建筑科技大学 西安智慧工业感知计算与决策重点实验室,陕西 西安 710055
    3 中煤科工西安研究院(集团)有限公司 矿井水防治与水资源利用研究分院,陕西 西安 710077
    4 中煤科工西安研究院(集团)有限公司 煤矿灾害防控全国重点实验室,陕西 西安 710077
    5 中煤科工西安研究院(集团)有限公司 陕西省煤矿水害防治技术重点实验室,陕西 西安 710077
  • 收稿日期:2024-12-20 修回日期:2025-02-18 出版日期:2025-04-28
  • 通信作者:
    **赵宝峰(1981—),男,河北邯郸人,博士,研究员,主要从事煤矿水害防治方面的研究。E-mail:
  • 作者简介:

    马莲净 (1986—),女,河北衡水人,博士,教授,主要从事矿业安全与环保方面的研究。E-mail:

  • 基金资助:
    国家自然科学基金资助(42307073); 国家自然科学基金资助(51974223); 陕西省重点研发计划项目(2023-YBSF-345)

Analysis of complex network of causes of water disasters in coal mines

MA Lianjing1,2(), XIAO Haibo1, ZHAO Baofeng3,4,5,**(), JIANG Song1,2, LIU Di1,2, WANG Song1   

  1. 1 School of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, China
    2 Xi'an Key Laboratory of Perceptive Computing and Decision for Intelligent Industry, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055,China
    3 Mine Water Hazard Prevention & Control and Water Resources Utilization Research Branch, CCTEG Xi'an Research Institute (Group) Co., Ltd., Xi'an Shaanxi 710077, China
    4 State Key Laboratory of Coal Mine Disaster Prevention and Control, CCTEG Xi'an Research Institute (Group) Co., Ltd., Xi'an Shaanxi 710077, China
    5 Shaanxi Key Laboratory of Prevention and Control Technology for Coal Mine Water Hazard, CCTEG Xi'an Research Institute (Group) Co., Ltd., Xi'an Shaanxi 710077, China
  • Received:2024-12-20 Revised:2025-02-18 Published:2025-04-28

摘要:

为有效提升煤矿水害事故综合防治能力,利用复杂网络与鲁棒性分析方法探寻事故关键致因。根据近40年国内发生的111起典型煤矿水害案例报告,构建煤矿水害无权有向网络,计算网络不同尺度下度数、聚类系数、中介中心性等各致因权重,挖掘关键致因,评估3种不同策略下蓄意攻击对致因网络模型的破坏,寻求系统性防治的最优解。研究结果表明:煤矿水害致因网络具有小世界特性,致因间关联紧密;按度数排列攻击对网络破坏最大,相应关键致因包括组织工人进行冒险作业、未落实防治水技术管理责任、未按照要求开展探放水工作、违法违规组织生产作业、安全管理机构不健全、隐患排查工作不到位、煤矿安全监管监察工作存在漏洞、上级单位未履行安全管理职责。

关键词: 煤矿水害事故, 致因网络, 复杂网络, 聚类系数, 规避措施

Abstract:

In order to effectively improve the comprehensive prevention and control ability of coal mine water disaster accidents, the complex network and robustness analysis method were used to explore the key causes of accidents. According to the report of 111 typical coal mine water disaster cases in China in the past 40 years, an unweighted directed network of coal mine water disaster was constructed. The weights of each cause, such as degree, clustering coefficient and betweenness centrality at different scales of the network were calculated, and the key causes were excavated. The damage of intentional attack to the cause network under three different strategies was evaluated, and the optimal solution of systematic prevention and control was sought. The results show that the coal mine water disaster cause network has the characteristics of small world, and the causes are closely related. The attack ranked by degree has the greatest damage to the model. The corresponding key causes include organizing workers to carry out risky operations, failing to implement the management responsibility of water prevention and control technology, failing to carry out water exploration and drainage work as required, illegal organization of production operations, imperfect safety management institutions, inadequate hidden danger investigation, loopholes in coal mine safety supervision and supervision, and failure of higher-level units to perform safety management responsibilities.

Key words: coal mine water hazard accidents, causal networks, complex networks, clustering coefficient, avoidance measures

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