主管:中华人民共和国应急管理部
主办:应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU

消防科学与技术 ›› 2026, Vol. 45 ›› Issue (9): 25-31.

• • 上一篇    下一篇

基于DEMATEL-AISM的气态氢储运过程风险影响因素研究

闫军, 王皓冬, 赵敏, 张万新   

  1. (兰州交通大学 交通运输学院,甘肃 兰州 730070)
  • 收稿日期:2025-05-21 修回日期:2025-06-25 出版日期:2026-09-15 发布日期:2026-09-15
  • 作者简介:闫军,兰州交通大学交通运输学院,教授级高工,主要从事物流与供应链管理专业方面的研究,甘肃省兰州市安宁区安宁西路88号,730070,yanjun444@126.com。
  • 基金资助:
    国家自然科学基金项目(71861023);甘肃省科技计划项目(25JRZA111)

Research on risk influencing factors of gaseous hydrogen storage and transportation process based on DEMATEL-AISM

Yan Jun, Wang Haodong, Zhao Min, Zhang Wanxin   

  1. (School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou Gansu 730070, China)
  • Received:2025-05-21 Revised:2025-06-25 Online:2026-09-15 Published:2026-09-15

摘要: 针对气态氢储运过程中的风险及其影响因素,参考HAID、H2Tools等4大氢事故数据库中2000-2024年气态氢储运典型案例,从制氢、储氢、运氢、加氢、用氢5个环节筛选出24个关键风险影响因素。通过Apriori算法挖掘关联规则,通过DEMATEL计算各因素中心度与原因度并绘制影响因素因果关系散点图,揭示气态氢储运过程风险的关键原因因素与核心结果因素;结合AISM对抗拓扑层级图,揭示气态氢储运过程的三层九级风险传导路径,发现4组强关联回路;构建MICMAC驱动力-依赖度矩阵,验证了AISM拓扑层级结果的有效性。研究结果表明,制氢环节的影响因素具有较强的驱动特性,不仅直接作用于后续环节,还可能通过复杂的因果链间接影响更下游的风险因素;加氢与用氢环节的影响因素更多地呈现在结果层,更容易受到上游环节的影响;储氢与运氢环节既承载来自上游的风险传导,又驱动着下游环节的风险,应予以高度重视。

关键词: 气态氢储运风险, 影响因素, Apriori, DEMATEL, AISM, MICMAC

Abstract: To study the risks and influencing factors in the process of gaseous hydrogen storage and transportation, referring to the typical cases of gaseous hydrogen storage and transportation in 2000-2024 from the four major hydrogen accident databases such as HAID and H2Tools, 24 key risk influencing factors were screened out from the five links of hydrogen production, hydrogen storage, hydrogen transportation, hydrogen refueling and hydrogen use. The Apriori algorithm was used to mine the association rules, DEMATEL was used to calculated the centrality and causality of each factor and drew a scatter plot of the causality of the influencing factors, revealing the key causal factors and core outcome factors of the risk in the process of gaseous hydrogen storage and transportation; Combined with the AISM adversarial topological hierarchy, the three-layer and nine-level risk transmission paths of the gaseous hydrogen storage and transportation process are revealed, and four groups of strongly correlated loops are found; The MICMAC driver-dependency matrix is constructed to verify the validity of the AISM topology hierarchy results. Results showed that the influencing factors of hydrogen production have strong driving characteristics, which not only directly affect the subsequent links, but also indirectly affect the downstream risk factors through the complex causal chain; The influencing factors of hydrogen refueling and hydrogen consumption are more present in the fruiting layer and are more likely to be affected by upstream links; The hydrogen storage and hydrogen transportation links not only carry the risk transmission from the upstream, but also drive the risks of the downstream link, which should be paid great attention to.

Key words: hydrogen storage and transportation risks, influencing factors, Apriori, DEMATEL, AISM, MICMAC