中国安全科学学报 ›› 2025, Vol. 35 ›› Issue (12): 53-63.doi: 10.16265/j.cnki.issn1003-3033.2025.12.1201

• 安全工程技术 • 上一篇    下一篇

面向智能航行船舶的触碰事故致因与防控对策研究

付姗姗1(), 吴宁及1, 蔡杜皆1, 范存龙1, 韩冰2,**()   

  1. 1 上海海事大学 交通运输学院, 上海 201306
    2 上海船舶运输科学研究所有限公司, 上海 200135
  • 收稿日期:2025-08-08 修回日期:2025-10-22 出版日期:2025-12-27
  • 通信作者:
    ** 韩冰(1981—),男,吉林吉林人,博士,研究员,主要从事船舶运动控制和安全风险辨识研究。E-mail:
  • 作者简介:

    付姗姗 (1987—),女,湖北武汉人,博士,教授,主要从事水上交通风险防控与韧性提升、极地水域船舶航行安全等方面的研究。E-mail:

    范存龙 讲师

  • 基金资助:
    国家自然科学基金资助(52271363); 国家自然科学基金资助(52301419); 上海市优秀学术技术带头人项目(23XD1431000); 上海市青年科技启明星计划(22QC1400600)

Study on causation of contact accidents and its prevention and control measures for autonomous ships

FU Shanshan1(), WU Ningji1, CAI Dujie1, FAN Cunlong1, HAN Bing2,**()   

  1. 1 College of Transport and Communications, Shanghai Maritime University, Shanghai 201306, China
    2 Shanghai Ship and Shipping Research Institute, Shanghai 200135, China
  • Received:2025-08-08 Revised:2025-10-22 Published:2025-12-27

摘要:

为保障智能航行船舶的安全运行,基于触碰事故调查报告以及智能船舶国内外相关文献,采用系统理论过程分析(STPA)、决策试验与评价实验室法(DEMATEL)和模糊认知图(FCM)模型分析智能航行船舶触碰事故的风险成因,评估码头水域靠离泊和桥区水域通航2种情景的智能船舶触碰风险水平,并在此基础上提出防控对策。结果表明:在靠离泊过程中,智能航行船舶面临着感知不准确、信息传输中断等10类主要风险;在通过桥区过程中,存在感知盲区、决策失误等 9类关键风险。沟通协作不足、风力/水流干扰显著等因素是智能航行船舶触碰事故的关键诱因,这些因素涉及船舶感知、决策、控制、通信等关键控制行为,不同因素间还存在复杂的耦合放大效应;防控对策包括完善船岸数据交换协议与联合演练、集成多源传感器与机器学习算法、制定人机权限切换预案、采用虚拟现实(VR)、增强现实(AR)技术开展沉浸式应急培训等。

关键词: 智能航行船舶, 触碰事故致因, 系统理论过程分析(STPA), 决策试验与评价实验室法(DEMATEL), 模糊认知图(FCM)

Abstract:

In order to ensure the safe operation of autonomous ships, it is necessary to deeply analyze the risk factors of contact accidents and formulate targeted safety prevention and control strategies. Based on the contact accident investigation reports and international literature on autonomous ships, this paper adopts systems theoretic process analysis, the decision-making trial and evaluation laboratory method and the fuzzy cognitive map model to analyze the risk causes of contact accidents for autonomous ships from multiple perspectives, and assess the risk level of two typical accident scenarios, namely, berthing/unberthing in port waters and navigating through bridge areas, and base on this, propose corresponding prevention and control measures. The results show that during the port waters, autonomous ships face ten types of key risks such as inaccurate perception and interrupted information transmission and during the bridge areas, there are nine types of key risks such as perceptual blindness and decision-making errors. And insufficient communication and collaboration, significant wind/current interference and other factors are the key triggers of contact accidents for autonomous ships. These factors involve the key control behavior of perception, decision-making, control and communication of autonomous ships, and there is also a complex coupling and amplification effect among different factors. Finally, prevention and control measures are proposed, including improving the ship-shore data exchange protocol and joint exercise mechanism, integrating multi-source sensors and machine learning algorithms, developing a plan for human-machine permission switching, and using VR/AR technology to conduct immersive emergency training.

Key words: autonomous ships, contact accidents, systems-theoretic process analysis (STPA), decision making trial and evaluation laboratory (DEMATEL), fuzzy cognitive map (FCM)

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