中国安全科学学报 ›› 2025, Vol. 35 ›› Issue (9): 159-166.doi: 10.16265/j.cnki.issn1003-3033.2025.09.0178

• 安全工程技术 • 上一篇    下一篇

基于云模型的大雾中船舶靠泊作业风险评估

秦庭荣1(), 张小静1, 罗平平1, 吴志炫1, 桂宇翔2, 席永涛1   

  1. 1 上海海事大学 商船学院,上海 201306
    2 上海海事大学 海洋科学与工程学院,上海 201306
  • 收稿日期:2025-04-14 修回日期:2025-07-08 出版日期:2025-09-28
  • 作者简介:

    秦庭荣 (1976—),男,安徽和县人,博士,讲师,主要从事船舶风险评估、智能船舶、航运大数据等方面的研究。E-mail:

    席永涛 教授

  • 基金资助:
    国家自然科学基金资助(52372316)

Risk assessment of ship berthing operations in heavy fog based on cloud model

QIN Tingrong1(), ZHANG Xiaojing1, LUO Pingping1, WU Zhixuan1, GUI Yuxiang2, XI Yongtao1   

  1. 1 Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China
    2 College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, China
  • Received:2025-04-14 Revised:2025-07-08 Published:2025-09-28

摘要:

为减少雾中船舶靠泊事故的发生,构建一套基于云模型的大雾中船舶靠泊作业风险可视化评估架构。在该评估架构中,首先,建立包含靠泊相关人员、船舶、泊位及环境4个维度的综合风险评估指标体系;其次,基于层次分析法(AHP)与决策试验和评价试验法(DEMATEL)相结合的方法计算各评估指标的综合影响权重;然后,针对靠泊过程中风险的不确定性,引入云模型量化评估大雾中船舶靠泊的风险;最后,将该评估架构应用于上海港外高桥集装箱码头的4种靠泊作业场景。研究结果表明:泊位的前后留挡距离指标、引航员雾中靠泊水平指标以及泊位导标或导灯的示位效果指标对大雾中船舶靠泊作业风险等级影响较大;该风险评估模型可准确评估并可视化不同场景下的靠泊作业风险,保障船舶的全天候靠泊作业,提升港口的货物吞吐量。

关键词: 云模型, 大雾中船舶, 靠泊作业, 风险评估, 层次分析法(AHP), 决策试验和评价试验(DEMATEL)方法

Abstract:

To mitigate the occurrence of berthing accidents in fog, this study constructed a cloud model-based visual risk assessment framework for ship berthing operations under dense foggy conditions. Within this framework, a comprehensive risk assessment index system was first established, encompassing four dimensions: personnel involved in berthing, vessel characteristics, berth facilities, and environmental conditions. Subsequently, the combined AHP and DEMATEL method was employed to calculate the integrated influence weights of each assessment indicator. To address the uncertainty inherent in berthing risks, the cloud model was introduced to quantify the risks associated with foggy berthing operations. Finally, the proposed framework was applied to evaluate four typical berthing scenarios at the Waigaoqiao Container Terminal of Shanghai Port. The results demonstrate that the marine clearance (fore and aft distance) at the berth, the proficiency of pilots in foggy berthing operations, and the positioning effectiveness of berth leading marks or lights significantly influence the risk levels of ship berthing in fog. This risk assessment model accurately evaluates and visually represents berthing risks across different scenarios. It thus holds substantial importance for ensuring all-weather berthing operations and enhancing port cargo throughput capacity.

Key words: cloud model, ships in heavy fog, berthing operations, risk assessment, analytic hierarchy process (AHP), decision-making trial and evaluation laboratory (DEMATEL) method

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