基于海事大数据的船舶综合风险评价和船旗国检查选船标准优化研究  

Research on Ship Comprehensive Risk Assessment and Optimization of Flag State Inspection and Ship Selection Standards Based on Maritime Big Data

作　　者：张帆[1,2,3] 范文红 黄亮 俞磊 刘浩[5] 彭鹏飞 ZHANG Fan;FAN Wenhong;HUANG Liang;YU Lei;LIU Hao;PENG Pengfei(School of Navigation,Wuhan University of Technology,Wuhan 430063,China;National Engineering Research Center for Transport Safety,Wuhan 430063,China;Hubei Key Laboratory of Inland Waterway Shipping Technology,Wuhan 430063,China;Intelligent Transportation System Research Center,Wuhan University of Technology,Wuhan 430063,China;Shenzhen Maritime Administration,Shenzhen 518031,China)

机构地区：[1]武汉理工大学航运学院,武汉430063 [2]国家水运安全工程技术研究中心,武汉430063 [3]内河航运技术湖北省重点实验室,武汉430063 [4]武汉理工大学智能交通系统研究中心,武汉430063 [5]深圳海事局,深圳518031

出　　处：《武汉理工大学学报（交通科学与工程版）》2022年第5期938-942,共5页Journal of Wuhan University of Technology（Transportation Science & Engineering）

摘　　要：在现行船旗国安全检查选船标准中,缺乏对船舶动态风险的评估,且船舶风险值差异较小.文中基于海事大数据,采用FP-Tree关联规则算法分析船舶风险因素的关联性,挖掘出对船舶安全影响较大的风险因素.并在现行选船标准的基础上,新增了船舶动态风险因素评价指标,构建船舶综合风险评价体系,综合动、静态风险分值和时间窗口全面评估船舶检查优先等级,达到优化船旗国检查选船方法的目的.通过实验验证,基于综合风险评价模型的船舶安全检查选船方法识别必检船的准确性提升了9.06%.In the current standard of ship selection for flag state safety inspection, there is a lack of assessment of ship dynamic risk, and the difference of ship risk value is small. Based on maritime big data, FP-Tree association rule algorithm was used to analyze the correlation of ship risk factors, and the risk factors that have great impact on ship safety were excavated. On the basis of the current ship selection standard, an evaluation index of ship dynamic risk factors was added, and a comprehensive ship risk evaluation system was constructed. By integrating the dynamic and static risk scores and time windows, the priority level of ship inspection can be comprehensively evaluated, and the purpose of optimizing the method of ship selection for flag state inspection can be achieved. Through the experimental verification, the accuracy of ship selection method for ship safety inspection based on comprehensive risk assessment model to identify the ships that must be inspected is improved by 9.06%.

关 键 词：海事大数据 船旗国安全检查 选船标准 FP-TREE 综合风险评价体系 

分 类 号：U692.1[交通运输工程—港口、海岸及近海工程]