船舶进出港未报告行为识别技术方案  

A Technical Solution for Detecting Ships Violating the ReportRequirements of the Provision of Ships Entry and Departure

作　　者：姚涛 YAO Tao(COSCO SHIPPING Technology Co.,Ltd.,Shanghai 200135,China)

机构地区：[1]中远海运科技股份有限公司,上海200135

出　　处：《上海船舶运输科学研究所学报》2024年第4期44-49,共6页Journal of Shanghai Ship and Shipping Research Institute

摘　　要：根据法规的要求,船舶进出港时需在规定的时间内向海事机构报告进出港信息。为识别船舶不按规定的时间报告进出港信息的行为,规避船舶靠离泊过程中的不安全因素,提高海事执法人员的监管效率,开展船舶进出港未报告行为识别技术研究。基于Flink流式数据引擎识别船舶靠离泊行为,结合海事进出港报告系统数据判断船舶进出港时是否按要求在规定的时间内进行进出港申报。该技术已在某海事信息化平台中应用,并已成功识别出相关违规船舶。应用结果表明,该技术能识别船舶进出港未报告行为,特别是未按规定的时间报告的行为,能显著提升进出港报告管理中的海事监管效率。The provision of Ships Entry and Departure issued by China Port authority requires a ship to report its entry/departure plan in specified time.In order to detect ships who fail to follow the regulations a technical solution is devised.The streaming data processing engine Apache Flink is used to check ships’berthing/unberthing operation against the ships’reporting data and find the ships who did not report its plan in specified time.An alarm will be announced if such a ship is found.The design has been used in a maritime information platform and worked well.

关 键 词：进出港报告 大数据 靠离泊 海事监管 

分 类 号：U692.4[交通运输工程—港口、海岸及近海工程]