基于大数据分析的AIS虚拟航标布设技术  

Virtual navigation aid deployment technology by AIS based on big data analysis

作　　者：李峰 曾乐 刘斌 蔡昊 施勤 林治家 郝江凌[2] LI Feng;ZENG Le;LIU Bin;CAI Hao;SHI Qin;LIN Zhijia;HAO Jiangling(Changjiang Shanghai Waterway Division,Shanghai 200080,China;Dalian Maritime University,Dalian 116026,China)

机构地区：[1]长江上海航道处,上海200080 [2]大连海事大学,辽宁大连116026

出　　处：《水运工程》2023年第11期173-179,共7页Port & Waterway Engineering

摘　　要：为了进一步改善长江下游重点航段的航标布设方案和航路航法,完善通航环境,探索一种基于大数据分析辅助船舶自动识别系统(AIS)虚拟航标布设优化的方法,并以密集港区临港侧航道、深水复合航道和主航道到港口“最后一公里”航道为例进行应用分析。结果表明,基于电子航道图,针对船舶交通流的船舶轨迹回放、碰撞危险度分析、船舶轨迹线分析、航道门线分析和船舶航标间距分析等方法能够以可视化的手段有效地找到航标布设方案的薄弱位置,为AIS虚拟航标的增设优化提供有力的数据支撑。To further develop the navigation aid deployment plan and navigation route and method for key sections of the downstream of the Yangtze River,and improve the navigation environment,we explore a method to optimize the virtual navigation aid deployment by automatic identification system(AIS)based on big data analysis,and take the port side channel,deep-water composite channel and“last kilometer”channel from main channel to port as examples to conduct application analysis.The results show that based on the electronic nautical chart,the methods of ship trajectory playback,collision risk analysis,ship trajectory line analysis,channel gate line analysis and distance analysis between ship and buoy for ship traffic flow can effectively find the weak position of the navigation aid deployment scheme by visual means,and provide strong data support for the deployment and optimization of the virtual navigation aid by AIS.

关 键 词：船舶大数据 AIS 虚拟航标布设 船舶交通流分析 

分 类 号：U644.3[交通运输工程—船舶及航道工程]