船舶航迹数据采集与可视化在海上搜救中的应用  

Application of ship track data collection and visualization in maritime search and rescue

作　　者：刘雅奇 史誉洲 曹石勇 LIU Ya-qi;SHI Yu-zhou;CAO Shi-yong(Jiangsu shipping College,Nantong 226010,China;Jiangsu Ocean University,Lianyungang 222000,China)

机构地区：[1]江苏航运职业技术学院,江苏南通226010 [2]江苏海洋大学,江苏连云港222000

出　　处：《舰船科学技术》2023年第18期166-169,共4页Ship Science and Technology

基　　金：江苏省高等学校基础科学(自然科学)研究面上项目(22KJD580002)。

摘　　要：船舶安全航行对船舶运输具有非常重要的作用。船舶航迹数据采集能够有效获取船舶的动态时刻、航向、航速、经纬度以及船舶基本信息,可视化技术可以将这些航迹数据快速展现,并结合LSTM算法对船舶的航迹进行预测。本文对船舶航迹数据搜集、多源数据融合进行研究,在航迹预测中,对数据进行初步处理,包括删除异常数据、拉格朗日插值等。最后建立航迹数据可视化系统,具有航迹数据可视化以及航迹数据预测的功能,本文建立的船舶航迹数据可视化系统能够有效提升海上搜救效率。The safe navigation of ships plays a very important role in ship transportation.Ship track data collection can effectively obtain the dynamic moment,heading,speed,latitude and longitude and basic information of the ship,and the visualization technology can quickly display these track data,and combine the LSTM algorithm to predict the trajectory of the ship.In this paper,the collection of ship track data and multi-source data fusion are studied,and the data are preliminar-ily processed in the trajectory prediction,including deletion of abnormal data and Lagrange interpolation.Finally,a track data visualization system is established,which has the functions of track data visualization and track data prediction,and the ship track data visualization system established in this paper can effectively improve the efficiency of maritime search and rescue.

关 键 词：航迹数据 可视化 LSTM 航迹预测 

分 类 号：U667.65[交通运输工程—船舶及航道工程]