基于航迹数据的耙吸挖泥船施工轨迹的识别  

Identification of working trajectory of trailing suction hopper dredger based on trajectory data

作　　者：徐婷 戴文伯 张晴波 周雨淼 XU Ting;DAI Wen-bo;ZHANG Qing-bo;ZHOU Yu-miao(CCCC National Engineering Research Center of Dredging Technology and Equipment Co.,Ltd.,Shanghai 201208,China)

机构地区：[1]中交疏浚技术装备国家工程研究中心有限公司,上海201208

出　　处：《中国港湾建设》2022年第10期1-5,共5页China Harbour Engineering

基　　金：国家重点研发计划资助项目(2017YFC0805309)。

摘　　要：针对耙吸挖泥船在监控管理方面存在着视野局限、成本高、效率低下等问题,进行了耙吸挖泥船轨迹聚类算法研究,首次提出以公开的航迹数据为基础,设计了分层多次聚类算法,解决了多参数一次聚类权重设置困难的问题,实现了耙吸挖泥船轨迹快速聚类。结果表明,该方法合理可行,能够快速有效辨识出耙吸挖泥船轨迹类别。研究成果可应用于耙吸船异常轨迹识别、施工监控管理、重大水上交通工程分析等领域中。Aiming at the problems of view limitation,high cost and low efficiency in the monitoring and management of TSHD,the trajectory clustering algorithm for TSHD is studied.This paper proposes a hierarchical multi-clustering algorithm based on the public trajectory data for the first time,which solves the difficulties in setting the weight of multiple parameters at one time and realizes a fast trajectory clustering of TSHD.The results show that the method is reasonable and feasible,and can quickly and effectively identify the trajectories of TSHD.The research results may be applied to the identification of abnormal trajectories of TSHD,monitoring and management of the operations of TSHD,and the analysis of major waterway engineering and works.

关 键 词：耙吸挖泥船 分层多次聚类 航迹聚类 船舶监控 

分 类 号：U615.351.2[交通运输工程—船舶及航道工程]