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作 者:张复宪 屈斌 周溪召[1] ZHANG Fu-xian;QU Bin;ZHOU Xi-shao(Shanghai Maritime University,Shanghai 201306,China;Shanghai China Communications Water Transportations Design and Research Co.,Ltd.,Shanghai 200082,China)
机构地区:[1]上海海事大学,上海201306 [2]上海中交水运设计研究有限公司,上海200082
出 处:《水运工程》2021年第9期142-146,共5页Port & Waterway Engineering
摘 要:针对上海港公共航道维护保障中存在的“点多、线长、面广”、维护作业安全风险高等难题,采用现场调研、理论建模及系统研发,对航道维护保障智慧管理关键技术进行研究。提出基于AIS轨迹数据的船舶作业异常实时检测方法,实现对于航道维护保障全过程“一图全面感知、一键可知全局”的目标。研究成果在上海港洋山港区、外高桥港区、罗泾港区等港区的公共航道维护保障中得到全面应用,经济和社会效益显著,应用前景广阔。Aiming at the problems of“many points,long lines,wide areas”,high safety risks in maintenance operations of the public channel of the Shanghai Port,we use on-site investigation,theoretical modeling,and system development to carry out the key technology research on the intelligent management of the channel maintenance and support,and propose a method of abnormal real-time detection of ship operation based on AIS data,which can realize the goal of“one picture full perception,one-click whole situation”for the whole process of channel maintenance and support.The result is fully applied in Yangshan Port,Waigaoqiao Port,Luojing Port and other public channel maintenance and support in Shanghai Port.This method has significant economic and social benefits and broad prospect for promotion and application.
分 类 号:U616[交通运输工程—船舶及航道工程]
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