内河远程控制船舶的云岸船协同计算建模  

Cloud-shore-ship collaborative computing modeling for inland river remote control ships

作　　者：陈华龙 文元桥[2,3] 黄亚敏[2,3] 肖长诗[1,3] CHEN Hualong;WEN Yuanqiao;HUANG Yamin;XIAO Changshi(School of Navigation,Wuhan University of Technology,Wuhan 430063,China;Intelligent Transportation Systems Research Center,Wuhan University of Technology,Wuhan 430063,China;National Engineering Research Center for Water Transport Safety,Wuhan University of Technology,Wuhan 430063,China)

机构地区：[1]武汉理工大学航运学院,湖北武汉430063 [2]武汉理工大学智能交通系统研究中心,湖北武汉430063 [3]武汉理工大学国家水运安全工程技术研究中心,湖北武汉430063

出　　处：《华中科技大学学报（自然科学版）》2022年第5期53-58,共6页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家自然科学基金青年基金资助项目(52001241,52001237);浙江省科技计划资助项目(2021C01010).

摘　　要：基于内河通航环境特征,以远程控制船舶为研究对象,针对船岸协同环境下的智能船舶远程控制系统的高效计算需求,提出内河远程控制船舶的云-岸-船协同架构和协同计算模型.对远程控制系统进行层级和功能域的划分,确立了以船端、岸端边缘控制器为核心的边缘计算组,作为系统协同计算的基本单元.通过信息关联矩阵将船端、岸端和云端信息进行关联,实现云-岸-船间的高效协同计算.仿真结果表明:与传统远程控制船舶直连式架构相比,该协同计算模型的网络信息传输路径降低46%,平均时延降低43%,能有效降低远程控制端计算负载,平衡系统计算资源,实现内河远程控制船舶的云-岸-船高效信息协同处理.Based on the characteristics of the inland river navigation environment and taking remote control ships as the research object,the cloud-shore-ship collaborative architecture and collaborative computing model of inland river remote control ships were proposed for the efficient computing demand of intelligent ship remote control systems in a ship-shore collaborative environment.The remote control system was divided into layers and functional domains,the edge computing group with the edge controller at the ship side and shore side as the core was established as the basic unit of the system collaborative computing.The information at the ship,shore,and cloud sides was correlated through the information correlation matrix to realize the efficient collaborative computing between cloud-shore-ship.Simulation results show that compared with the traditional remote control ship with direct-connected architecture,the network information transmission path of this collaborative computing model is reduced by 46%,and the average time delay is reduced by 43%,which can effectively reduce the computing load at the remote control side,and balance the system computing resources,realizing the efficient information collaborative processing of cloud-shore-ship for inland river remote control ships.

关 键 词：水上交通 智能船舶 信息系统建模 协同计算 远程控制 

分 类 号：U662.9[交通运输工程—船舶及航道工程]