为研究内河船舶远程驾控可行性,研发了基于4G/5G网络的内河船舶远程驾驶控制系统,在受限可控水域利用缩尺船模与实船开展远程驾控测试,检验了航向保持、路径跟随等自动驾驶模式,测试了网络时延、数据丢包率、驾驶员关注度等指标,结果表明缩尺船模及实船在远程驾控条件下可以实现精确的航向保持、路径跟随控制,网络时延约为1~1.7 s,数据丢包率约为0.25%~0.32%,驾驶员的关注度集中在航行态势显示、舵角控制等关键助导航信息上。证明了基于4G/5G网络的船舶远程驾控具有可行性,其中网络时延、丢包率、驾驶员关注度测量方法可用于实船远程驾控。
To study the feasibility of remote control for inland vessels, a remote driving control system based on 4G/5G networks was developed. Tests were conducted using scaled ship models and actual vessels in restricted water area to evaluate autonomous navigation modes such as course keeping and path following. Key metrics including network latency (1~1.7 s), data packet loss rate (0.25%~0.32%), and driver attention (focused on critical navigation displays and rudder control) were measured. The results demonstrated that both scaled models and actual vessels achieved precise course keeping and path following under remote control, confirming the feasibility of 4 G/5 G-based remote control of ships. The measurement methods for latency, packet loss, and driver attention are applicable to real-world remote vessel control.
2026,48(4): 148-154 收稿日期:2025-6-10
DOI:10.3404/j.issn.1672-7649.2026.04.023
分类号:U663
基金项目:国家重点研发计划项目(2023YFB4302300)
作者简介:赵晏(1969-),男,研究方向为船舶检验、规范科研
参考文献:
[1] 严新平. 内河新一代航运系统构建的思考[J]. 中国水运, 2021 (5): 6-8.
YAN X P. Reflections on constructing the next generation inland waterway shipping system[J]. China Water Transport, 2021 (5): 6-8.
[2] WRÓBEL K, MONTEWKA J, KUJALA P. Towards the assessment of potential impact of unmanned vessels on maritime transportation safety[J]. Reliability Engineering & System Safety, 2017, 165: 155-169.
[3] KARI R , GAUSDAL A H , STEINERT M . EEG based workload and stress assessment during remote ship operations[J]. TransNav: International Journal on Marine Navigation & Safety of Sea Transportation, 2022, 16(2): 295–305.
[4] 张浦哲, 吴兵, 严新平, 等. 内河船舶远程驾驶控制系统安全分析[J]. 中国安全科学学报, 2022, 32(8): 126-132.
ZHANG P Z, WU B, YAN X P, et al. Safety analysis for remote control system of inland ships[J]. China Safety Science Journal, 2022, 32(8): 126-132.
[5] 张雨婷, 徐立新, 曹林, 等. 智能船舶的技术发展现状与展望[J]. 船舶工程, 2023, 45(S1): 185-192.
ZHANG Y T, XU L X, CAO L, et al. Technological development status and prospect of intelligent ships[J]. Ship Engineering, 2023, 45(S1): 185-192.
[6] 王远渊, 刘佳仑, 马枫, 等. 智能船舶远程驾驶控制技术研究现状与趋势[J]. 中国舰船研究, 2021, 16(1): 18-31.
WANG Y Y, LIU J L, MA F, et al. Review and prospect of remote control intelligent ships[J]. Chinese Journal of Ship Research, 2021, 16(1): 18-31.
[7] 马勇, 王雯琦, 严新平. 面向新一代航运系统的船舶智能航行技术研究进展[J]. 中国科学: 技术科学, 2023, 53: 1795-1806.
MA Y, WANG W Q, YAN X P. Research progress of vessel intelligent navigation technology for the new generation of waterborne transportation system[J]. Scientia Sinica Technologica, 2023, 53: 1795-1806.
[8] 孙宁, 李丽娜, 郑茂, 等. 自航试验船模通用控制系统设计与实现[J]. 实验技术与管理, 2022, 39(9): 132-139.
SUN N, LI L N, ZHENG M, et al. Design and implementation of general control system for scaled ship model in free-running tests[J]. Experimental Technology and Management, 2022, 39(9): 132-139.
[9] 彭国金, 王建军, 刘熳婷. 一种飞行试验AFDX航电系统的采集网络时延测试方法[J]. 测控技术, 2016, 35(4): 98-100,105.
PENG G J, WANG J J, LIU M T. A testing method of measuring time delay caused by data acquiring network for the flight test AFDX avionic system[J]. Measurement & Control Technology, 2016, 35(4): 98-100, 105.
[10] 史春腾, 王文峰. 自组织网络性能丢包率测试方法研究[J]. 中国标准化. 2022(24): 205–209.
SHI C T, WANG W F. Research on measurement method of packet loss rate in ad hoc network performance[J]. China Standardization, 2022(24): 205–209.
[11] 贺世明, 杜志刚, 韩磊, 等. 城市隧道分流区驾驶人注视行为特性研究[J]. 武汉理工大学学报(交通科学与工程版), 2022, 46(2): 230-234, 241.
HE S M, DU Z G, HAN L, et al. Research on the characteristics of drivers’ gaze behavior in the diversion area of urban tunnels[J]. Journal of Wuhan University of Technology(Transportation Science & Engineering), 2022, 46(2): 230-234, 241.