基于知识图谱的智能船舶技术研究现状及发展趋势分析

On Research Status and Development Trend of Intelligent Ship Technology Based on Knowledge Graph

智能船舶技术已成为全球航运业和造船业的研究热点之一。基于文献计量学引文分析原理及知识图谱理论,以“Web of Science”数据库中218篇相关文献为研究对象,利用CiteSpace软件绘制作者共被引知识图谱、机构共被引知识图谱、共词聚类知识图谱及关键词突现等,可视化呈现国内外智能船舶技术的研究现状及发展趋势。研究结果显示,国内外学者均已对智能船舶技术开展了全方位、多角度、多层面的研究,未来研究趋势将以理论结合实证研究为主,并更偏向于跨学科研究;当前研究热点包括智能感知、无线传感器、信息技术、通信技术、多源数据融合技术、电子导航技术、碰避技术、路径优化技术、跟踪技术和实时监控维护技术;未来研究需着重从通信技术、互联网技术、物联网技术、信息技术、人工智能大数据技术等入手进行拓展和优化,进而提高船舶的自主避碰、自主靠离泊和远程无人驾驶能力。

Intelligent ship technology has become one of the hot issues in current global shipping and shipbuilding industries.In this paper,based on citation analysis principle of bibliometrics and theory of knowledge graph,218 literatures related to intelligent ship technology from 2010 to 2020 from"Web of Science(WoS)"were used as data,and CiteSpace softwarewas used to draw co-cited author knowledge graph,co-cited institutionknowledge graph,common word clustering knowledge graph and keyword emergence,so as to visually present the research status and development trend of intelligent ship technology at home and abroad.Research findings are as follows.Domestic and foreign scholars have carried out all-round,multi-angle and multi-level research on intelligent ship technology.The future research trend is to combine theory with empirical research,being more inclined to interdisciplinary research.The current research hotspots include intelligent perception,wireless sensors,information technology,communication technology,multi-source data fusion technology,electronic navigation technology,collision avoidance technology,path optimization technology,tracking technology,real-time monitoring and maintenance technology.When studying intelligent ship technology in the future,researchers should focus on communication technology,Internet technology,Internet of Things technology,information technology,artificial intelligence big data technology,etc.,for research and exploration as well as optimization,so as to improve ships′ability of autonomous collision avoidance,autonomous berthing and unberthing and long-distance unmannednavigation.