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作 者:苏树恒 刘心雨 孙凯 Su Shu-heng;Liu Xin-yu;Sun Kai(Tianjin Navigation Instrument Research Institute,Tianjin 300120,China;China Ship Research and Design Center,Wuhan 460000,Hubei Province,China)
机构地区:[1]天津航海仪器研究所,天津300120 [2]中国舰船研究设计中心,湖北武汉460000
出 处:《科学与信息化》2024年第12期88-92,共5页Technology and Information
摘 要:船舶航海导航领域存在大量的多源异构数据无法被机器有效利用,导致人机协同决策困难。为发展辅助决策工具,解决智能船舶人机协同决策困难问题,在对航海导航辅助决策所面临问题进行分析的基础上,提出基于知识图谱技术实现环境信息的融合方法,并完成了航海导航领域知识图谱模式层及数据层的构建。所做研究可为船舶航海导航实现智能辅助决策提供方法参考,具备较高的应用价值。There are a large number of multi-source heterogeneous data in the field of ship marine navigation that cannot be effectively used by machines,which leads to the difficulty of human-machine collaborative decision-making.In order to develop auxiliary decision-making tools and solve the difficult problem of human-machine collaborative decision-making of intelligent ships,on the basis of the analysis of the problems faced by marine navigation auxiliary decision-making,a method based on knowledge graph technology to realize the fusion of environmental information is proposed,and the construction of knowledge graph model layer and data layer in the field of marine navigation is completed.The research can provide a method reference for the realization of intelligent auxiliary decision-making in ship marine navigation,and has high application value.
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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