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作 者:张可军 黄华平[1] 刘畅 ZHANG Kejun;HUANG Huaping;LIU Chang(China Railway Eryuan Engineering Group Co.,Ltd.,Chengdu 610031,China)
机构地区:[1]中铁二院工程集团有限责任公司,成都610031
出 处:《高速铁路技术》2024年第6期44-50,共7页High Speed Railway Technology
摘 要:随着铁路信息化的快速发展,虚拟现实(VR)技术在铁路场景建模与信息管理中愈加重要。面向智能化、精准化的铁路信息管理,提出一种针对铁路VR场景的知识图谱表示与动态更新方法。首先,梳理铁路VR场景关键要素概念与要素之间的复杂关联关系,自顶向下构建模式层、自底向上构建数据层抽取知识并对知识进行关联融合,通过属性图进行知识表示;然后,设计一种以知识质量评估指标为核心的自主循环优化的知识图谱动态更新框架,提升铁路VR场景知识建模效率和信息实时性;最后,以某新建铁路桥梁工程场景为例构建实例知识图谱,实现设计数据变化监测的知识图谱动态更新,实时反映场景状态变化。应用实例表明,该方法能有效提高场景建模的准确性和信息管理的响应速度,为铁路信息化建设和复杂系统信息管理提供了新的技术支持。With the rapid advancement of railway informatization,Virtual Reality(VR)technology has become crucial in railway scenario modeling and information management.To enhance the intelligence and precision of railway information management,this study proposed a knowledge graph representation and dynamic update method tailored for railway VR scenarios.Initially,the key elements and complex relationships within railway VR scenarios were identified,enabling the top-down construction of a schema layer and the bottom-up extraction and integration of knowledge within a data layer,which is then represented using property graphs.Subsequently,a dynamically updating framework was designed,centered around knowledge quality evaluation metrics,to autonomously optimize the knowledge graph,thereby improving the efficiency of knowledge modeling and real-time information management in railway VR scenarios.Finally,the proposed method was exemplified through a case study of a newly constructed railway bridge project,where the knowledge graph is dynamically updated to monitor changes in design data,reflecting real-time scenario state changes.The application results demonstrate that this method effectively enhances the accuracy of scenario modeling and the responsiveness of information management,providing innovative technical support for railway informatization and complex system information management.
关 键 词:VR场景 知识图谱 动态更新 铁路信息管理 数据可视化
分 类 号:TP391.1[自动化与计算机技术—计算机应用技术] U2[自动化与计算机技术—计算机科学与技术]
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