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.
VR sceneknowledge graphdynamic updaterailway information managementdata visualization
万方数据
维普
