| Abstrakt: |
To address the issues of high workload, poor visualization, and weak dynamic verification support in train control data verification, this paper proposed a building information modelling (BIM)-based dynamic verification method for train control engineering data. A data model-driven method in scene design was first applied to automatically integrate 3D railway stations on the Unity platform, generating realistic railway station environments. Then, continuous collision detection was employed to visually simulate the dynamic operations of trains based on relevant railway specifications. Finally, dynamic verification of train control engineering data was completed integrating 3D station model and train simulation operations. For 3D station integration, this method could automatically and efficiently retrieve railway infrastructure models, accurately constructing 3D stations, including tracks, turnouts, and signal machines. During the 3D simulation operations, the system could automatically detect track section occupancy, operate signal lights, calculate and execute driving permission, and read balise data via vehicle-ground communication. It also could perform over-speed protection according to the permission, controlling train operations within 3D simulation scenes and replicating scenes of commissioning and integrated testings. If any anomalies occurred during the simulation, the system would flag potential risks in data design, ending validation with a warning. In an experiment using data from the Xianfeng Station and adjacent sections of the Qianjiang -Changde Railway, the results showed that: (1) The length of 1LQG was insufficient to meet the requirement of 80 km/ h for initial speed. It was recommended to increase the length from 305 m to 525 m to meet the requirements for all train types. (2) The 350 m distance between the neutral zone and the adjacent signal machine was inadequate for the CRH-200 train passing through the zone. Some data issues occurred, suggesting a need to extend the distance to over 524 m. These findings provide valuable references for the application of BIM method in the verification of train control engineering data. [ABSTRACT FROM AUTHOR] |
