Research on Data Fusion Method and Application for Digital Twin Traction Power Supply System in Planning and Design Phase.

With the rapid development of China's intelligent high-speed railway, the traction power supply system, as one of the key fields in intelligent equipment sector, has established a foundation for intelligence and digitalization. To further enhance the simulation and verification capabilities of the system, research on a digital twin traction power supply system was initiated. Taking the comprehensive data application throughout the entire lifecycle of the system from design to operation, this paper proposed the architecture and evolution path of the digital twin traction power supply system platform. Based on the functional characteristics of the system in the planning and design phase, this study analyzed the data fusion needs of BIM, power supply simulation, substation simulation, catenary simulation system and platform display interaction. A star-shaped data fusion topology was proposed, along with a data fusion method that constructed a unified dataset for data interaction. A unified dataset for structured data, BIM model and file-type data was designed, and a standard JSON data format for static and dynamic attribute data was proposed. A database was built to index and manage various types of data. Based on the Beijing - Tangshan intercity railway project, the digital twin traction power supply system platform was developed and explored in practical applications, achieving core functions such as BIM-driven simulation and three-dimensional dynamic visualization of simulation results, verifying the effectiveness of the data fusion method. This method will provide guidance for the intelligent construction, operation and maintenance of traction power supply system. [ABSTRACT FROM AUTHOR]