Research and Application of Key Technologies in BIM-Based Digital Twin Scenario Construction for Power Grids

This study focuses on the deep mining and processing of BIM data, solving the critical problem of accurate extraction and conversion of power grid models. By utilizing Unreal Engine's powerful real-time rendering and interactive capabilities, it achieves high-fidelity visualization of GIS+BIM twin scenarios for power grids. A real-scene-level dynamic updating method based on multi-source data fusion is proposed, ensuring real-time synchronization between the twin scenarios and the physical power grid. This technical framework effectively improves the efficiency of power grid planning, operation, maintenance, and management, as well as scientific decision-making, thus providing critical technical support for smart grid construction.