Intelligent Decision Support System Based on BIM in Power Grid Engineering

The popularization and in-depth application of Building Information Modeling (BIM) technology have greatly promoted the improvement of building operation and maintenance management efficiency. BIM not only provides unprecedented accuracy for cost estimation by constructing high-precision 3D models, but also achieves deep optimization of resource allocation and cost control, effectively strengthening collaborative operations and information flow among project participants. BIM technology can reflect project changes in real time, significantly improving the response speed and processing efficiency of project change management, ensuring that the project can proceed smoothly according to established goals. In response to the complex planning and difficult decision-making of power grid engineering projects, this paper designs an intelligent decision support system for power grid engineering projects based on BIM. This system deeply integrates the spatial analysis capabilities of BIM technology, the massive data processing capabilities of big data technology, and the intelligent decision-making capabilities of artificial intelligence (AI) algorithms, aiming to achieve comprehensive, accurate, and efficient planning and management of power grid engineering projects. The experimental results show that the system can significantly improve the planning efficiency and quality of power grid engineering projects, providing decision-makers with more scientific, reasonable, and feasible solution choices.