Abstract: The operational efficiency of the electrical system in intelligent buildings directly determines the building’s energy- saving potential and operational safety. However, traditional models suffer from core pain points such as data silos, decision- making reliance on manual intervention, and delayed fault handling. An AIGC-driven intelligent building electrical integrated management and control platform is designed, adopting a three-layer architecture of data collection layer, algorithm processing layer, and execution scheduling layer, and implementing three core functions: predictive fault warning, dynamic energy consumption optimization, and global integrated management and control. Through pilot verification in a commercial complex, the platform can achieve a 92% coverage rate of non-sudden fault early warning, a 16.1% reduction in electrical energy consumption, and a 66.7% improvement in cross-system operation and maintenance efficiency. It can be deployed without large-scale hardware modifications and has high engineering promotion value.