Abstract: With the large-scale integration of renewable energy, new requirements have emerged for the intelligent management and stable operation control of power grids. Real-time monitoring of multi-source data in microgrids can effectively track the status of distributed power generation and operational equipment feeding back to the rural power grid. This helps control the renewable energy output and load in rural areas, providing data foundation for intelligent grid management. This paper uses ArcMap to integrate data from multiple platforms, forming an energy distribution map that reflects the operating status and geographic location of clean energy equipment. Real-time energy operation monitoring is achieved through equipment operation data and geographic information. In the event of network abnormalities, the system can quickly make judgments, locate the abnormal areas, and evaluate the issue, facilitating follow-up actions. By monitoring whether selected parameters fall within a reasonable range, multi-source data can help determine if an anomaly has occurred, thus aiding in timely detection and early warning of exceptions. The monitoring and early warning capabilities are validated using the microgrid of Wuyang Village in Wencheng County as a case study.