To address the issues of low efficiency, high missed inspection rates in traditional manual substation inspections, single intelligent equipment inspections, and insufficient collaboration among multiple intelligent inspection devices, this paper proposes an integrated air-ground intelligent inspection method for substations driven by multi-source monitoring data. By establishing an inspection task command platform and constructing an efficient data acquisition and analysis system with close collaboration among intelligent inspection devices such as inspection robots, the method utilizes multi-source data processing, fusion, and analysis technologies to achieve special inspection task allocation and path planning for multiple intelligent inspection devices (e.g., inspection robots), integrated air-ground collaborative inspection, and early identification and warning of equipment faults.