The solution targets “full-domain perception, intelligent decision-making, and efficient collaboration,” addressing traditional water conservancy pain points of fragmented monitoring, experience-based decision-making, and delayed dispatching. By integrating satellite remote sensing, drone inspection, and ground sensors, it establishes a three-dimensional “space–air–ground” data acquisition network. Leveraging a big data platform and AI algorithms, it provides real-time hydrological data analysis, dynamic water condition forecasting, and early disaster warnings, forming a smart water management loop with “no blind spots in monitoring, evidence-based decision-making, and high-efficiency dispatching,” supporting full-scenario, full-cycle, and all-factor water resource management, flood and drought control, and water environment governance.