Establishes a comprehensive management architecture for energy storage analysis, early warning, intelligent operation and maintenance, and equipment management, covering the entire lifecycle of "station-stack-cluster-box-cell" with full equipment, full data, and full-point monitoring. Through a maintenance model of "centralized operation, online diagnostics, and intelligent early warning," it achieves intelligent, efficient maintenance management for the entire station, ensuring safe operation of the power station.

Supports access to over 1 million telemetry points and over 1 million remote signaling points, enabling data collection and big data analysis for all equipment in megawatt, gigawatt-scale energy storage power stations.

Utilizes big data mining technology to enable online monitoring, diagnostic early warning, and lifespan prediction for cells and battery systems, enhancing system safety, operational efficiency, and overall lifecycle benefits.

Supports real-time status monitoring, health assessment, and fault early warning for all energy storage equipment and control objects, from individual cells to the entire power station. Establishes "feature fingerprint" datasets for battery temperature, internal resistance, and faults, creating a "battery profile" for specific battery models.