Data collection and analysis: meteorological data, power generation, storage capacity statistics, PR analysis, equipment operation; functions such as string fault location, notification center, defect management, and automated report management.

Data collection and analysis includes: busbar data such as group current and voltage; inverter data such as real-time voltage, power generation, and real-time power; and real-time data from key points such as box transformers, high-voltage sides, and grid connection points.

Intelligent fault alarming and operation and maintenance optimization are conducted based on the historical database of the Energy Management System (EMS), involving data mining research and development.

Intelligently and automatically extract valuable knowledge or information from a large amount of data, and discover previously unknown, effective, and practical information for analysis and decision-making.

Database function: Store, analyze, and statistically process real-time and historical data, and quantify unpredictable factors.

Centralized monitoring: Implementing monitoring, remote control, and intelligent alarming.

Centralized operation and maintenance: Online + offline dual operation and maintenance, with the online platform achieving full-process monitoring.

Operational statistics: real-time status, electricity quantity and revenue statistics, as well as comparative analysis and other processing.