一种多源数据融合的水电机组运行控制方法及系统
By using a multi-source data fusion method for hydropower unit operation control, a dynamic correlation structure is constructed to identify early hidden anomalies, optimize the control system, solve the problem of declining operating efficiency of hydropower units, and improve the level of intelligent management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 国家能源集团江西电力有限公司
- Filing Date
- 2026-04-13
- Publication Date
- 2026-07-17
AI Technical Summary
Existing hydropower unit operation control technology, while maintaining high-quality control effects, fails to capture changes in control load in a timely manner, leading to potential decreases in operating efficiency or performance degradation. It lacks dynamic assessment of the internal state of the control system and early anomaly identification.
By employing a multi-source data fusion method, historical and real-time data are acquired to construct a dynamic correlation structure between control load and state stability, enabling anomaly dominance detection, identifying early latent anomalies, and optimizing the operation and management of the control system.
It enables accurate assessment and early anomaly identification of hydropower unit control systems, improves anomaly response sensitivity and control optimization targeting, and enhances the level of intelligent operation management.
Smart Images
Figure CN122026529B_ABST