关键词: 水电站大坝, 监控预警, 全过程监控, 大坝安全, 风险防控, 人工智能

Abstract: Aiming at issues in operational behavior monitoring of large hydropower dams, the full process monitoring concept and methodology are developed based on case analysis and theoretical analysis. Firstly, by review of dam failure cases and damage theories, the macroscopic responses of dams during the initiation and development of structural anomalies are analyzed, revealing the evolution patterns of operational behavior throughout the entire dam failure process. On this basis, by integrating pattern monitoring with operational status monitoring, the full process monitoring concept is established, with precise characterization of the full-process anomaly features as its core. Finally, a monitoring indicator system comprising change patterns and features monitoring thresholds is constructed, and a state equation for dam operational behavior monitoring is proposed, along with a three-level early warning rule system. Case analysis demonstrates that the monitoring and early warning method based on the full process monitoring concept can accurately identify the anomalous stages of dam operation, with warning points occurring earlier compared to traditional methods, thereby effectively enhancing the risk prevention, control, and emergency response capabilities of large hydropower dams in operation.

Key words: hydropower dams, monitoring and warning, full process monitoring, dam safety, risk prevention and control, artificial intelligence