火电机组自动化控制系统报警优化研究OA

Addressing issues such as frequent false alarms,disorganized priority levels,and insufficient logical correlation in the alarm system of thermal power unit automation control systems,this research adopts methods including load condition identification with dynamic threshold adjust-ment,sensor signal filtering with multi-source data fusion,alarm classification standardization,and causal chain logic optimization.These were combined with improvements to the visualization in-terface to enhance operator response efficiency to alarms.The results indicate a significant reduction in false alarms,more prominent high-priority alarms,and a shortened average operator response time,thereby improving overall system safety and reliability.This provides a feasible technical path-way reference for alarm system optimization.