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巡检是保障水电站安全的重要手段。文中在总结水电站巡检方法的基础上,根据系统构成与行为关系模型,利用在线监测系统纵向追忆和横向关联的优势,提出了综合状态和性能的巡检分析方法。该方法在智能水电站一体化信息平台下,首先通过有效性检查及冗余切换对数据进行甄别与容错;然后,一方面自动采用动态阈值分析与相似影响因子趋势分析检测系统状态异常,另一方面通过宏试验或根据经验模型自动计算系统执行任务的性能指标,并检测性能越限及性能降低程度;最后,根据状态及性能检测结果,发出报警信息;同时,通过数据关联与数据同步,有效提升了状态数据的关联性,进而为故障诊断提供决策支持。基于该方法开发的智能化巡检系统已应用于葛洲坝电站。
Inspection is an important means to ensure the safety of hydropower stations. Based on the summary of the inspection methods of hydropower stations and based on the model of system composition and behavior, this paper makes use of the advantages of longitudinal recall and horizontal correlation of on-line monitoring system, and proposes a comprehensive analysis method of inspection status and performance. Under the integrated information platform of intelligent hydropower station, the method first identifies and tolerates the data through validity check and redundancy switchover. Then, on the one hand, dynamic threshold analysis and trend analysis of similar impact factors are automatically adopted to detect the abnormal state of the system. On the other hand, Through the macro test or empirical model based on the automatic calculation of the performance of the system to perform the task and test the performance threshold and performance degradation; Finally, according to the state and performance test results, the alarm message; the same time, through data correlation and data synchronization, effectively enhance The relevance of the state data, and thus provide decision support for fault diagnosis. The intelligent inspection system developed based on this method has been applied to Gezhouba Power Station.