三峡左岸电站机组状态监测趋势分析系统及应用

Condition Monitoring Trend Analysis System of Three Gorges Left Bank Hydropower Station

讨论了基于浏览器/服务器(B/S)模式构建多层综合分析机制对电厂监测数据进行分析的数学原理和实现方案,根据分析结果可以提前发现发电机组或其他电力设备的异常状况,从而在很大程度上降低电厂事故发生的可能性和运营成本。重点讨论了在大型监测数据库基础上构建综合趋势分析平台的相关问题;同时,结合对油槽设备缓慢漏油、轴瓦损坏造成瓦温缓慢上升等隐患的预报,讨论了时间序列趋势分析模型的实现,以及对机组异常状态监测数据进行有效分析的可行方案。

The prknciple and realization of constructing a B/S-based multi-level comprehensive data analysis system for the supervisory data of hydropower plant are discussed. According to the analysis results, abnormal phenomena of the generator set or other electric power equipment can be found in advance and the cost of maintenance can be reduced in a great degree. Some issues related to the construction of a data analysis system based on large monitoring database are emphasized, in combination with the forecast for some hidden troubles of generator sets and related equipment, the time series trend analysis model and its feasible scheme for the analysis of abnormal monitoring data are discussed.