基于联机分析处理技术的变压器检修系统

Transformer Service System Based on On-Line Analytical Processing

变压器维修信息的综合研究对电气设备维修工作具有重要意义。针对当前变压器维修信息处理和分析过程中存在的问题,分析了联机分析处理和数据挖掘技术的相关理论,提出基于联机分析处理和数据挖掘技术实现在线监测数据的星型数据系统模型。系统采用客户/服务器结构,实践证明该系统可根据实际需要高效地对变压器维修信息进行在线分析、预测,为进一步全面实现电气设备在线监测起到有效支持。

Making an investigation on the information of trans former service is very important for transformer service. Current problems in the processing and analysis of the maintenance of transformer are pointed out. The outline of on-line analytical processing and data mining is briefly introduced. An on-line monitoring data system model with star data patterns is developed which base on OLAP and data mining. Based on Client/ Server （C/S） structure, the system is capable of effectively analyzing and forecasting the on-line monitoring data of transformer and get satisfactory result which will support power equipment on-line monitoring.