【作者】 蹇浪； 付忠广； 刘刚； 申鹏飞； 郑玲；

【Author】 JIAN Lang ,FU Zhong-guang, LIU Gang, SHEN Peng-fei, ZHENG Ling (Dep.of Power Engineering, Key Laboratory of Condition Monitoring and Control for Power Plant Equipment Ministry of Education, North China Electric Power University, Beijing 102206)

【机构】 华北电力大学动力工程系暨电站设备状态监测与控制教育部重点实验室；

【摘要】 电站机组在生产过程中产生了大量蕴含丰富知识的数据,然而这些数据并没有得到有效利用。数据仓库和联机分析处理以及数据挖掘是信息技术新兴的研究领域。文章提出用数据仓库技术来管理、分析电站生产过程中产生的数据的思想,然后对建立火电机组数据仓库模型的方法以及维度、粒度的选取等关键技术进行了探讨,并对火电机组数据仓库的建设给出了一些建议,最后展望了基于电站机组数据仓库技术的联机分析处理和数据挖掘技术的应用前景。更多还原

【Abstract】 A large number of data are produced in the process of power plant units operation, which contain abundant knowledge, but they are not to be used effectively. Data warehouse (DW) as well as on-line analytical processing (OLAP) and data mining (DM) are new research field on information technology. The ideas of the application of data warehouse technology on management, analyze of power plant data was presented. The key techniques such as dimension choosing and granularity in data warehouse constructing were discussed. Some suggestions about power plant unit data warehouse construction were given. Finally, the application prospect of OLAP and Data Mining technology which are based on data warehouse is introduced.更多还原