摘要
介绍了多维数据模型、数据立方体和OLAP联机分析处理的相关概念;提出了一种用于建立数据立方体的维度的数据聚类算法,利用该算法对历史数据进行聚类后得到了便于进行OLAP分析的维度。基于凝汽器系统的历史数据,以凝汽器系统的真空变化情况为主题,建立了基于多维数据模型的数据立方体,介绍了OLAP多维数据分析方法,挖掘了数据中的信息,体现了OLAP分析相对于传统数据分析方法的优越性。
Related concepts of multi-dimensional data model, data cubes and OLAP （ Online analytical process） are presented, and a clustering method for establishing the dimension of multi-dimensional model is also provided, which can be used to define the dimension for the use of OLAP on the historical data of condenser system. With the vacuum variation of the condenser as an object, data cubes are created based on the multkdimensional model of the condenser system. Information from huge historical data using OLAP is introduced. The advantages of OLAP vs traditional data analytical method have been showed in this paper.
出处
《热力透平》
2006年第1期27-31,45,共6页
Thermal Turbine
