基于钢铁企业的数据仓库系统

Xiangdong Zhao, Hao Zhang, Xiao Ji, Jianfeng Lu
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引用次数: 0

摘要

本文首先回顾了钢铁企业信息系统的常用结构,然后详细介绍了数据仓库的五层结构。它由数据源层、操作数据存储层、主题数据集层、数据分析层和数据显示层组成。其中,详细阐述了主题数据集的概念和构建过程,以及数据分析层中各种模型的特点。最后以卷材重要质量指标为例,介绍了在数据分析层中选择数据源、建立主题数据集、调用方法和模型对数据进行分析的过程。实践证明,通过建立数据仓库系统,可以提高生产效率,为企业决策提供支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Warehouse System Based on Iron & Steel Enterprise
This paper firstly reviews common construction of information system of iron & steel enterprise, and then detailedly introduces five-layer structure of data warehouse. It is made of data source layer, operation data storage layer, subject data set layer, data analysis layer and data display layer. Among all, the concept and building process of subject data set and the characteristics of various models in data analysis layer are explained detailedly. Lastly this paper gives an analysis example of important quality index of rolling coil which introduces the process of selecting data source, building subject data set, analyzing data by calling methods and models in data analysis layer. It is proved that by building data warehouse system, it can improve efficiency of production and support enterprise's decision.
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