Volume 1 Issue 3
Sep.  2008
Turn off MathJax
Article Contents
Er-feng ZHAO, Ya-chao WANG, Yu-feng JIANG, Lei ZHANG, Hong YU. 2008: Multi-dimensional database design and implementation of dam safety monitoring system. Water Science and Engineering, 1(3): 112-120 . doi: 10.3882/j.issn.1674-2370.2008.03.012
Citation: Er-feng ZHAO, Ya-chao WANG, Yu-feng JIANG, Lei ZHANG, Hong YU. 2008: Multi-dimensional database design and implementation of dam safety monitoring system. Water Science and Engineering, 1(3): 112-120 . doi: 10.3882/j.issn.1674-2370.2008.03.012

Multi-dimensional database design and implementation of dam safety monitoring system

doi: 10.3882/j.issn.1674-2370.2008.03.012
  • Received Date: 2008-04-29
  • Rev Recd Date: 2008-08-13
  • To improve the effectiveness of dam safety monitoring database systems, the development process of a multi-dimensional conceptual data model was analyzed and a logic design was achieved in multi-dimensional database mode. The optimal data model was confirmed by identifying data objects, defining relations and reviewing entities. The conversion of relations among entities to external keys and entities and physical attributes to tables and fields was interpreted completely. On this basis, a multi-dimensional database that reflects the management and analysis of a dam safety monitoring system on monitoring data information has been established, for which factual tables and dimensional tables have been designed. Finally, based on service design and user interface design, the dam safety monitoring system has been developed with Delphi as the development tool. This development project shows that the multi-dimensional database can simplify the development process and minimize hidden dangers in the database structure design. It is superior to other dam safety monitoring system development models and can provide a new research direction for system developers.

     

  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (1754) PDF downloads(2664) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return