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基于数据挖掘的泵送混凝土质量管理系统设计

Quality Control Expert System of Pump Concrete Based onTechnology of Data Mining

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【作者】 夏红霞赵晶晶曹斌王蕾钟珞

【Author】 XIA Hong-xia, ZHAO Jing-jing, CAO Bin, WANG Lei,ZHONG Luo(School of Computer Science and Technology, Wuhan University of Technology. Wuhan 430070, China)

【机构】 武汉理工大学计算机科学与技术学院武汉理工大学计算机科学与技术学院 武汉430070武汉430070武汉430070

【摘要】 提出了采用数据挖掘技术对泵送混凝土质量进行管理和控制的解决方案。概述了数据挖掘技术和数据仓库技术,提出了基于数据挖掘技术的质量控制和管理模型以及系统的整体架构,并详细阐述了数据挖掘算法中的统计分析法和决策树法在该系统中建模和应用的过程。该系统运用到实际生产过程中达到系统最初设计目标,效果良好。

【Abstract】 This paper introduced the whole process that how to apply the technology of data mining into the design of the system of Pump Concrete Expert System. Owing to the problems existing in the technologies and the environment of construction, the application of data mining was imperative under the situation. Firstly the technology of data mining was analyzed and then the statistic analysis and decision trees were used successfully in the system based of the actual requirement. The model of data mining and the whole framework founded on the quality control were provided at the same time. The system was triumphantly applied into the factual production, which was worth mentioning.

【基金】 国家“十五”科技攻关项目 (2 0 0 1BA30 7B0 1 0 2 0 1)
  • 【文献出处】 武汉理工大学学报 ,Journal of Wuhan University of Technology , 编辑部邮箱 ,2005年06期
  • 【分类号】TP311.52
  • 【被引频次】5
  • 【下载频次】168
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