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基于实时数据流分析的钢铁产品质量监测
引用本文:黄纵,张晓龙,边小勇.基于实时数据流分析的钢铁产品质量监测[J].计算机应用,2012,32(5):1470-1473.
作者姓名:黄纵  张晓龙  边小勇
作者单位:武汉科技大学 计算机科学与技术学院,武汉 430065
基金项目:国家自然科学基金资助项目(60975031);湖北省自然科学基金重点项目(2009CDA034);武汉市学科带头人计划项目(201150530152)
摘    要:针对钢铁企业生产过程中普遍存在的质量分析和监测问题,开展了基于实时数据流分析的产品质量监测的应用研究。结合实时数据库和关系数据库,设计了具有实时监控以及离线追踪的钢铁生产线实时监控系统。着重研究了实时数据采集和实时数据分析,并提出了基于实时数据流的产品质量监测方法,实现了企业对产品生产线的实时追踪和产品质量的全程跟踪管理。

关 键 词:实时数据流    实时数据库    统计过程控制    工序能力指数    质量监测
收稿时间:2011-10-12
修稿时间:2011-12-12

Quality monitoring of steel products based on real-time data stream analysis
HUANG Zong , ZHANG Xiao-long , BIAN Xiao-yong.Quality monitoring of steel products based on real-time data stream analysis[J].journal of Computer Applications,2012,32(5):1470-1473.
Authors:HUANG Zong  ZHANG Xiao-long  BIAN Xiao-yong
Affiliation:School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan Hubei 430065, China
Abstract:This paper proposed a method of product quality supervision based on real-time data analysis,concerning the common quality analysis and supervision problem in the process of steel production.Combined with real-time database and relational database,the method performed a real-time detection of steel production in both real-time supervision and off-line tracing.The main work of this paper was the collection of real-time data for real-time database,and the analysis schema given both real-time and relational data.The method proposed in this paper has been applied in several production lines of a steel factory and achieves good quality management.
Keywords:real-time data stream  real-time database  statistical process control  process capability index  quality monitoring
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