基于实时数据流分析的钢铁产品质量监测  

Quality monitoring of steel products based on real-time data stream analysis

作　　者：黄纵[1] 张晓龙[1] 边小勇[1] 

机构地区：[1]武汉科技大学计算机科学与技术学院,武汉430065

出　　处：《计算机应用》2012年第5期1470-1473,共4页journal of Computer Applications

基　　金：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。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.

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 

分 类 号：TP392[自动化与计算机技术—计算机应用技术]