计算机应用 ›› 2014, Vol. 34 ›› Issue (1): 286-291.DOI: 10.11772/j.issn.1001-9081.2014.01.0286

• 行业与领域应用 • 上一篇    下一篇

基于实时数据处理的钢铁加热炉在线质量监控方法

李保连1,2,张晓龙1,2   

  1. 1. 武汉科技大学 计算机科学与技术学院,武汉 430065;
    2. 智能信息处理与实时工业系统湖北省重点实验室,武汉 430065
  • 收稿日期:2013-07-10 修回日期:2013-09-08 出版日期:2014-01-01 发布日期:2014-02-14
  • 通讯作者: 李保连
  • 作者简介:李保连(1989-),男,山东德州人,硕士研究生,主要研究方向:机器学习、数据流挖掘;张晓龙(1963-),男,江西永新人,教授,博士生导师,主要研究方向:数据挖掘、机器学习、生物信息处理。
  • 基金资助:

    国家自然科学基金资助项目;“十二五”国家科技支撑计划项目;湖北省自然科学基金资助项目;武汉市学科带头人计划项目

Steel furnace online quality monitoring method based on real-time data processing

LI Baolian1,2,ZHANG Xiaolong1,2   

  1. 1. Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan Hubei 430065, China
    2. School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan Hubei 430065, China;
  • Received:2013-07-10 Revised:2013-09-08 Online:2014-01-01 Published:2014-02-14
  • Contact: LI Baolian
  • Supported by:

    National Natural Science Foundation

摘要: 针对钢铁企业加热炉生产过程中数据流不易于集中管理和分析,无法有效地进行生产监控及在线质量分析问题,提出了一种基于实时数据分析的生产监控与在线质量分析的方法。结合实时数据库和关系数据库,引入六西格玛管理手段和控制图技术,设计和实现了加热炉生产监控与在线质量分析系统。系统具有实时数据处理、生产监控与质量分析、产品在线质量监控等功能。应用结果表明,系统有效地集成了企业的生产数据和标准数据,实现了对加热炉生产的实时监控与质量判定。

关键词: 加热炉, 实时数据流, 生产监控, 在线质量分析, 统计质量控制图, 统计过程控制

Abstract: This paper proposed a monitoring and online quality analysis method based on real-time data analysis in order to solve the problems that data stream is hard to manage and analyze and production monitoring and online quality analysis can not be handled effectively in the process of steel heating furnace production. By combining real-time database and relational database, and using six Sigma management tools and control chart techniques, the authors proposed an approach to do monitoring and online quality analysis. The implemented system includes real-time data processing, production monitoring as well as online/off-line quality monitoring. The performance of the system indicates that it can be effectively applied in the heating furnace in real-time data analysis and online quality monitoring.

Key words: heating furnace, real-time data stream, production monitoring, online quality analysis, Statistical Quality Control (SQC) chart, Statistical Process Control (SPC)

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