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Data-Driven Design of Fog-Computing-Aided Process Monitoring System for Large-Scale Industrial Processes

机译:大规模工业过程的雾计算辅助过程监控系统的数据驱动设计

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摘要

Stimulated by the recent development of fog computing technology, in this paper, a fog-computing-aided process monitoring and control architecture is proposed for large-scale industrial processes, which enables reliable and efficient online performance optimization in each fog computing node without modifying predesigned control subsystems. Moreover, a closed-loop data-driven method is developed for the process monitoring system design and an adaptive configuration approach is proposed to deal with the problems caused by the changes of process parameters and operating points. The feasibility and effectiveness of the proposed design approaches are verified and demonstrated through the case study on the Tennessee Eastman benchmark system.
机译:在雾计算技术的最新发展的推动下,本文提出了一种针对大型工业过程的雾计算辅助过程监视和控制体系结构,该体系结构可在不修改预先设计的情况下,在每个雾计算节点中实现可靠,高效的在线性能优化。控制子系统。此外,为过程监控系统的设计开发了一种闭环数据驱动的方法,并提出了一种自适应组态方法来解决由于过程参数和操作点的变化而引起的问题。通过田纳西州伊士曼基准系统的案例研究,验证并证明了所提出的设计方法的可行性和有效性。

著录项

  • 来源
    《Industrial Informatics, IEEE Transactions on》 |2018年第10期|4631-4641|共11页
  • 作者

    Hao Luo; Hao Zhao; Shen Yin;

  • 作者单位

    Department of Control Science and Engineering, Harbin Institute of Technology, and also with the State Key Laboratory of Advanced Welding and Joining, Harbin Institute of Technology, Harbin, China;

    Department of Control Science and Engineering, Harbin Institute of Technology, and also with the State Key Laboratory of Advanced Welding and Joining, Harbin Institute of Technology, Harbin, China;

    Department of Control Science and Engineering, Harbin Institute of Technology, and also with the State Key Laboratory of Advanced Welding and Joining, Harbin Institute of Technology, Harbin, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Process control; Monitoring; Edge computing; Computer architecture; Control systems; Informatics; Adaptive control;

    机译:过程控制;监控;边缘计算;计算机体系结构;控制系统;信息学;自适应控制;

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