智能过程控制顺应工业4.0趋势

David A. Guerra-Zubiaga, Grayson McMichael, D. Segura-Velandia, Maria Aslam, Seung-Woo Yim, Zack Anderson, Y. Goh
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引用次数: 1

摘要

工业4.0是工业革命的下一个阶段,它被认为是先进过程控制的关键因素。本文的重点是工业4.0方面,以支持通过制造执行系统(MES)更好的过程控制。一些智能制造决策系统需要复杂的基础设施来实现先进的反馈控制。本文的动机是探索工业物联网(IIoT)、大数据收集、云制造(CM)和机器学习(ML)等范式,以在过程控制中提供更好的制造支持决策。本文提出了一种新的MES方法,通过集成工业物联网、CM和ML来提供更智能的过程控制。这项研究工作创建了一个过程控制训练台(PCTB)作为实验基础设施,以实现一个结合工业4.0趋势的过程控制系统,并应用ML来分析和预测异常。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Process Control Following Industry 4.0 Trends
Industry 4.0 is the next phase in the industrial revolution, and it is considered a key factor for advanced process control. This paper is focused on Industry 4.0 aspects to support better process control through a Manufacturing Execution System (MES). Some intelligent manufacturing decision systems require complex infrastructures that make advanced feedback control possible. The motivation of this paper is exploring the paradigms such as Industrial Internet of Things (IIoT), Big Data collection, Cloud Manufacturing (CM), and Machine Learning (ML) to provide better manufacturing support decisions in process control. This paper proposes a new approach at MES providing more intelligent process control through the integration of IIoT, CM, and ML. This research effort created a Process Control Training Bench (PCTB) as experimental infrastructure to implement a process control system incorporating Industry 4.0 trends and applying ML to analyze and predict anomalies.
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