Hybrid controller for a software-defined architecture of industrial internet lab-scale process

M. Moness, A. M. Moustafa, Abdur-Rahman H. Muhammad, A. A. Younis
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引用次数: 9

Abstract

Internet of Things (IoT) is a thriving trend that has invaded many aspects of real life. The merging of IoT with industrial information is forming a new emerging direction of Industrial Internet of Things (I2oT). I2oT requires reliable methods for co-design of control and automation systems that can align their performance within deep and complex cyber layers of communication and computation. This paper investigates the utilization of hybrid control approach for modeling and analyzing distributed control of a quadruple-tank as a lab-scale benchmark process. The system is implemented via a software-defined architecture for I2oT using low-cost commercial IoT-enabled Intel Galileo Boards. The proposed I2oT software architecture utilizes Node.js and JavaScript for all different layers of the system with web sockets for handling real-time control packets. Node.js is considered reliable for event-driven scheme applications such as I2oT due to its optimal performance and resource utilization.
工业互联网实验室规模过程软件定义体系结构的混合控制器
物联网(IoT)是一个蓬勃发展的趋势,已经侵入了现实生活的许多方面。物联网与工业信息的融合正在形成工业物联网(iiot)的新兴方向。物联网需要可靠的方法来共同设计控制和自动化系统,这些系统可以在通信和计算的深层和复杂的网络层中调整其性能。作为实验室规模的基准过程,本文研究了利用混合控制方法对四缸分布式控制进行建模和分析。该系统通过软件定义的I2oT架构实现,使用低成本的商用物联网英特尔伽利略板。提出的iiot软件架构在系统的所有不同层使用Node.js和JavaScript,并使用web套接字处理实时控制数据包。Node.js被认为是可靠的事件驱动方案应用程序,如iot,由于其最佳的性能和资源利用率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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