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Why We Need Automation Models: Handling Complexity in Industry 4.0 and the Internet of Things
IEEE Transactions on Neural Networks and Learning Systems ( IF 10.2 ) Pub Date : 2020-03-23 , DOI: 10.1109/mie.2019.2947119
Juergen Jasperneite , Thilo Sauter , Martin Wollschlaeger

With the introduction of computers occurring more than 50 years ago, automation systems have become more powerful, comprehensive, and complex. The key to handling this complexity was the introduction of many aspects, including architecture models that structure and standardize functions, information, and its exchange; procedures; and the interaction of subsystems. With the recent Industry 4.0 and industrial Internet of Things (IIoT) movements, such models have received fresh attention and have grown in complexity. This article reviews the evolution of automation models. It compares several recent approaches, their standardization, and recent computing paradigms, and discusses their practical use and importance for modern automation systems.

中文翻译:

为什么我们需要自动化模型:处理工业4.0和物联网中的复杂性

随着50年前计算机的出现,自动化系统变得越来越强大,全面和复杂。处理这种复杂性的关键是引入了许多方面,包括构造和标准化功能,信息及其交换的架构模型。程序;以及子系统之间的相互作用。随着最近的工业4.0和工业物联网(IIoT)的发展,此类模型受到了新的关注,并且变得越来越复杂。本文回顾了自动化模型的发展。它比较了几种最近的方法,它们的标准化和最近的计算范例,并讨论了它们在现代自动化系统中的实际用途和重要性。
更新日期:2020-04-22
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