面向工业机器人控制的柔性容器平台体系结构

Carlos A. Garcia, Marcelo V. García, E. Irisarri, F. Pérez, M. Marcos, Elisabet Estévez-Estévez
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引用次数: 5

摘要

在软件开发中采用虚拟化技术带来了该领域的灵活性和创新等概念的进步。这些新兴解决方案带来的优势在云计算和大数据系统中广为人知。还应当指出,这些概念有助于在不同情况下传播这些技术。网络物理生产系统(CPPS)和工业物联网(IIoT)就是一个很好的例子,它们为未来的智能工厂提供了先进的生产灵活性。在这个意义上,本文提出了一种灵活的工业控制容器体系结构。更具体地说,它专注于使用容器解决方案的多用途控制器或移动拟人化机器人。为此,使用Docker或IEC 61499等关键技术,同时解决灵活功能的部署和控制的虚拟化,并提供遗留支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flexible Container Platform Architecture for Industrial Robot Control
The adoption of virtualization technologies in the development of software has brought advances in concepts such as flexibility and innovation in the field. The advantages introduced by these emerging solutions are widely known in Cloud Computing and Big Data systems. It should also be noted that these concepts have contributed to spreading such technologies in different contexts. Good examples of this are Cyber-Physical Production Systems (CPPS) and Industrial Internet-of-Things (IIoT) providing the future smart factories with advanced flexibility in production. In this sense, this paper proposes a flexible container architecture for industrial control. More specifically, it is focused on multi-purpose controllers or mobile anthropomorphic robots making use of a container solution. To this end, key technologies as Docker or IEC 61499, are used to address at the same time the deployment of flexible functions and the virtualization of control, with legacy support.
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