基于云边缘计算的工业自动化与人工智能ICICOS框架研究

Weibin Su, Gang Xu, Zheng He, I. K. Machica, V. Quimno, Yi Du, Yanchun Kong
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引用次数: 0

摘要

工业自动化(IA)和人工智能(AI)需要一个集成平台。由于训练或推理任务所需时间的不确定性,很难保证人工智能在工厂中的实时性。因此,在本文中,我们对基于云边缘计算的工业网络智能控制操作系统(ICICOS)进行了详细的调查。ICICOS是基于IEC61499编程方法构建的,用于取代过时的可编程逻辑控制器(PLC)。众所周知,第三次工业革命产生了一种重要的装置:PLC。但PLC有限的能力只能适应自动化,无法支持人工智能,尤其是深度学习算法。边缘计算促进了分布式架构向物联网(IoT)的扩展,但在PLC领域收效甚微。因此,ICICOS专注于IA和AI的虚拟化,因此我们在本文中介绍了我们的ICICOS,并给出了具体的细节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloud-Edge Computing-Based ICICOS Framework for Industrial Automation and Artificial Intelligence: A Survey
Industrial Automation (IA) and Artificial Intelligence (AI) need an integrated platform. Due to the uncertainty of the time required for training or reasoning tasks, it is difficult to ensure the real-time performance of AI in the factory. Thus in this paper, we carry out a detailed survey on cloud-edge computing-based Industrial Cyber Intelligent Control Operating System (ICICOS) for industrial automation and artificial intelligence. The ICICOS is built based on IEC61499 programming method and used to replace the obsolete Programmable Logic Controller (PLC). It is widely known that the third industrial revolution produced an important device: PLC. But the finite capability of PLC just only adapts automation which will not be able to support AI, especially deep learning algorithms. Edge computing promotes the expansion of distributed architecture to the Internet of Things (IoT), but little effect has been achieved in the territory of PLC. Therefore, ICICOS focuses on virtualization for IA and AI, so we introduce our ICICOS in this paper, and give the specific details.
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