Exploring the Integration of cloud manufacturing and cyber-physical systems in the era of industry 4.0 – An OPC UA approach

IF 9.1 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Robotics and Computer-integrated Manufacturing Pub Date : 2024-12-09 DOI:10.1016/j.rcim.2024.102927

Tang Ji, Xun Xu

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Abstract

The convergence of Cloud Manufacturing and Cyber-Physical Systems (CPS) presents an opportunity worth exploring. This paper looks into integrating these two concepts by utilising the OPC Unified Architecture (OPC UA) as a key communication protocol. Following a critical review of the relevant concepts, the authors propose a conceptual hybrid architecture that relies on OPC UA to facilitate seamless data exchange and interoperability across different levels of manufacturing systems. The proposed architecture addresses current challenges in integrating Cloud Manufacturing and CPS, including the need for real-time monitoring, adaptive control, and efficient data management. Through this approach, enterprises can optimise manufacturing processes by enhancing real-time capabilities and utilising cloud resources effectively. The paper outlines the key components of this architecture, including communication protocol levels, OPC UA functions, and the relationship between cloud services and manufacturing systems. It offers a clear path toward smarter manufacturing environments.

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探索工业4.0时代云制造与网络物理系统的集成——一种OPC UA方法

云制造和网络物理系统（CPS）的融合提供了一个值得探索的机会。本文探讨了利用OPC统一架构（OPC UA）作为关键通信协议来整合这两个概念。在对相关概念进行批判性回顾之后，作者提出了一种概念性混合架构，该架构依赖于OPC UA来促进不同级别制造系统之间的无缝数据交换和互操作性。提出的架构解决了当前集成云制造和CPS的挑战，包括实时监控、自适应控制和高效数据管理的需求。通过这种方法，企业可以通过增强实时能力和有效利用云资源来优化制造流程。本文概述了该体系结构的关键组件，包括通信协议级别、OPC UA功能以及云服务与制造系统之间的关系。它为更智能的制造环境提供了一条清晰的道路。

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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来源期刊

Robotics and Computer-integrated Manufacturing 工程技术-工程：制造

CiteScore

24.10

自引率

13.50%

发文量

160

审稿时长

50 days

期刊介绍： The journal, Robotics and Computer-Integrated Manufacturing, focuses on sharing research applications that contribute to the development of new or enhanced robotics, manufacturing technologies, and innovative manufacturing strategies that are relevant to industry. Papers that combine theory and experimental validation are preferred, while review papers on current robotics and manufacturing issues are also considered. However, papers on traditional machining processes, modeling and simulation, supply chain management, and resource optimization are generally not within the scope of the journal, as there are more appropriate journals for these topics. Similarly, papers that are overly theoretical or mathematical will be directed to other suitable journals. The journal welcomes original papers in areas such as industrial robotics, human-robot collaboration in manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.