{"title":"Exploring the Integration of cloud manufacturing and cyber-physical systems in the era of industry 4.0 – An OPC UA approach","authors":"Tang Ji, Xun Xu","doi":"10.1016/j.rcim.2024.102927","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":21452,"journal":{"name":"Robotics and Computer-integrated Manufacturing","volume":"93 ","pages":"Article 102927"},"PeriodicalIF":9.1000,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Robotics and Computer-integrated Manufacturing","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S073658452400214X","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
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.
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.