从云制造到云边协作制造

IF 9.1 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Liang Guo , Yunlong He , Changcheng Wan , Yuantong Li , Longkun Luo
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引用次数: 0

摘要

近年来,以新一代人工智能为代表的信息技术飞速发展,给制造业的变革和制造模式的演进带来了前所未有的冲击、挑战和机遇。近十年来,各种新型制造系统和模式不断被提出,云制造就是其中具有代表性的一种制造系统。本研究分析了云制造的总体研究进展和现有关键科学问题。结合当前的云边协同、数字孪生、边缘计算等技术,提出了一种基于云边协同的人机物深度融合制造系统。我们称之为云边协同制造(CeCM)。从系统架构层面分析了云边协同制造与云制造的异同。云边协同制造分为三大空间,包括物理现实空间、虚拟资源空间和云服务空间。基于上述划分,提出了云边协同制造的五层架构,包括制造资源感知层、边缘应用服务层、云边协同层、云边服务层、云边应用层。各层构建了一个制造资源、计算机系统以及人、机、物深度融合的制造系统。基于上述架构设计,对其整体系统运行流程进行了说明,并阐述了云边协同制造的 12 种协同特征。本文还总结了云边协同制造的 5 类关键技术体系和 21 项支撑关键技术。在上述框架下,开发了面向3D打印的云边协同制造,并构建了石油装备领域的应用场景。总之,我们相信云边协同制造将为制造网络化、数字化、智能化发展提供新的契机,为云制造模式演进提供新的技术路径,进一步推动随时、随地、随需的精准制造服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From cloud manufacturing to cloud–edge collaborative manufacturing

In recent years, the rapid development of information technology represented by the new generation of artificial intelligence has brought unprecedented impacts, challenges, and opportunities to the transformation of the manufacturing industry and the evolution of manufacturing models. In the past decade, a variety of new manufacturing systems and models have been proposed, with cloud manufacturing being one such representative manufacturing system. In this study, the overall research progress and existing key scientific issues in cloud manufacturing are analyzed. Combining with current cloud–edge collaboration, digital twin, edge computing, and other technologies, a deeply integrated human–machine–object manufacturing system based on cloud–edge collaboration is proposed. We call it cloud-edge collaborative manufacturing (CeCM). The similarities and differences between cloud-edge collaborative manufacturing with cloud manufacturing are analyzed from the system architecture level. The cloud-edge collaborative manufacturing is divided into three major spaces, including a physical reality space, a virtual resource space, and a cloud service space. Based on the above division, a five-layer architecture for cloud-edge collaborative manufacturing is proposed, including a manufacturing resource perception layer, an edge application service layer, a cloud–edge collaboration layer, a cloud–edge service layer, and a cloud–edge application layer. All the layers build a manufacturing system that deeply integrates manufacturing resources, computer systems, and humans, machines, and objects. Its overall system operation process is explained based on the above architecture design, and its 12 types of collaboration features of cloud–edge collaborative manufacturing are explained. In this paper, we also summarize 5 categories of key technology systems for cloud-edge collaborative manufacturing and 21 supporting key technologies. Under the framework of the above, a cloud–edge collaborative manufacturing for 3D printing was developed, and an application scenario for the petroleum equipment field was constructed. In a word, we believe the cloud-edge collaborative manufacturing will offer a new opportunity for the development of manufacturing network, digitalization and intelligence, providing a new technical path for the evolution of cloud manufacturing model and further promoting precision manufacturing services anytime, anywhere, and on demand.

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来源期刊
Robotics and Computer-integrated Manufacturing
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.
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