From cloud manufacturing to cloud-edge collaborative manufacturing

被引:1
|
作者
Guo, Liang [1 ,2 ]
He, Yunlong [1 ]
Wan, Changcheng [3 ]
Li, Yuantong [1 ]
Luo, Longkun [1 ]
机构
[1] Southwest Petr Univ, Sch Mechatron Engn, Chengdu, Peoples R China
[2] Sichuan Shared Platform Oil & Gas Equipment Techno, Chengdu, Peoples R China
[3] Xihua Univ, Sch Mech Engn, Chengdu, Peoples R China
关键词
Cloud-edge collaboration; Cloud manufacturing; Cloud-edge cooperative scheduling; Cloud computing; Edge computing; Digital twin; MICROSERVICES; INTERNET;
D O I
10.1016/j.rcim.2024.102790
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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 cloudedge 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.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Cloud control for IIoT in a cloud-edge environment
    YAN Ce
    XIA Yuanqing
    YANG Hongjiu
    ZHAN Yufeng
    [J]. JournalofSystemsEngineeringandElectronics, 2024, 35 (04) : 1013 - 1027
  • [22] Cloud-Edge Collaborative Structure Model for Power Internet of Things
    Si Y.
    Tan Y.
    Wang F.
    Kang W.
    Liu S.
    [J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2020, 40 (24): : 7973 - 7979
  • [23] Intelligent method framework for 3D surface manufacturing in cloud-edge collaboration architecture
    Cai, Hongming
    Dong, Yanjun
    Zhu, Min
    Hu, Pan
    Hu, Haoyuan
    Jiang, Lihong
    [J]. IET COLLABORATIVE INTELLIGENT MANUFACTURING, 2024, 6 (03)
  • [24] Edge-cloud collaborative transfer of process knowledge for digital manufacturing monitoring
    Cao X.
    Yao B.
    He W.
    Chen B.
    Qing T.
    [J]. Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2022, 49 (06): : 152 - 163
  • [25] Reliable Function Computation Offloading in Cloud-Edge Collaborative Network
    Li, Shaonan
    Xie, Yongqiang
    Li, Zhongbo
    Qi, Jin
    Tian, Yumeng
    [J]. ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, ICA3PP 2023, PT II, 2024, 14488 : 433 - 451
  • [26] Collaborative Cloud-Edge Computation for Personalized Driving Behavior Modeling
    Zhang, Xingzhou
    Qiao, Mu
    Liu, Liangkai
    Xu, Yunfei
    Shi, Weisong
    [J]. SEC'19: PROCEEDINGS OF THE 4TH ACM/IEEE SYMPOSIUM ON EDGE COMPUTING, 2019, : 209 - 221
  • [27] A collaborative cloud-edge computing framework in distributed neural network
    Xu, Shihao
    Zhang, Zhenjiang
    Kadoch, Michel
    Cheriet, Mohamed
    [J]. EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2020, 2020 (01)
  • [28] Cloud-Edge Collaborative Continual Adaptation for ITS Object Detection
    Lian, Zhanbiao
    Lv, Manying
    Xu, Xinrun
    Ding, Zhiming
    Zhu, Meiling
    Wu, Yurong
    Yan, Jin
    [J]. SPATIAL DATA AND INTELLIGENCE, SPATIALDI 2024, 2024, 14619 : 15 - 27
  • [29] A CNN-Based Visual Sorting System With Cloud-Edge Computing for Flexible Manufacturing Systems
    Wang, Yuanbin
    Hong, Kangjie
    Zou, Jun
    Peng, Tao
    Yang, Huayong
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (07) : 4726 - 4735
  • [30] Cloud-edge Collaborative Structure Model for Power Internet of Things
    SI Yufei
    TAN Yanghong
    WANG Feng
    KANG Wenni
    LIU Shan
    [J]. 中国电机工程学报, 2020, (24) : 8234 - 8234