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基于5G边云协同的柔性智能制造技术方案
引用本文:沈云,丁鹏,薛裕颖,罗亮亮,杨勇.基于5G边云协同的柔性智能制造技术方案[J].移动通信,2021(2).
作者姓名:沈云  丁鹏  薛裕颖  罗亮亮  杨勇
作者单位:中国电信股份有限公司研究院;瑞斯康达科技发展股份有限公司
摘    要:柔性智能制造作为工业智能的代表,已成为精密电子制造业向智能化演进的趋势,同时5G、F5G(Fixed-5G)、边缘计算以及人工智能等ICT技术与OT技术的不断融合,为柔性智能制造提供了良好的使能环境。基于5G+F5G工业PON固移融合网络,构建工业端边云协同架构;面向SMT产线柔性智能生产需求,开展基于端边云协同的柔性智能制造技术方案研究,并在实际生产环境完成部署验证。希望提出的端边云协同架构及柔性智能制造技术方案能够对智能制造发展演进提供参考。

关 键 词:柔性智能制造  边云协同  固移融合  工业视觉  MEC

Flexible Intelligent Manufacturing Technology Solution Based on 5G Edge-Cloud Collaboration
Shen Yun,Ding Peng,Xue Yuyin,Luo Liangliang,Yang Yong.Flexible Intelligent Manufacturing Technology Solution Based on 5G Edge-Cloud Collaboration[J].Mobile Communications,2021(2).
Authors:Shen Yun  Ding Peng  Xue Yuyin  Luo Liangliang  Yang Yong
Affiliation:(Research Institute of China Telecom Corporation limited,Beijing 102209,China;Raisecom Technology Co.,Ltd.,Beijing 100094,China)
Abstract:As a representative of industrial intelligence, flexible intelligent manufacturing has become the intelligent evolution trend of the precision electronics manufacturing. The continuous integration of ICT technologies such as 5 G, Fixed-5 G(F5 G), edge computing, and artificial intelligence and OT technologies provides a perfect enabling environment for flexible intelligent manufacturing. Based on the 5 G+F5 G industrial passive optical network(PON) fixed-mobile convergence network, this paper firstly proposes an industrial end-edge-cloud collaborative architecture, based on which, a flexible intelligent manufacturing technology solution is then investigated for SMT production line with flexible and intelligent manufacturing requirements, and the deployment verification is completed in the actual production environment. It is expected that the proposed end-edge-cloud collaborative architecture and flexible intelligent manufacturing technology solutions can provide a reference for the development and evolution of intelligent manufacturing.
Keywords:Flexible Intelligent Manufacturing  Edge-Cloud Collaboration  Fixed-Mobile Convergence  Industrial Vision  MEC
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