| [工程应用]智能制造场景的5G应用展望 |
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| 引用本文： | 史彦军,韩俏梅,沈卫明,WANG Lihui,WANG Xianbin. [工程应用]智能制造场景的5G应用展望[J]. 中国机械工程, 2020, 31(2): 227 |
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| 作者姓名： | 史彦军 韩俏梅 沈卫明 WANG Lihui WANG Xianbin |
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| 作者单位： | 1.大连理工大学机械工程学院，大连，1160242.华中科技大学数字制造装备与技术国家重点实验室，武汉，4300743.瑞典皇家技术学院（KTH）生产工程系，斯德哥尔摩，SE-100444.加拿大西安大略大学电气与计算机工程系，伦敦市，安大略省，N6A 3K7 |
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| 基金项目： | 国家重点研发计划资助项目（2018YFE0197700） |
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| 摘 要： | 为满足智能制造领域物联网当前发展的需求，研究了相应制造场景的5G应用技术。介绍了5G的关键技术，包括5G支持的应用场景、网络切片、网络功能虚拟化（NFV）/软件定义网络（SDN）、多接入边缘计算、设备对设备通信技术等；给出了基于扩展的信息物理系统5层框架，基于该框架分析了多个智能制造场景的5G应用（包括人机界面和生产信息技术、流程自动化、工厂自动化、物流和仓储、设备监控和维护等）；给出了以上应用的5G边缘计算开发框架，以集成上述场景；探讨了5G应用于智能制造场景所面临的多个挑战，以助于5G使能智能制造的落地应用。
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| 关 键 词： | 5G应用 智能制造 信息物理系统 网络切片 多接入边缘计算 |
5G Applications of Intelligent Manufacturing Scenarios |
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| SHI Yanjun,HAN Qiaomei,SHEN Weiming,WANG Lihui,WANG Xianbin. 5G Applications of Intelligent Manufacturing Scenarios[J]. China Mechanical Engineering, 2020, 31(2): 227 |
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| Authors: | SHI Yanjun HAN Qiaomei SHEN Weiming WANG Lihui WANG Xianbin |
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| Affiliation: | 1.Mechanical Engineering Department,Dalian University of Technology,Dalian,Liaoning,1160242.State Key Lab of Digital Manufacturing Equipment and Technology,Huazhong University of Science and Technology,Wuhan,4300743.Department of Production Engineering,Royal Institute of Technology(KTH),Stockholm,Sweden,SE-100444.Department of Electrical and Computer Engineering,Western University,London,Ontario,Canada,N6A 3K7 |
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| Abstract: | To meet the current development requirements of Internet of Things in intelligent manufacturing field, 5G application technologies of corresponding manufacturing scenarios was studied herein. Firstly, different aspects of 5G key technologies were overviewed, including 5G-supported application scenarios, network slicing, NFV/SDN, multi-access edge computing, and D2D. After presenting an extended five-level architecture of CPS, multiple 5G applications in intelligent manufacturing scenarios were analyzed, including human-machine interfaces and production information technologies, process automation, factory automation, logistics and warehousing, equipment monitoring and maintenance. Furthermore, a 5G-based edge computing development framework was proposed to achieve the integration of the above-mentioned application scenarios. Finally, the challenges faced by 5G in intelligent manufacturing were discussed, which is helpful to the implementation of 5G-supported intelligent manufacturing. |
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| Keywords: | 5G application intelligent manufacture Cyber physical systems(CPS) network slicing multi-access edge computing |
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