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Sökning: L773:1004 132X

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2.
  • Liu, Yongkui, et al. (författare)
  • A Revisit to Cloud Manufacturing
  • 2018
  • Ingår i: Zhongguo Jixie Gongcheng/China Mechanical Engineering. - : China Mechanical Engineering Magazine Office. - 1004-132X. ; 29:18, s. 2226-2237
  • Tidskriftsartikel (refereegranskat)abstract
    • Since the concept of cloud manufacturing was proposed in 2010,relevant researches were ongoing for more than eight years,and much progresses were made.However,existing studies indicated that there lacked common understandings of a number of critical issues in cloud manufacturing among researchers.There still lacked clear and concrete ideas for implementation of cloud manufacturing.There were also a number of different definitions for cloud manufacturing.Motivated by this,the aforementioned issues were re-discussed and an alternative definition of cloud manufacturing was presented.Finally,some key issues of cloud manufacturing to be addressed in the future were put forward.
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3.
  • Shi, Y., et al. (författare)
  • 5G Applications of Intelligent Manufacturing Scenarios
  • 2020
  • Ingår i: Zhongguo Jixie Gongcheng/China Mechanical Engineering. - : China Mechanical Engineering Magazine Office. - 1004-132X. ; 31:2, s. 227-236
  • Tidskriftsartikel (refereegranskat)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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