• DocumentCode
    3734378
  • Title

    Research and practice on Aluminum Industry 4.0

  • Author

    Bin Cao;Ziqian Wang;Haibo Shi;Yixin Yin

  • Author_Institution
    Guiyang Al. and Mg. Design & Research Institute Corp. Ltd., Guiyang, 550081, China
  • fYear
    2015
  • Firstpage
    517
  • Lastpage
    521
  • Abstract
    This paper presents a six-layer Aluminum Industry 4.0 architecture for the aluminum production and full lifecycle supply chain management. It integrates a series of innovative technologies, including the IoT sensing physical system, industrial cloud platform for data management, model-driven and big data driven analysis & decision making, standardization & securitization intelligent control and management, as well as visual monitoring and backtracking process etc. The main relevant control models are studied. The applications of real-time accurate perception & intelligent decision technology in the aluminum electrolytic industry are introduced.
  • Keywords
    "Decision support systems","Data models","Process control","Production","Industries","Sensors","Real-time systems"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2015 Sixth International Conference on
  • Print_ISBN
    978-1-4799-1715-0
  • Type

    conf

  • DOI
    10.1109/ICICIP.2015.7388226
  • Filename
    7388226