• DocumentCode
    581494
  • Title

    Sensors, models and platform for ambient control

  • Author

    Stein, Denis ; Lehmann, Matthias ; Ploennigs, Joern ; Kabitzsch, Klaus

  • Author_Institution
    Inst. of Appl. Comput. Sci., Tech. Univ. Dresden, Dresden, Germany
  • fYear
    2012
  • fDate
    25-28 Oct. 2012
  • Firstpage
    4853
  • Lastpage
    4859
  • Abstract
    The future of ambient intelligence (AmI) brings new challenges in designing adequate control systems able to handle a diversity of sensors, and actuators. The paper analyzes on the example of a personalized climate control the classification of sensor, actuator and control approaches and derives a system architecture for an AmI-based control system.
  • Keywords
    actuators; ambient intelligence; control engineering computing; control system synthesis; sensors; software architecture; AmI-based control system; actuator classification; ambient control; ambient intelligence; control system design; personalized climate control; sensor classification; system architecture; Area measurement; IEEE 802.11 Standards; Radiofrequency identification; Reliability; Zigbee;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Montreal, QC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4673-2419-9
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2012.6389581
  • Filename
    6389581