• DocumentCode
    466991
  • Title

    Intelligent Window Based on Embedded System

  • Author

    Tian, Jingwen ; Gao, Meijuan ; Li, Jin

  • Author_Institution
    Beijing Union Univ., Beijing
  • Volume
    2
  • fYear
    2007
  • fDate
    July 30 2007-Aug. 1 2007
  • Firstpage
    395
  • Lastpage
    399
  • Abstract
    An intelligent window based on the embedded system is introduced in this paper, the control system of which can automatically close or open the window according to the alteration of humidity and wind speed. In addition, network communication and network control functions can also be realized in this intelligent system. We established a fuzzy inference modeling with two inputs of temperature and wind speed. The network communication function extremely facilitated our remote monitoring. The system adopted ARM chip S3C2410 as main controller, and chip OV6630 of the Omnivision company as image sensor, and use step-motor for driving the window. More over, we use the Hall sensor for indicating the different positions of the window. Generally we use the fuzzy inference control and network control to realize the auto and remote moving of the window.
  • Keywords
    building management systems; embedded systems; fuzzy control; fuzzy reasoning; image sensors; microprocessor chips; ARM chip S3C2410; Hall sensor; OV6630; Omnivision company; control system; embedded system; fuzzy inference control; fuzzy inference modeling; image sensor; intelligent window; network communication; network control functions; remote monitoring; temperature; wind speed; Automatic control; Communication system control; Control systems; Embedded system; Humidity control; Intelligent networks; Intelligent sensors; Intelligent systems; Temperature sensors; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-0-7695-2909-7
  • Type

    conf

  • DOI
    10.1109/SNPD.2007.280
  • Filename
    4287716