• DocumentCode
    634983
  • Title

    Artificial intelligent control for indoor lighting basing on person number in classroom

  • Author

    Yifei Chen ; Qian Sun

  • Author_Institution
    Coll. of Inf. & Electr. Eng., China Agric. Univ., Beijing, China
  • fYear
    2013
  • fDate
    23-26 June 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Comfortable lighting in classroom can promote the better learning environment. Today, owner of school not only provides a stimulating environment where student will learn best, and but they must concern the energy saving. For the lighting control and energy saving in classroom, the new method of intelligent control lighting based on using artificial intelligent algorithm is presented in this paper. Based on the number of students entering classroom, the lighting can be intelligent controlled to work by artificial neural network which is used for control head of this system, and the frame of control system is presented, and paper discussed the model of artificial neural network control with MIMO. After simulation, the conclusion has gotten that the characteristic of control network meets for the request with ability of self-study and self-adaption, and the function of automatic adjusting indoor lighting depending on the persons number has been achieved.
  • Keywords
    MIMO systems; artificial intelligence; energy conservation; lighting control; neurocontrollers; MIMO; artificial intelligent control; artificial neural network control; classroom; comfortable lighting; energy saving; indoor lighting; intelligent control lighting; lighting control; person number; Artificial intelligence; Artificial neural networks; Intelligent control; Lighting; Lighting control; artificial intelligence; artificial neural network; intelligent lighting control; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ASCC), 2013 9th Asian
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4673-5767-8
  • Type

    conf

  • DOI
    10.1109/ASCC.2013.6606030
  • Filename
    6606030