• DocumentCode
    2748889
  • Title

    Cooperative distributed demand control by environmental sensor network - Estimating the number of people by CO2 concentration -

  • Author

    Tachikawa, Tomokazu ; Oda, Akihiro ; Handa, Toshihiko ; Ichimura, Junichi ; Watanabe, Yuji ; Nishi, Hiroaki

  • Author_Institution
    Dept. of Syst. Design Eng., Keio Univ., Yokohama
  • fYear
    2008
  • fDate
    13-16 July 2008
  • Firstpage
    336
  • Lastpage
    341
  • Abstract
    KNIVES is a system for providing balanced power supply and effective demand control. This system controls the power of electric devices over the Internet, due to reduce total power consumption. For the control, KNIVES also considers indoor environmental affinity by using environmental sensors. In this paper, CO2 sensor is implemented on KNIVES terminal and it enables to measure CO2 concentration for assessing indoor vitiation. This paper verifies the effectiveness of this sensor by estimating the number of people. Also, the number of people is one of the parameter for effective control. Existing estimating method for counting the number of people, however, is difficult to install in a existing building. This paper describes the new estimating method for the number of people by CO2 concentration. As a result, this method can accomplish accurate measurement, and it can be applied to various applications for a future demand control.
  • Keywords
    biosensors; chemical sensors; control engineering computing; distributed control; environmental factors; wireless sensor networks; Internet; cooperative distributed demand control; environmental sensor network; environmental sensors; reduce total power consumption; Control systems; Distributed control; Energy consumption; Energy resources; Gas detectors; Humans; Power generation; Power supplies; Sensor systems; Temperature sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics, 2008. INDIN 2008. 6th IEEE International Conference on
  • Conference_Location
    Daejeon
  • ISSN
    1935-4576
  • Print_ISBN
    978-1-4244-2170-1
  • Electronic_ISBN
    1935-4576
  • Type

    conf

  • DOI
    10.1109/INDIN.2008.4618119
  • Filename
    4618119