Advertisement

Construction of Intelligent Lighting System Providing Desired Illuminance Distributions in Actual Office Environment

  • Fumiya Kaku
  • Mitsunori Miki
  • Tomoyuki Hiroyasu
  • Masato Yoshimi
  • Shingo Tanaka
  • Takeshi Nishida
  • Naoto Kida
  • Masatoshi Akita
  • Junichi Tanisawa
  • Tatsuo Nishimoto
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6114)

Abstract

An Intelligent Lighting System providing desired illuminance distributions at minimum electrical power was constructed in the actual office environment. The place of construction is the Area Planning Office in the headquarters building of Mitsubishi Estate Co., Ltd. in Otemachi, Tokyo. The floor area is about 240 square meters, and 26 lighting fixtures and 22 illuminance sensors are installed. One lighting fixture consists of neutral fluorescent lamp and light bulb fluorescent lamp, and the color temperature can be changed for each fixture. These devices are connected with the control PC and operate with an optimization algorithm. With the constructed system, individual illuminance was successfully provided to each office worker.

Keywords

Lighting Control Optimization System Construction Illuminance Office Environment 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Miki, M.: Design of intelligent artifacts: a fundamental aspects. In: Proc. JSME International Symposium on Optimization and Innovative Design (OPID 1997), pp. 1701–1707 (1997)Google Scholar
  2. 2.
    Panasonic’s Room Light Automatically Changes Brightness to Save Power, http://techon.nikkeibp.co.jp/english/NEWS_EN/20090129/164767/
  3. 3.
    Boyce, P.R., Eklund, N.H., Simpson, S.N.: Individual Lighting Control: Task Performance Mood and Illuminance. Journal of the Illuminating Engineering Society, 131–142 (2000)Google Scholar
  4. 4.
    Miki, M., Hiroyasu, T., Imazato, K., Yonezawa, M.: Intelligent Lighting Control using Correlation Coefficient between Luminance and Illuminance. In: Proc. IASTED Intelligent Systems and Control, vol. 497(078), pp. 31–36 (2005)Google Scholar
  5. 5.
    Shingo, T., Miki, M., Hiroyasu, T.: An evolutional optimization algorithm to provide individual illuminance in workplaces. In: 2009 IEEE International Conference on Systems, Man and Cybernetics, p. 941 (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Fumiya Kaku
    • 1
  • Mitsunori Miki
    • 2
  • Tomoyuki Hiroyasu
    • 3
  • Masato Yoshimi
    • 2
  • Shingo Tanaka
    • 1
  • Takeshi Nishida
    • 1
  • Naoto Kida
    • 1
  • Masatoshi Akita
    • 1
  • Junichi Tanisawa
    • 4
  • Tatsuo Nishimoto
    • 4
  1. 1.Graduate School of EngineeringDoshisha Univ. 
  2. 2.Department of Science and EngineeringDoshisha Univ. 
  3. 3.Department of Life and Medical SciencesDoshisha Univ. 
  4. 4.Mitsubishi Estate Co., Ltd.KyotoJapan

Personalised recommendations