Abstract
This reserch proposes a method to provide an appropriate illuminance and color temperature in an office lighting environment for individual workers. For the control algorithm, based on the optimization method called Simulated Annealing (SA), a method including a neighborhood design mechanism for the design variables instead of a temperature parameter was used. In addition, for changes in the luminous intensity of high color temperature light and low color temperature light, five neighborhoods were adaptively used. Through the experiment using the daylight color fluorescent lamps and warm white color fluorescent lamps, the illuminance and color temperature converged into the target values.
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Tomishima, C., Miki, M., Ashibe, M., Hiroyasu, T., Yoshimi, M. (2010). Distributed Control of Illuminance and Color Temperature in Intelligent Lighting System. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artifical Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13232-2_50
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DOI: https://doi.org/10.1007/978-3-642-13232-2_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13231-5
Online ISBN: 978-3-642-13232-2
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