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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials, Volume 31, Number 6(3) (2019)
Copyright(C) MYU K.K.
pp. 2061-2072
S&M1915 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2019.2414
Published: June 28, 2019

A Coupling Control Model of Color Temperature and Illumination in Naturally Lighted Room Based on Evolutionary Algorithm [PDF]

Qingcheng Lin, Caizi Luo, Huiling Cai, and Hui Xiao

(Received April 24, 2019; Accepted May 29, 2019)

Keywords: indoor light environment comfort, coupling control method, multiobject optimization algorithm

Indoor light environment comfort is evaluated using the illumination index, and the color temperature of building space is not specifically a requirement. However, previous studies have demonstrated that color temperature has a great impact on the human central nervous system, and regulating it can not only improve brain function, but also promote brain fatigue recovery. Owing to natural light dynamic change characteristics, the illumination and color temperature of building space that introduce natural light present a complex nonlinear coupling relationship. Moreover, the regional and seasonal characteristics of architecture aggravate the difficulty in the dynamic management and control of an architectural light environment. Thus, intelligent control technologies for natural lighting and artificial lighting are gradually attracting the attention of researchers in the field of intelligent building. However, coupling control methods for illumination and color temperature are not mature, with many engineering issues unresolved. Therefore, a new coupling model based on coupling parameters and synchronous control is proposed in this paper. The distribution uniformity between illumination and color temperature can be met simultaneously in a dynamic light environment. This work has an active role in the improvement of indoor light environment quality and further supplements the light quality evaluation index.

Corresponding author: Hui Xiao


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Qingcheng Lin, Caizi Luo, Huiling Cai, and Hui Xiao, A Coupling Control Model of Color Temperature and Illumination in Naturally Lighted Room Based on Evolutionary Algorithm, Sens. Mater., Vol. 31, No. 6, 2019, p. 2061-2072.



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