Quality optimization of multi-color LED light sources

R. Srividya, Ciji Pearl Kurian, Akhila

Research output: Contribution to journalArticle

Abstract

Multicolor LEDs play an important role in the field of general lighting. These LEDs when mixed appropriately, can produce various Correlated color temperatures with different optical spectrums making it suitable for human centric lighting. Apart from focusing only on the quality of light which can improve work efficiency, increase concentration and change the person’s mood, human centric lighting should also take care of health hazards that a person might get when exposed to such light sources for a long time. The wavelength composition of an optical spectrum defines the quality of light and its suitability to be used for various applications. In this paper, we have proposed an optimization technique using Genetic Algorithm for the selection of appropriate LED wavelengths to match the target correlated color temperature (CCT) and luminous flux. The algorithm also controls the quality of spectrum by optimizing the intensity of blue light in the wavelength range of (400-500) nm thereby reducing blue light hazard. The result shows that for a target CCT of 5000K and flux of 500lm six different wavelength LEDs were selected by the algorithm optimizing the proportion of blue in the specified wavelength range. The process of LED modelling for creating the database for algorithm is also presented in this paper.

Original languageEnglish
Pages (from-to)1231-1237
Number of pages7
JournalJournal of Advanced Research in Dynamical and Control Systems
Volume11
Issue number1
Publication statusPublished - 01-01-2019

Fingerprint

Light emitting diodes
Light sources
Color
Wavelength
Lighting
Fluxes
Health hazards
Temperature
Hazards
Genetic algorithms
Chemical analysis

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Engineering(all)

Cite this

@article{2bb8121e029c4b1c95cadbb4694e69e9,
title = "Quality optimization of multi-color LED light sources",
abstract = "Multicolor LEDs play an important role in the field of general lighting. These LEDs when mixed appropriately, can produce various Correlated color temperatures with different optical spectrums making it suitable for human centric lighting. Apart from focusing only on the quality of light which can improve work efficiency, increase concentration and change the person’s mood, human centric lighting should also take care of health hazards that a person might get when exposed to such light sources for a long time. The wavelength composition of an optical spectrum defines the quality of light and its suitability to be used for various applications. In this paper, we have proposed an optimization technique using Genetic Algorithm for the selection of appropriate LED wavelengths to match the target correlated color temperature (CCT) and luminous flux. The algorithm also controls the quality of spectrum by optimizing the intensity of blue light in the wavelength range of (400-500) nm thereby reducing blue light hazard. The result shows that for a target CCT of 5000K and flux of 500lm six different wavelength LEDs were selected by the algorithm optimizing the proportion of blue in the specified wavelength range. The process of LED modelling for creating the database for algorithm is also presented in this paper.",
author = "R. Srividya and Kurian, {Ciji Pearl} and Akhila",
year = "2019",
month = "1",
day = "1",
language = "English",
volume = "11",
pages = "1231--1237",
journal = "Journal of Advanced Research in Dynamical and Control Systems",
issn = "1943-023X",
publisher = "Institute of Advanced Scientific Research",
number = "1",

}

Quality optimization of multi-color LED light sources. / Srividya, R.; Kurian, Ciji Pearl; Akhila.

In: Journal of Advanced Research in Dynamical and Control Systems, Vol. 11, No. 1, 01.01.2019, p. 1231-1237.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Quality optimization of multi-color LED light sources

AU - Srividya, R.

AU - Kurian, Ciji Pearl

AU - Akhila,

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Multicolor LEDs play an important role in the field of general lighting. These LEDs when mixed appropriately, can produce various Correlated color temperatures with different optical spectrums making it suitable for human centric lighting. Apart from focusing only on the quality of light which can improve work efficiency, increase concentration and change the person’s mood, human centric lighting should also take care of health hazards that a person might get when exposed to such light sources for a long time. The wavelength composition of an optical spectrum defines the quality of light and its suitability to be used for various applications. In this paper, we have proposed an optimization technique using Genetic Algorithm for the selection of appropriate LED wavelengths to match the target correlated color temperature (CCT) and luminous flux. The algorithm also controls the quality of spectrum by optimizing the intensity of blue light in the wavelength range of (400-500) nm thereby reducing blue light hazard. The result shows that for a target CCT of 5000K and flux of 500lm six different wavelength LEDs were selected by the algorithm optimizing the proportion of blue in the specified wavelength range. The process of LED modelling for creating the database for algorithm is also presented in this paper.

AB - Multicolor LEDs play an important role in the field of general lighting. These LEDs when mixed appropriately, can produce various Correlated color temperatures with different optical spectrums making it suitable for human centric lighting. Apart from focusing only on the quality of light which can improve work efficiency, increase concentration and change the person’s mood, human centric lighting should also take care of health hazards that a person might get when exposed to such light sources for a long time. The wavelength composition of an optical spectrum defines the quality of light and its suitability to be used for various applications. In this paper, we have proposed an optimization technique using Genetic Algorithm for the selection of appropriate LED wavelengths to match the target correlated color temperature (CCT) and luminous flux. The algorithm also controls the quality of spectrum by optimizing the intensity of blue light in the wavelength range of (400-500) nm thereby reducing blue light hazard. The result shows that for a target CCT of 5000K and flux of 500lm six different wavelength LEDs were selected by the algorithm optimizing the proportion of blue in the specified wavelength range. The process of LED modelling for creating the database for algorithm is also presented in this paper.

UR - http://www.scopus.com/inward/record.url?scp=85066014923&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85066014923&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:85066014923

VL - 11

SP - 1231

EP - 1237

JO - Journal of Advanced Research in Dynamical and Control Systems

JF - Journal of Advanced Research in Dynamical and Control Systems

SN - 1943-023X

IS - 1

ER -