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Determination and Measurement of Melanopic Equivalent Daylight (D65) Illuminance (mEDI) in the Context of Smart and Integrative Lighting
In the context of intelligent and integrative lighting, in addition to the need for color quality and brightness, the non-visual effect is essential. This refers to the retinal ganglion cells ([Formula: see text]) and their function, which were first proposed in 1927. The melanopsin action spectrum...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255211/ https://www.ncbi.nlm.nih.gov/pubmed/37299729 http://dx.doi.org/10.3390/s23115000 |
Sumario: | In the context of intelligent and integrative lighting, in addition to the need for color quality and brightness, the non-visual effect is essential. This refers to the retinal ganglion cells ([Formula: see text]) and their function, which were first proposed in 1927. The melanopsin action spectrum has been published in CIE S 026/E: 2018 with the corresponding melanopic equivalent daylight (D65) illuminance ([Formula: see text]), melanopic daylight (D65) efficacy ratio ([Formula: see text]), and four other parameters. Due to the importance of [Formula: see text] and [Formula: see text] , this work synthesizes a simple computational model of [Formula: see text] as the main research objective, based on a database of 4214 practical spectral power distributions (SPDs) of daylight, conventional, LED, and mixed light sources. In addition to the high correlation coefficient [Formula: see text] of 0.96795 and the 97% confidence offset of 0.0067802, the feasibility of the [Formula: see text] model in intelligent and integrated lighting applications has been extensively tested and validated. The uncertainty between the [Formula: see text] calculated directly from the spectra and that obtained by processing the RGB sensor and applying the [Formula: see text] model reached ± 3.3% after matrix transformation and illuminance processing combined with the successful [Formula: see text] calculation model. This result opens the potential for low-cost RGB sensors for applications in intelligent and integrative lighting systems to optimize and compensate for the non-visual effective parameter [Formula: see text] using daylight and artificial light in indoor spaces. The goal of the research on [Formula: see text] sensors and the corresponding processing method are also presented and their feasibility is methodically demonstrated. A comprehensive investigation with a huge amount of color sensor sensitivities is necessary in a future work of other research. |
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