Khanh Tran Quoc, Vinh Trinh Quang, Bodrogi Peter
Department of Electrical Engineering and Information Technology, Laboratory of Adaptive Lighting Systems and Visual Processing, Technical University of Darmstadt, 64289, Darmstadt, Germany.
ERCO GmbH, 58507, Lüdenscheid, Germany.
Sci Rep. 2023 Sep 8;13(1):14858. doi: 10.1038/s41598-023-41371-3.
From the beginning of the [Formula: see text] century until today, the demand for lighting systems includes not only visual parameters (brightness, contrast perception, color quality), but also non-visual parameters. It is necessary to define the new non-visual parameters for the realization of the new concept of Human Centric Lighting (HCL) or Integrative Lighting. As a contribution to this approach, many international research groups have tried to quantify the non-visual parameters such as Circadian Stimulus by Rea et. al. in USA ([Formula: see text], [Formula: see text]), Melanopic Equivalent Daylight ([Formula: see text]) illuminance, mEDI of the CIE S 026/E:2018 or the latest formula by Giménez et al., for the nocturnal melatonin suppression. Therefore, it is necessary to analyze the correlation between these non-visual metrics and brightness metrics such as the equivalent luminance of Fotios et al., or the latest brightness model of TU Darmstadt so that scientists, lighting engineers and lighting system users can correctly apply them in their work. In this context, this paper attempts to investigate and analyze these correlations between the three metric groups based on the database of 884 light sources of different light source technologies and daylight spectra. The obtained results show that the latest Circadian Stimulus model of Rea et. al. [Formula: see text] with the improvement of Circadian Light [Formula: see text] ([Formula: see text]) has solved the disadvantage of [Formula: see text], especially for the interrupted point between warm and cold white (about [Formula: see text]) or the junction between negative and positive signal of the opponent channel ([Formula: see text]). Moreover, these three metrics of the three research groups contain a high correlation coefficient, so that one metric can be transformed by linear functions to the other two parameters.
从[公式：见文本]世纪初至今，对照明系统的需求不仅包括视觉参数（亮度、对比度感知、颜色质量），还包括非视觉参数。为实现以人为本的照明（HCL）或综合照明的新概念，有必要定义新的非视觉参数。作为对此方法的贡献，许多国际研究小组试图量化非视觉参数，例如美国的Rea等人提出的昼夜节律刺激（[公式：见文本]，[公式：见文本]）、黑素视等效日光照度（[公式：见文本]）、CIE S 026/E:2018的mEDI或Giménez等人提出的用于夜间褪黑素抑制的最新公式。因此，有必要分析这些非视觉指标与亮度指标之间的相关性，例如Fotios等人的等效亮度或达姆施塔特工业大学的最新亮度模型，以便科学家、照明工程师和照明系统用户能够在工作中正确应用它们。在此背景下，本文试图基于884种不同光源技术和日光光谱的光源数据库，研究和分析这三组指标之间的相关性。所得结果表明，Rea等人的最新昼夜节律刺激模型[公式：见文本]随着昼夜节律光[公式：见文本]（[公式：见文本]）的改进，解决了[公式：见文本]的缺点，特别是对于暖白和冷白之间的断点（约[公式：见文本]）或对立通道正负信号之间的交点（[公式：见文本]）。此外，这三个研究小组的这三个指标具有较高的相关系数，因此一个指标可以通过线性函数转换为其他两个参数。
