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1. 闽南师范大学 物理与信息工程学院, 福建 漳州 363000
2. 福建省光电材料与器件应用行业技术开发基地, 福建 漳州 363000
收稿日期:2019-07-10,
修回日期:2019-08-04,
网络出版日期:2019-12-05,
纸质出版日期:2019-12-05
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沈雪华, 陈焕庭, 陈赐海等. 白光LED光谱特性及司辰节律因子[J]. 发光学报, 2019,40(12): 1514-1522
SHEN Xue-hua, CHEN Huan-ting, CHEN Ci-hai etc. Spectral Characteristics and Circadian Action Factor of White LEDs[J]. Chinese Journal of Luminescence, 2019,40(12): 1514-1522
沈雪华, 陈焕庭, 陈赐海等. 白光LED光谱特性及司辰节律因子[J]. 发光学报, 2019,40(12): 1514-1522 DOI: 10.3788/fgxb20194012.1514.
SHEN Xue-hua, CHEN Huan-ting, CHEN Ci-hai etc. Spectral Characteristics and Circadian Action Factor of White LEDs[J]. Chinese Journal of Luminescence, 2019,40(12): 1514-1522 DOI: 10.3788/fgxb20194012.1514.
为分析白光LED的光-电-热特性及其变化,在热沉温度和驱动电流可控的条件下,测试了温度、电流对白光LED光谱分布的影响,建立了白光LED光功率和光谱蓝白比(蓝光光谱光功率与白光光谱光功率的比值)预测模型。相关性分析显示光谱蓝白比、色温及司辰节律因子之间高度相关,光谱蓝白比与色温、光谱蓝白比与司辰节律因子均存在线性关系,表明由光谱分布变化预测光谱色温漂移及其非视觉生物效应的可能性。实验结果表明,白光LED光功率、蓝白比、色温及司辰节律因子的预测值与实测值吻合较好,最大预测误差分别不超过4.22%、1.54%、1.31%和2.15%;同时,白光LED光谱蓝白比可作为一种有效手段,用于预测光谱色温及司辰节律因子,进而评估其光学特性和非视觉生物效应。
To analyze the optical-electrical-thermal characteristics of white LEDs
effects of temperature and current on the spectral power distribution of the white LED were tested under the controllable heatsink temperature and current. On the basis
prediction models for spectral optical power and blue-white ratio (the ratio between blue optical power and white optical power) of the white LED were proposed. Correlation analysis proved that the blue-white ratio was highly correlated with the correlated color temperature (CCT) as well as circadian action factor (CAF). Moreover
linear relationships both exist between blue-white ratio and CCT
and between blue-white ratio and CAF. It indicates the possibility which qualitatively predicting color temperature drift and non-visual biological effects of the white spectrum from changing spectral power distribution. Experimental results show that
the maximum prediction errors of spectral optical power
blue-white ratio
CCT and CAF of the white LED were within 4.22%
1.54%
1.31% and 2.15%
respectively. Meanwhile
the spectral blue-white ratio can be used as an effective method to predict CCT and CAF of the spectrum
and thus to evaluate the spectral optical properties and non-visual biological effects.
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