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Optimal radiant flux selection for multi-channel light-emitting diodes for spectrum-tunable lighting

机译:光谱可调照明的多通道发光二极管的最佳辐射通量选择

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摘要

To synthesise a spectrum with a given radiant flux by multi-channel light-emitting diodes, different light-emitting diodes should have different radiant fluxes to maximise the light-emitting diode flux utilisation rate defined by the radiant flux of the light-emitting diode's contribution to the synthesised spectrum divided by the rated radiant flux of this light-emitting diode. The optimal rating radiant flux algorithm for each light-emitting diode is achieved by applying the norm-reducing process and full-search method to the norm region of the spectra. As a result, light-emitting diodes with a broader full-width half maximum, such as phosphor-converted light-emitting diodes, are usually set at a high power level and the rest of the light-emitting diodes can be set to either medium or low power levels. Furthermore, the high-power light-emitting diode can be decomposed to some low-power light-emitting diodes to reduce both heat generated and light-emitting diode price.
机译:为了通过多通道发光二极管合成具有给定辐射通量的光谱,不同的发光二极管应具有不同的辐射通量,以最大化由发光二极管贡献的辐射通量定义的发光二极管通量利用率。合成光谱除以该发光二极管的额定辐射通量。通过对光谱的范数区域应用降范数处理和全搜索方法,可以实现每个发光二极管的最佳额定辐射通量算法。结果,通常将具有半峰全宽的发光二极管(例如,磷光体转换的发光二极管)设置为高功率电平,而将其余的发光二极管设置为任何一种介质。或低功率水平。此外,可以将高功率发光二极管分解为一些低功率发光二极管,以降低产生的热量和发光二极管的价格。

著录项

  • 来源
    《Lighting Research & Technology》 |2014年第4期|434-452|共19页
  • 作者

    N-C Hu; Y-C Feng; CC Wu; SL Hsiao;

  • 作者单位

    Department of Electronic Engineering and Intelligent Building Research Center, National Taiwan University of Science and Technology, 43 Keelung Road, Sec 4, Taipei, Taiwan, ROC;

    Department of Electronic Engineering and Intelligent Building Research Center, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC;

    Department of Electronic Engineering and Intelligent Building Research Center, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC;

    Department of Electronic Engineering and Intelligent Building Research Center, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC;

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