Laboratory of Lighting Technology, Technical University of Darmstadt, Hochschulstr. 4a, 64289 Darmstadt, Germany.
Department of Population Health Science and Policy, Light and Health Research Center, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA.
Sensors (Basel). 2021 Apr 22;21(9):2950. doi: 10.3390/s21092950.
Intelligent systems for interior lighting strive to balance economical, ecological, and health-related needs. For this purpose, they rely on sensors to assess and respond to the current room conditions. With an augmented demand for more dedicated control, the number of sensors used in parallel increases considerably. In this context, the present work focuses on optical sensors with three spectral channels used to capture color-related information of the illumination conditions such as their chromaticities and correlated color temperatures. One major drawback of these devices, in particular with regard to intelligent lighting control, is that even same-type color sensors show production related differences in their color registration. Standard methods for color correction are either impractical for large-scale production or they result in large colorimetric errors. Therefore, this article shows the feasibility of a novel sensor binning approach using the sensor responses to a single white light source for cluster assignment. A cluster specific color correction is shown to significantly reduce the registered color differences for a selection of test stimuli to values in the range of 0.003-0.008 Δu'v', which enables the wide use of such sensors in practice and, at the same time, requires minimal additional effort in sensor commissioning.
智能室内照明系统致力于平衡经济、生态和与健康相关的需求。为此，它们依赖传感器来评估和响应当前的室内环境。随着对更专用控制的需求增加，并行使用的传感器数量大大增加。在这种情况下，本工作重点关注具有三个光谱通道的光学传感器，用于捕获照明条件的颜色相关信息，例如它们的色度和相关色温。这些设备的一个主要缺点是，即使是同类型的颜色传感器，在颜色注册方面也存在与生产相关的差异。用于颜色校正的标准方法要么不适合大规模生产，要么会导致较大的比色误差。因此，本文展示了一种使用单个白色光源的传感器响应进行聚类分配的新型传感器分箱方法的可行性。对于一组测试刺激，集群特定的颜色校正显著降低了已注册的颜色差异，使其值在 0.003-0.008 Δu'v'范围内，这使得此类传感器在实践中得到广泛应用，同时在传感器调试方面只需最小的额外工作。
