Characterization of Indoor Light Conditions by Light Source Classification
Characterization of Indoor Light Conditions by Light Source Classification
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DOI：
10.1109/jsen.2017.2699330
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发表时间：
2017-06-15
影响因子：
4.3
通讯作者：
Oelmann, Bengt
中科院分区：
文献类型：
--
作者：
Ma, Xinyu;Bader, Sebastian;Oelmann, Bengt
光条件的表征在环境光能收集系统可用能量水平的估计中起着重要作用。室内光照条件通常用照度来描述。然而，不同类型的光源可以产生相同的照度水平，这些光源辐射不同的光谱成分。这意味着基于它们的光谱响应，即使观察到相同的照度水平，太阳能电池板也可以产生不同的输出功率。我们提出了一种基于有限光谱信息来区分这些条件的方法。使用低成本的传感器，可以获得光条件的光谱特征，并用于对底层光源类型进行分类，从而可以更准确地估计太阳能电池板的响应。在室内常见光源和不同条件下对该方法进行了实验评估。评价结果表明，该方法能够区分被测光源，分类精度很高。此外，该方法可以在干扰有限的情况下准确地使用。这使得它成为使用光谱仪表征光条件的低成本替代方案，在空间分布的表征应用中使用光谱仪是不可行的。
The characterization of light conditions plays an important role in the estimation of available energy levels to ambient light energy harvesting systems. Indoor light conditions are commonly described by illuminance levels. The same illuminance levels, however, can be generated by different light source types, which radiate different spectral components. This means that based on their spectral response, solar panels can produce different output powers even though identical illuminance levels are observed. We propose a method to distinguish these conditions based on limited spectral information. Using low-cost sensors, spectral characteristics of the light condition can be acquired and used to classify the underlying light source type, which allows for a more accurate estimation of the solar panel response. The method was evaluated experimentally for a number of common indoor light sources and under different conditions. Evaluation results have shown that the method can be used to distinguish the light sources under test with very high classification accuracy. Moreover, the method can be used accurately in situations with limited interference. This makes it a low-cost alternative to the characterization of light conditions using spectrometers, the use of which is infeasible in spatially distributed characterization applications.