基于雾计算的智能手机紫外线辐射测量

Bo Mei, Wei Cheng, Xiuzhen Cheng
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引用次数: 22

摘要

紫外线辐射对人体健康有很大的影响。现时,市民基本上透过天气预报获得有关紫外线辐射的资料。然而,天气预报只是对某一大区域提供粗略和平均的预测。由于手机相机中的CMOS传感器对紫外线非常敏感,手机有可能成为测量紫外线辐射的理想设备。本文介绍了一种仅利用手机摄像头即可测量紫外线辐射的方法。此外,利用雾计算,可以通过雾服务器对结果进行收集和本地修正,从而提供相对准确的紫外线测量。本文首先讨论了利用手机进行紫外测量的优点。然后,对理论基础进行了细致的阐述。后来,提供了一个可以在手机上实现的程序。此外,一个名为UV Meter的Android应用程序是基于该过程开发的。最后,在不同天气条件下进行了验证。结果表明,该方法是有效的,可以很容易地在手机上实现日常紫外线测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fog Computing Based Ultraviolet Radiation Measurement via Smartphones
Ultraviolet (UV) radiation has a great impact on human health. Nowadays, the public basically gets information about UV radiance through weather forecasts. However, weather forecasts just provide rough and average predication for a certain large region. Since CMOS sensors in mobile phone cameras are very sensitive to UV, mobile phones have potential to be ideal equipment to measure UV radiance. This paper introduced a method that can measure UV radiance by just using mobile phone cameras. In addition, by utilizing fog computing, results can be gathered and amended locally through fog server to provide relatively accurate UV measurement. In this paper, advantages of using mobile phones to do UV measurement were discussed at first. Then, theoretical foundations were meticulously illustrated. Later, a procedure that can be implemented in mobile phones was provided. Furthermore, an Android app called UV Meter was developed based on the procedure. At last, verification was conducted under different weather conditions. Results showed that the procedure is valid and can be easily implemented onto mobile phones for everyday UV measurement.
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