Research Group Solar and Wind Feasibility Technologies (SWIFT), Electromechanical Engineering Department, University of Burgos, Avda. Cantabria s/n, 09006 Burgos, Spain.
Defense University Center, Spanish Naval Academy, University of Vigo, Plaza España s/n, 36920 Marín, Spain.
Sensors (Basel). 2022 Sep 20;22(19):7107. doi: 10.3390/s22197107.
Natural illumination has an important place in home automation applications. Among other advantages, it contributes to better visual health, energy savings, and lower CO emissions. Therefore, it is important to measure illuminance in the most accurate and cost-effective way. This work compares several low-cost commercial sensors (VEML 7700, TSL2591, and OPT3001) with a professional one (ML-020S-O), all of them installed outdoors. In addition, a platform based on the Internet of Things technology was designed and deployed as a centralized point of data collection and processing. Summer months have been chosen for the comparison. This is the most adverse situation for low-cost sensors since they are designed for indoor use, and their operating range is lower than the maximum reached by sunlight. The solar illuminance was recorded every minute. As expected, the obtained bias depends on the solar height. This can reach 60% in the worst circumstances, although most of the time, its value stays below 40%. The positive side lies in the good precision of the recordings. This systematic deviation makes it susceptible to mathematical correction. Therefore, the incorporation of more sensors and data that can help the global improvement of the precision and accuracy of this low-cost system is left as a future line of improvement.
自然光在家庭自动化应用中占有重要地位。除了其他优点外，它有助于更好的视觉健康、节能和降低 CO 排放。因此，以最准确和最具成本效益的方式测量照度非常重要。本工作比较了几种低成本商业传感器（VEML7700、TSL2591 和 OPT3001）与一种专业传感器（ML-020S-O），它们都安装在户外。此外，还设计并部署了一个基于物联网技术的平台，作为数据集中收集和处理的中心点。选择夏季进行比较。这是对低成本传感器最不利的情况，因为它们是为室内使用而设计的，其工作范围低于阳光达到的最大值。太阳能照度每分钟记录一次。正如预期的那样，所得到的偏差取决于太阳的高度。在最坏的情况下，这种偏差可能达到 60%，尽管大多数时候，其值都保持在 40%以下。积极的一面在于记录的良好精度。这种系统偏差使其容易受到数学修正。因此，未来的改进方向是增加更多的传感器和数据，以帮助提高这种低成本系统的精度和准确性。
