Abstract
Healthcare areas require high quality levels of lighting, and visual comfort. The current reality prevents access to these areas, so the use of wireless measurement systems has become a necessity . In this work, we present the design and characterization of a wireless illuminance meter that uses a BH1750 ambient light sensor and an ESP32 processor that allow data to be sent in real-time through IoT. The illuminance meter characterization showed that the error sources such as background radiation, shot noise, thermal noise are small enough and do not affect the measurement system and that the linearity of the sensor is high. On the other hand, we verify that the main source of error is given by the amount of oblique light that reaches the sensor (cosine correction) which could significantly error. Finally, we demonstrate that with an appropriate adjustment factor a high-performance illuminance meter with low errors can be achieved.
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Araguillin, R., Toapanta, A., Juiña, D., Silva, B. (2022). Design and Characterization of a Wireless Illuminance Meter with IoT-Based Systems for Smart Lighting Applications. In: Botto-Tobar, M., Zambrano Vizuete, M., Diaz Cadena, A., Vizuete, A.Z. (eds) Latest Advances in Electrical Engineering, and Electronics. Lecture Notes in Electrical Engineering, vol 933. Springer, Cham. https://doi.org/10.1007/978-3-031-08942-8_10
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DOI: https://doi.org/10.1007/978-3-031-08942-8_10
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