Paper
19 February 2018 Development of a low cost UV index datalogger and comparison between UV index sensors
L. M. Gomes, L. Ventura
Author Affiliations +
Proceedings Volume 10474, Ophthalmic Technologies XXVIII; 104741O (2018) https://doi.org/10.1117/12.2289153
Event: SPIE BiOS, 2018, San Francisco, California, United States
Abstract
Ultraviolet radiation (UVR) is the part of radiation emitted by the Sun, with range between 280 nm and 400 nm, and that reaches the Earth’s surface. The UV rays are essential to the human because it stimulates the production of vitamin D but this radiation may be related to several health problems, including skin cancer and ocular diseases like pterygium, photokeratitis, cataract and more. To inform people about UV radiation, it is adopted the Ultraviolet Index (UVI). This UVI consists in a measure of solar UV radiation level, which contributes to cause sunburn on skin, also known as Erythema, and is indicated as an integer number between 1 and 14, associated to categories from low to extreme respectively. The aim of this work was to develop a low cost UVI datalogger capable of measuring three different UVI sensors simultaneously, record their data with timestamp and serve the measures online through a dedicated server, so general public can access their data and see the current UV radiation conditions. We also compared three different UVI sensors (SGlux UV cosine, Skye SKU440 and SiLabs SI1145) between them and with meteorological models during a period of months to verify their compliance. With five months data, we could verify the sensors working characteristics and decide which among them are the most suitable for research purposes.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
L. M. Gomes and L. Ventura "Development of a low cost UV index datalogger and comparison between UV index sensors", Proc. SPIE 10474, Ophthalmic Technologies XXVIII, 104741O (19 February 2018); https://doi.org/10.1117/12.2289153
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KEYWORDS
Sensors

Ultraviolet radiation

Calibration

Analog electronics

Clouds

Data modeling

Databases

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