A System for Ultraviolet Monitoring, Alert, and Prediction

Abstract

© 2018 IEEE. The objective of this research is to develop an Ultraviolet monitoring, alert, and prediction system (UV-MAPs). This system can measure UV-index, show heatmap of UV-index, alert on risk or effect from UV-index around user, predict UV-index, and show UV intensity on mobile application. UV-indexes are recorded between 6 a.m. and 6 p.m. around Mahidol University Salaya campus. The related data, i.e., UV intensity, temperature, humidity, and location are recorded from sensors. Then, the heatmap of UV-index is created. The future UV-indexes are predicted by linear regression. The outputs of prediction are sent to mobile application. The experimental results show that the predicted UV-index is very similar to the index that was predicted by a famous website. Heatmap can accurately illustrate UV-index around Mahidol University, Salaya campus. The data from many sensors are recorded and they are used for training and testing. Moreover, mobile application can alert when users are in the risked UV-index area.