Implementación de un sistema de procesamiento de imágenes para determinar el factor de corrección de nubosidad para el IUV en la escuela de Informática y Electrónica de la ESPOCH.

Abstract

This research aimed to determine the cloud modification factor (CFM) using a computational method. First, the cloudiness was quantified using digital image processing, and then this result was applied to the mathematical model of the ultraviolet radiation index (UVI) for clear sky. This work also presents the design and implementation of an image processing system to determine the cloudiness of the sky in octaves. The cloudiness, together with the type of clouds, allows us to determine the CFM. The cloud-based UVI is obtained by multiplying the CFM by the mathematical model of the clear-sky UVI. The system is made up of two subsystems that work in synchrony, one quantifies the IUV, and the other captures images of the sky, then these images are processed, and the cloudiness correction factor is determined. The photos were captured by a RaspberryPi v1.3 camera connected to a single board computer. An Arduino nano card and an ultraviolet radiation sensor, UVM30A, were used to measure UVI. The system designed is a contribution to the state of the art of meteorology since at present, the octaves of the sky are determined by a method that consists of the simple observation of the sky so, it is not reliable either accurate. The system designed overcomes this human limitation by allowing the octaves to be determined precisely. The contribution of this research is also that it is possible to estimate the IUV of Riobamba under a cloudy sky since the mathematical model of the UVI under a clear sky is known. It is recommended to study the clouded sky as it is quite a complicated task to predict the state of the clouds.