Ruano, A. E.Ferreira, Pedro Miguel Frazão FernandesGomes, João Mealha2016-06-142016-06-1420112011http://hdl.handle.net/10400.1/8408Dissertação de mestrado, Engenharia Electrónica e Telecomunicações, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2011The aim of this study was to develop an intelligent sensor for aquiring temperature, solar radiation and cloudiness index data, and use these measured values to predict temperature and solar radiation in a near future. The prototype produced could ultimately be used in systems related to thermal comfort in buildings and the e cient and intelligent use of energy resources. So to incorporate these functionalities, a small and portable prototype was developed, which consisted in: a CCTV camera with a sh-eye lense for sky images aquisition; a computer of format mini-itx with a Linux operating system, for data aquisition and processing; a GPS to enable automatic use independent of the system's geographical position; a pyranometer for regular measurements of solar radiation; a temperature probe, for regular measurements of outdoor temperature; a shadow band to eliminate the sun's are e ect on sky images; Arduino, an open source electronics prototyping platform that aquires data from the temperature and solar radiation sensors, as well as processing the data provided by the GPS and controlling the shadow band; neural networks of the type NARX (not developed in this present study), which use the aquired data to forecast the cloudiness index, solar radiation and temperature, in the next four hours. The system was programmed to aquire data, both from the sensors and the camera, every five minutes.porInteligência artificialInstrumentaçãoTemperaturaRadiação solarNebulosidadeRedes neuronaismaster thesis