Construcción de un prototipo inalámbrico de monitoreo meteorológico conformado por plataformas de hardware y software libre, asociado al análisis de sus datos para la predicción de temperatura mediante un método basado en Machine Learning

Abstract

This project discusses the construction and implementation of a meteorological prototype system located at the Instituto Geográfico Militar in Quito Ecuador, able to take values of temperature, relative humidity and atmospheric pressure; emulating the operation of a weather station PAROSCIENTIFIC MET 4-A. This prototype stores meteorological data in RINEX version 2.11 files, which can be viewed and downloaded from a server located in the Escuela Politécnica National. With the data obtained from the prototype, a predictive temperature model has been developed with algorithm based on Machine Learning. In addition, the influence exerted by these meteorological variables on the different atmospheric layers is analyzed; specifically, the tropospheric delay is analyzed with the model of Saastamoinen using the values predicted by the WEKA software. All the elements used in the construction of the prototype system are based on free hardware and software; same are detailed in the project, including the referential cost of the prototype.