Sistema para captura y retransmisión de datos de estaciones meteorológicas Davis basada en LoRa
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2025
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Abstract
Las estaciones meteorológicas Davis Vantage Pro2 son una de las soluciones más utilizadas para investigaciones científicas debido a su alta frecuencia de muestreo y fiabilidad de sus mediciones, aunque cuenta con algunas limitaciones a la hora de poder transmitir a distancias mayores de 300 metros.
Para solventar este problema de alcance, este Trabajo de Fin de Máster propone la utilización de redes como LoRaWAN basadas en LoRa para dotar mayor alcance de transmisión de estas estaciones y, a la vez, desarrollar un sistema para la recepción, almacenamiento y visualización de los datos obtenidos.
De este modo, este proyecto integra la adquisición de datos mediante la radio Davis, su retransmisión a través de nodos IoT de bajo consumo y, finalmente, la gestión de la información en un nodo central que aloja tanto la base de datos como la aplicación web de consulta.
The Davis Vantage Pro2 weather stations are among the most widely used solutions for scientific research due to their high sampling frequency and the reliability of their measurements. However, they have certain limitations when it comes to transmitting data over distances greater than 300 meters. To overcome this range limitation, this Master’s Thesis proposes the use of networks such as LoRaWAN, based on LoRa technology, to extend the transmission range of these stations. Additionally, it aims to develop a system for the reception, storage, and visualization of the collected data. In this way, the project integrates data reception via the Davis radio, retransmission through low-power IoT nodes, and finally, information management at a central node that hosts both the database and the web application for data visualization and analysis
The Davis Vantage Pro2 weather stations are among the most widely used solutions for scientific research due to their high sampling frequency and the reliability of their measurements. However, they have certain limitations when it comes to transmitting data over distances greater than 300 meters. To overcome this range limitation, this Master’s Thesis proposes the use of networks such as LoRaWAN, based on LoRa technology, to extend the transmission range of these stations. Additionally, it aims to develop a system for the reception, storage, and visualization of the collected data. In this way, the project integrates data reception via the Davis radio, retransmission through low-power IoT nodes, and finally, information management at a central node that hosts both the database and the web application for data visualization and analysis
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Trabajo de Fin de Master en Internet de las Cosas, Facultad de Informática UCM, Departamento de Arquitectura de Computadores y Automática, Curso 2025/2026













