Design and Implementation of a Low-Cost Automatic Weather Station
Data
2020-10-23
Autores
Bernardes, Gabriel Francisco Lorençon Ribeiro 
Orientadores
Kimura, Bruno Yuji Lino
Tipo
Trabalho de conclusão de curso
Título da Revista
ISSN da Revista
Título de Volume
Resumo
Eventos meteorológicos põem vidas humanas em risco, especialmente quando pessoas residem em áreas suscetíveis a desastres naturais. Monitoramento destes eventos é uma tarefa importante que é executada em áreas vulneráveis com o uso de estações meteorológicas confiáveis. Tais estações são equipamentos montados em uma estrutura fixa em formato de mastro com um conjunto de sensores digitais e magnéticos conectados a um datalogger. Enquanto sensoriamento remoto a partir de dados de várias estações é importante, o custo de estações meteorológicas profissionais é extremamente elevado. Isso impõe um desafio para implantação e manutenção de estações meteorológicas para monitoramento de desastres naturais em larga escala. Este trabalho apresenta o projeto e a implementação de uma estação meteorológica automática desenvolvida completamente a partir de componentes facilmente disponíveis e tecnologias open-source de IoT.
Weather events put human lives at risk mostly when people might reside in areas susceptible to natural disasters. Weather monitoring is a pivotal task that is accomplished in vulnerable areas with support of reliable weather stations. Such stations are front-end equipment typically mounted on a fixed mast structure with a set of digital and magnetic weather sensors connected to a datalogger. While remote sensing from a number of stations is paramount, the cost of professional weather instruments is extremely high. This imposes a challenge for large-scale deployment and maintenance of weather stations for broad natural disaster monitoring. This work presents the design and implementation of a Low-CostAutomatic Weather Station system (LCAWS) entirely developed from commercial-off-the-shelf and open-source IoT technologies.
Weather events put human lives at risk mostly when people might reside in areas susceptible to natural disasters. Weather monitoring is a pivotal task that is accomplished in vulnerable areas with support of reliable weather stations. Such stations are front-end equipment typically mounted on a fixed mast structure with a set of digital and magnetic weather sensors connected to a datalogger. While remote sensing from a number of stations is paramount, the cost of professional weather instruments is extremely high. This imposes a challenge for large-scale deployment and maintenance of weather stations for broad natural disaster monitoring. This work presents the design and implementation of a Low-CostAutomatic Weather Station system (LCAWS) entirely developed from commercial-off-the-shelf and open-source IoT technologies.