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Environment monitoring modules with fire detection capability based on IoT methodology
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Orientador(es)
Resumo(s)
Worldwide, forests have been devastated by fires in recent years. Whe- ther by human intervention or for other reasons, the history of burned areas is increasing year after year, degrading fauna and flora. For this reason, it is vital to detect an early ignition so that firefighters can act quickly, reducing the impacts caused by forest fires. The proposed system aims to improve the nature monitoring and to assist the existing surveillance systems through Wireless Sensor Network. The network formed by the set of sensors has the potential to identify forest ignitions and, consequently, alerts the authorities through LoRaWAN communication. This work presents a prototype based on low-cost technology, which can be used in areas that require a high density of modules. Tests with a Wireless Sensor Network made up of nine prototypes demonstrate its effectiveness and robustness in terms of data transmission and collection. In this way, it is possible to apply this approach in Portuguese forests with a high level of forest fire risk, transforming them into Forests 4.0 concept. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
Descrição
Palavras-chave
Fire detection IoT Sensor modules Wildfires WSN
Contexto Educativo
Citação
Brito, Thadeu; Azevedo, Beatriz Flamia; Valente, Antonio; Pereira, Ana I.; Lima, José; Costa, Paulo (2021). Environment monitoring modules with fire detection capability based on IoT methodology. In 6th EAI International Conference on Science and Technologies for Smart Cities, SmartCity 2020. 372, p. 211 - 227