Research Article
Environment Monitoring Modules with Fire Detection Capability Based on IoT Methodology
@INPROCEEDINGS{10.1007/978-3-030-76063-2_16, author={Thadeu Brito and Beatriz Flamia Azevedo and Antonio Valente and Ana I. Pereira and Jos\^{e} Lima and Paulo Costa}, title={Environment Monitoring Modules with Fire Detection Capability Based on IoT Methodology}, proceedings={Science and Technologies for Smart Cities. 6th EAI International Conference, SmartCity360°, Virtual Event, December 2-4, 2020, Proceedings}, proceedings_a={SMARTCITY}, year={2021}, month={5}, keywords={WSN IoT Fire detection Sensor Modules Wildfires}, doi={10.1007/978-3-030-76063-2_16} }- Thadeu Brito
Beatriz Flamia Azevedo
Antonio Valente
Ana I. Pereira
José Lima
Paulo Costa
Year: 2021
Environment Monitoring Modules with Fire Detection Capability Based on IoT Methodology
SMARTCITY
Springer
DOI: 10.1007/978-3-030-76063-2_16
Abstract
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.
