Conservation of the natural ecosystem is a hot topic that is receiving increasing attention not only from the scientific community, but from the entire world population. Forests and woodlands are major contributors to climate change mitigation, able to absorb significant amounts of carbon dioxide. This paper proposes a novel real-time fire monitoring and detection system based on Digital Mobile Radio (DMR) nodes and a Social Internet of Things (SIoT) platform on which fire detection decision making algorithms have been implemented. The results obtained by employing a K-Nearest Neighbors (KNN) algorithm and a Recurrent Neural Network (RNN) show the ability to detect the slightest variation in the observed parameters, determining the direction and speed of fire propagation with an accuracy of more than 98%.
A Social IoT-Based Solution for Real-Time Forest Fire Detection / Carta, F.; Loru, D.; Putzu, M.; Zidda, C.; Fadda, M.; Girau, R.; Anedda, M.; Giusto, D. D.. - (2023), pp. 15-20. (Intervento presentato al convegno 13th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2023 tenutosi a deu nel 2022) [10.1109/ICCE-Berlin58801.2023.10375667].
A Social IoT-Based Solution for Real-Time Forest Fire Detection
Loru D.;Fadda M.;Anedda M.
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2023-01-01
Abstract
Conservation of the natural ecosystem is a hot topic that is receiving increasing attention not only from the scientific community, but from the entire world population. Forests and woodlands are major contributors to climate change mitigation, able to absorb significant amounts of carbon dioxide. This paper proposes a novel real-time fire monitoring and detection system based on Digital Mobile Radio (DMR) nodes and a Social Internet of Things (SIoT) platform on which fire detection decision making algorithms have been implemented. The results obtained by employing a K-Nearest Neighbors (KNN) algorithm and a Recurrent Neural Network (RNN) show the ability to detect the slightest variation in the observed parameters, determining the direction and speed of fire propagation with an accuracy of more than 98%.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
