Climate change and the increasing urbanization of rural areas have raised the risk of wildfires, causing significant damage to the environment and biodiversity. This article proposes the implementation of a monitoring system based on IoT technologies and predictive mathematical models, designed to detect environmental conditions conducive to the development of fires. The system utilizes a network of sensors that collect data on parameters such as temperature, humidity, and wind speed, processed in real time to predict the propagation of a fire. Adopting this system could significantly improve the response capabilities of authorities and help mitigate environmental damage.
Forest fire prevention: Application of mathematical models for the realization of an IoT based monitoring system
Scuro, Carmelo
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2024-01-01
Abstract
Climate change and the increasing urbanization of rural areas have raised the risk of wildfires, causing significant damage to the environment and biodiversity. This article proposes the implementation of a monitoring system based on IoT technologies and predictive mathematical models, designed to detect environmental conditions conducive to the development of fires. The system utilizes a network of sensors that collect data on parameters such as temperature, humidity, and wind speed, processed in real time to predict the propagation of a fire. Adopting this system could significantly improve the response capabilities of authorities and help mitigate environmental damage.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
