Forest fires have a great impact on the ecology. In order to reduce the loss, our team uses multi-sensor technology and DHT11 sensor to monitor the ambient temperature and humidity, which is transmitted to the mobile phone through Bluetooth device for real-time supervision. At the same time, the risk prediction model is built by mathematical modeling. Through research, the main cause of forest fires lies in the combustion of dead combustibles. Our team also conducted many experiments to obtain the relationship between the water content of dead combustibles and air humidity and temperature. Through mathematical modeling and multi-logistics algorithm, the fire probability is calculated to realize risk supervision and early warning.

Hongjie Li, Kexin Zhang. Forest fire prediction based on multi-sensor technology. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 7: 84-87. https://doi.org/10.25236/AJCIS.2023.060712.

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