Forest fire detection system based on Fuzzy Kalman filter

In large forest environment, the factors causing fire are uncertain and non-linear. If only use a single sensor to detect data or simply analyze the data collected by multiple sensors, the detection efficiency is low. In the process of forest fire detection, in order to detect the fire in the first time and fuse the multi-sensor data accurately, we propose a forest fire detection system based on Fuzzy Kalman filter. First of all, we integrate a variety of sensors and embedded processors together into a fire warning device, then we preprocess the collect data and input them into Kalman filter for filter fusion, carry out fuzzy reasoning on the probability of open flame and smoldering fire, and finally output the fire probability to judge whether the fire occur or not.