Published Paper Details:

Nowadays, fire accident is a very serious problem that can happen anytime and anywhere due to many people lose their lives. However, such fire alarm systems are sometimes false warning and the presence of fire classified as a false warning may act to the original actual indicate. Fire warning and alarm systems based on a combination of smoke sensors, flame sensors and alarm devices have been introduced to design a life safety system. An Adaptive neuro-fuzzy Inference System (ANFIS) is used to calculate the maximum likelihood of the true presence of fire and generate fire alert. The model includes sensors to collect important data from sensor nodes where fuzzy logic converts the raw data of a linguistic variable trained in ANFIS to obtain the probability of a fire occurrence. The proposed idea also generates alerts from a message sent directly to the user's Smartphone. The MATLAB-based simulation is used for experiments and the results show satisfactory output.