An Efficient Expert System for Proactive Fire Detection

Abstract

Earlier, there were many fire detection systems, which depend on reactive approach, that imply they actuate after the fire happened. The fundamental reason of fire being dangerous is that people do not get aware of it at the proper instance of the time. In this paper, an expert system is proposed to access the fire risk and give an outcome in the form of the impact range of fire. The core content of this research is dependent on rule-based system which works on proactive approach. By observing the values of the environment and fire metrics, fire range can be detected. For this expert system temperature, flaming front rate of spread, heat flux, etc., have been used. The experimental results have proved to be very promising regarding efficiency. The time taken for result generation of proposed system is 7 ms which is very less than that in existing systems. The performance of proposed fire detection system has been tested over the benchmark values of the fire metrics, and its outcomes demonstrate the severity of the fire.