An Industrial Fire Prediction System Based on Artificial Intelligence Technology

Abstract

A predictive system using artificial intelligent (AI) technique called the Particle Swarm Optimization (PSO) to predict fire outbreaks caused by electrical faults in Industrial environment was developed. The PSO technique belongs to a class of computing called Swarm Intelligence, and it is aimed at solving minimization problems. Results prove that PSO can be used to predict fire outbreak. Further work, the system has not been integrated into real time hardware.