Coverage Optimizing of Cyber-Physical System for Coal Mine Fire Detection

Abstract

The present research has proposed an efficient coverage optimization strategy for cyberphysical system (CPS) on the basis of probability measuring and thermal detection range model, in order to improve the performance and achieve the maximization coverage rate of covert fire detection system in coal mine gob. A modified particle swarm optimization algorithm is chosen to perform an optimal design. Computational performances of different methods and coals are investigated and the influence of sensor errors on computational accuracy is compared. The results show that the proposed algorithm can guarantee the convergence of the global optimization coverage rate, and is proved to be superior in terms of searching quality and speed.