Reliability Analysis of Swarm Self-security Intelligence System Based on Fault Tree and Monte Carlo Simulation

Abstract

Group autonomous security intelligent system is an improvement of the traditional security system. By establishing group autonomous security intelligent system, traditional security system fault tree model, using the Monte Carlo method to simulate the fault tree model, finally through the fault tree simulation calculation, matlab group autonomous security intelligent system and traditional security system reliability curve, inefficiency curve, the average fault-free working time (MTBF) and the importance of the components. The results show that the group autonomous security intelligent system lasts longer and the average fault-free working time is longer than the traditional security systems.