Operating Performance Assessment of Fire Alarm System Based on BP Neural Network

With the rapid development of super large buildings, monitoring of fire hidden danger is much more difficult than ever. Whether fire alarm system is effective or not directly affects the ability of controlling fire and protecting people's lives and property. Operating performance assessment of fire alarm system is to assess intact effectiveness of the system by inspection and test. Analytic hierarchy process (AHP) is used to establish index system of operating performance. BP neural network algorithm is used to calculate the weight of each index so as to establish the assessment model of operating performance. It shows that the assessment model achieves better performance by MATLAB simulation and can provide reference for the system design and management.