Fire detection and isolation for intelligent building system using adaptive sensory fusion method

Abstract

Describes an algorithm and experimental results for detecting and isolating sensory failures for a fire detection system. In the fire system, we use two smoke sensors, two flame sensors and two temperature sensors to detect fire events. These sensors can be classified into two groups, and each group has one smoke sensor one flame sensor and one temperature sensor. The sensory failure and isolation techniques described in the paper are based on weight variation of the sensory adaptive fusion method. From the simulation and experimental implementation results, it demonstrates that the method can exactly find out which sensor is faulty and isolate it. That is to say, when a sensory failure occurs, the system can exactly locate the sensory failure.