The Apply of a Fire Alarm System Based on Mmultisensor Data Fusion Technology
Guang Li · Journal of Hebei University of Technology · 2010
According to the problems in fire alarm system,the paper proposed a multi-sensor data fusion technology based on neural network and theory of evidence,and gave the proving through the simulation result of input signal.The technology can greatly improve the fire discrimination capability,and reduce the false positive rate of fire effectively.Proposed a multisensor data fusion technology,which is based on neural network and D-S evidence theory,it thoroughly abstracts the data fusion technology.The simulated results of imitated really input information confirmed that the multisensor data fusion technology is used BP neural network and D-S evidence theory can accurately forecast fire,effectivly lower false alarm rate,and it reached the expected better results.