Design of fire alarm system based on multi-source information fusion

In the occasion of outdoor warehouse and large scale indoor warehouse, the currently widely used infrared and smoke sensors for fire alarm may can not work properly for various kinds of interferences and noises, which is prone to error fire prediction or omission prediction and other problems. Based on the design of reliable flame recognition algorithm, the paper constructed practical fire alarm system based on multi-source information fusion. The system used time-division multiplexing technology to combine temperature sensor, photoelectric smoke detector and infrared CCD image detector into multi-source fire disaster detector group. It also utilized multi-source information fusion decision-making method to complete task of accurate prediction of fire level and alarm, which improves the reliability of fire alarm and decrease the false alarm rate.