Research on Real-Time Fire Prediction System using Multi-Sensor Data Fusion and Teaching Application

Fire is a frequent and heavy loss of disaster, fire early warning is the first line of defense against fire hazards, found that the fire and dispose of timely can significantly reduce fire hazards, reduce property losses and casualties. For the latent period of fire and early warning, it is the goal that people have been exploring. This paper proposes a fire real-time early warning model with combustion sound infrasound, temperature, humidity, smoke, flame, gas concentration of six sensor data fusion, the design of the early warning system hardware and computer applications, cell phone applications, through the system joint test, showed that the fusion system can be able to effectively identify the fire situation, ahead of the rapid response, with a certain degree of reliability. At the same time, the system design process is applied to the course teaching as an engineering case, which plays the role of scientific research to feed the teaching, and the students' engineering awareness and practical skills are enhanced.