Indoor fire automatic alarm system based on ZigBee technology and support vector machine
The indoor fire alarm system can only make judgments based on a small amount of sensor data,and is susceptible to interference from smoke,temperature,and other factors,leading to an increase in false alarm rates.On this basis,an indoor fire automatic alarm system is designed based on ZigBee technology and support vector machines.The sensor nodes are used to collect indoor smoke concentration and temperature information,and the collected information is forwarded to the ZigBee coordinator by means of ZigBee routing devices.The ZigBee network multipath routing algorithm based on load balancing is used to establish the information transmission path,and the information forwarded by the ZigBee routing device is transmitted into the support vector machine processing module.The support vector machine algorithm is used to process smoke concentration and temperature information to obtain the probability of indoor fire types in universities,and compare it with preset discrimination thresholds.When the probability of fire occurrence exceeds the threshold,the automatic alarm module will automatically issue an alarm.The experimental results show that the designed system has high accuracy in collecting fire information,long wireless network life cycle,excellent information transmission effect,and can effectively calculate the probability of indoor fire types in universities and automatically issue alarms.
万方数据
维普
