Design And Implementation Of Vehicle Fire Alarm System Based On Data Fusion Technology

With the improvement and upgrading of the urban public transportation system,more and more citizens have chosen to drive or take a bus.but once a vehicle fires,the fire will spread rapidly,and the passengers and surrounding vehicles in the crisis will be safe,resulting in huge personnel.Casualties and economic losses.There are many false alarms in the traditional fire warning system.In recent years,cases of vehicle fires have increased year by year.so it is particularly important to establish a smart fire warning system.In this paper,aiming at the occurrence of fire in general vehicles,and analyzing the causes and characteristics of fires in vehicles,a fire monitoring and early warning system based on data fusion technology can be proposed.The system is divided into two parts:software and hardware.The hardware consists of sensing nodes and coordination nodes.The ZigBee sensor network is used to network the devices.The software is the PC-side PC control program.In the system design,a BP neural network-based fire warning algorithm is used to coordinate the three sensors.The working principle of the system is as follows:firstly,the environmental information data is collected by the sensing device,and then the environmental information is transmitted to the coordinator for processing and displayed in the LED screen and the upper computer program,and the system can set the threshold and fire warning through the fire warning algorithm.Once the fire is identified,an alarm will be issued.The key parts of the vehicle that are prone to fire are analyzed,and the part of the system applied to the vehicle is proposed,and the fire characteristic quantity monitored by the system is determined.Finally,the functional test of each part of the tire warning system and the simulation of the actual tire scene were carried out.The system can effectively monitor and analyze the vehicle fire situation,and make the system's shortcomings and the future expandable parts of the system.Summary and outlook.