SVM-based Lithium Battery Compartment Fire Warning And Fire Extinguishing System

With the rapid development of electric vehicles,safety issues such as fire protection have also received increasing attention.As the power source of electric vehicles,the fire prevention of lithium battery bunkers has undoubtedly become the top priority of today's electric vehicle safety issues.The application of embedded technology and artificial intelligence technology to the fire prevention of electric vehicles is an important research direction of the current vehicle safety technology issues.Based on the embedded technology and the theory of SVM classifier theory,a lithium battery bunker fire warning and extinguishing system based on SVM is designed to improve the fire recognition accuracy and system response speed of electric vehicle lithium battery bunker.The main research contents of this paper are as follows:(1)Establish a software and hardware platform of lithium battery bunker fire warning and extinguishing system.According to the functional requirements of the system,the design scheme of software and hardware is determined,the selection of related components and related circuit design are carried out,the software architecture of the system is designed,and the interface driver of each functional module is compiled.(2)A fire recognition method based on SVM classifier is proposed.Firstly,the characteristics of lithium battery bunker fire are simulated and analyzed.According to this feature,a method of extracting temperature eigenvalues is proposed.The temperature eigenvalues and smoke concentration values are taken as input,and the classification probability of ignition and non-fire is taken as output.A fire recognition classifier based on SVM classifier is designed.The experimental study of fire recognition in lithium battery bunker environment shows that the SVM fire is designed.Disaster recognition classifier has good classification effect.The system recognizes and judges fire according to the classification results of SVM classifier.(3)An experimental study was conducted on the fire of the lithium battery compartment environment.The effects of system environmental information collection,real-time data display,data storage and other functional modules are tested.The experimental results show that the system has good sensitivity and stability,but also has a certain environmentaladaptability and anti-interference ability.The lithium battery bunker fire warning and extinguishing system studied in this paper has the advantages of fast response,high stability,strong environmental adaptability and anti-interference ability,and good market prospects.At the same time,this study provides a fire warning and extinguishing scheme based on artificial intelligence,which provides a reference for the research of electric vehicle safety.