Research On Cloud Monitoring System Of Intelligent Vehicle Driving State Based On Internet Of Vehicles

In 2020,the number of domestic car ownership has reached 281 million.The huge car ownership has also brought about problems such as traffic congestion and frequent traffic accidents.The development of Internet of Vehicles and intelligent driving technology is the key to solving current problems.With the development of V2 X technology,the degree of single vehicle intelligence of automobiles continues to increase.Nevertheless,it is difficult to realize the functions of global optimization,global traffic planning,and over-distance perception that need to be realized in high-level autonomous driving.As a result,the Internet of Vehicles system solution combined with cloud computing technology has become a research hotspot today.The solution combines modern communication and network technology to realize V2 X intelligent information exchange and sharing,and collaboration among people,vehicles,roads,and clouds.Furthermore,the environmental perception,decision-making and control capabilities of smart cars will be greatly improved to promote the development of high-end autonomous driving and smart transportation technologies,thereby alleviating traffic congestion and improving traffic safety.Based on the Internet of vehicles and intelligent vehicles,this paper develops a cloud monitoring system for intelligent vehicle driving state based on the Internet of vehicles combined with cloud computing technology.The system collects vehicle data through the vehicle terminal,and uploads the data to the cloud based on TCP or Web Socket,and the cloud processes the data,and updates the back-end data to the front-end web page in real time through Web Socket or Ajax technology to realize vehicle status monitoring,data visualization and early warning Features.In the cloud,a PHP program for receiving,parsing,storing,filtering,and analyzing data on the back end of the server is written.The database is hierarchically designed,and a data table used to store various data of the system is created.Finally,with the help of HTML,CSS,Java Script webpage programming language,Highchart,j Query,Ajax,Auto Navi Map Java Script API and other front-end technologies,each front-end monitoring page is designed to display vehicle data in data tables,instrument diagrams,graphs,maps,etc.In the monitoring page.In addition,the data analysis algorithm mainly includes the safe distance algorithm and the improved BP algorithm in the Matlab environment.Finally,the cloud monitoring system was verified through a real-vehicle test experiment.The results show that: all the functions of the back end of the system and all the monitoring pages of the front end work normally.Analyzing the early warning data that appeared during the experiment,the system can give normal early warning of abnormal conditions.