| The concept of Internet of vehicles originates from Internet of things.As an important branch of Internet of things in intelligent transportation technology,it has developed rapidly in recent years thanks to national policies and automobile development trend.Through the new generation of information and communication technology,the Internet of vehicles causes the integration and interconnection of people,vehicles and roads.With the advent of the era of big data computing,data mining technology,privacy security technology,green energy-saving technology have also joined the development of the Internet of vehicles.In the Internet of vehicles system,information flows in all directions.Through the information processing and data mining of big data,information fusion processing and comprehensive and effective utilization are realized.At present,the popular Internet of vehicles related products on the market are based on user entertainment,positioning navigation,fault warning,etc.,but the current trend of Internet of vehicles has shifted to assisted driving.Now and in the future,vehicle network plays a role in traffic safety,enterprise management,intelligent logistics and UBI business,which also makes the Internet more practical.The in-depth research of the Internet of vehicles in the field of traffic safety focuses on the big data analysis algorithm.Whether it is the traffic scheduling research in the macro level,or the driving behavior research in the micro level,etc.,it is making full use of the algorithm to make contributions to traffic safety,and its behavior subject is the relevant researchers serving various fields of traffic.With various reasons,in the implementation of the vehicle background monitoring management system,most of attention is on the monitoring level,and the data processing is at a relatively shallow level.Commendably,in the aspect of experimental research,it starts to face the big data processing,and dedicated to presenting the research results on the platform,applying to the actual vehicle development,and enterprise management to provide services for concerned users.In this paper,based on this topic background,significance,status quo of new energy vehicles background management monitoring system has carried on the thorough analysis,design system function demand,finish car terminal data transmission and related database building,data communication,etc.,differences from the previous monitoring system which focuses on the interaction between thevehicle and the background data,the focus of this topic is on the realization of the system analysis function,which is to weaken the direct display of the system to the vehicle collection information,but to strengthen the display of the data processing and analysis results through the algorithm.The core of this subject is the analysis and processing algorithm of data and the coupling of data into the system program,which mainly includes the driving condition of vehicles,driving behavior analysis,driving style classification and so on.The B/S(browser/server)architecture is used to display the above data processing results.In this mode,the system is implemented by computer network language technology. |