Design And Implementation Of Vehicle Monitoring System On Big Data Processing

In recent years,with the continuous development of society,the number of various types of cars is also increasing.Therefore,an effective vehicle monitoring system becomes necessary.This paper designs and implements a vehicle monitoring system based on large data processing,which provides the supervisors with the functions of vehicle management,monitoring,information collection and so on.The system adopts a variety of mainstream technologies,multi-level system architecture and modular design scheme,which improves the flexibility and extensibility of the monitoring system.It can be divided into two parts:large data real-time processing platform and data monitoring platform.A distributed,stable,scalable and high-performance large data real-time processing platform is designed and implemented by using message middleware technology Kafka,real-time computing technology Storm and other large data technologies.The data monitoring platform mainly includes four functional modules:vehicle management,real-time monitoring,traffic information collection and alarm.Vehicle management module:including vehicle equipment batch registration,suspension and recovery of vehicle operation,view of vehicle status information and other functions.Real-time monitoring module:show users in the form of charts and floating windows so as to improve the user experience.Supervisors can grasp the driving conditions of vehicles in real time and achieve powerful monitoring objectives.At the same time,it is very necessary to monitor the flow expenditure of the system.Traffic information acquisition module:acquisition task application,acquisition task issuance,suspension and recovery of vehicle acquisition tasks and other functions.Alarm module:realizes the functions of alarm and alarm configuration and realizes the real-time alarm business logic for vehicles in poor condition.At present,the monitoring system has been officially put into use in the company.It is responsible for monitoring the real-time running status of vehicles and the completion of traffic information collection tasks and will gradually expand the scope of monitoring.