Design And Implementation Of Data Management System And Big Data Processing For Urban Smart Parking

With more and more cars,the parking pressure in large and medium-sized cities is increasing.It is not realistic to simply increase the parking space,so the more efficient way is Smart Parking.As a sub-module of the background service of the Urban Smart Parking Service Platform（Smart Parking project）,this paper mainly designs the management mode of data in the Urban Smart Parking Service Platform。In the professional dimension,the data mainly involves the management of daily data and the processing of large-scale historical data.Correspondingly,the background data management requirements of the Parking Service Platform can be met through the Data Management System,the Big Data Platform,and the Real-time Processing and Visualization of Streaming Data.First of all,the Data Management System adopts the separation of front-end and backend,the back-end part uses Java ecological such as Spring Boot,Mybatis-Plus,and Shiro,and the front-end part uses Vue,Ant-design-vue,and Webpack.It mainly implements functions such as User Login,Authority Management,Data Management,and System Management.Secondly,Big Data Processing includes Big Data Platform and Real-time Big Data Processing and Visualization.The construction of the Big Data Platform mainly integrates multiple components by analyzing and comparing popular big data frameworks and initially designs a solution to meet most batch data processing business scenarios.In addition,the Real-time Big Data Processing and visualization module of Urban Smart Parking include real-time collection,real-time calculation,and real-time visualization among order data,parking space data,and traffic flow data.The model of "Data Management System + Big Data Platform + Real-time Processing and Visualization of Streaming Data",meets the needs of Urban Smart Parking data management,supports Smart Parking Background Services,improves information sharing,and relieves parking pressure.