基于城市全域智慧停车数据模型构建研究

Research on building a data model for urban global intelligent parking

在当前城市机动车保有量迅猛增加的形势下,建设城市级的智慧停车运营管理系统势在必行。文章基于城市现有的智慧停车系统产生的数据进行深度挖掘,在原有系统的以停车收费为主的功能基础上,系统整合了大数据云计算技术、AI技术、数字孪生技术等,把静态的停车数据整合激活,能更加有效地服务城市停车治理及项目公司管理增效,使城市停车管理发生深刻变革,停车向着智能化、科学化的方向发展。

Under the current situation of the rapid increase of urban motor vehicle ownership,it is imperative to build a city-level intelligent parking operation and management system.This research topic based on the existing wisdom of urban parking system data depth mining,in the original system of parking charge function on the basis of the system integrates the big data cloud computing technology,AI technology,digital twin technology,etc.,the static parking data integration activation,for more effective service urban parking management and project company management efficiency,to make the city parking management profound changes,parking toward thedirection of intelligent,scientific development.