基于大数据和人工智能的新能源汽车运行监测云平台研究

Research on Operation Monitoring Cloud Platform of New Energy Vehicle Based on Big Data and Artificial Intelligence

近几年电动汽车快速发展,传统的充电运行管理系统运行模式已经不能完全满足充电汽车用户的需求.因此,可搭建新能源汽车运行监测云平台,将人工神经网络技术引入其中为电动汽车运营服务.借助数据库相关技术,基于SpringMVC、Spring、MyBatis(SSM)架构体系提出一套新能源汽车运行监测云平台方案,并且提供详细的软件功能方案和部署方案,为新能源运营商提供IT架构支持,同时为大数据分析做必要的存储和计算资源建设.

With the development of electric vehicles,the number of charging vehicles has exceeded that of charging piles.The traditional charging operation management system can’t fully meet the needs of charging car users.In the present study,a new energy vehicle operation monitoring cloud platform is built based on artificial neural network technology.With the help of database related technology,a new energy vehicle operation monitoring cloud platform scheme based on SpringMVC,Spring and MyBatis(SSM)architecture is proposed.Comprehensive software functional solutions and deployment plans are also provided.Further more,IT architecture support is provided for new energy operators and the corresponding platform construction.Finally,necessary storage and computing resource are also introduced in this paper.