[1]段芃芃,刘 锂.智能充电站管理系统设计与研究[J].计算机技术与发展,2019,29(06):200-204.[doi:10. 3969 / j. issn. 1673-629X. 2019. 06. 041]
　DUAN Peng-peng,LIU Li.Design and Research of Intelligent Charging Station Management System[J].,2019,29(06):200-204.[doi:10. 3969 / j. issn. 1673-629X. 2019. 06. 041]
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智能充电站管理系统设计与研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年06期
页码:
200-204
栏目:
应用开发研究
出版日期:
2019-06-10

文章信息/Info

Title:
Design and Research of Intelligent Charging Station Management System
文章编号:
1673-629X(2019)05-0200-05
作者:
段芃芃; 刘 锂
成都理工大学 工程技术学院,四川 乐山 614007
Author(s):
DUAN Peng-peng; LIU Li
Engineering Technical College of Chengdu University of Technology,Leshan 614007,China
关键词:
电动汽车充电站; 智能管理; GIS 技术; 分布式资源服务
Keywords:
electric vehicle charging station; intelligent management; GIS technology; REST
分类号:
TP319
DOI:
10. 3969 / j. issn. 1673-629X. 2019. 06. 041
摘要:
随着电动汽车技术的发展和环境的问题,电动汽车的应用正加速发展,然而公共充电站的管理面临位置信息、电量信息、维护信息、充电系统状态等多项信息资源共享难的问题。 结合 GIS 技术、空间分析算法、分布式资源服务技术、物联网技术,文中设计和研究了电动汽车充电站智能管理系统,实现了充电站位置信息查询、智能选择充电站、最短路径导航、电量信息实时查询、充电设备使用时间、智能提示维护、维护智能管理以及健康状态智能提示等功能,有效解决了公共充电站管理中存在的问题。 以峨眉山市为实例进行验证和测试,对实现的系统进行了模拟测试,结果表明各项功能实现效果好,系统智能程度高。 该研究为电动汽车充电站管理提供了一种管理思路和技术参考。
Abstract:
With the development of electric vehicle technology and environmental problems, the application of electric vehicle is accelerating. However,the management of public charging station is faced with difficulties in sharing multiple information resources,such as location information,power information,maintenance information and charging system status. Combined with GIS technology,spatial analysis algorithm,distributed resource service technology,Internet of Things technology,we design and study an electric vehicle charging station intelligent management system to realize the charging station location information query,intelligent selection charging station,the shortest path navigation,real - time information query,charging equipment usage time,intelligent prompt maintenance,maintenance intelligent management and health state intelligence prompt,which effectively solves the existing problems in the management of public charging station. Taking Emeishan City as an example,the system has been simulated and tested. The effect of each function is excellent,and the intelligence of the system is high. The research in this paper provides a management idea and technical reference for the management of electric vehicle charging station.

相似文献/References:

[1]聂元丁.国家气象云资源池智能管理技术应用研究[J].计算机技术与发展,2022,32(04):129.[doi:10. 3969 / j. issn. 1673-629X. 2022. 04. 022]
　NIE Yuan-ding.Research on Intelligent Management Technology of National Meteorological Resource Pool[J].,2022,32(06):129.[doi:10. 3969 / j. issn. 1673-629X. 2022. 04. 022]

更新日期/Last Update: 2019-06-10