当前位置>主页 > 期刊在线 > 物联网 >

物联网2018年4期

基于物联网技术的云智能停车系统
黄桂钦
(惠州市技师学院,广东 惠州 516003)

摘  要:随着家庭用车的不断增加,公共区域及小区内车位矛盾、停车难的问题越来越日常化。在人们的生活中,“车位” 成了最热的话题。本文介绍了一种基于物联网技术和云智能的停车系统的新算法,该算法具有提高效率的优点,并分析了一种基 于物联网技术的网络架构。本文提到了一种基于新的性能指标来帮助用户自动找到一个免费停车位的系统,通过考虑每个停车场 的距离和总数量来计算用户的停车费。这个费用将作为提供解决方案的标准,在用户的请求下找到一个可用的停车位,并提出建议。如果当前的停车场已经满了,建议一个新的停车场。仿真结果表明,该算法能有效地提高停车的成功率,减少用户的等待时间。在现实世界中,我们也成功地实现了该系统。


关键词:智能停车;互联网;云;云服务器



中图分类号:TP391.44         文献标识码:A         文章编号:2096-4706(2018)04-0188-03


Cloud Intelligent Parking System Based on the Technology of Internet of Things
HUANG Guiqin
(Huizhou Technician Institute,Huizhou 516003,China)

Abstract:With the increasing use of family cars,the contradiction between parking spaces and parking in public areas and communities is becoming more and more routine. In people’s lives,“parking space”has become the hottest topic. This paper introduces a new algorithm of parking system based on internet of things and cloud intelligence. This algorithm has the advantage of improving efficiency,and analyzes a network architecture based on the technology of Internet of things. This article refers to a system based on new performance indicators to help users automatically find a free parking space by considering the distance and total number of each parking lot to calculate the user's parking fee. This fee will be used as a standard for providing solutions,and a parking space can be found at the request of users,and suggestions are made. If the current parking lot is full,suggest a new parking lot. Simulation results show that the algorithm can effectively improve the success rate of parking and reduce the waiting time of users. In the real world,we have successfully implemented the system.

Keywords:intelligent parking;internet;cloud;cloud server


参考文献:

[1] 郭腾. 智能停车管理系统的研究与实现 [D]. 北京:北方工业大学,2015.

[2] 姚雄.“信息孤岛”问题及PLM 解决方案 [D]. 南京:南京航空航天大学,2005.

[3] 肖文汉,吴孝斌,等. 基于百度地图API 的停车场查寻系统的设计 [J]. 计算机技术与发展,2014,24(4):227-230.

[4] 任齐. 基于Android 的LBS 应用研究 [D]. 上海:华东师范大学,2012.

[5] 焦海波,等. 嵌入式网络系统设计——基于Atmel ARM7系列 [D]. 北京:北京航空航天大学出版社,2008.

[6] 谭民,刘禹,曾隽芳.RFID 技术系统工程及应用指南 [M].北京:机械工业出版社,2007.


作者简介:黄桂钦(1987-),男,汉族,广东博罗人,教师,计算机科学与技术讲师,学士,研究方向:智能停车系统。