基于物联网的智能停车导航管理系统的设计与实现

发布时间：2018-10-17 12:12

【摘要】：随着人民生活水平的提高,城市车辆保有量日益增加,停车场和停车位资源在城市当中变得日益重要,与此同时,停车场面积和规模日益扩大和停车位资源的日益紧张,使得停车和取车问题成为有车一族每天必须面对和头痛的问题,另一方面,对于停车场管理方而言,停车场规模和面积的不断扩大使得传统的停车场管理方式变得无力和低效,如何能够更加高效地管理停车场内部的停车位资源和提高停车场管理水平也成为一个具有实用经济价值的问题。近年来,随着移动互联网的不断发展和智能手机的快速普及,物联网技术也在凭借智能终端普及的这个机遇得到飞速发展,苹果提出的fiBeacon技术用于室内停车场定位,将物联网技术与智能终端技术相结合,运用于大型停车场管理当中变得日益可行。本课题研究以智能终端为载体,将视频车牌识别技术和iBeacon实时定位技术应用于大型停车场管理和服务当中,着重研究解决大型停车场找空位和反向人找车的难题,以更智能的技术手段大幅提升大型停车场管理服务水平。本文的工作成果如下:1)提出一种改进的RSSI定位算法,利用低功耗蓝牙节点的iBeacon进行定位,改变传统RSSI定位算法当中的弊端和不足,并且将该算法部署到实际停车场管理当中,验证了算法的可行性和可实践性。2)提出一种基于REST的智能停车场管理导航系统架构模型,设计了 REST接口,应用于实现的智能停车系统当中,利用REST的设计思想对本智能停车导航管理系统进行功能和架构划分。3)设计并实现了基于REST架构的停车场导航管理系统,开发完成了整个系统,包括后台管理系统、iBeacon定位系统、iOS App等,验证了系统的稳定性和可靠性。4)实地部署了基于物联网的智能停车导航管理系统,验证了系统运行的稳定性和可靠性,并探索其他物联网技术用于停车场管理当中的可行性。
[Abstract]:With the improvement of people's living standards and the increasing number of vehicles in cities, parking lots and parking space resources become increasingly important in the city. At the same time, the parking lot area and scale are increasing and the parking space resources are becoming increasingly tight. The problem of parking and picking up cars becomes a daily headache for car owners. On the other hand, for the parking lot management, the continuous expansion of parking lot size and area makes the traditional parking management way become weak and inefficient. How to more efficiently manage parking space resources and improve parking management level has become a practical and economic value problem. In recent years, with the continuous development of mobile Internet and the rapid popularity of smart phones, the Internet of things technology is also relying on the popularity of intelligent terminals this opportunity to get rapid development, Apple's proposed fiBeacon technology for indoor parking location, The combination of Internet of things technology and intelligent terminal technology has become increasingly feasible in large parking lot management. In this paper, the intelligent terminal is used as the carrier, video license plate recognition technology and iBeacon real-time location technology are applied to the management and service of large parking lot. With more intelligent technical means to greatly improve the large parking lot management service level. The results of this paper are as follows: 1) an improved RSSI localization algorithm is proposed, which uses the iBeacon of low-power Bluetooth node to locate, and changes the disadvantages and shortcomings of the traditional RSSI localization algorithm, and deploys the algorithm to the actual parking lot management. The feasibility and practicability of the algorithm are verified. 2) an architecture model of intelligent parking lot management and navigation system based on REST is proposed. The REST interface is designed and applied to the intelligent parking system. The function and architecture of the intelligent parking navigation management system are divided by using the design idea of REST. 3) the parking lot navigation management system based on REST architecture is designed and implemented, and the whole system is developed and completed. Including backstage management system, iBeacon positioning system, iOS App and so on, which verify the stability and reliability of the system. 4) the intelligent parking navigation management system based on the Internet of things is deployed in the field, and the stability and reliability of the system are verified. And explore the feasibility of other Internet of things technology used in the parking lot management.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP391.44;TN929.5;TP311.52

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