基于ZigBee的智能停车系统研究与实现

发布时间：2018-03-10 16:47

本文选题：智能停车　切入点：O2O　出处：《西安工业大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着国民经济不断发展,人民生活品质日益提高,城市汽车保有量大幅增加,停车难成为人们工作生活中的一大难题,由此造成了交通堵塞、环境污染、资源浪费等问题。本文根据当前停车系统现状,设计了一种基于ZigBee无线传感网络的智能停车系统,通过线上线下互动管理停车位,提高了车位的利用率,有效缓解了城市停车混乱的问题。本文首先对国内外停车现状进行研究,分析了用户停车需求,结合物联网技术,设计了系统总体架构,对系统各个子模块进行设计实现。本系统包括四大子模块,分别是:车位检测与控制模块、上位机数据处理模块、云端服务器模块和用户客户端模块。车位检测与控制模块利用超声波传感器、Arduino控制器和ZigBee组建无线传感网络,实现车位状态信息的采集和传输;上位机处理模块使用C#对串口进行编程,处理下位机传感器数据,并桥接传感网络与互联网;云端服务器基于Node.js平台构建,使用MongoDB作为数据库,通过服务器向各终端分发消息,同时服务器端挂载MQTT代理服务,实现消息从服务器到上位机和客户端的推送,满足系统的反向控制需求;用户客户端模块中使用React.js构建界面,提供良好的用户体验。另外,本文对停车系统智能化方案进行了研究探讨,包括停车引导技术和车位智能推荐技术,前者基于A*寻路算法搜索最短路径,并使用Unity进行路径规划模拟,后者基于协作过滤算法,对相似车位推荐方法进行了探讨。本文最终实现了一种基于ZigBee的智能停车系统的原型,实现了车位使用情况在线查看、在线车位预定、在线路径规划和停车引导等功能,达到了通过线上管理线下车位的目的,提高了现有停车场的资源利用率,具有一定的应用价值。
[Abstract]:With the continuous development of the national economy, the quality of life of the people is improving day by day, the number of cars in the city has increased substantially, the difficulty of parking has become a big problem in people's working life, which has caused traffic jam and environmental pollution. According to the current situation of parking system, this paper designs an intelligent parking system based on ZigBee wireless sensor network. This paper studies the parking situation at home and abroad, analyzes the parking needs of users, and designs the overall architecture of the system combined with the Internet of things technology. The system consists of four sub-modules, namely: parking space detection and control module, upper computer data processing module, Cloud server module and user client module. Parking space detection and control module uses ultrasonic sensor Arduino controller and ZigBee to set up wireless sensor network to realize the collection and transmission of parking space status information. The upper computer processing module uses C # to program the serial port, processes the sensor data of the lower computer, and bridges the sensor network with the Internet. The cloud server is constructed based on the Node.js platform, using MongoDB as the database, and distributing messages to the terminals through the server. At the same time, MQTT proxy service is mounted on the server side to push messages from the server to the host computer and the client to meet the reverse control requirements of the system. The user client module uses React.js to build the interface to provide a good user experience. In this paper, the intelligent scheme of parking system is studied, including parking guidance technology and parking space intelligent recommendation technology. The former searches the shortest path based on the A * algorithm, and uses Unity to simulate the path planning. The latter is based on collaborative filtering algorithm, and discusses the recommendation method of similar parking spaces. Finally, this paper implements a prototype of intelligent parking system based on ZigBee, and realizes the online view of parking space usage and the booking of parking spaces online. The functions of online route planning and parking guidance have achieved the purpose of managing the parking spaces online and offline, and have improved the utilization ratio of the existing parking lot resources, and have certain application value.
【学位授予单位】：西安工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.52;TN92

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