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Design of Intelligent Parking Management System Based on ARM and Wireless Sensor Network
Mobile Information Systems ( IF 1.863 ) Pub Date : 2022-9-27 , DOI: 10.1155/2022/2965638
Zhijun Xiang, Jianjun Pan

Motor vehicles are changing the way people live, but they are also putting a huge strain on urban traffic. In the majority of major cities, parking has become the number one problem for car owners to get around. The management efficiency of car parks directly affects the traffic of the whole city. In order to improve the management efficiency of the car park, this paper designs an intelligent parking management system based on ARM and ZigBee wireless sensor network. Firstly, according to the internal environment and economic cost of the car park, ultrasonic sensors are used to monitor whether the parking space is empty or not. The information collected by the ultrasonic sensors is transmitted to the ARM host controller through the ZigBee wireless sensor network, and the ARM host controller determines whether there are free parking spaces based on the collected information. Secondly, Faster R-CNN, a deep learning algorithm, is selected as the license plate recognition model, and the Faster R-CNNN is improved by the residual module. Finally, in order to extend the lifetime of the ZigBee wireless network, the ZigBee routing algorithm is investigated, and an improved routing algorithm based on energy averaging is proposed. The effectiveness of the improved routing algorithm is demonstrated by a simulation analysis through NS2. The test results show that the designed intelligent parking management system is able to complete the functions of parking space detection and license plate recognition normally, thus effectively improving the efficiency of the car park and providing great convenience to motorists.

中文翻译:

基于ARM和无线传感器网络的智能停车管理系统设计

机动车正在改变人们的生活方式,但它们也给城市交通带来了巨大压力。在大部分主要城市,停车已成为车主出行的头号问题。停车场的管理效率直接影响整个城市的交通。为了提高停车场的管理效率,本文设计了一种基于ARM和ZigBee无线传感器网络的智能停车场管理系统。首先,根据停车场的内部环境和经济成本,采用超声波传感器监测车位是否空置。超声波传感器采集的信息通过ZigBee无线传感器网络传输到ARM主机控制器,ARM主机控制器根据收集到的信息判断是否有空闲车位。其次,选择深度学习算法Faster R-CNN作为车牌识别模型,通过残差模块对Faster R-CNNN进行改进。最后,为了延长ZigBee无线网络的寿命,研究了ZigBee路由算法,提出了一种基于能量平均的改进路由算法。通过 NS2 的仿真分析证明了改进的路由算法的有效性。测试结果表明,所设计的智能停车管理系统能够正常完成车位检测、车牌识别等功能,有效提高了停车场的效率,为驾车者提供了极大的便利。
更新日期:2022-09-27
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