基于二维码的停车场反向寻车系统设计

Design of Reverse Vehicle Tracking System in Parking Lots Based on QR Code

由于不熟悉场所环境,大型停车场内寻找停放车辆(以下简称“反向寻车”)难度大是车主常遇到的难题之一,尤其是在大型地下停车场停车,极易发生方向感迷失问题,寻车难度进一步加大。室内导航、视频探测等技术为反向寻车提供了技术解决方案,但由于成本较高,并没有得到普及应用。基于二维码信息匹配技术,提出了低成本、轻量化的反向寻车解决方案,即应用已普及的二维码作为媒介,记录车辆停放位置和用户所在位置,结合计算最短路径理论A*算法,生成静态寻车路径信息,并发送给用户,实现了停车场车辆寻找功能。应用微信小程序开发的反向寻车系统,证实了该技术路线的可行性。该系统通过部署微信小程序云函数,记录用户唯一识别码、车辆停放车位编号、用户所在位置编号,并与C++后台程序进行对接,实现了停车场信息的电子化和静态路径信息的产生与返还,有效地解决了大型地下停车场反向寻车难的问题,且应用成本较低。

“Reverse vehicle traccking”is a common problem for drivers due to the difficulty in finding parking vehicles in large parking lots,especially in large underground parking lots where drivers easily lose their sense of direction.Although indoor navigation and video detection technologies provide technical solutions for reverse vehical tracking,the high costs prevent widespread use.In this study,a low-cost and lightweight reverse vehicle tracking solution is proposed based on quick response(QR)code information matching technology.QR codes,which are widely used,are used as a medium to record the parking location of the vehicle and the location of the driver.The shortest path theory and A*algorithm are used to generate static parking paths,which are then sent to the driver to assist in finding the vehicle.Additionally,a WeChat miniprogram is developed to verify the feasibility of the technical route.By deploying WeChat cloud functions to record the driver's unique identification code,the parking space number where the vehicle is parked,and the location number of the driver,and docking with the C++backend program,the electronification of parking lot information and the generation and return of static path information are effectively achieved,which effectively solve the difficulty of reverse vehicle tracking in large underground parking lots at a low cost.