智能停车场反向寻车系统设计  

Research on Reverse Search System of Intelligent Parking Lot

作　　者：麻吉辉 王丽杰[1] 赵原真 孙建波 MA Jihui;WANG Lijie;ZHAO Yuanzhen;SUN Jianbo(School of Measurement Control Technology and Communication Engineering,Harbin University of Science and Technology,Harbin 150080,China)

机构地区：[1]哈尔滨理工大学测控技术与通信工程学院,哈尔滨150080

出　　处：《哈尔滨理工大学学报》2023年第4期23-32,共10页Journal of Harbin University of Science and Technology

基　　金：国家自然科学基金(61975047).

摘　　要：为了解决智能停车场的反向寻车问题,给出了基于PC客户端和移动客户端APP智能停车场或车库的反向寻车方法。采用超声探测手段进行车位车辆有无检测、设置监控设备与车位一对多方式完成车位图像采集,利用STM32单片机系统通过Zigbee无线通信组网方式将监测到的车牌号码及其车位编号等信息传输至服务器。利用ArcGIS进行场内地图的设计制作,通过文中提出的改进A*寻车路径规划算法实现搜素范围约束和冗余点的剔除,实现路径规划,完成寻车指引。对比不同环境下的路径优化仿真分析结果,改进的A*算法较广度优先算法减少了60%~80%的搜索节点数目。In order to solve the problem of reverse car search in intelligent parking lot,a reverse car search method based on PC client and mobile client application intelligent parking lot or garage is presented.The ultrasonic detection method is used to detect whether the parking space is available,and the monitoring equipment and parking space are set up to complete the parking space image acquisition in one-to-many way.The STM32 single chip microcomputer system is used to transmit the monitored license plate number and parking space number to the server through ZigBee wireless communication network.ArcGIS is used for the design and production of the site map,and the improved A*vehicle search path planning algorithm proposed in this paper is used to eliminate the constraints of the search element range and redundant points,realize the path planning,and complete the vehicle search guidance.Comparing the simulation results of path optimization in different environments,the improved A*algorithm reduces the number of search nodes by 60%~80%compared with the breadth first algorithm.

关 键 词：反向寻车 场内地图 路径规划 改进的A*算法 寻车客户端 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]