摘要
针对疫情期间外卖配送可能导致接触感染,设计了一种小型无人送餐车的控制系统,通过STM32微控制处理器实现全自动无人配送目标。该系统不仅可以实时监测餐饮温湿度并上传到上位机,还能通过安装在小车头部的红外循迹模块和北斗定位模块引导其按指定路径行驶。利用超声波传感器监测与障碍物距离,进而调整车速和方向及时应对路况变化。在实验车上取得了较好的应用效果,实现一定范围内外卖配送自动化。
In view of the possibility of contact infection caused by takeout during the epidemic,a control system of small unmanned food delivery truck was designed to achieve the full automatic unmanned delivery by STM32 microprocessor.The system can not only monitors the food and beverage temperature and humidity in real time and uploads it to the host computer,but also guides the cart along a specified path by means of an infrared tracking module and a BeiDou positioning module mounted on the cart's head.Ultrasonic sensors are used to monitor the distance to obstacles to adjust the speed and direction of the cart,so that it can respond to changes in road conditions in time.A good application effect is achieved on test cart.A certain range of delivery automation is achieved.
作者
王英立
尚鹏成
李勋航
高海斌
WANG Yingli;SHANG Pengcheng;LI Xunhang;GAO Haibing(Student Innovation Laboratory,Harbin University of Science and Technology,Harbin 150000,China;Department of Communications Engineering,College of Measurement and Control Technology and Communication Engineering,Harbin University of Science and Technology,Harbin 150000,China)
出处
《传感器世界》
2022年第5期24-28,共5页
Sensor World
关键词
无人送餐
无线通信
红外循迹
超声波避障
unmanned food delivery
wireless communication
infrared tracking
ultrasonic obstacle avoidance
作者简介
王英立:哈尔滨理工大学测通学院,副教授,研究方向为光电测试技术与仪器、信号检测及信息处理技术、图像处理技术;尚鹏成:哈尔滨理工大学学生创新实验室,本科生,研究方向为通信工程;通信作者:李勋航:哈尔滨理工大学学生创新实验室,本科生,研究方向为电气工程。通信地址:黑龙江省哈尔滨市学府路52号哈尔滨理工大学邮编:150000邮箱:2925742228@qq.com;高海斌:哈尔滨理工大学学生创新实验室,本科生,研究方向为通信工程。
