关键词: 自动导引车, 边缘计算, 物流系统, 物联网

Abstract: Nowadays,most of Automated Guided Vehicle (AGV) systems adopt cloud computing-based network framework,which has a poor performance in real time.The tasks requiring high real-time such as obstacle avoidance,path planning and obstacle identification cannot response timely cause of the large time delay.For this reason,a multi-AGV control system including cloud,edge,and device three layers was developed based on edge computing.To reduce the latency of task process and improve real-time performance,the real time tasks were deployed in edge nodes that near the AGVs.Experiments showed that the system based on edge computing reduced the latency by 46.4%~58.8% compared with that based on cloud computing framework when performing the same tasks.

Key words: automated guided vehicle, edge computing, logistics system, Internet of things