基于边缘计算的工业应用: 自动导引小车控制系统

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.