5G edge computing cloud-based unmanned vehicle architecture and control evaluation method thereof

Abstract

The invention belongs to the field of 5G mobile robots, and relates to a 5G edge computing cloud-based unmanned vehicle architecture and a control evaluation method thereof. The cloud-based unmanned vehicle architecture comprises an equipment layer, an edge computing layer and a cloud computing layer. The equipment layer comprises a cloud-based unmanned vehicle, a workshop, a roadside unit and a 5G base station. The edge computing layer comprises an edge computing server and a 5G core network additionally sent by the 5G base station. An edge computing server is arranged in each subarea, and the edge computing servers are connected with the device layer through a 5G core network. The cloud computing layer comprises a cloud server and a control center, and the control center is located in afactory. The cloud-based unmanned vehicle architecture is designed in combination with 5G communication and edge computing technologies, so that multiple cloud-based unmanned vehicles in a factory canrealize the functions of sensing the surrounding environment, distributing tasks, planning paths, avoiding collision and the like, and the goods distribution efficiency of the multiple cloud-based unmanned vehicles in the factory is improved.

Description

technical field [0001] The invention belongs to the field of 5G mobile robots, and relates to a cloud-based unmanned vehicle architecture of 5G edge computing and a control evaluation method thereof. Background technique [0002] With the development of computer technology, control theory, artificial intelligence and other technologies in the 21st century, multi-robot collaborative work will continue to be deeply applied to military and civilian fields. Such as joint reconnaissance, joint strikes, multi-machine communication relay, missile multi-warhead guidance, etc. in the military field; Industry 4.0 off-duty multi-robot intelligent collaboration, etc. At the same time, the problem of multi-vehicle path planning also emerges with the development of multi-robots. According to specific occasions, more complex functional applications of the upper layer can be studied, such as task and role assignment, cooperative search, formation control, etc. [0003] However, the colla...

AI Technical Summary

Problems solved by technology

However, this method of migrating computing tasks to the cloud not only brings a large amount of data transmission and increases the network load, but also introduces a large amount of data and causes transmission delay.

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