Manual handling or traditional AGVs have blind spots for network coverage and high switching delays (100ms), resulting in AGVs congestion and frequent downtime. Under the multi-variety and small-batch production mode, fixed-path AGVs cannot quickly adjust the transportation route, which affects the production line. Operation and maintenance costs are high, equipment failures rely on manual inspections, and downtime losses are as high as tens of thousands of yuan per hour. Policies and technology-driven "14th Five-Year Plan for Intelligent Manufacturing Development" clearly requires promoting the integrated application of 5G+ industrial Internet. The 5G URLLC (Ultra-Reliable Low Latency Communication) standard has been implemented, and edge computing (MEC) and AI algorithms have accelerated the intelligentization of AGVs.

Requirement

5G+AGV robot solutions

The 5G industrial intelligent gateway and the AGV handling robot are connected through Ethernet to provide a network for the AGV handling robot control unit, achieving comprehensive coverage of the factory through the ultra-low latency of the 5G network; at the same time, the AGV handling robot realizes real-time communication of the AGV dispatch control system through the 5G network. Combined with AI autonomous driving technology, it can flexibly realize real-time changes in transportation speeds and on-demand adjustments of transportation routes. Through the docking of the AGV scheduling system and the factory production management system, when there are orders in the production management system, the AGV scheduling system uniformly schedules the intelligent operation of the AGV handling robots in the factory, and then uses laser navigation to carry out intelligent material transfer according to the instructions assigned by the system, thereby achieving the system. Intelligent production goals of fully automatic ordering and intelligent factory scheduling.

program introduction

application scenarios