Ericsson and China Mobile launch smart manufacturing AGV

07/19/201917:04:53 Comments 763

Lead: Tongxinzhi network media promotion--Ericsson recently, Ericsson and China Mobile use 5G network to enhance the vertical industry technology, demonstrating the prototype of intelligent manufacturing AGV (automatic guided transport vehicle) based on 5G end-to-end independent networking .

Ericsson and China Mobile launch smart manufacturing AGV

Ericsson was founded in 1876 in Stockholm, Sweden. From the early production of telephones and program-controlled switches to today's world's largest mobile communications equipment provider, Ericsson's business spans more than 180 countries and regions, and is the world's leading provider of end-to-end comprehensive communications solutions and professional services.

 

AGV is widely used in manufacturing processes. Whether it is traction AGV, pallet AGV, or forklift AGV, the requirements for mobile network continuity are relatively high. While 5G utilizes licensed spectrum for communication, its powerful mobility management, seamless coverage and quality of service guarantees provide a reliable means of communication for a variety of AGV applications.

 

This Ericsson Smart Manufacturing AGV prototype demonstrates how AGV can automate product testing with 5G network support:

 

Edge computing, deploying the AGV application system in the edge cloud, and forwarding the traffic to the local traffic through edge computing, which not only meets the requirements of low latency, but also ensures efficient management of industrial applications by the factory; and reduces the complexity of the AGV device. Improve the operational stability of the entire system. Moreover, using the powerful computing power on the edge cloud, the test data is deeply analyzed, and the test is improved according to the analysis result to improve the efficiency and integrate with the data of other manufacturing systems to realize the closed loop from product production to product testing. Management to improve the intelligent manufacturing level of the factory.

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