2021 · 27 citations · 30 references
ComputingCloud ComputingManufacturing EngineeringAdditive ManufacturingCloud ArchitectureEdge Computing3D PrintingEdge Computing InfrastructureEdge InfrastructureEdge-cloud ArchitectureEdge-cloud IntegrationMulti-access Edge ComputingCloud-edge CollaborationDigital Twin ArchitectureDigital Twin DevelopmentDigital Twin ModelingDigital TwinsEdge-cloud CollaborationReal-time Digital TwinReal-time Processing
The physical and virtual access of manufacturing equipment to the cloud platform is an important direction of cloud manufacturing research, but the current research results in this direction are not enough to support the "landing" and wide application of cloud manufacturing model. In the traditional cloud manufacturing model, the direct access of manufacturing equipment to the cloud brings huge network pressure and unbearable latency, and also poses a privacy and security risk. Aiming at the cloudification of manufacturing equipment in the cloud manufacturing environment, the 3D printer is selected as the research object, and a cloud-edge collaboration architecture for 3D printers based on digital twin is proposed. To solve the lack of network reliability brought about by traditional cloudification, time-sensitive services are deployed at the edge, realizing the local extension of cloud services. The digital twin information model of FDM additive manufacturing is defined. Real time controlling and monitoring based on digital twin is realized. By cloud-edge collaboration, an application case is implemented, which verifies the effectiveness of the system and provides a reference solution for the cloudification of other manufacturing equipment in the environment of cloud manufacturing.
30
Digital Twin in Industry: State-of-the-Art
Fei Tao, He Zhang, Ang Liu et al. · IEEE Transactions on Industrial Informatics · 2019 · 3.8K citations
Engineering, Industrial Engineering, Manufacturing Engineering +17
A Survey on the Edge Computing for the Internet of Things
Wei Yu, Fan Liang, Xiaofei He et al. · IEEE Access · 2017 · 1.5K citations · Full text
Kendrik Yan Hong Lim, Pai Zheng, Chun‐Hsien Chen · Journal of Intelligent Manufacturing · 2019 · 669 citations
Management, Innovation Management, Manufacturing Engineering +17