Title: Manufacturing service network characteristics analysis of digital twin system under edge computing and cloud edge collaborative computing environment
Authors: Feng Xiang; Ping Zhou
Addresses: Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, School of Mechanical Automation, Wuhan University of Science and Technology, Wuhan, Hubei 430081, China ' Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, School of Mechanical Automation, Wuhan University of Science and Technology, Wuhan, Hubei 430081, China
Abstract: In order to optimise the configuration of manufacturing services in the virtual and real space and improve the efficiency of the collaboration of manufacturing service resources, we investigate the digital twin systems that provide various services under different service computing modes, analyse their basic network structure from the perspective of complex networks, and reveal internal interaction methods and feedback control process to optimise virtual and real resource allocation and improve physical system stability. On this basis, the characteristics of the manufacturing service network in the digital twin system are further analysed and explained, and the mechanism of manufacturing service collaboration in the virtual-real interaction fusion mode is described.
Keywords: digital twin system; service network; feedback control; characteristic analysis.
International Journal of Service and Computing Oriented Manufacturing, 2023 Vol.4 No.2, pp.134 - 143
Received: 29 Jan 2022
Accepted: 01 Mar 2022
Published online: 19 Jun 2023 *