Abstract
The integration of digital technology within organizations into their products, services, production, corresponding to various domains, which was started in the context of the Industry 4.0 initiative, has imposed the appearance of new emergent concepts and technologies. One of these is Digital Twin, which represents a virtual model of a physical object, which dynamically pairs the physical entity with its digital replica. The virtual system is connected to the real world through data transmission channels to acquire, analyse, process and simulate data within a virtual model. Thus, a Digital Twin improves the performance of the real entity; such systems are increasingly used today in various fields of activity. The progress realized in computation and communication enables digital representations of physical systems. This work proposes a generic Digital Twin architecture, together with main design guidelines and integrated technologies such as IoT, intended to be used in Cyber-Physical Production Systems for experimental applications. The proposed Digital Twin architecture offers the possibility to be accessed by a remote connection or locally. Several Digital Twin types, layers and applications, in the Data-Driven Cyber-Physical Production Systems context, are presented in the paper.
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Iliuţă, M., Pop, E., Caramihai, S.I., Moisescu, M.A. (2023). A Digital Twin Generic Architecture for Data-Driven Cyber-Physical Production Systems. In: Borangiu, T., Trentesaux, D., Leitão, P. (eds) Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. SOHOMA 2022. Studies in Computational Intelligence, vol 1083. Springer, Cham. https://doi.org/10.1007/978-3-031-24291-5_6
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