Abstract
With the development of communications and big data, digital twin as a novel paradigm has been received insentive attentions. However, there are some huge challenges in designing digital twins due to the complexity of digital twin applications. Firstly, most existing approaches merely focus on customized development, they are not general enough to tailor multiple applicaiton domains. Secondly, it lacks down-to-earth methodology for leading the designing process. Thirdly, it is tricky for developers to develop high valuable applications in real scenarios. To conquer these challenges, in this paper, we propose an EIMDC model for designing digital twin applications. It is comprised of entity, infrastructure, model, data and context. The entity is used to depict the physical entities mentioned in applications. The infrastructure exhibits the supporting infrastructure for enabling the digitalization of the physical entities. The model specifies the behavior of digital twin including geometric physical modeling, data-driven model and mechanism model. The data illustrates the data in cyberspace sensing from physical entites. The context represents the application context for digital twins. Finally we use a SMT production line case to show the effectiveness of the proposed model.
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Wang, X., Hong, H., Zeng, J., Sun, Y., Liu, G. (2023). EIMDC: A New Model for Designing Digital Twin Applications. In: Tekinerdogan, B., Wang, Y., Zhang, LJ. (eds) Internet of Things – ICIOT 2022. ICIOT 2022. Lecture Notes in Computer Science, vol 13735. Springer, Cham. https://doi.org/10.1007/978-3-031-23582-5_2
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