Review of digital twin about concepts, technologies, and industrial applications
By Mengnan Liu, Shuiliang Fang, HuiYue Dong, Cunzhi Xu. 2020
1,524 citations recorded by the source corpus.
Abstract Various kinds of engineering software and digitalized equipment are widely applied through the lifecycle of industrial products. As a result, massive data of different types are being produced. However, these data are hysteretic and isolated from each other, leading to low efficiency and low utilization of these valuable data. Simulation based on theoretical and static model has been a conventional and powerful tool for the verification, validation, and optimization of a system in its early planning stage, but no attention is paid to the simulation application during system run-time. With the development of new-generation information and digitalization technologies, more data can be collected, and it is time to find a way for the deep application of all these data. As a result, the concept of digital twin has aroused much concern and is developing rapidly. Dispute and discussions around concepts, paradigms, frameworks, applications, and technologies of digital twin are on the rise both in academic and industrial communities. After a complete search of several databases and careful selection according to the proposed criteria, 240 academic publications about digital twin are identified and classified. This paper conducts a comprehensive and in-depth review of these literatures to analyze digital twin from the perspective of concepts, technologies, and industrial applications. Research status, evolution of the concept, key enabling technologies of three aspects, and fifteen kinds of industrial applications in respective lifecycle phase are demonstrated in detail. Based on this, observations and future work recommendations for digital twin research are presented in the form of different lifecycle phases.
Subfields: Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/3fe4ad2aa99618120fd6af25421671bb00780efc
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In Industrial and Manufacturing Engineering
Citations in the corpus
- A Survey on the Metaverse: The State-of-the-Art, Technologies, Applications, and Challenges (2023, background): “The Internet of Things (IoT), digital twins, and other technologies promote the integration of the real world and the virtual world [4], which is the basis for building the Metaverse.”
- Digital Twin: Origin to Future (2021, background): “Liu et al. [11] reported that more than half of the papers they reviewed were describing and/or studying ‘Digital Model’ or ‘Digital Shadow’ despite authors claiming it to be Digital Twin.”
- Is Metaverse in education a blessing or a curse: a combined content and bibliometric analysis (2022, background): “…and visualization studies related to Metaverse (Zhao et al., 2022); virtual commerce from both application design and consumer behaviour in Metaverse (Shen et al., 2021), digital twin (Cimino et al., 2019; Jones et al., 2020; Liu et al., 2021), 3D virtual worlds (Dionisio et al., 2013).”
- Differentiating Digital Twin from Digital Shadow: Elucidating a Paradigm Shift to Expedite a Smart, Sustainable Built Environment (2021, background): “In order to provide greater insight into the definition of DT, a set of 21 definitions published in the literature from 2012 [68] to 2019 [35,38] was analysed.”