Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop

By Jiewu Leng, Hao Zhang, Douxi Yan, Qiang Liu, Xin Chen, Ding Zhang. Journal of Ambient Intelligence and Humanized Computing, 2018

412 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/66545cfd0f14016473fa77b5209a7b63bbe8f15c

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In Industrial and Manufacturing Engineering

Citations in the corpus

Differentiating Digital Twin from Digital Shadow: Elucidating a Paradigm Shift to Expedite a Smart, Sustainable Built Environment (2021, background): “…and connect to BIM [44,48]; collect multi-modal (e.g., radar, laser, or lidar), multi-source and homogeneous data, apply multi-actor game-theory decision algorithms considering dynamic factors [93]; connecting energy networks; decentralised digital twin models [94] and integration with blockchain.”
Knowledge-driven digital twin manufacturing cell towards intelligent manufacturing (2019, background): “The above approaches contribute to the convergence of physical systems and cyber systems by establishing a general framework of or developing modelling technologies for digital twin in smart manufacturing paradigm (Leng et al. 2018).”
Digital twin paradigm: A systematic literature review (2021, background): “C4 30 (Leng et al., 2019) “each physical device will have its cyber part as a digital representation of the real device, culminating in the digital twin models.”
Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects (2022, background): “…DT implementation attempts so far seem to have been accomplished with the support of a number of common enabling technologies, such as: ML [17], TL [18], distributed computing (i.e., cloud, fog, and edge computing) [19], the (Industrial) Internet of Things (I/IoT) [20], CPS [21], and VR/AR [22].”
Characterising the Digital Twin: A systematic literature review (2020, neutral): “9 Virtual-toPhysical Connection [33] [80] [15] [64] [75] [68] [112] [104] [99] [105] [111] [46] [36] [52] [7] [71] [2] [67] [27] [22] [6] [48] [55] [49] [95] [16] [92] [87] [107] [9] [66] [110] [5] [12] [57]”
Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison (2019, background): “Integrating cloud technologies in DTs holds promise for ensuring the scalability of storage, computation, and communication [61].”
Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020, neutral): “[262] J.”