Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing
Fei Tao,Meng Zhang +1 more
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TLDR
A novel concept of digital twin shop-floor (DTS) based on digital twin is explored and its four key components are discussed, including physicalShop-floor, virtual shop- Floor, shop- floor service system, and shop-ground digital twin data.Abstract:
With the developments and applications of the new information technologies, such as cloud computing, Internet of Things, big data, and artificial intelligence, a smart manufacturing era is coming. At the same time, various national manufacturing development strategies have been put forward, such as Industry 4.0 , Industrial Internet , manufacturing based on Cyber-Physical System , and Made in China 2025 . However, one of specific challenges to achieve smart manufacturing with these strategies is how to converge the manufacturing physical world and the virtual world, so as to realize a series of smart operations in the manufacturing process, including smart interconnection, smart interaction, smart control and management, etc. In this context, as a basic unit of manufacturing, shop-floor is required to reach the interaction and convergence between physical and virtual spaces, which is not only the imperative demand of smart manufacturing, but also the evolving trend of itself. Accordingly, a novel concept of digital twin shop-floor (DTS) based on digital twin is explored and its four key components are discussed, including physical shop-floor, virtual shop-floor, shop-floor service system, and shop-floor digital twin data. What is more, the operation mechanisms and implementing methods for DTS are studied and key technologies as well as challenges ahead are investigated, respectively.read more
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Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing
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Intelligent Small Object Detection for Digital Twin in Smart Manufacturing With Industrial Cyber-Physical Systems
TL;DR: A hybrid deep neural network model based on the integration of MobileNet-v2, YOLOv4, and Openpose, is constructed to identify the real-time status from physical manufacturing environment to virtual space and can achieve a higher detection accuracy for digital twinning in smart manufacturing.
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Expected impact of industry 4.0 technologies on sustainable development: A study in the context of Brazil's plastic industry
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TL;DR: In this article, the impact of Industry 4.0 technologies on sustainability based on economic, environmental, and social aspects is investigated using the Triple Bottom Line perspective for sustainable development in the plastics industry.
References
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Book ChapterDOI
Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems
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