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您的检索式：作者名="Fabio POIESI"
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| 1 | Virtual-reality and intelligent hardware in Digital Twins显示文摘Several new models and formats for the digital transformation of the manufacturing industry appear because of the rapid integration of information technology and the real economy,as well as the increasingly obvious evolution trend of industrial digitalization,networking,and intelligence.Among them,digital twins have increasingly become a research hotspot in all sectors of the industry and have broad prospects.It maps physical objects in virtual space in a digital way and simulates their behavioral characteristics in real environments.It makes the gap between virtuality and reality disappear based on their closed-loop interaction.Digital twins are undoubtedly an important and strategic technology in response to familiar products,production,and services.It can also speculate some indicators that cannot be directly measured by machine learning through collecting the direct data of limited physical sensor indicators.This can realize an assessment of the current state,a diagnosis of past problems,and a prediction of future trends,and simulate possibilities to provide more comprehensive decision support. | Zhihan LV Gustavo MARFIA Fabio POIESI Neil VAUGHAN Jun SHEN | 2022 | Virtual Reality & Intelligent Hardware2022，4，6： | 0 |
| 2 | Virtual-reality and intelligent hardware in digital twins显示文摘Several new models and formats for the digital transformation of the manufacturing industry appear because of the rapid integration of information technology and the real economy,as well as the increasingly obvious evolution trend of industrial digitalization,networking,and intelligence.Among them,digital twins have increasingly become a research hotspot in all sectors of the industry and have broad prospects.It maps physical objects in virtual space in a digital way and simulates their behavioral characteristics in real environments.It makes the gap between virtuality and reality disappear based on their closed-loop interaction.Digital twins are undoubtedly an important and strategic technology in response to familiar products,production,and services.It can also speculate some indicators that cannot be directly measured by machine learning through collecting the direct data of limited physical sensor indicators.This can realize an assessment of the current state,a diagnosis of past problems,and a prediction of future trends,and simulate possibilities to provide more comprehensive decision support. | Zhihan LV Gustavo MARFIA Fabio POIESI Neil VAUGHAN Jun SHEN | 2022 | Virtual Reality & Intelligent Hardware2022，4，4： | 0 |
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