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Design and Implementation of a Mixed Reality Night Hoisting Assistance System Driven by Digital Twins

Journal of physics. Conference series, 2022-04, Vol.2224 (1), p.12056 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2224/1/012056

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  • Title:
    Design and Implementation of a Mixed Reality Night Hoisting Assistance System Driven by Digital Twins
  • Author: Li, Hengwei ; Wang, Wei ; Qu, Jue ; Qiu, Ang ; Niu, Chenghong ; Li, Chengyu
  • Subjects: Digital twins ; Gesture recognition ; Hoisting ; Low visibility ; Mixed reality ; Night ; Synchronism ; Voice communication ; Voice recognition
  • Is Part Of: Journal of physics. Conference series, 2022-04, Vol.2224 (1), p.12056
  • Description: Abstract Hoisting at night has low visibility and high operational complexity, which has the problems of large cognitive load and high risk. With the help of digital twin (DT) and mixed reality (MR), the article designs and implements a MR night hoisting assistance system driven by DT. The system is developed on the Unity3D platform and based on the UNet networking communication mechanism. It realizes the functions of fusion highlighting, motion synchronization, multi-terminal collaboration and error display. It also has multiple interaction methods such as voice interaction, gesture recognition, and sight tracking. The research results have positive significance for improving the effect of night hoisting.
  • Publisher: Bristol: IOP Publishing
  • Language: English
  • Identifier: ISSN: 1742-6588
    EISSN: 1742-6596
    DOI: 10.1088/1742-6596/2224/1/012056
  • Source: Geneva Foundation Free Medical Journals at publisher websites
    IOPscience (Open Access)
    IOP 英国物理学会OA刊
    ProQuest Central
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