9791221502893_03.pdf

In the Architecture, Engineering and Construction (AEC) sector, data extracted from building information modelling (BIM) can be used to create a digital twin (DT). The algorithms of a BIM-based DT can facilitate the retrieval of information, which can then be used to improve building operation and m...

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Γλώσσα:English
Έκδοση: Firenze University Press 2024
Διαθέσιμο Online:https://books.fupress.com/doi/capitoli/979-12-215-0289-3_3
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spelling oapen-20.500.12657-891532024-04-03T02:24:14Z Chapter The Value of Extended Reality Techniques to Improve Remote Collaborative Maintenance Operations: A User Study Richard, Paul Coupry, Corentin Bigaud, David Noblecourt, Sylvain Baudry, David Virtual Reality Mixed Reality Operation & Maintenance Collaboration Digital Twin thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization In the Architecture, Engineering and Construction (AEC) sector, data extracted from building information modelling (BIM) can be used to create a digital twin (DT). The algorithms of a BIM-based DT can facilitate the retrieval of information, which can then be used to improve building operation and maintenance procedures. However, with the increased complexity and automation of the building, maintenance operations are likely to become more complex and may require expert intervention. Collaboration and interaction between the operator and the expert may be limited as the latter may not be on site or within the company. Recently, extended reality (XR) technologies have proven to be effective in improving collaboration during maintenance operations, through data display and shared interactions. This paper presents a new collaborative solution using these technologies to enhance collaboration during remote maintenance operations. The proposed approach consists of a mixed reality (MR) set-up for the operator, a virtual reality (VR) set-up for the remote expert and a shared Digital Model of a heat exchanger. The MR set-up is used for tracking and displaying specific information, provided by the VR module. A user study was carried out to compare the efficiency of our solution with a standard audio-video collaboration. Our approach demonstrated substantial enhancements in collaborative inspection, resulting in a significative reduction in both the overall completion time of the inspection and the frequency of errors committed by the operators 2024-04-02T15:48:07Z 2024-04-02T15:48:07Z 2023 chapter ONIX_20240402_9791221502893_122 2704-5846 9791221502893 https://library.oapen.org/handle/20.500.12657/89153 eng Proceedings e report application/pdf n/a 9791221502893_03.pdf https://books.fupress.com/doi/capitoli/979-12-215-0289-3_3 Firenze University Press 10.36253/979-12-215-0289-3.03 10.36253/979-12-215-0289-3.03 bf65d21a-78e5-4ba2-983a-dbfa90962870 9791221502893 137 11 Florence open access
institution OAPEN
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language English
description In the Architecture, Engineering and Construction (AEC) sector, data extracted from building information modelling (BIM) can be used to create a digital twin (DT). The algorithms of a BIM-based DT can facilitate the retrieval of information, which can then be used to improve building operation and maintenance procedures. However, with the increased complexity and automation of the building, maintenance operations are likely to become more complex and may require expert intervention. Collaboration and interaction between the operator and the expert may be limited as the latter may not be on site or within the company. Recently, extended reality (XR) technologies have proven to be effective in improving collaboration during maintenance operations, through data display and shared interactions. This paper presents a new collaborative solution using these technologies to enhance collaboration during remote maintenance operations. The proposed approach consists of a mixed reality (MR) set-up for the operator, a virtual reality (VR) set-up for the remote expert and a shared Digital Model of a heat exchanger. The MR set-up is used for tracking and displaying specific information, provided by the VR module. A user study was carried out to compare the efficiency of our solution with a standard audio-video collaboration. Our approach demonstrated substantial enhancements in collaborative inspection, resulting in a significative reduction in both the overall completion time of the inspection and the frequency of errors committed by the operators
title 9791221502893_03.pdf
spellingShingle 9791221502893_03.pdf
title_short 9791221502893_03.pdf
title_full 9791221502893_03.pdf
title_fullStr 9791221502893_03.pdf
title_full_unstemmed 9791221502893_03.pdf
title_sort 9791221502893_03.pdf
publisher Firenze University Press
publishDate 2024
url https://books.fupress.com/doi/capitoli/979-12-215-0289-3_3
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