9791221502893_116.pdf

The quality control (QC) of assembled modules is an essential process when constructing modular buildings such as hotels and hospitals. Defects that go undetected during module assembly may result in lost productivity in the form of unnecessary transportation, rework or project delays. QC has tradit...

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Γλώσσα:English
Έκδοση: Firenze University Press 2024
Διαθέσιμο Online:https://books.fupress.com/doi/capitoli/979-12-215-0289-3_116
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spelling oapen-20.500.12657-891282024-04-03T02:23:53Z Chapter Combining Large-Scale 3D Metrology and Mixed Reality for Assembly Quality Control in Modular Construction Bounaouara, Wafa Rivest, Louis Tahan, Antoine 3D Metrology Augmented Reality Mixed Reality Modular Construction Photogrammetry thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization The quality control (QC) of assembled modules is an essential process when constructing modular buildings such as hotels and hospitals. Defects that go undetected during module assembly may result in lost productivity in the form of unnecessary transportation, rework or project delays. QC has traditionally been performed using specialized tools and carried out a posteriori in an inspection station dedicated solely to this task. Nowadays, large-scale 3D metrology technology provides a more efficient alternative since it enables accurate measurements to be taken in situ. Additionally, mixed reality (MR) supports the immersive projection of information and guidance instructions. This paper introduces a proof of concept of a framework that combines industrial photogrammetry with the HoloLens 2 MR headset to assist with assembly and QC during the off-site construction phase of modular construction. Many tests were conducted in a laboratory and a factory setting to evaluate the system’s user-friendliness and possible challenges associated with its future implementation. The experiments conducted confirmed that combining 3D metrology with MR offers an interesting solution for integrating QC into the assembly process. However, further work is needed to enhance the measurement workflow and optimize the measurement system’s accuracy 2024-04-02T15:47:23Z 2024-04-02T15:47:23Z 2023 chapter ONIX_20240402_9791221502893_97 2704-5846 9791221502893 https://library.oapen.org/handle/20.500.12657/89128 eng Proceedings e report application/pdf n/a 9791221502893_116.pdf https://books.fupress.com/doi/capitoli/979-12-215-0289-3_116 Firenze University Press 10.36253/979-12-215-0289-3.116 10.36253/979-12-215-0289-3.116 bf65d21a-78e5-4ba2-983a-dbfa90962870 9791221502893 137 10 Florence open access
institution OAPEN
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language English
description The quality control (QC) of assembled modules is an essential process when constructing modular buildings such as hotels and hospitals. Defects that go undetected during module assembly may result in lost productivity in the form of unnecessary transportation, rework or project delays. QC has traditionally been performed using specialized tools and carried out a posteriori in an inspection station dedicated solely to this task. Nowadays, large-scale 3D metrology technology provides a more efficient alternative since it enables accurate measurements to be taken in situ. Additionally, mixed reality (MR) supports the immersive projection of information and guidance instructions. This paper introduces a proof of concept of a framework that combines industrial photogrammetry with the HoloLens 2 MR headset to assist with assembly and QC during the off-site construction phase of modular construction. Many tests were conducted in a laboratory and a factory setting to evaluate the system’s user-friendliness and possible challenges associated with its future implementation. The experiments conducted confirmed that combining 3D metrology with MR offers an interesting solution for integrating QC into the assembly process. However, further work is needed to enhance the measurement workflow and optimize the measurement system’s accuracy
title 9791221502893_116.pdf
spellingShingle 9791221502893_116.pdf
title_short 9791221502893_116.pdf
title_full 9791221502893_116.pdf
title_fullStr 9791221502893_116.pdf
title_full_unstemmed 9791221502893_116.pdf
title_sort 9791221502893_116.pdf
publisher Firenze University Press
publishDate 2024
url https://books.fupress.com/doi/capitoli/979-12-215-0289-3_116
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