As-built BIM reconstruction of piping systems using smartphone videogrammetry and terrestrial laser scanning
The increasing adoption of Building Information Modeling (BIM) in the construction industry has created a demand for methods to update existing facilities with accurate as-built BIM models. While terrestrial laser scanners (TLS) are commonly used for indoor surveys due to their speed and precision,...
Saved in:
Main Authors: | , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/173344 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-173344 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1733442024-01-29T02:35:19Z As-built BIM reconstruction of piping systems using smartphone videogrammetry and terrestrial laser scanning Xie, Yuan Teo, Mou Xuan Li, Siyi Huang, Lihui Liang, Nanying Cai, Yiyu School of Mechanical and Aerospace Engineering Surbana Jurong-NTU Corporate Lab Engineering::Mechanical engineering Videogrammetry Photogrammetry The increasing adoption of Building Information Modeling (BIM) in the construction industry has created a demand for methods to update existing facilities with accurate as-built BIM models. While terrestrial laser scanners (TLS) are commonly used for indoor surveys due to their speed and precision, they face limitations in areas with physical constraints like confined spaces and occlusions, with pipes being particularly affected. This paper presents a smartphone videogrammetry approach designed to enhance the accuracy and completeness of terrestrial laser scanner (TLS) point clouds for as-built BIM reconstruction. The method involves capturing missing areas within the TLS point cloud with smartphones and then seamlessly integrating these data into a more comprehensive multi-modal point cloud. This approach is validated using real scan data and offers convenience through the use of readily available and cost-effective smartphones, while its iterative nature facilitates progressive BIM reconstruction of pipe structures. Additionally, a compatible progressive BIM reconstruction framework is outlined, aiming to modernize scan-to-BIM practices in the construction industry, with a case study demonstrating its feasibility. Agency for Science, Technology and Research (A*STAR) This study is supported under the RIE2020 Industry Alignment Fund – Industry Collaboration Projects (IAF-ICP) Funding Initiative, as well as cash and in-kind contribution from Surbana Jurong Pte Ltd. 2024-01-29T02:35:19Z 2024-01-29T02:35:19Z 2023 Journal Article Xie, Y., Teo, M. X., Li, S., Huang, L., Liang, N. & Cai, Y. (2023). As-built BIM reconstruction of piping systems using smartphone videogrammetry and terrestrial laser scanning. Automation in Construction, 156, 105120-. https://dx.doi.org/10.1016/j.autcon.2023.105120 0926-5805 https://hdl.handle.net/10356/173344 10.1016/j.autcon.2023.105120 2-s2.0-85174448549 156 105120 en Automation in Construction © 2023 Elsevier B.V. All rights reserved. |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Engineering::Mechanical engineering Videogrammetry Photogrammetry |
spellingShingle |
Engineering::Mechanical engineering Videogrammetry Photogrammetry Xie, Yuan Teo, Mou Xuan Li, Siyi Huang, Lihui Liang, Nanying Cai, Yiyu As-built BIM reconstruction of piping systems using smartphone videogrammetry and terrestrial laser scanning |
description |
The increasing adoption of Building Information Modeling (BIM) in the construction industry has created a demand for methods to update existing facilities with accurate as-built BIM models. While terrestrial laser scanners (TLS) are commonly used for indoor surveys due to their speed and precision, they face limitations in areas with physical constraints like confined spaces and occlusions, with pipes being particularly affected. This paper presents a smartphone videogrammetry approach designed to enhance the accuracy and completeness of terrestrial laser scanner (TLS) point clouds for as-built BIM reconstruction. The method involves capturing missing areas within the TLS point cloud with smartphones and then seamlessly integrating these data into a more comprehensive multi-modal point cloud. This approach is validated using real scan data and offers convenience through the use of readily available and cost-effective smartphones, while its iterative nature facilitates progressive BIM reconstruction of pipe structures. Additionally, a compatible progressive BIM reconstruction framework is outlined, aiming to modernize scan-to-BIM practices in the construction industry, with a case study demonstrating its feasibility. |
author2 |
School of Mechanical and Aerospace Engineering |
author_facet |
School of Mechanical and Aerospace Engineering Xie, Yuan Teo, Mou Xuan Li, Siyi Huang, Lihui Liang, Nanying Cai, Yiyu |
format |
Article |
author |
Xie, Yuan Teo, Mou Xuan Li, Siyi Huang, Lihui Liang, Nanying Cai, Yiyu |
author_sort |
Xie, Yuan |
title |
As-built BIM reconstruction of piping systems using smartphone videogrammetry and terrestrial laser scanning |
title_short |
As-built BIM reconstruction of piping systems using smartphone videogrammetry and terrestrial laser scanning |
title_full |
As-built BIM reconstruction of piping systems using smartphone videogrammetry and terrestrial laser scanning |
title_fullStr |
As-built BIM reconstruction of piping systems using smartphone videogrammetry and terrestrial laser scanning |
title_full_unstemmed |
As-built BIM reconstruction of piping systems using smartphone videogrammetry and terrestrial laser scanning |
title_sort |
as-built bim reconstruction of piping systems using smartphone videogrammetry and terrestrial laser scanning |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/173344 |
_version_ |
1789483090411782144 |