Automatic reconstruction of as-built BIM from laser scanned data of precast concrete elements for dimensional quality assessment (2024)

Wang, Q., Cheng, J. C. P., & Sohn, H. (2016). Automatic reconstruction of as-built BIM from laser scanned data of precast concrete elements for dimensional quality assessment. 114-122. Paper presented at 33rd International Symposium on Automation and Robotics in Construction, ISARC 2016, Auburn, United States. https://doi.org/10.22260/isarc2016/0015

Wang, Q. ; Cheng, J. C.P. ; Sohn, H. / Automatic reconstruction of as-built BIM from laser scanned data of precast concrete elements for dimensional quality assessment. Paper presented at 33rd International Symposium on Automation and Robotics in Construction, ISARC 2016, Auburn, United States.9 p.

@conference{30f01a19209f4261ad08eec8cc355dd8,

title = "Automatic reconstruction of as-built BIM from laser scanned data of precast concrete elements for dimensional quality assessment",

abstract = "Precast concrete elements are popularly used in the construction of buildings and infrastructures because they enable higher construction quality, less construction time, and less environmental impact. To ensure the performance of complete precast concrete systems, dimensional quality of individual precast concrete elements must be assessed before they are transported to the construction sites. However, the current quality assessment methods mainly rely on manual inspection with traditional measurement devices, which are inefficient and inaccurate. Besides, the quality assessment results are not well managed. To realize efficient and accurate quality assessment of precast concrete elements and to facilitate the management of quality assessment results, this study proposes a technique which can automatically reconstruct the as-built Building Information Models (BIM) from laser scan data of precast concrete elements for dimensional quality assessment. The proposed technique firstly performs a scan planning to determine the number of scans and the locations of scanners. Then, the preprocessing of scan data removes noisy data and registers multiple scans in a global coordinate system. Afterwards, the as-built geometries of the element are extracted from the registered scan data, and finally the as-built BIM is reconstructed. To validate the proposed technique, a scanning experiment was conducted on a small-scale test specimen. The experimental results demonstrate that the proposed technique can accurately and efficiently create asbuilt BIM of precast concrete elements.",

keywords = "As-built BIM reconstruction, Building Information Models, Laser scanning, Precast concrete elements, Quality assessment",

author = "Q. Wang and Cheng, {J. C.P.} and H. Sohn",

year = "2016",

doi = "10.22260/isarc2016/0015",

language = "English",

pages = "114--122",

note = "33rd International Symposium on Automation and Robotics in Construction, ISARC 2016 ; Conference date: 18-07-2016 Through 21-07-2016",

}

Wang, Q, Cheng, JCP & Sohn, H 2016, 'Automatic reconstruction of as-built BIM from laser scanned data of precast concrete elements for dimensional quality assessment', Paper presented at 33rd International Symposium on Automation and Robotics in Construction, ISARC 2016, Auburn, United States, 18/07/16 - 21/07/16 pp. 114-122. https://doi.org/10.22260/isarc2016/0015

Automatic reconstruction of as-built BIM from laser scanned data of precast concrete elements for dimensional quality assessment. / Wang, Q.; Cheng, J. C.P.; Sohn, H.
2016. 114-122 Paper presented at 33rd International Symposium on Automation and Robotics in Construction, ISARC 2016, Auburn, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Automatic reconstruction of as-built BIM from laser scanned data of precast concrete elements for dimensional quality assessment

AU - Wang, Q.

AU - Cheng, J. C.P.

AU - Sohn, H.

PY - 2016

Y1 - 2016

N2 - Precast concrete elements are popularly used in the construction of buildings and infrastructures because they enable higher construction quality, less construction time, and less environmental impact. To ensure the performance of complete precast concrete systems, dimensional quality of individual precast concrete elements must be assessed before they are transported to the construction sites. However, the current quality assessment methods mainly rely on manual inspection with traditional measurement devices, which are inefficient and inaccurate. Besides, the quality assessment results are not well managed. To realize efficient and accurate quality assessment of precast concrete elements and to facilitate the management of quality assessment results, this study proposes a technique which can automatically reconstruct the as-built Building Information Models (BIM) from laser scan data of precast concrete elements for dimensional quality assessment. The proposed technique firstly performs a scan planning to determine the number of scans and the locations of scanners. Then, the preprocessing of scan data removes noisy data and registers multiple scans in a global coordinate system. Afterwards, the as-built geometries of the element are extracted from the registered scan data, and finally the as-built BIM is reconstructed. To validate the proposed technique, a scanning experiment was conducted on a small-scale test specimen. The experimental results demonstrate that the proposed technique can accurately and efficiently create asbuilt BIM of precast concrete elements.

AB - Precast concrete elements are popularly used in the construction of buildings and infrastructures because they enable higher construction quality, less construction time, and less environmental impact. To ensure the performance of complete precast concrete systems, dimensional quality of individual precast concrete elements must be assessed before they are transported to the construction sites. However, the current quality assessment methods mainly rely on manual inspection with traditional measurement devices, which are inefficient and inaccurate. Besides, the quality assessment results are not well managed. To realize efficient and accurate quality assessment of precast concrete elements and to facilitate the management of quality assessment results, this study proposes a technique which can automatically reconstruct the as-built Building Information Models (BIM) from laser scan data of precast concrete elements for dimensional quality assessment. The proposed technique firstly performs a scan planning to determine the number of scans and the locations of scanners. Then, the preprocessing of scan data removes noisy data and registers multiple scans in a global coordinate system. Afterwards, the as-built geometries of the element are extracted from the registered scan data, and finally the as-built BIM is reconstructed. To validate the proposed technique, a scanning experiment was conducted on a small-scale test specimen. The experimental results demonstrate that the proposed technique can accurately and efficiently create asbuilt BIM of precast concrete elements.

KW - As-built BIM reconstruction

KW - Building Information Models

KW - Laser scanning

KW - Precast concrete elements

KW - Quality assessment

UR - http://www.scopus.com/inward/record.url?scp=84994298576&partnerID=8YFLogxK

U2 - 10.22260/isarc2016/0015

DO - 10.22260/isarc2016/0015

M3 - Paper

AN - SCOPUS:84994298576

SP - 114

EP - 122

T2 - 33rd International Symposium on Automation and Robotics in Construction, ISARC 2016

Y2 - 18 July 2016 through 21 July 2016

ER -

Wang Q, Cheng JCP, Sohn H. Automatic reconstruction of as-built BIM from laser scanned data of precast concrete elements for dimensional quality assessment. 2016. Paper presented at 33rd International Symposium on Automation and Robotics in Construction, ISARC 2016, Auburn, United States. doi: 10.22260/isarc2016/0015