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Paper ID:IJSREM20153

Scan to BIM Technologies for Construction

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM20153

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SP

Sanket Pawar

KM

Kalpesh Methekar

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Abstract

Building information modelling has been greatly facilitated by the recent development of technology that supports the use of data-rich models in architecture. Parallel to this, 3D high definition laser scanning technology’s capabilities have rapidly increased and it is now widely used.The potential to record the current built environment is obvious, even if laser scanning has frequently been linked to fields other than architecture and construction (such as heavy engineering and oil and gas projects). In fact, well-established ideas in architecture and materials conservation about how crucial it is to precisely monitor and detect the significance of surface characteristics are ideally suited to the use of scanning to record geometrical quirks as well as planned detail. The workflow processes needed to incorporate the output of laser scan data into a BIM environment are covered in this study. Although point clouds can be imported into industry-standard BIM software, some post-processing and modelling are still necessary to get the most out of the highly accurate and frequently massive data files. We outline a method for transforming cloud data into realistic surface meshes and investigate how the resulting models might be connected to meta data in a BIM environment.

KEYWORDS

Keywords: building information modelling 3D point clouds LiDAR registration semantic segmentation interoperability

Cite This Article

Sanket Pawar, Kalpesh Methekar, "Scan to BIM Technologies for Construction," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023.

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Publication Date

7/4/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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