Automated BIM Reconstruction of Full-Scale Complex Tubular Engineering Structures Using Terrestrial Laser Scanning

Jiepeng Liu, Lihua Fu, Guozhong Cheng, Dongsheng Li, Jing Zhou, Na Cui, Y. Frank Chen

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Due to the accumulation of manufacturing errors of components and construction errors, there are always deviations between an as-built complex tubular engineering structure (CTES) and its as-designed model. As terrestrial laser scanning (TLS) provides accurate point cloud data (PCD) for scanned objects, it can be used in the building information modeling (BIM) reconstruction of as-built CTESs for life cycle management. However, few studies have focused on the BIM reconstruction of a full-scale CTES from missing and noisy PCD. To this end, this study proposes an automated BIM reconstruction method based on the TLS for a full-scale CTES. In particular, a novel algorithm is proposed to extract the central axis of a tubular structure. An extended axis searching algorithm is applied to segment each component PCD. A slice-based method is used to estimate the geometric parameters of curved tubes. The proposed method is validated through a full-scale CTES, where the maximum error is 0.92 mm.

Original languageEnglish (US)
Article number1659
JournalRemote Sensing
Volume14
Issue number7
DOIs
StatePublished - Apr 1 2022

All Science Journal Classification (ASJC) codes

  • General Earth and Planetary Sciences

Fingerprint

Dive into the research topics of 'Automated BIM Reconstruction of Full-Scale Complex Tubular Engineering Structures Using Terrestrial Laser Scanning'. Together they form a unique fingerprint.

Cite this