An application oriented scan-to-bim framework

Qian Wang, Jingjing Guo, Min Koo Kim

Research output: Journal article publicationJournal articleAcademic researchpeer-review

17 Citations (Scopus)

Abstract

Building information modelling (BIM) has been adopted in the construction industry. The success of BIM implementation relies on the accurate building information stored in BIM models. However, building information in BIM models can be inaccurate, out-of-date, or missing in real-world projects. 3D laser scanning has been leveraged to capture the accurate as-is conditions of buildings and create as-is BIM models of buildings; this is known as the scan-to-BIM process. Although industry practitioners and researchers have implemented and studied the scan-to-BIM process, there is no framework that systematically defines and discusses the key steps and considerations in the process. This study proposes an application-oriented framework for scan-to-BIM, which describes the four major steps of a scan-to-BIM process and their relationships. The framework is oriented towards the specific BIM application to be implemented using the created as-is BIM, and includes four steps: (1) identification of information requirements, (2) determination of required scan data quality, (3) scan data acquisition, and (4) as-is BIM reconstruction. Two illustrative examples are provided to demonstrate the feasibility of the proposed scan-to-BIM framework. Furthermore, future research directions within the scan-to-BIM framework are suggested.

Original languageEnglish
Article number365
JournalRemote Sensing
Volume11
Issue number3
DOIs
Publication statusPublished - 1 Feb 2019

Keywords

  • 3D laser scanning
  • As-is BIM reconstruction
  • Building information modelling (BIM)
  • Information requirements
  • Scan data quality
  • Scan-to-BIM
  • Scanning parameters

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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