Next Article in Journal
Soil Moisture Retrieval Model for Remote Sensing Using Reflected Hyperspectral Information
Previous Article in Journal
Ten Years of TerraSAR-X—Scientific Results
Article Menu
Issue 3 (February-1) cover image

Export Article

Open AccessArticle
Remote Sens. 2019, 11(3), 365; https://doi.org/10.3390/rs11030365

An Application Oriented Scan-to-BIM Framework

1
Department of Building, School of Design and Environment, National University of Singapore, Singapore 117566, Singapore
2
Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong 999077, China
*
Author to whom correspondence should be addressed.
Received: 3 January 2019 / Revised: 24 January 2019 / Accepted: 11 February 2019 / Published: 12 February 2019
Full-Text   |   PDF [6577 KB, uploaded 12 February 2019]   |  

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 However, building information in BIM models can be inaccurate, out-of-date, or missing in real-world projects. 3D laser scanning has been leveraged to capture the accurate as-is conditions of buildings and create as-is BIM models of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. View Full-Text
Keywords: 3D laser scanning; building information modelling (BIM); scan-to-BIM; information requirements; scan data quality; scanning parameters; as-is BIM reconstruction 3D laser scanning; building information modelling (BIM); scan-to-BIM; information requirements; scan data quality; scanning parameters; as-is BIM reconstruction
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Wang, Q.; Guo, J.; Kim, M.-K. An Application Oriented Scan-to-BIM Framework. Remote Sens. 2019, 11, 365.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top