Efficient and Effective Quality Assessment of As-Is Building Information Models and 3D Laser-Scanned Data

Pingbo Tang, Engin Anil, Burcu Akinci, and Daniel Huber
Proceedings of the ASCE International Workshop on Computing in Civil Engineering, June, 2011.


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Abstract
Documenting as-is conditions of buildings using 3D laser scanning and Building Information Modeling (BIM) technology is being adopted as a practice for enhancing effective management of facilities. Many service providers generate as-is BIMs based on laser-scanned data. It is necessary to conduct timely and comprehensive assessments of the quality of the laser-scanned data and the as-is BIM generated from the data before using them for making decisions about facilities. This paper presents the data and as-is BIM QA requirements of civil engineers and demonstrates that the required QA information can be derived by analyzing the patterns in the deviations between the data and the as-is BIMs. We formalized this idea as a deviation analysis method for efficient and effective QA of the data and as-is BIMs. An evaluation of results obtained through this approach shows the potential of this method for achieving timely, detailed, comprehensive, and quantitative assessment of various types of data/model quality issues.

Keywords
Building Information Modeling, Laser Scanning, Quality Assessment

Notes
Sponsor: This material is based upon work supported by the U.S. General Services Administration under Grant No. GS00P09CYP0321. Any opinions, findings, conclusions, or recommendations presented in this publication are those of authors and do not necessarily reflect the views of the U.S. General Services Administration.
Associated Lab(s) / Group(s): 3D Vision and Intelligent Systems Group
Associated Project(s): Quality Assessment of As-built Building Information Models using Deviation Analysis

Text Reference
Pingbo Tang, Engin Anil, Burcu Akinci, and Daniel Huber, "Efficient and Effective Quality Assessment of As-Is Building Information Models and 3D Laser-Scanned Data," Proceedings of the ASCE International Workshop on Computing in Civil Engineering, June, 2011.

BibTeX Reference
@inproceedings{Tang_2011_6815,
   author = "Pingbo Tang and Engin Anil and Burcu Akinci and Daniel Huber",
   title = "Efficient and Effective Quality Assessment of As-Is Building Information Models and 3D Laser-Scanned Data",
   booktitle = "Proceedings of the ASCE International Workshop on Computing in Civil Engineering",
   month = "June",
   year = "2011",
}