Efficient and Effective Quality Assessment of As-Is Building Information Models and 3D Laser-Scanned Data
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.
BibTeX
@workshop{Tang-2011-7300,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 ASCE International Workshop on Computing in Civil Engineering},
year = {2011},
month = {June},
keywords = {Building Information Modeling, Laser Scanning, Quality Assessment},
}