Efficient and effective quality assessment of as-is building information models and 3d laser-scanned data

Pingbo Tang, E. B. Anil, B. Akinci, D. Huber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

35 Scopus citations

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. A preliminary evaluation of the results obtained through this approach show the potential of this method for achieving timely, detailed, comprehensive, and quantitative assessment of various types of data/model quality issues.

Original languageEnglish (US)
Title of host publicationCongress on Computing in Civil Engineering, Proceedings
Pages486-493
Number of pages8
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 ASCE International Workshop on Computing in Civil Engineering - Miami, FL, United States
Duration: Jun 19 2011Jun 22 2011

Other

Other2011 ASCE International Workshop on Computing in Civil Engineering
CountryUnited States
CityMiami, FL
Period6/19/116/22/11

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Keywords

  • Assessment
  • Building information models
  • Data analysis

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

Cite this

Tang, P., Anil, E. B., Akinci, B., & Huber, D. (2011). Efficient and effective quality assessment of as-is building information models and 3d laser-scanned data. In Congress on Computing in Civil Engineering, Proceedings (pp. 486-493) https://doi.org/10.1061/41182(416)60