Augmented reality to enable users to identify deviations for model reconciliation

Jad Chalhoub, Steven K. Ayer, Kieren H. McCord

Research output: Contribution to journalArticlepeer-review

Abstract

Effective use of Building Information Modeling (BIM) during operation typically requires modeled content to accurately match the built spaces, which necessitates effective field verification techniques to ensure that BIM content matches the actual built conditions. Some contractors lever-age laser scanning and other reality‐capture technologies to verify modeled content prior to turno-ver, but these approaches can be time‐ and resource‐intensive. Augmented reality (AR) enables users to view BIM content overlaid on their field of view of the built space. Research suggests potential for using AR for tasks related to field verification, but a study that systematically explores the specific types of deviations that can be detected with this technology is missing from the current liter-ature. This paper tasks participants with using immersive AR to identify deviations from BIM in a ceiling plenum space that includes installed Mechanical, Electrical and Plumbing (MEP) compo-nents, which would typically be included in a coordinated BIM. The results suggest that AR can enable users to effectively identify large deviations and missing building elements. However, the results do not indicate that AR effectively enables users to identify small deviations and can poten-tially lead to identifying false positive observations, where accurately constructed elements are per-ceived as deviating from BIM. These results suggest that immersive AR can effectively be used to check whether recently built elements conform to the intended BIM in instances where speed of verification is more important than adhering to strict tolerances. For instances where accuracy (less than two inches) is critical, the results of this work suggest that AR can be used to help determine where in the building more accurate, but more resource‐intensive, reality‐capture technologies should be used.

Original languageEnglish (US)
Article number77
Pages (from-to)1-19
Number of pages19
JournalBuildings
Volume11
Issue number2
DOIs
StatePublished - Feb 2021

Keywords

  • Augmented reality
  • Deviation detection
  • Laser scanning
  • Quality control

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Architecture
  • Building and Construction

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