WP090: The Inspections of As-built Construction Records by 3D Point Clouds

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Abstract/Contents

Abstract: This study establishes a method for recording and comparing the progress of an on-going construction site using 3D data retrieved by a 3D long-range laser scanner. For a comparison to scheduled categories, two point clouds reveal a construction condition of expanding, reducing, or changing status. The Boolean operations of point clouds provided a theoretical foundation for an algorithmic calculation of as-built construction process to display changes in details. We found that the as-built data were able to describe the building construction process based on what really occurs at a site, when 3D scans were made in stages or at various time intervals. Retrieved shapes were collected in a continuous manner or in a configuration as a whole. Once the clouds are retrieved and transferred into proper data format, the as-built schedule can be compared in a commercial available CAD platform to work with the environment currently used by most architecture or construction firms. An exemplification was made to a campus building construction site through the comparisons of data sets, as a proof in identifying the differences in phases, objects, volume, and details.

Type of resource	text
Date created	August 2004

Subject	CIFE
Subject	Center for Integrated Facility Engineering
Subject	Stanford University
Subject	4-D
Subject	Architecture
Subject	Construction
Genre	Technical report

Location	https://purl.stanford.edu/sw479yp0718

Use and reproduction: User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.

Preferred Citation: Shih, Naai-Jung and Wu, Ming-Chang and Kunz, John. (2004). WP090: The Inspections of As-built Construction Records by 3D Point Clouds. Stanford Digital Repository. Available at: http://purl.stanford.edu/sw479yp0718

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