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    Automatic as-built modeling for concurrent progress tracking of plant construction based on laser scanning

    Access Status
    Fulltext not available
    Authors
    Chai, J.
    Chi, H.
    Wang, X.
    Wu, Changzhi
    Jung, K.
    Lee, J.
    Date
    2016
    Type
    Journal Article
    
    Metadata
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    Citation
    Chai, J. and Chi, H. and Wang, X. and Wu, C. and Jung, K. and Lee, J. 2016. Automatic as-built modeling for concurrent progress tracking of plant construction based on laser scanning. Concurrent Engineering Research and Applications. 24 (4): pp. 369-380.
    Source Title
    Concurrent Engineering Research and Applications
    DOI
    10.1177/1063293X16670449
    ISSN
    1063-293X
    School
    Department of Construction Management
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/LP130100451
    URI
    http://hdl.handle.net/20.500.11937/50965
    Collection
    • Curtin Research Publications
    Abstract

    © SAGE Publications.The application of automatic as-built modeling based on laser scanning can potentially facilitate progress tracking and control in industrial plant construction. Although notable work has been conducted in the as-built modeling field, the level of automation and ability for programs to recognize semantic information is low. Semantic information, such as an installation schedule for industrial components, is vital for identifying actual construction progress. Unfortunately, as the current practices lack the ability to use robust process mapping to turn such information into corresponding as-built models, the current successful rate of recognition remains low. To fill these gaps, this article describes a new as-built modeling process for industrial components by incorporating segmentation and three-dimensional object recognition techniques from computer vision fields. Following the generation of the as-built model, the tracking process is able to identify schedule delays through deviation analysis between the as-built and four-dimensional as-designed models. The modeling process can be integrated in a concurrent construction environment, which provides precise feedback for planners and site managers to simultaneously maintain the quality of construction plans. A case study is conducted, which demonstrates that the developed process enables as-built modeling with semantic information and automatic construction progress tracking. With a certain number of as-built components of a dehydration module being captured, a successful recognition rate of over 90% is achieved. Furthermore, the processing time of the case study lies within an acceptable time period, which supports efficient progress tracking. The results show the feasibility of the developed process, which promises to save time and labor costs during construction.

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