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Automating progress measurement of construction projects

Zhang, X, Bakis, N, Lukins, T, Ibrahim, Y, Wu, S, Kagioglou, M, Aouad, G, Kaka, A and Trucco, E 2009, 'Automating progress measurement of construction projects' , Automation in Construction, 18 (3) , pp. 294-301.

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    Abstract

    The accurate and up to date measurement of work in progress on construction sites is vital for project management functions like schedule and cost control. Currently, it takes place using traditional building surveying techniques and visual inspections. The usually monthly measurements are error prone and not frequent enough for reliable and effective project controls. This paper explores the potential of using computer vision technology in assisting the project management task. In particular, it examines the development of an integrated building information system that aims to determine the progress of construction from digital images captured on site in order to semi-automate the work in progress measurement and calculation of interim payments as well as function as an early warning system of potential delays. The study focuses on the quantity rather than quality aspect of work and is limited to the superstructure of buildings.

    Item Type: Article
    Themes: Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science > QA076 Computer software
    Subjects / Themes > T Technology > TA Engineering (General). Civil engineering (General)
    Built and Human Environment
    Subjects outside of the University Themes
    Schools: Colleges and Schools > College of Science & Technology
    Colleges and Schools > College of Science & Technology > School of the Built Environment
    Colleges and Schools > College of Science & Technology > School of the Built Environment > Salford Centre for Research & Innovation (SCRI)
    Journal or Publication Title: Automation in Construction
    Publisher: Elsevier
    Refereed: Yes
    ISSN: 0926-5805
    Depositing User: Dr Nick Bakis
    Date Deposited: 16 Mar 2011 10:37
    Last Modified: 19 Aug 2014 12:59
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    URI: http://usir.salford.ac.uk/id/eprint/12965

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