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Towards an automated photogrammetry-based approach for monitoring and controlling construction site activities

Omar, Hany; Mahdjoubi, Lamine; Kheder, Gamal

Authors

Hany Omar

Profile image of Lamine Mahdjoubi

Lamine Mahdjoubi Lamine.Mahdjoubi@uwe.ac.uk
Professor in Info. & Communication & Tech.

Gamal Kheder



Abstract

© 2018 Elsevier B.V. The construction industry has a poor productivity record, which was predominantly ascribed to inadequate monitoring of how a project is progressing at any given time. Most available approaches do not offer key stakeholders a shared understanding of project performance in real-time, which as a result fail to identify any project slippage on the original schedule. This paper reports on the development of a novel automatic system for monitoring, updating and controlling construction site activities in real-time. The proposed system seeks to harness advances in close-range photogrammetry to deliver an original approach that is capable of continuous monitoring of construction activities, with progress status determined, at any given time, throughout the construction lifecycle. The proposed approach has the potential to identify any deviation of as planned construction schedules, so prompt action can be taken because of an automatic notification system, which informs decision-makers via emails and SMS. This system was rigorously tested in a real-life case study of an in-progress construction site. The findings revealed that the proposed system achieved a significant high level of accuracy and automation, and was relatively cheap and easier to operate.

Journal Article Type Article
Acceptance Date Mar 15, 2018
Online Publication Date Mar 22, 2018
Publication Date Jun 1, 2018
Deposit Date Mar 19, 2018
Publicly Available Date Jun 23, 2019
Journal Computers in Industry
Print ISSN 0166-3615
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 98
Pages 172-182
DOI https://doi.org/10.1016/j.compind.2018.03.012
Keywords photogrammetry, point cloud, BIM, construction site, monitoring, delays
Public URL https://uwe-repository.worktribe.com/output/875443
Publisher URL https://doi.org/10.1016/j.compind.2018.03.012
Additional Information Additional Information : This is the author's accepted manuscript. The final published version is available at https://doi.org/10.1016/j.compind.2018.03.012
Contract Date Mar 19, 2018

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