Estimation of the Physical Progress of Work Using UAV and BIM in Construction Projects

Jose Manuel Palomino Ojeda; Lenin Quiñones Huatangari; Billy Alexis Cayatopa Calderon; José Luis Piedra Tineo; Christiaan Zayed Apaza Panca; Manuel Emilio Milla Pino

doi:10.28991/CEJ-2024-010-02-02

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Jose Manuel Palomino Ojeda
jose.palomino@est.unj.edu.pe
Research Institute of Data Science, National University of Jaen, Jaen 06800,, Peru https://orcid.org/0000-0001-7787-4740
Lenin Quiñones Huatangari Research Institute of Data Science, National University of Jaen, Jaen 06800,, Peru
Billy Alexis Cayatopa Calderon Seismological and Construction Research Institute, National University of Jaen, Jaen 06800,, Peru
José Luis Piedra Tineo Seismological and Construction Research Institute, National University of Jaen, Jaen 06800,, Peru
Christiaan Zayed Apaza Panca Faculty of Engineering, National University of Jaen, Jaen 06800,, Peru
Manuel Emilio Milla Pino Faculty of Engineering, National University of Jaen, Jaen 06800,, Peru

Vol. 10 No. 2 (2024): February

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The delay in the physical progress of construction creates additional costs, missed deadlines, and quality issues. The research aimed to estimate the physical progress of the project by using unmanned aerial vehicles (UAVs) and building information modeling (BIM). The methodology comprised capturing 848 high-resolution images of the Civil Engineering Laboratory construction site at the National University of Jaen, Cajamarca, Peru, using the Phantom 4 RTK drone. The photographs were processed using Agisoft 2.0.1 software, resulting in a point cloud. This was then imported into ReCap Pro 2023 software, which was used to assess the quality of the points. The Revit 2023 software was subsequently utilized to establish the phase parameters, linking the BIM model with the point cloud, filtering the model, and eventually exporting it to the Power BI 2023 software. The work's estimated progress utilizing the proposed methodology was 42.82%, which was not statistically significant compared to the Public Works Information System (INFOBRAS) of 43.14%. This allows for the automation of customary processes, the identification of crucial issues, and prompt decision-making. The study's originality lies in the suggestion of integrating aerial imagery with drones and BIM modeling for the real-time and precise estimation of work progression. This method provides a precise and effective substitute for traditional techniques for gauging the tangible advancement of projects.

Doi: 10.28991/CEJ-2024-010-02-02

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Palomino Ojeda, J. M., Quiñones Huatangari, L., Cayatopa Calderon, B. A., Piedra Tineo, J. L., Apaza Panca, C. Z., & Milla Pino, M. E. (2024). Estimation of the Physical Progress of Work Using UAV and BIM in Construction Projects. Civil Engineering Journal, 10(2), 362–383. https://doi.org/10.28991/CEJ-2024-010-02-02

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Publication Start Year:	2015
JCR 2024 Impact Factor (IF):	4.9
JIF QUARTILE:	Q1
SJR 2024 Quartile:	Q1
Acceptance Rate:	27%
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Issue Per Year:	12
Number of Volumes:	11
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Scopus CiteScore:	6.5
No. of Google Citations:	24065
Google h-index:	56
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Abstract Views:	11,481,612
PDF Download:	5,908,793

Estimation of the Physical Progress of Work Using UAV and BIM in Construction Projects

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