Optimising Construction Site Auditing: A Novel Methodology Integrating Ground Drones and Building Information Modelling (BIM) Analysis
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| Publicat a: | Drones vol. 9, no. 4 (2025), p. 277 |
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| Autor principal: | |
| Altres autors: | , , |
| Publicat: |
MDPI AG
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| Matèries: | |
| Accés en línia: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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MARC
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|---|---|---|---|
| 001 | 3194571218 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2504-446X | ||
| 024 | 7 | |a 10.3390/drones9040277 |2 doi | |
| 035 | |a 3194571218 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 100 | 1 | |a Guerrero-Sevilla, Diego |u Cartographic and Land Engineering Department, Higher Polytechnic School of Avila, Universidad de Salamanca, 37008 Salamanca, Spain; dguerrero@usal.es (D.G.-S.); amorcillosanz@usal.es (A.M.-S.) | |
| 245 | 1 | |a Optimising Construction Site Auditing: A Novel Methodology Integrating Ground Drones and Building Information Modelling (BIM) Analysis | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Monitoring and management of construction sites are critical to ensuring project success, efficiency, and safety. Traditional methods often struggle to provide real-time, accurate, and comprehensive data, leading to delays, cost overruns, and errors. This paper presents a novel methodology utilising a ground drone for auditing construction sites to detect changes and deviations from planned Building Information Modelling (BIM). The methodology focuses on developing a novel tool that facilitates Scan-vs-BIM auditing through time. Experimental results are presented, demonstrating the effectiveness and accuracy of the proposed methodology for assessing structural discrepancies. This research contributes to advancing construction auditing practices by integrating state-of-the-art technologies and innovative techniques, ultimately enhancing project monitoring and management processes in the construction industry. | |
| 653 | |a Innovations | ||
| 653 | |a Accuracy | ||
| 653 | |a Construction sites | ||
| 653 | |a Methodology | ||
| 653 | |a Spreadsheets | ||
| 653 | |a Buildings | ||
| 653 | |a Modelling | ||
| 653 | |a Construction management | ||
| 653 | |a Decision making | ||
| 653 | |a Project management | ||
| 653 | |a Quality control | ||
| 653 | |a Archives & records | ||
| 653 | |a Data processing | ||
| 653 | |a Methods | ||
| 653 | |a Construction industry | ||
| 653 | |a Automation | ||
| 653 | |a Monitoring | ||
| 653 | |a Real time | ||
| 653 | |a Engineering firms | ||
| 653 | |a Building information modeling | ||
| 653 | |a Human error | ||
| 653 | |a Nuclear power plants | ||
| 653 | |a Information management | ||
| 653 | |a Efficiency | ||
| 700 | 1 | |a Rodríguez-Gómez Rocío |u Construction and Agronomy Department, Higher Polytechnic School of Zamora, Universidad de Salamanca, 37008 Salamanca, Spain | |
| 700 | 1 | |a Morcillo-Sanz, Alberto |u Cartographic and Land Engineering Department, Higher Polytechnic School of Avila, Universidad de Salamanca, 37008 Salamanca, Spain; dguerrero@usal.es (D.G.-S.); amorcillosanz@usal.es (A.M.-S.) | |
| 700 | 1 | |a Gonzalez-Aguilera, Diego |u Cartographic and Land Engineering Department, Higher Polytechnic School of Avila, Universidad de Salamanca, 37008 Salamanca, Spain; dguerrero@usal.es (D.G.-S.); amorcillosanz@usal.es (A.M.-S.) | |
| 773 | 0 | |t Drones |g vol. 9, no. 4 (2025), p. 277 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3194571218/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3194571218/fulltextwithgraphics/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3194571218/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |