Scientific Journal of Urbanism and Architecture
Deputy of Urban Development and Architecture
Volume 29, Issue 92 (12-2024)
2024, 29(92): 0-0 |
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Utilizing Aerial Imagery in Construction Project Management through the Digital Twin Model. Journal title 2024; 29 (92)
URL: http://journalabadi.ir/article-1-49-en.html
URL: http://journalabadi.ir/article-1-49-en.html
Abstract: (20 Views)
This study presents an operational framework for the optimized management of construction projects by leveraging the Digital Twin model. The objective is to explore the feasibility and benefits of integrating aerial data acquired by Unmanned Aerial Vehicles (UAVs) with Building Information Modeling (BIM) to generate a live, digital replica of ongoing construction projects.
Within this framework, periodic aerial imagery is collected from the project site and processed through photogrammetry to create a 3D as-built model. This model is then integrated with BIM, resulting in a Digital Twin that reflects the real-time physical status of the project.
The generated Digital Twin is linked to project management tools such as Primavera and Microsoft Project, enabling real-time monitoring, detection of execution discrepancies, delay prediction, and resource allocation optimization. Additionally, with the integration of environmental data via the Internet of Things (IoT), parameters such as safety, material performance, and environmental conditions are also simulated within the model.
Findings suggest that combining UAV, BIM, and Digital Twin technologies can significantly reduce rework, enhance transparency, and improve decision-making in construction management, positioning this approach as a novel paradigm in the field.
Within this framework, periodic aerial imagery is collected from the project site and processed through photogrammetry to create a 3D as-built model. This model is then integrated with BIM, resulting in a Digital Twin that reflects the real-time physical status of the project.
The generated Digital Twin is linked to project management tools such as Primavera and Microsoft Project, enabling real-time monitoring, detection of execution discrepancies, delay prediction, and resource allocation optimization. Additionally, with the integration of environmental data via the Internet of Things (IoT), parameters such as safety, material performance, and environmental conditions are also simulated within the model.
Findings suggest that combining UAV, BIM, and Digital Twin technologies can significantly reduce rework, enhance transparency, and improve decision-making in construction management, positioning this approach as a novel paradigm in the field.
Keywords: Construction project management, aerial imagery, UAVs, Digital Twin model, Building Information Modeling (BIM)
Type of Study: Research |
Subject:
General
Received: 2024/05/6 | Accepted: 2024/09/30 | Published: 2024/12/21
Received: 2024/05/6 | Accepted: 2024/09/30 | Published: 2024/12/21
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