Automated Construction Monitoring Using Drone Technology And Digital Twins

Abstract

The construction industry faces significant challenges in terms of project tracking, quality assurance, and making real-time decisions. The study examines the transformations that are possible when considering the use of drone technology in combination with digital twinning structures to automate construction site monitoring. This paper demonstrates that integrating uncrewed aerial vehicles (UAVs) and digital twin models enables the transformation of construction supervision. Key results indicate an increase in monitoring efficiency, with a potential decrease in inspection time of up to 75%, improved accuracy in tracking progress, and cost savings resulting from early identification of problems. The embedding enables real-time data synchronisation between the actual construction site and a virtual digital twin model, supporting predictive capabilities and active project management. This study contributes to a strategy guide on industry adoption, technical difficulty, regulatory, and organisational issues, emphasising the importance of this technology convergence to innovative construction practices.