Development of Digital Twin in Bridge Assessment Using Unmanned Aerial Vehicles for Maintaining the Property of the Department of Highways

Authors

  • ภัททิยะ พึ่งวงศ์ ภาควิชาวิศวกรรมโยธา จุฬาลงกรณ์มหาวิทยาลัย
  • Assoc. Prof. Department of Civil Engineering,Faculty of Engineering, Chulalongkorn University
  • Prof.Pochara Kruevit Civil Engineering Department, Faculty of Engineering, King Mongkut’s University of Technology North Bangkok

Keywords:

Digital twin, Unmanned Aerial Vehicle (UAV), 3D-reconstruction, Bridge inspection

Abstract

Digital twin (DT) is a key concept of industry 4.0 that can be applied in many fields, one of them is established for detailed virtual inspections and assessments of infrastructure assets, especially bridges. a digital twin model can be enabling users to monitor bridge also assessment to predictive maintenance, In the case of bridge, Unmanned Aerial Vehicle (UAV) is the most common advanced technologies that hold the potential to collect data and provide digital models by 3D-reconstruction process. This paper proposes the framework for developing a DT for bridge inspection and assessment that collect data from UAV-based photogrammetry ,a proof of concept case study based on the Thanarach Bridge in Ratchaburi, Data acquisition based on unmanned aerial vehicle (UAV) images and data storage from DOH, UAV-Based photogrammetry created 3D digital model as point cloud and then merge in to 3D bridge model to created digital twin model that consisted of information and surface model. The results of this research demonstrate the advantage of point cloud convert into 3D-Model process that applied in Digital Twin platforms with collecting data from UAV-based methodology for improve process of bridge inspection and assessment.

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Published

2023-07-09

How to Cite

พึ่งวงศ์ ภ., Pansuk, W. P., & Kruavit, P. (2023). Development of Digital Twin in Bridge Assessment Using Unmanned Aerial Vehicles for Maintaining the Property of the Department of Highways. The 28th National Convention on Civil Engineering, 28, INF14–1. Retrieved from https://conference.thaince.org/index.php/ncce28/article/view/2265