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A Digital Information Model Framework for UAS-Enabled Bridge Inspection

Author

Listed:
  • Kamal Achuthan

    (Department of Civil, Environmental and Geomatic Engineering, University College London, London WC1E 6BT, UK)

  • Nick Hay

    (Department of Civil, Environmental and Geomatic Engineering, University College London, London WC1E 6BT, UK)

  • Mostafa Aliyari

    (Faculty of Computer Science, Engineering and Economics, Østfold University College, 1757 Halden, Norway)

  • Yonas Zewdu Ayele

    (Faculty of Computer Science, Engineering and Economics, Østfold University College, 1757 Halden, Norway
    Department of Risk Safety and Security, Institute for Energy Technology, 1777 Halden, Norway)

Abstract

Unmanned aerial systems (UAS) provide two main functions with regards to bridge inspections: (1) high-quality digital imaging to detect element defects; (2) spatial point cloud data for the reconstruction of 3D asset models. With UAS being a relatively new inspection method, there is little in the way of existing framework for storing, processing and managing the resulting inspection data. This study has proposed a novel methodology for a digital information model covering data acquisition through to a 3D GIS visualisation environment, also capable of integrating within a bridge management system (BMS). Previous efforts focusing on visualisation functionality have focused on BIM and GIS as separate entities, which has a number of problems associated with it. This methodology has a core focus on the integration of BIM and GIS, providing an effective and efficient information model, which provides vital visual context to inspectors and users of the BMS. Three-dimensional GIS visualisation allows the user to navigate through a fully interactive environment, where element level inspection information can be obtained through point-and-click operations on the 3D structural model. Two visualisation environments were created: a web-based GIS application and a desktop solution. Both environments develop a fully interactive, user-friendly model which have fulfilled the aims of coordinating and streamlining the BMS process.

Suggested Citation

  • Kamal Achuthan & Nick Hay & Mostafa Aliyari & Yonas Zewdu Ayele, 2021. "A Digital Information Model Framework for UAS-Enabled Bridge Inspection," Energies, MDPI, vol. 14(19), pages 1-17, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6017-:d:640380
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    References listed on IDEAS

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    1. Yonas Zewdu Ayele & Mostafa Aliyari & David Griffiths & Enrique Lopez Droguett, 2020. "Automatic Crack Segmentation for UAV-Assisted Bridge Inspection," Energies, MDPI, vol. 13(23), pages 1-16, November.
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    Cited by:

    1. Mostafa Aliyari & Enrique Lopez Droguett & Yonas Zewdu Ayele, 2021. "UAV-Based Bridge Inspection via Transfer Learning," Sustainability, MDPI, vol. 13(20), pages 1-27, October.

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