Publications / 2020 Proceedings of the 37th ISARC, Kitakyushu, Japan

Smart Tunnel Inspection and Assessment using Mobile Inspection Vehicle, Non-Contact Radar and AI

Toru Yasuda, Hideki Yamamoto, Mami Enomoto and Yasushi Nitta
Pages 1373-1379 (2020 Proceedings of the 37th ISARC, Kitakyushu, Japan, ISBN 978-952-94-3634-7, ISSN 2413-5844)

We have developed a mobile survey vehicle with a high-precision laser scanner measurements for deformation analysis, 20 video cameras for damage assessment on lining surface such as cracks and water leakage, and also a non-contact radar to detect lining thickness and cavity behind lining. In this paper, we report the development of a noncontact radar survey system mounted on a mobile inspection vehicle to detect inner defects and cavities behind lining concrete, and examination of efficiency of utilizing an integrated diagnosis system to assess the soundness comprehensively as well as value of compiling database of various unsoundness conditions including inner defects by a 3D visualizing technology. It supports the technical experts to evaluate the diagnosis and the cause of the damage in the tunnel. It contributes to efficient damage detection for tunnel inspection based on AI (Artificial Intelligence) and 3D visualization of various damage conditions, including inner defects.

Keywords: Tunnel inspection; Mobile survey technology; Noncontact radar; Lining defects and cavity detection; 3D visualization; Artificial Intelligence