Digital mapping of subway tunnels using special facilities

Detection and recording of visual defects in lining in running tunnels are the necessary operations subject to current norms and specifications and are executed manually. All defects are entered in a special log by the maintenance personnel. Lining which is inspected for defects in running tunnels is a long and poorly illuminated surface. Considering difficult operating conditions, personnel needs much time to examine it in full. The technique development and the use of special facilities for the spatial data collection can enable finding and recording of lining defects more comprehensively, at a higher reliability and within a shorter time. The best alternative of human vision is computer vision assisted by artificial intelligence. Their use needs vertical geoimages containing spatial information about defects. Having a database of geoimages of defects, it is possible to train neural network to control technical state of running tunnels automatically. The virtual geoimages are created based in a digital map of a tunnel–an orthophotomap of the internal surface of a running tunnel. The article describes an approach to digital mapping of running tunnel surface using the photogrammetry. For the approach implementation, a mobile tunnel photo station with special connectives is designed and tested.

Paramonov S. S. Digital mapping of subway tunnels using special facilities. MIAB. Mining Inf. Anal. Bull. 2024;(9):32-46. [In Russ]. DOI: 10.25018/0236_1493_2024_9_0_32.

S.S. Paramonov, Senior Lecturer, NUST MISIS, 119049, Moscow, Russia, e-mail: paramonov.ss@misis.ru, ORCID ID: 0000-0002-0907-8184.

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