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Digital mapping of subway tunnels using special facilities

Authors: Paramonov S S

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.

Keywords: digital tunnel map, running subway tunnels, visual structural defects, panoramic photographs, connectives, facility, virtual geoimage, orthophotomap.
For citation:

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.

Acknowledgements:
Issue number: 9
Year: 2024
Page number: 32-46
ISBN: 0236-1493
UDK: 625.42:528.8.042
DOI: 10.25018/0236_1493_2024_9_0_32
Article receipt date: 30.04.2024
Date of review receipt: 13.06.2024
Date of the editorial board′s decision on the article′s publishing: 10.08.2024
About authors:

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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