Kemerovo, Kemerovo, Russian Federation
Research and Design Institute for Information Technology, Signalling and Telecommunications on Railway Transport
Russian Federation
Russian Federation
Russian Federation
Currently, remote sensing data, including aerial survey data from unmanned aerial systems (UAS), is actively utilized across various industries. In railway infrastructure, UAS-based aerial surveys are employed, among other applications, to assess the condition of debris flow channels and areas prone to deformation due to permafrost degradation. The article demonstrates the effectiveness of UAS for monitoring potentially hazardous sites using aerial survey results: digital elevation models and orthomosaics. It has been established that traditional infrastructure inspection methods lack sufficient efficiency in evaluating the state of potentially hazardous objects. The article describes studies using aerial photography from UAS of a potentially dangerous mudflow and a section of the railway roadbed located in the permafrost zone. The lack of information obtained during the inspection of the mudflow log and protective structures from the railway track by track detourers is shown. The expediency of conducting aerial surveys with UAS in the thermal range to identify potentially dangerous areas of the earthbed in permafrost zones has also been demonstrated. Based on the conducted research, recommendations are provided for improving the railway infrastructure monitoring system, including the use of VTOL (Vertical Take-Off and Landing) unmanned aerial vehicles and additional engineering-geological surveys based on UAS data analysis.
unmanned aerial systems, railway, permafrost, digital elevation model, orthomosaic
1. Bryn' M.Ya., Bashirova D.R., Bagishyan A.G. Sravnitel'naya ocenka mobil'nogo lazernogo skanirovaniya, aerofotos'emki s bespilotnoy aviacionnoy sistemy i s'emki s kompleksnoy dorozhnoy laboratorii pri vypolnenii diagnostiki avtomobil'nyh dorog // Izvestiya Peterburgskogo universiteta putey soobscheniya. 2021. T. 18, № 2. S. 211–221. DOIhttps://doi.org/10.20295/1815-588X-2021-2-211-221.
2. Polyakova O.A., Proskurnya N.V. Deshifrirovanie i ego naznachenie // ColloquiumJournal. 2019. № 3-2(27). S. 64–65.
3. Marshall J.A., L’afflitto A., Sun W. A survey of guidance, navigation, and control systems for autonomous multi-rotor small unmanned aerial systems // Annual Reviews in Control. 2021. Vol. 52. P. 390–427. DOIhttps://doi.org/10.1016/j.arcontrol.2021.10.013.
4. Sacyuk A.V., Vorob'ev A.A. Osobennosti razrabotki bespilotnyh letatel'nyh apparatov dlya otrasli zheleznodorozhnogo transporta // Sbornik nauchnyh trudov Doneckogo instituta zheleznodorozhnogo transporta. 2023. № 68. S. 13–21.
5. Aldabergen U., Blagoveshchensky V., Ranova S., et al. Application of unmanned aerial vehicles to obtain morphometric characteristics of landslides // Reliability: Theory & Applications. 2023. No. SI5(75). P. 656–662. DOIhttps://doi.org/10.24412/1932-2321-2023-575-656-662.
6. Hmel'nov A.E., Gatchenko A.S. Razrabotka cifrovyh modeley rel'efa dlya melkovodnyh zon i pribrezhnyh territoriy ozera Baykal, Irkutskogo vodohranilischa i nizhnego b'efa Irkutskoy GES // Geografiya i prirodnye resursy. 2022. № 5S. S. 187–195. DOIhttps://doi.org/10.15372/GIPR20220520.
7. Filkin T., Sliusar N., Huber-Humer M., et al. Estimation of dump and landfill waste volumes using unmanned aerial systems // Waste Management. 2022. Vol. 139. P. 301–308. DOIhttps://doi.org/10.1016/j.wasman.2021.12.029.
8. Zong J., Zhu B., Hou Zh., et al. Evaluation and Comparison of Hybrid Wing VTOL UAV with Four Different Electric Propulsion Systems // Aerospace. 2021. Vol. 8. P. 256. DOIhttps://doi.org/10.3390/aerospace8090256.
9. Bogdanov A.I., Kvashuk S.V. Dinamika izmeneniya geokriologicheskih usloviy vostochnogo podhoda Severomuyskogo tonnelya // Izvestiya Transsiba. 2024. № 2(58). S. 89–100.
10. Smirnov V.V., Zemenkov Yu.D. Problemy obespecheniya nadezhnosti ekspluatacii sooruzheniy v kriolitozone // Innovacii v nauke. 2013. № 25. S. 57–65.
