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Title |
Development of a Digital Twin?Based Smart Maintenance Platform for Railway Slopes
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Authors |
유용래(Yong-Rae Yu) ; 이창길(Changgil Lee) ; 김현기(Hyun-Ki Kim) ; 안호준(Hojune Ann) |
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DOI |
https://doi.org/10.11112/jksmi.2025.29.6.189 |
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Keywords |
디지털 트윈; 스마트 유지관리; 철도 비탈면; 3차원 모델링; 클라우드 플랫폼 Digital Twin; Smart Maintenance; 3D Modeling; Railway Slope; Cloud Platform |
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Abstract |
Railway cut slopes are critical yet traditionally inspected by labor?intensive visual surveys and text?based reports, which limit objectivity, efficiency, and long?term data use. This study develops a digital?twin?based smart maintenance platform that creates and manages three?dimensional models of railway slopes. Drone and mobile images are processed with SfM/MVS photogrammetry and deep?learning?based region?of?interest extraction to build lightweight, high?density 3D point clouds. Within the platform, inspectors can measure distance, slope, and deformation, detect geometric changes through cloud?to?cloud comparison, and automatically generate inspection reports consistent with domestic railway and slope safety regulations. All images, models, and reports are stored and managed in a cloud environment to support project?level history tracking. To validate the platform’s performance, field experiments were conducted at the Osong Railway Test Line. Results showed that 3D?based length measurements differed from design or survey values by about 0.35% (track gauge error 0.005?0.012 m; stepped retaining?wall height error 0.15?0.17 m), and slope angle errors were within 1°. These results confirm the technical feasibility and practical potential of the proposed platform for standardized, data?driven management of railway slopes.
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