Railway facilities safety monitoring system based on space-air-ground multi-source data

Aliang Xue; Hang Guo; Na Zhang; Long Miao

doi:10.1117/12.2680915

8 June 2023 Railway facilities safety monitoring system based on space-air-ground multi-source data

Aliang Xue, Hang Guo, Na Zhang, Long Miao

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127070M (2023) https://doi.org/10.1117/12.2680915
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

In view of many problems existing in the current railway transportation process, such as pedestrian crossing the guardrail, landslide, rock rolling, debris flow and other factors, this paper summarizes the research status of the underground railway foreign body intrusion monitoring system at home and abroad, and puts forward a railway facility safety monitoring system based on multi-source data from the sky and the sky. The system uses satellite, unmanned aerial vehicle, distributed optical fiber sensor, video, GNSS and GIS technologies to realize the safety monitoring of railway facilities, and formulates the technical scheme for the safety information management of space-based railway facilities, and tests and evaluates the research results through the test section. The development trend of railway facilities safety monitoring system is prospected as follows: foreign body intrusion monitoring at the boundary of key sections; Real-time monitoring of tunnel entrance and high slope section stones; Carry out dynamic monitoring of off-road safety environment.

Citation Download Citation

Aliang Xue, Hang Guo, Na Zhang, and Long Miao "Railway facilities safety monitoring system based on space-air-ground multi-source data", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127070M (8 June 2023); https://doi.org/10.1117/12.2680915

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