Identification and Monitoring of Operation Safety Status in Railway Freight Yard Based on Deep Learning
In recent years,China's railway has made certain achievements in management informatization,freight transportation digitalization,and other aspects.However,the whole process of freight transport still lacks intelligent monitoring,identification,analysis,and early warning of safety issues.Railway freight yard operations are still supervised with the help of front-end cameras,and the identification of safety risks during operations relies on an extensive mode featuring manual control and decisions from experience.Safety hazards tend to occur under this mode with high work intensity.This paper extracted the points of static unsafety status and dynamic unsafety status identification by analyzing the points of operation safety risks identification in railway freight yards.Then,the deep learning technology was utilized to construct the framework of the operation safety supervision system in railway freight yards encompassing a whole process from intelligent identification to automatic warning.Finally,the technical solution ideas for realizing safe operation in railway freight yards were proposed.This achievement is of great significance in ensuring personal safety and improving safety monitoring and early warning in freight transport.
国家科技期刊平台
NSTL
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