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Current Issue

  • Research on Application of Key Technologies for UAV Intelligent Inspection of Railway Flood Control and Disaster Prevention
  • Li Bin, Zhang Junwu, Wang Shuang
  • 2025 Vol. 22 (3): 1-8. DOI:10.3969/j.issn.1673-4440.2025.03.001
  • Abstract ( ) PDF (3402KB)( )
  • In order to solve the problems of low efficiency, low recognition and alarm rate, and low accuracy of auxiliary assessment and judgment during inspection operation, and high operational risks for on-site inspection personnel in the process of identifying flood control and disaster prevention risks along railway lines, the construction plan of an intelligent inspection system for railway flood control and disaster prevention based on "drone+AI" is proposed. The industry policies and plans related to low altitude economy are studied, and the current application status of drones in the railway industry and the needs of railway flood control and disaster prevention are summarized and analyzed. Under the technical framework of "intelligent inspection of railway flood control and disaster prevention based on multi-sensor fusion", a UAV intelligent inspection system that meets the on-site inspection needs of the railway industry during the flood season has been designed and developed, with a focus on exploring the system composition, functions, and core key technologies. Through long-term on-site experiments and emergency drills during the flood season, the effectiveness of the intelligent inspection system of railway flood control and disaster prevention based on "drone+AI" and the accuracy of the recognition algorithms of natural disasters and safety events have been verified, providing strong technical support for strengthening railway safety control and emergency response capabilities.
Railway Signalling & Communication Engineering
  • 月刊 Monthly
  • 第22卷 第3期 总第期
  • Vol.22 No.3 S.No.
  • 出版: 2025-03-21
  • Published on:
  • 创刊:2004 年
  • First Issue: 2004