铁路防洪防灾无人机智能巡检关键技术应用研究

doi:10.3969/j.issn.1673-4440.2025.03.001

铁路通信信号工程技术 ›› 2025, Vol. 22 ›› Issue (3): 1-8.DOI: 10.3969/j.issn.1673-4440.2025.03.001

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铁路防洪防灾无人机智能巡检关键技术应用研究

李斌，张俊武，王爽

北京佳讯飞鸿电气股份有限公司，北京 100089

收稿日期:2024-11-20 修回日期:2025-02-12 出版日期:2025-03-25 发布日期:2025-03-25
作者简介:李斌（1982—），男，高级工程师，硕士，主要研究方向：“轨道交通+AI技术”的新产品规划研发、市场拓展、市场研究、技术趋势研究，邮箱：libinb@jiaxun.com
基金资助:
北京佳讯飞鸿电气股份有限公司科技创新项目（JXFH2024-007）

Research on Application of Key Technologies for UAV Intelligent Inspection of Railway Flood Control and Disaster Prevention

Li Bin, Zhang Junwu, Wang Shuang

Beijing Jiaxun Feihong Electrical Co., Ltd, Beijing 100089, China

Received:2024-11-20 Revised:2025-02-12 Online:2025-03-25 Published:2025-03-25

摘要/Abstract

摘要： 为解决铁路沿线防洪防灾等风险隐患的排查过程中，巡检作业效率低、识别告警率低、辅助研判精度不高、现场巡检人员作业风险大等诸多问题，提出基于“无人机+AI”的铁路防洪防灾智能巡检系统建设方案。研究低空经济相关的行业政策规划，对无人机在铁路行业的应用现状及铁路防洪防灾需求进行归纳总结分析。在“多感知融合的铁路防洪防灾智能巡检”技术框架下，设计并研发一套契合铁路行业汛期现场巡检需求的无人机智能巡检系统，重点探讨系统的构成、功能和核心关键技术。通过长期的现场试验和汛期应急演练，验证基于“无人机+AI”的铁路防洪防灾智能巡检系统的有效性以及自然灾害和安全事件识别算法的准确性，为强化铁路安全管控能力和应急处置能力，提供强大的技术保障。

关键词: 低空经济, 无人机巡检, 多感知融合, AI智能分析, 深度学习

Abstract: 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.

Key words: low altitude economy, UAV inspection, multi-sensor fusion, AI intelligent analysis, deep learning

中图分类号:

李斌, 张俊武, 王爽. 铁路防洪防灾无人机智能巡检关键技术应用研究[J]. 铁路通信信号工程技术, 2025, 22(3): 1-8.

Li Bin, Zhang Junwu, Wang Shuang. Research on Application of Key Technologies for UAV Intelligent Inspection of Railway Flood Control and Disaster Prevention[J]. Railway Signalling & Communication Engineering, 2025, 22(3): 1-8.

图/表 9

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铁路防洪防灾无人机智能巡检关键技术应用研究

Research on Application of Key Technologies for UAV Intelligent Inspection of Railway Flood Control and Disaster Prevention

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