高铁周界异物入侵感知与识别系统

Perception and Recognition System of High-speed Railway Perimeter Intrusion

针对高铁周界异物入侵监测和预警需求,提出了一种融合分布式光纤传感技术、视频联动技术和智能识别技术的分布式、多维度高铁周界异物入侵感知与识别系统。通过使用布里渊光时域分析(BOTDA)技术进行应变监测以及相位光时域反射(Φ-OTDR)技术进行振动监测,可有效捕捉异物入侵事件。同时使用人工神经网络(ANN)对报警信号进行大数据分析,可降低系统误报率。该系统的应用能够大幅提高高铁运营安全预警完备率和应急响应效率,具有重大社会价值。

In order to meet the requirements of monitoring and early warning of high-speed railway perimeter intrusion,this paper proposes a distributed and multi-dimensional high-speed railway perimeter foreign body intrusion perception and recognition system which integrates distributed optical fiber sensing technology,video linkage technology and intelligent identification technology.By using Brillouin optical time domain analysis(BOTDA)technology for strain monitoring and phase optical time domain reflection(Φ-OTDR)technology for vibration monitoring,intrusion events can be effectively captured.At the same time,using artificial neural network(ANN)for big data analysis of alarm signals can reduce the false alarm rate of the system.The application of the system can greatly improve the completion rate of high-speed rail operation safety warning and emergency response efficiency,which has great social value.