面向铁路轨道的光纤物联网安全状态监测系统
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北京工业职业技术学院重点项目(No.BGY2022KY-18Z)资助。


Optical fiber internet of things safety condition monitoring system for railway tracks
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    摘要:

    为了准确地获取铁路轨道结构状态,提高测试点位灵敏度和抑制干扰,搭建了基于光纤物联网的状态监测系统,设计了一种可抑制非测试位置应力干扰的FBG传感器封装。系统通过多路光开关和波分复用技术实现在长距离上大范围监测轨道结构状态。采用三角形封装设计使非传感器对测试位置的应力响应不敏感。仿真分析了车轮挤压轨道后的应力场分布特性。分析了不同时刻测试位置处三个坐标轴方向上的应力变化,其中x轴向最大可达-1862 με。实验对本文设计的优化FBG封装结构的增敏效果进行定量分析,灵敏度达201 pm/kN,比未优化前提高了近8倍。在温漂补偿实验中,验证了无应力与有应力状态下,温度补偿都可以有效抑制测试环境温度变化造成的波长偏移。从动态测试曲线中,可以准确的提取测试位置的应变响应,最大波长偏移为2532 pm,符合设计要求。

    Abstract:

    In order to accurately obtain the structural state of the railway track,improve the sensitivity of the test point and suppress the interference,a condition monitoring system based on the optical fiber Internet of Things is built,and a FBG sensor package is designed that can suppress stress interference at the non test position.The system enables wide range monitoring of track structure status over long distances through multi channel optical switches and wavelength division multiplexing technology.The non sensor insensitive to stress response at the test location is made by the delta package design.The stress field distribution after wheel crush on the track is simulated and analyzed.The stress changes in the directions of the three coordinate axed at the test positions at different times are analyzed,with a maximum of 186.2 με in the x axis.The quantitatively analysis of the sensitization effect of the optimized FBG packaging structure designed in this paper shows a sensitivity of 20.1 pm/kN,which is nearly 8 times higher than that before the optimization.In the temperature drift compensation experiment,it is verified that the temperature compensation can effectively suppress the wavelength shift caused by the temperature change of the test environment in both unstressed and stressed states.From the dynamic test curve,the strain response of the test position can be accurately extracted,and the maximum wavelength shift is 253.2 pm,which meets the design requirements.

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方园,张小燕,孙洪迪.面向铁路轨道的光纤物联网安全状态监测系统[J].激光与红外,2023,53(6):912~918
FANG Yuan, ZHANG Xiao-yan, SUN Hong-di. Optical fiber internet of things safety condition monitoring system for railway tracks[J]. LASER & INFRARED,2023,53(6):912~918

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  • 最后修改日期:2022-09-08
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  • 在线发布日期: 2023-06-15
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