| 基于全同弱光纤Bragg光栅阵列的铁路轨道监测系统 |
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| 引用本文： | 张翠,陶渊,童杏林,邓承伟,何为,甘维兵,王立新. 基于全同弱光纤Bragg光栅阵列的铁路轨道监测系统[J]. 红外与激光工程, 2019, 48(6): 622001-0622001(7). DOI: 10.3788/IRLA201948.0622001 |
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| 作者姓名： | 张翠 陶渊 童杏林 邓承伟 何为 甘维兵 王立新 |
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| 作者单位： | 1.武汉理工大学 光纤传感技术国家工程实验室,湖北 武汉 430070; |
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| 基金项目： | 国家自然科学基金（61575148）;国家高技术研究发展计划（2015AA043505）;湖北省技术创新专项（2017ACA167） |
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| 摘 要： | 现有的铁路轨道监测主要采用电类传感技术，易受电磁场、外界环境的影响，存在着安全的隐患。因此，采用基于全同弱光纤光栅（wFBG）阵列的铁路轨道应变在线监测技术，用于实时监测轨道的占用情况。通过有限元模拟仿真设计出能感测铁路应变的传感器结构，研究了传感器的封装技术。通过检测wFBG波长漂移得到应变信号从而实现高灵敏度应变测量。采用全同wFBG阵列对传感器和系统进行了实验室和现场实验研究。结果表明:该传感结构可以实现较小的光学损耗，并且能够保证传感器的灵敏度达到3.4 pm/，线性度达到0.997 82，迟滞误差达到0.8%。该铁路轨道在线监测系统可以满足铁路运行管理的实际需要。
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| 关 键 词： | 传感器 全同弱Bragg光栅阵列 铁路轨道 应变 分布式测量 |
| 收稿时间： | 2019-01-05 |
Monitoring system of railway track based on identity weak fiber Bragg grating array |
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| Affiliation: | 1.National Engineering Laboratory for Fiber Optic Sensing Technology,Wuhan University of Technology,Wuhan 430070,China;2.School of Mechanical and Electronic Engineering,Wuhan University of Technology,Wuhan 430070,China |
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| Abstract: | The existing monitoring technologies of railway tracks mainly use the technologies of electrical sensing. These technologies were easy to be affected by electromagnetic fields and external environments and there were potential security risks. Therefore, the on-line monitoring technology of railway track strain based on an identity weak fiber Bragg grating(wFBG) array was used to monitor the occupancy of the track in the real-time. The sensor's structure of sensing railway strain was designed by finite element simulation and the encapsulation technology of sensors was studied. The strain signal was obtained by detecting wFBG wavelength shift to achieve highly sensitive strain measurement. The identity wFBG arrays were used to verify this sensor and system in the laboratory and field experiments. The results show that the sensor structure can achieve a smaller optical loss, and can ensure that the sensitivity of the sensor reaches 3.4 pm/, the linearity reaches 0.997 82, and the hysteresis error reaches 0.8%. The online monitoring system of railway track can meet the actual needs of railway operation and management. |
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