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基于布里渊散射的分布式动态光纤应变传感

Distributed Dynamic Strain Sensing Based on Brillouin Scattering in Optical Fibers.

作者信息

Coscetta Agnese, Minardo Aldo, Zeni Luigi

机构信息

Department of Engineering, University of Campania "Luigi Vanvitelli", Via Roma 29, 81031 Aversa, Italy.

出版信息

Sensors (Basel). 2020 Oct 1;20(19):5629. doi: 10.3390/s20195629.

DOI:10.3390/s20195629
PMID:33019695
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7582639/
Abstract

Over the past three decades, extensive research activity on Brillouin scattering-based distributed optical fiber sensors has led to the availability of commercial instruments capable of measuring the static temperature/strain distribution over kilometer distances and with high spatial resolution, with applications typically covering structural and environmental monitoring. At the same time, the interest in dynamic measurements has rapidly grown due to the relevant number of applications which could benefit from this technology, including structural analysis for defect identification, vibration detection, railway traffic monitoring, shock events detection, and so on. In this paper, we present an overview of the recent advances in Brillouin-based distributed optical fiber sensors for dynamic sensing. The aspects of the Brillouin scattering process relevant in distributed dynamic measurements are analyzed, and the different techniques are compared in terms of performance and hardware complexity.

摘要

在过去三十年中，基于布里渊散射的分布式光纤传感器开展了广泛的研究活动，现已出现能够测量长达数公里距离且具有高空间分辨率的静态温度/应变分布的商业仪器，其应用通常涵盖结构和环境监测。与此同时，由于大量应用能够从该技术中受益，包括用于缺陷识别的结构分析、振动检测、铁路交通监测、冲击事件检测等，对动态测量的兴趣迅速增长。在本文中，我们概述了基于布里渊的分布式光纤传感器在动态传感方面的最新进展。分析了分布式动态测量中与布里渊散射过程相关的方面，并在性能和硬件复杂性方面对不同技术进行了比较。

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本文引用的文献

1
Study on the signal-to-noise ratio of Brillouin optical-time domain analyzers.布里渊光时域分析仪的信噪比研究。
Opt Express. 2020 Jul 6;28(14):19864-19876. doi: 10.1364/OE.393928.
2
Multi-point dynamic strain sensing using external modulation-based Brillouin optical correlation domain analysis.基于外部调制的布里渊光相关域分析的多点动态应变传感
Opt Express. 2019 Jul 8;27(14):19486-19502. doi: 10.1364/OE.27.019486.
3
Single-shot BOTDA based on an optical chirp chain probe wave for distributed ultrafast measurement.基于光学啁啾链探测波的单次测量布里渊光时域分析用于分布式超快测量。
基于瑞利噪声谱的布里渊光相关域反射测量中调制幅度的精确估计
Sci Rep. 2024 Apr 6;14(1):8112. doi: 10.1038/s41598-024-56426-2.
4
Systematic-error suppression in low-coherence Brillouin optical correlation-domain reflectometry.低相干布里渊光相关域反射测量中的系统误差抑制
Sci Rep. 2023 Oct 16;13(1):17531. doi: 10.1038/s41598-023-44801-4.
5
Long Range Raman-Amplified Distributed Acoustic Sensor Based on Spontaneous Brillouin Scattering for Large Strain Sensing.基于自发布里渊散射的远程拉曼放大分布式声学传感器用于大应变传感
Sensors (Basel). 2022 Mar 6;22(5):2047. doi: 10.3390/s22052047.
Light Sci Appl. 2018 Jul 11;7:32. doi: 10.1038/s41377-018-0030-0. eCollection 2018.
4
Enhancing strain dynamic range of slope-assisted BOTDA by manipulating Brillouin gain spectrum shape.通过操纵布里渊增益谱形状提高斜率辅助布里渊光时域分析的应变动态范围
Opt Express. 2018 Dec 10;26(25):32599-32607. doi: 10.1364/OE.26.032599.
5
Ultrahigh-speed distributed Brillouin reflectometry.超高速分布式布里渊反射测量法
Light Sci Appl. 2016 Dec 16;5(12):e16184. doi: 10.1038/lsa.2016.184. eCollection 2016 Dec.
6
Ultra-Long-Distance Hybrid BOTDA/Ф-OTDR.超长距离混合布里渊光时域反射计/频域光时域反射计
Sensors (Basel). 2018 Mar 25;18(4):976. doi: 10.3390/s18040976.
7
Slope-assisted BOTDA based on vector SBS and frequency-agile technique for wide-strain-range dynamic measurements.基于矢量布里渊散射和频率捷变技术的斜率辅助布里渊光时域分析用于宽应变范围动态测量
Opt Express. 2017 Feb 6;25(3):1889-1902. doi: 10.1364/OE.25.001889.
8
Single-shot distributed Brillouin optical time domain analyzer.单脉冲分布式布里渊光时域分析仪。
Opt Express. 2017 Jun 26;25(13):15188-15198. doi: 10.1364/OE.25.015188.
9
Single-measurement digital optical frequency comb based phase-detection Brillouin optical time domain analyzer.基于单测量数字光学频率梳的相位检测布里渊光时域分析仪。
Opt Express. 2017 Apr 17;25(8):9213-9224. doi: 10.1364/OE.25.009213.
10
Cost-effective method for fast Brillouin optical time-domain analysis.用于快速布里渊光时域分析的经济高效方法。
Opt Express. 2016 Oct 31;24(22):25424-25431. doi: 10.1364/OE.24.025424.