激光与光电子学进展, 2020, 57 (5): 050001, 网络出版: 2020-03-05
基于相干瑞利散射的分布式光纤声波传感技术 
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Distributed Optical Fiber Acoustic Sensing Technology Based on Coherent Rayleigh Scattering
图 & 表
图 1. 直接探测式Φ-OTDR与基于时间差分的入侵检测[10]
Fig. 1. Direct detection Φ-OTDR and intrusion detection based on time difference[10]
图 2. 定量测量代表性方案。(a)数字相干相位解调[13];(b) 3×3耦合器方案[18];(c) PGC方案[20]
Fig. 2. Representative schemes of quantitative measurement. (a) Digital coherent phase demodulation[13]; (b) scheme using 3×3 coupler[18]; (c) PGC scheme[20]
图 3. 干涉衰落与散射光幅度的概率密度分布。(a)干涉衰落[34];(b)散射光幅度的概率密度分布[35]
Fig. 3. Interference fading and probability density distribution of scattering light amplitude. (a) Interference fading[34]; (b) probability density distribution of scattering light amplitude[35]
图 4. 信号衰落抑制代表性方案。(a)相位分集[35];(b)模式分集[40]
Fig. 4. Representative schemes for signal fading suppression. (a) Phase diversity[35]; (b) mode diversity[40]
图 5. 多色光并行采样和周期非均匀采样。(a)多色光并行采样[42];(b)周期非均匀采样[48]
Fig. 5. Multicolor parallel sampling and periodic non-uniform sampling. (a) Multicolor parallel sampling[42]; (b) periodic non-uniform sampling[48]
图 6. (a)基于脉冲压缩的高空间分辨率技术;(b) 20 km和(c) 75 km传感范围的实验结果[50-51]
Fig. 6. (a) High spatial resolution technology based on pulse compression; experimental results with sensing distance of (b) 20 km and (c) 75 km[50-51]
图 8. 多分类识别的深度神经网络测试结果[60]
Fig. 8. Test result of deep neural network using multi-classification recognition[60]
图 9. 列车轨迹检测[61]。(a)现场测试布设;(b)DAS的瀑布图结果
Fig. 9. Train track detection[61]. (a) Field test layout; (b) waterfall pattern with DAS
图 10. (a)基于DAS与(b)多分类识别混淆矩阵的铁路沿线安全检测[66]
Fig. 10. Railway safety monitoring based on (a) DAS and (b) confusion matrix of multi-classification recognition[66]
图 12. 不同二氧化碳注入量的地震波信号[69]。(a) 27 kt;(b) 110 kt;(c) 220 kt;(d) 330 kt
Fig. 12. Seismic signals for different injected volume of C
图 13. 基于DAS的VSP信号[70]。(a)三维分布;(b)可视化
Fig. 13. VSP signals based on DAS[70]. (a) 3D distribution; (b) visualization
图 14. 基于嵌入光纤的复合材料结构监测[72]
Fig. 14. Monitoring of composite material structure with embedded fiber[72]
图 15. 基于声发射的滑坡检测模型实验[73]。(a)侧视图;(b)俯视图
Fig. 15. Experiment of landslide detection model based on acoustic emission[73]. (a) Side view; (b) top view
图 16. 基于交通噪声的地质监测[76]。(a)光缆布设;探测信号的(b)时空分布与(c)频谱分布
Fig. 16. Geological monitoring based on traffic noise[76]. (a) Optical cable layout; (b) time-space distribution and (c) spectral distribution of detection signal
图 17. 基于通信光缆的地震信号探测。(a)光缆位置及走向[77];(b) DAS获取的地震信号[77];(c)不同位置处的地震信号[79]
Fig. 17. Seismic signal detection based on communication cable. (a) Position and direction of cable[77]; (b) seismic signals obtained by DAS[77]; (c) seismic signals at different positions[79]
图 18. 基于既有通信光缆与DAS技术的地质探测[78]。(a)地图上未标记的断层区域;(b)可能源于地球内部波的低频谐波噪声
Fig. 18. Geological detection based on existing communication cable and DAS technique[78]. (a) Unmarked fault zone on map; (b) low-frequency harmonic noise possibly derived from waves in the earth's interior
图 19. 基于超快激光的瑞利散射增强技术的方案示意图[84]
Fig. 19. Diagram of Rayleigh scattering enhancement technique based on ultrafast laser[84]
蔡海文, 叶青, 王照勇, 卢斌. 基于相干瑞利散射的分布式光纤声波传感技术[J]. 激光与光电子学进展, 2020, 57(5): 050001. Haiwen Cai, Qing Ye, Zhaoyong Wang, Bin Lu. Distributed Optical Fiber Acoustic Sensing Technology Based on Coherent Rayleigh Scattering[J]. Laser & Optoelectronics Progress, 2020, 57(5): 050001.
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