Laser & Optoelectronics Progress, Volume. 57, Issue 5, 050001(2020)
Distributed Optical Fiber Acoustic Sensing Technology Based on Coherent Rayleigh Scattering
Fig. 1. Direct detection Φ-OTDR and intrusion detection based on time difference[10]
Fig. 7. Intrusion detection field test based on DAS[52]
Fig. 8. Test result of deep neural network using multi-classification recognition[60]
Fig. 9. Train track detection[61]. (a) Field test layout; (b) waterfall pattern with DAS
Fig. 10. Railway safety monitoring based on (a) DAS and (b) confusion matrix of multi-classification recognition[66]
Fig. 11. Detection data of DSA and conventional seismometer[67]
Fig. 12. Seismic signals for different injected volume of C
Fig. 13. VSP signals based on DAS[70]. (a) 3D distribution; (b) visualization
Fig. 14. Monitoring of composite material structure with embedded fiber[72]
Fig. 15. Experiment of landslide detection model based on acoustic emission[73]. (a) Side view; (b) top view
Fig. 16. Geological monitoring based on traffic noise[76]. (a) Optical cable layout; (b) time-space distribution and (c) spectral distribution of detection signal
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
Fig. 19. Diagram of Rayleigh scattering enhancement technique based on ultrafast laser[84]
Fig. 20. Principle of DAS based on multimode Rayleigh scattering[85]
Fig. 21. Model of distributed sensing array and equivalent sensing array[87]. (a) Model of distributed sensing array; (b) equivalent sensing array
Fig. 22. Three kinds of geometry configurations of optical fibers for multi-component measurement[89]
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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
Category: Reviews
Received: Jan. 20, 2020
Accepted: Feb. 12, 2020
Published Online: Mar. 5, 2020
The Author Email: Cai Haiwen (hwcai@siom.ac.cn)