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Distributed optical fiber sensor using Sagnac for acoustic detection

 

WANG Yun-cai1,2, GONG Li-shuang1, JIN Bao-quan1,2, WANG Dong1, WU Rui-dong1, WANG Yu1

 

(1. Key Laboratory of Advanced Transducers and Intelligent Control Systems, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China; 2. State Key Laboratory of Coal and CBM Co-mining, Jincheng 048000, China)

 

Abstract: A distributed optical fiber acoustic sensor based on in-line Sagnac is presented. After clockwise and counterclockwise light waves are recombined, interference in 3×3 coupler is produced. The acoustic sensor uses photo detector (PD), data acquisition card, filter and amplification to realize photo electric conversion and recover acoustic signal. To study the performance of this acoustic sensor, localization principle based on null frequency is analyzed. To reveal null frequencies from the acoustic disturbance position, a fast Fourier transform (FFT) is applied to transform time domain signal data into frequency domain signal. The results demonstrate that the Sagnac distributed optical fiber sensor can retransmit acoustic signal and the location performance is verified by simulation and experiment.

 

Key words: Sagnac; acoustic sensor; null frequency; localization

 

CLD number: TH744Document code: A

 

Article ID: 1674-8042(2017)01-0084-05   doi: 10.3969/j.issn.1674-8042-2017-01-013

 

References

 

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基于Sagnac的分布式光纤传感声学传感器

 

王云才1,2,  龚利爽1, 靳宝全1,2, 王东1, 吴瑞东1, 王宇1

 

(1. 太原理工大学 新型传感器与智能控制教育部与山西省重点实验室, 山西 太原 030024; 2. 煤与煤层气共采国家重点实验室, 山西 晋城 048000)

 

摘要:介绍了一种基于Sagnac的分布式光纤声学传感器。 这种声学传感器通过光电探测器、 数据采集卡、 滤波器和音频放大将3×3耦合器处干涉的光信号转换为电信号且实现音频信号的还原。 为了研究此分布式光纤声学传感器的性能, 分析了基于零频点实验声源扰动定位的原理, 并运用快速傅立叶变换将时域信号转化为频域信号显示声源扰动产生的零频点。  实验结果表明, 基于Sagnac的分布式光纤声学传感系统可以很好地实现声音信号的还原和定位。

 

关键词:Sagnac; 声音传感; 零频点; 定位

 

引用格式:WANG Yun-cai, GONG Li-shuang, JIN Bao-quan, et al. Distributed optical fiber sensor using Sagnac for acoustic detection. Journal of Measurement Science and Instrumentation, 2017, 8(1): 84-88. [doi: 10.3969/j.issn.1674-8042.2017-01-013]

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