Journal of Shanghai Jiao Tong University (Science) ›› 2020, Vol. 25 ›› Issue (2): 208-213.doi: 10.1007/s12204-020-2161-8

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Detection and Quantization Technique of Optical Distributed Acoustic Coupling Based on φ-OTDR

ZHANG Yang (张洋), XU Hongxuan (徐弘萱), ZHU Xianxun (朱贤训), ZHAO Zhiyang (赵之阳), ZUO Jiancun (左健存)   

  1. (1. School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai 201209, China; 2. Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China)
  • 出版日期:2020-04-01 发布日期:2020-04-01
  • 通讯作者: ZUO Jiancun (左健存) E-mail: jczuo@sspu.edu.cn

Detection and Quantization Technique of Optical Distributed Acoustic Coupling Based on φ-OTDR

ZHANG Yang (张洋), XU Hongxuan (徐弘萱), ZHU Xianxun (朱贤训), ZHAO Zhiyang (赵之阳), ZUO Jiancun (左健存)   

  1. (1. School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai 201209, China; 2. Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China)
  • Online:2020-04-01 Published:2020-04-01
  • Contact: ZUO Jiancun (左健存) E-mail: jczuo@sspu.edu.cn

摘要: The detection of multiple acoustic disturbances by optical fiber is a hot research topic in the field of optical fiber sensing. This paper considers adopting an optical distributed acoustic sensing (DAS) system to detect multiple acoustic disturbances, proposes a new approach to processing the DAS signal based on time-space average in frequency domain, and overcomes the randomness of DAS time domain signal. Finally, it obtains a functional model of single-frequency (50—1 000 Hz) sound pressure level and DAS signal intensity, and also the cut-off frequency of acoustic disturbance is detected by DAS system.

关键词: distributed acoustic sensing (DAS), sound pressure level, time-space average, quantitative analysis

Abstract: The detection of multiple acoustic disturbances by optical fiber is a hot research topic in the field of optical fiber sensing. This paper considers adopting an optical distributed acoustic sensing (DAS) system to detect multiple acoustic disturbances, proposes a new approach to processing the DAS signal based on time-space average in frequency domain, and overcomes the randomness of DAS time domain signal. Finally, it obtains a functional model of single-frequency (50—1 000 Hz) sound pressure level and DAS signal intensity, and also the cut-off frequency of acoustic disturbance is detected by DAS system.

Key words: distributed acoustic sensing (DAS), sound pressure level, time-space average, quantitative analysis

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