4.6 Review

Recent Advances in Brillouin Optical Time Domain Reflectometry

期刊

SENSORS
卷 19, 期 8, 页码 -

出版社

MDPI
DOI: 10.3390/s19081862

关键词

distributed optical fiber sensing; BOTDR; spatial resolution; signal-to-noise ratio; cross-sensitivity; novel fiber; BOTDR application

资金

  1. National Natural Science Foundation of China [61805167]
  2. Coal-Bed Methane Joint Research Fund of Shanxi Province, China [2015012005, 2016012011]
  3. Social Development Project of Shanxi Province Key Research Plan [201703D321034]
  4. Key Research and Development (R&D) Projects of Shanxi Province [201803D121071]

向作者/读者索取更多资源

In the past two decades Brillouin-based sensors have emerged as a newly-developed optical fiber sensing technology for distributed temperature and strain measurements. Among these, the Brillouin optical time domain reflectometer (BOTDR) has attracted more and more research attention, because of its exclusive advantages, including single-end access, simple system architecture, easy implementation and widespread field applications. It is realized mainly by injecting optical pulses into the fiber and detecting the Brillouin frequency shift (BFS), which is linearly related to the change of ambient temperature and axial strain of the sensing fiber. In this paper, the authors provide a review of new progress on performance improvement and applications of BOTDR in the last decade. Firstly, the recent advances in improving the performance of BOTDRs are summarized, such as spatial resolution, signal-to-noise ratio and measurement accuracy, measurement speed, cross sensitivity and other properties. Moreover, novel-type optical fibers bring new characteristics to optic fiber sensors, hence we introduce the different Brillouin sensing features of special fibers, mainly covering the plastic optical fiber, photonic crystal fiber, few-mode fiber and other special fibers. Additionally, we present a brief overview of BOTDR application scenarios in many industrial fields and intelligent perception, including structural health monitoring of large-range infrastructure, geological disaster prewarning and other applications. To conclude, we discuss several challenges and prospects in the future development of BOTDRs.

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