Health monitoring of electric power communication line using a distributed optical fiber sensor

100

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.

Section: Applicationsmentioning

confidence: 99%

Recent Advances in Brillouin Optical Time Domain Reflectometry

Bai

Wang

et al. 2019

100

“…Brillouin scattering light is characterized by the linear relationship with strain and temperature in the frequency domain [ 72 , 73 , 74 , 75 , 76 , 77 ]. The Brillouin scattering-based DOFSs are particularly competent in the structural health monitoring of oil and gas facilities [ 78 , 79 , 80 , 81 , 82 , 83 , 84 ], power grids [ 83 , 85 , 86 , 87 , 88 , 89 , 90 ], tunnels, bridges, and pavements [ 91 , 92 , 93 , 94 , 95 , 96 , 97 ]. Meanwhile, geological disaster prewarning [ 98 , 99 , 100 , 101 , 102 ] and geophysical engineering [ 103 , 104 , 105 ] are also application targets.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Distributed Optical Fiber Sensor for the Multi-Parameter Measurements

Zhou

Wang

Yang

et al. 2023

Self Cite

Distributed optical fiber sensors (DOFSs) are a promising technology for their unique advantage of long-distance distributed measurements in industrial applications. In recent years, modern industrial monitoring has called for comprehensive multi-parameter measurements to accurately identify fault events. The hybrid DOFS technology, which combines the Rayleigh, Brillouin, and Raman scattering mechanisms and integrates multiple DOFS systems in a single configuration, has attracted growing attention and has been developed rapidly. Compared to a single DOFS system, the multi-parameter measurements based on hybrid DOFS offer multidimensional valuable information to prevent misjudgments and false alarms. The highly integrated sensing structure enables more efficient and cost-effective monitoring in engineering. This review highlights the latest progress of the hybrid DOFS technology for multi-parameter measurements. The basic principles of the light-scattering-based DOFSs are initially introduced, and then the methods and sensing performances of various techniques are successively described. The challenges and prospects of the hybrid DOFS technology are discussed in the end, aiming to pave the way for a vaster range of applications.

“…However, the OFSCI network is more sensitive to path failure than an ordinary fiber sensing network because in OFSCI the fiber sensing signal shares communication paths with other communication signals, instead of using its independent paths [ 14 , 18 , 19 , 20 ]. Thus, it is very important to theoretically assess each path’s failure probability in an OFSCI network and thereby reduce path failure probability before actually constructing the OFSCI.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic System Assisted Sensing Resource Allocation for Optical Fiber Sensing and Communication Integrated Network

Zhang

Wang²

2022

With the development of information transmission, there is an increasing demand for state monitoring of fiber-optic communication networks to improve the security and self-healing ability of the network. Distributed optical fiber sensing is one of the most attractive methods because it can achieve real-time detection of the whole network without additional sensing heads. However, when the sensing network is introduced into the communication network, the failure probability should be efficiently suppressed with limited sensing resources. In this paper, the fuzzy logic system is used to evaluate the impact of different sensing resource allocation on optical cable network quality. The link failure probability and path failure probability under the condition of uniform and non-uniform sensing resource allocation are simulated and analyzed, respectively. As shown in the analysis results, the failure probability under non-uniform allocation is significantly lower than under uniform allocation. In this paper, we discussed and addressed the allocation of the optical fiber sensing and communication integrated (OFSCI) network with the limited sensing resource for the first time. The results are helpful to develop an allocation strategy for optical fiber sensing and a communication integrated network with a higher robustness.