First Field Trial of Distributed Fiber Optical Sensing and High-Speed Communication Over an Operational Telecom Network

Huang, Ming-Fang; Ji, Philip N.; Wang, Ting; Aono, Yoshiaki; Salemi, Milad; Chen, Yuheng; Zhao, Jingnan; Xia, Tiejun J.; Wellbrock, Glenn A.; Huang, Yue-Kai; Milione, Giovanni; Ip, Ezra

doi:10.1109/jlt.2019.2935422

Cited by 102 publications

(38 citation statements)

References 16 publications

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“…With appropriate optical configurations, Φ-OTDR is capable of measuring vibration 23 , strain or temperature distribution 36,37,175 at high spatial resolution (~m) over long distance (~km). Such ability makes Φ-OTDR a promising tool in various scenarios, including geological exploration , perimeter monitoring [102][103][104][105][106][107][108][109][110][111][112] , traffic sensing 73,[113][114][115][116][117][118] , partial discharge monitoring 78,[119][120][121] , and other novel applications 94,95,[176][177][178][179][180][181][182][183] . This section reviews the recent progress of advancing Φ-OTDR applications in separate fields.…”

Section: Applications Of φ-Otdrmentioning

confidence: 99%

“…Open Access Publishing Agreement, Optical Society of America) Transportation Φ-OTDR has been utilized to detect the vibration or seismic wave generated by train and vehicle in motion, in order to monitor their position, speed and the overall traffic situation 73,[113][114][115][116][117][118] . With the help of more advanced signal processing methods to better analyze the traffic status, Φ-OTDR may play an important role in transportation monitoring in the near future.…”

Section: J U S T a C C E P T E Dmentioning

confidence: 99%

“…By employing pattern recognition algorithms in the signal post-processing stage, Φ-OTDR is also a promising tool for perimeter monitoring with the capability of accurate locating and recognizing intrusions [102][103][104][105][106][107][108][109][110][111][112] . Besides, Φ-OTDR has been applied for vehicle and train tracking for its broadband response and long coverage 73,[113][114][115][116][117][118] . Monitoring of partial discharge is also achieved by Φ-OTDR for electrical cable 78,[119][120][121] .…”

Section: Introductionmentioning

confidence: 99%

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Advances in phase-sensitive optical time-domain reflectometry

Liu¹,

Yu²,

Hong³

et al. 2022

OEA

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Phase-sensitive optical time-domain reflectometry (Φ-OTDR) has attracted numerous attention due to its superior performance in detecting the weak perturbations along the fiber. Relying on the ultra-sensitivity of light phase to the tiny deformation of optical fiber, Φ-OTDR has been treated as a powerful technique with a wide range of applications. It is fundamental to extract the phase of scattering light wave accurately and the methods include coherent detection, I/Q demodulation, 3 by 3 coupler, dual probe pulses, and so on. Meanwhile, researchers have also made great efforts to improve the performance of Φ -OTDR. The frequency response range, the measurement accuracy, the sensing distance, the spatial resolution, and the accuracy of event discrimination, all have been enhanced by various techniques. Furthermore, lots of researches on the applications in various kinds of fields have been carried out, where certain modifications and techniques have been developed. Therefore, Φ-OTDR remains as a booming technique in both researches and applications.

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Section: Applications Of φ-Otdrmentioning

confidence: 99%

Section: J U S T a C C E P T E Dmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Advances in phase-sensitive optical time-domain reflectometry

Liu¹,

Yu²,

Hong³

et al. 2022

OEA

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“…Any dynamic strain on the optical fiber induced by acoustic events can be remotely measured by a DAS interrogator located at one end of the fiber, and represented on a two-dimensional spatiotemporal map [2]. This technology has recently been used to detect and localize acoustic events of interest along and around a long fiber optic cable [3,4,5,6]. DAS is a linear sensing method and can only pinpoint the location of an acoustic event along the fiber relative to the location of the DAS interrogator.…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, the proposed scheme can be potentially implemented in other acoustic event localization applications by DAS, e.g. buried fiber cable localization [3], pipeline leakage detection [4], intrusion detection [5], and traffic monitoring [6].…”

Section: Introductionmentioning

confidence: 99%

Automatic Fine-Grained Localization of Utility Pole Landmarks on Distributed Acoustic Sensing Traces Based on Bilinear Resnets

Lü

Tian

Han

et al. 2021

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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In distributed acoustic sensing (DAS) on aerial fiber-optic cables, utility pole localization is a prerequisite for any subsequent event detection. Currently, localizing the utility poles on DAS traces relies on human experts who manually label the poles' locations by examining DAS signal patterns generated in response to hammer knocks on the poles. This process is inefficient, error-prone and expensive, thus impractical and non-scalable for industrial applications. In this paper, we propose two machine learning approaches to automate this procedure for large-scale implementation. In particular, we investigate both unsupervised and supervised methods for fine-grained pole localization. Our methods are tested on two real-world datasets from field trials, and demonstrate successful estimation of pole locations at the same level of accuracy as human experts and strong robustness to label noises.

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Distributed fiber optic sensors placement for infrastructure-as-a-sensor

Wang

2022

Photon Netw Commun

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First Field Trial of Distributed Fiber Optical Sensing and High-Speed Communication Over an Operational Telecom Network

Cited by 102 publications

References 16 publications

Advances in phase-sensitive optical time-domain reflectometry

Advances in phase-sensitive optical time-domain reflectometry

Automatic Fine-Grained Localization of Utility Pole Landmarks on Distributed Acoustic Sensing Traces Based on Bilinear Resnets

Distributed fiber optic sensors placement for infrastructure-as-a-sensor

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