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Low latency disturbance detection using distributed optical fiber sensors
University of Brasilia, Brazil.
University of Campinas, Brazil.ORCID-id: 0000-0002-0137-4245
RISE - Research Institutes of Sweden, ICT, Acreo.ORCID-id: 0000-0001-8058-2140
University of Campinas, Brazil.
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2017 (Engelska)Ingår i: Proceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017, 2017, s. 372-377Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Distributed optical fiber sensors based on phase-sensitive optical time domain reflectometry (Φ-OTDR) are feasible options to detect perturbations in kilometric security perimeters or mechanical structures. This technique takes advantage of electromagnetic interference immunity, small dimensions, lightweight, flexibility, and capability. Moreover, this technique can be combined with dedicated hardware architectures, in order to improve its performance and reliability. This work proposes the use of parallel hardware architectures to implement real-time detecting and locating perturbations in a Φ-OTDR distributed optical fiber vibration sensor. Hardware architectures of the iterative moving average filter and the Sobel filter were mapped on field programmable gate arrays, exploring the intrinsic parallelism in order to achieve real-time requirements. A performance comparison between the proposed solutions was addressed in terms of hardware cost, latency and power consumption.

Ort, förlag, år, upplaga, sidor
2017. s. 372-377
Nyckelord [en]
Distributed sensors, FPGAs, Hardware architectures, Optical fiber vibration sensors, Optical time-domain reflectometer (OTDR), Electromagnetic pulse, Fiber optic sensors, Fibers, Field programmable gate arrays (FPGA), Hardware, Iterative methods, Optical fibers, Reflectometers, Ventilation exhausts, Distributed optical fiber, Distributed optical fiber sensors, Distributed sensor, Hardware architecture, Optical time domain reflectometer, Optical time domain reflectometry, Performance and reliabilities, Vibration sensors, Time domain analysis
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Data- och informationsvetenskap
Identifikatorer
URN: urn:nbn:se:ri:diva-32499DOI: 10.1109/ICNSC.2017.8000121Scopus ID: 2-s2.0-85028506370ISBN: 9781509044283 (tryckt)OAI: oai:DiVA.org:ri-32499DiVA, id: diva2:1155824
Konferens
14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017, 16 May 2017 through 18 May 2017
Tillgänglig från: 2017-11-09 Skapad: 2017-11-09 Senast uppdaterad: 2019-06-27Bibliografiskt granskad

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Franciscangelis, CarolinaMargulis, Walter

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Totalt: 27 träffar
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