Towards detection of pipeline integrity threats using a smart fiber optic surveillance system: PIT-STOP project blind field test results

Authors
Tejedor Noguerales, JavierUniversity of Alcalá Author; Macías Guarasa, JavierUniversity of Alcalá Author; Fidalgo Martins, HugoUniversity of Alcalá Author; Piote, D.; Pastor Graells, JuanUniversity of Alcalá Author; [et al.]
Identifiers
Permanent link (URI): http://hdl.handle.net/10017/31121
DOI: 10.1117/12.2263357
ISSN: 0277-786X
ISBN: 978-151061091-0
Publisher
Spie Digital Library
Date
2017
Embargo end date
2018-04-22
Affiliation
Universidad de Alcalá. Departamento de Electrónica
Funders
European Commission
Ministerio de Economía y Competitividad
Comunidad de Madrid
Bibliographic citation
Tejedor, J., Macías-Guarasa, J., Martins, H.F., Piote, D., Pastor Graells, J., Martín-López, S., Corredera, P., De Paw, G., De Smet, F., Postvoll, W., Ahlen, C.H. & González-Herráez, M. 2017, "Towards detection of pipeline integrity threats using a smart fiber optic surveillance system: PIT-STOP project blind field test results", Proceedings of SPIE, vol. 10323, 25th International Conference on Optical Fiber Sensors, no. 103231K.
Keywords
Acoustic sensing
Distributed fiber sensing
Intrusion monitoring
Pattern recognition
Phase-sensitive OTDR
Pipeline Integrity
Vibration sensing
Description / Notes
25th International Conference on Optical Fiber Sensors, 2017, Jeju, Corea del Sur.
Project
info:eu-repo/grantAgreement/EC/FP7/307441/EU/Ubiquitous optical FIbre NErves/U-FINE
info:eu-repo/grantAgreement/EC/H2020/722509/EU/Fibre Nervous Sensing Systems/FINESSE
info:eu-repo/grantAgreement/EC/H2020/WaterJPI-JC-2015-04/EU/Dikes and Debris Flows Monitoring by Novel Optical Fiber Sensors/DOMINO
info:eu-repo/grantAgreement/MINECO/TEC2013-45265-R/ES/DETECCION TEMPRANA DE AMENAZAS PARA INFRAESTRUCTURAS CRITICAS USANDO SISTEMAS DISTRIBUIDOS DE FIBRA OPTICA/
info:eu-repo/grantAgreement/MINECO//TEC2015-71127-C2-2-R/ES/REDUCCION DE LOS EFECTOS DE RUIDO EN SISTEMAS DE FIBRA OPTICA NO LINEALES/
info:eu-repo/grantAgreement/MINECO//TIN2013-47630-C2-1-R/ES/SUPERVISION DE PATRONES DE COMPORTAMIENTO HUMANO MEDIANTE MULTIPLES SENSORES/
info:eu-repo/grantAgreement/Comunidad de Madrid//S2009%2FMIT2790/ES/Sensores e INstrumentación en tecnologías FOTÓNicas/SINFOTON
info:eu-repo/grantAgreement/EC/FP7/608099/EU/Allied Initiative for Training and Education in Coherent Optical Networks/ICONE
Document type
info:eu-repo/semantics/conferenceObject
Version
info:eu-repo/semantics/acceptedVersion
Publisher's version
http://dx.doi.org/10.1117/12.2263357
Rights
Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Access rights
info:eu-repo/semantics/openAccess
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Abstract
This paper presents the first report on on-line and final blind field test results of a pipeline integrity threat surveillance system. The system integrates a machine+activity identification mode, and a threat detection mode. Two different pipeline sections were selected for the blind tests: One close to the sensor position, and the other 35 km away from it. Results of the machine+activity identification mode showed that about 46% of the times the machine, the activity or both were correctly identified. For the threat detection mode, 8 out of 10 threats were correctly detected, with 1 false alarm.
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