Early detection of pipeline integrity threats using a SmarT Fiber- OPtic surveillance system: The PIT-STOP project

Authors
Fidalgo Martins, HugoUniversity of Alcalá Author; Piote, D.; Tejedor Noguerales, JavierUniversity of Alcalá Author; Macías Guarasa, JavierUniversity of Alcalá Author; Pastor Graells, JuanUniversity of Alcalá Author; [et al.]
Identifiers
Permanent link (URI): http://hdl.handle.net/10017/26528
DOI: 10.1117/12.2192075
ISSN: 0277-786X
ISBN: 978-1-62841-839-2
Publisher
Society of Photo Optical Instrumentation Engineers (SPIE)
Date
2015-09-28
Affiliation
Universidad de Alcalá. Departamento de Electrónica
Funders
European Commission
Ministerio de Economía y Competitividad
Comunidad de Madrid
Universidad de Alcalá
Ministerio de Ciencia e Innovación
Bibliographic citation
H. F. Martins ; D. Piote ; J. Tejedor ; J. Macias-Guarasa ; J. Pastor-Graells, et al. 2015, "Early detection of pipeline integrity threats using a smart fiber optic surveillance system: the PIT-STOP project", Proc. SPIE 9634, 24th International Conference on Optical Fibre Sensors, 96347X (September 28, 2015).
Keywords
Acoustic sensing
Distributed fiber sensing
Intrusion monitoring
Pattern recognition
Phase-sensitive otdr
Pipeline integrity
Vibration sensing
Description / Notes
24th International Conference on Optical Fibre Sensors, Curitiba, Brazil, September 28, 2015.
Project
info:eu-repo/grantAgreement/EC/FP7/307441/EU/Ubiquitous optical FIbre NErves/U-FINE
info:eu-repo/grantAgreement/MINECO//TEC2012-37958-C02-01/ES/TECNOLOGIAS DE SEGURIDAD CIVIL BASADAS EN FIBRA OPTICA/
info:eu-repo/grantAgreement/MICINN//TEC2011-27314/ES/TECNOLOGIAS DE FIBRA OPTICA ASISTIDAS POR EFECTO RAMAN/
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//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/UAH//CCG2014%2FEXP-072
info:eu-repo/grantAgreement/EC/Interreg Sudoe/SOE3%2FP2%2FP714/EU/Gestión ecológica de pilas de residuos de carbón en combustión/ECOAL-MGT
Document type
info:eu-repo/semantics/conferenceObject
Version
info:eu-repo/semantics/acceptedVersion
Publisher's version
http://dx.doi.org/10.1117/12.2192075
Rights
Atribución-NoComercial-SinDerivadas 3.0 España
(c) 2013 Society of Photo Optical Instrumentation Engineers
Access rights
info:eu-repo/semantics/openAccess
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Abstract
The preliminary results of a surveillance system set up for real time monitoring activities along a pipeline and analyzing for possible threats are presented. The system consists of a phi-OTDR based sensor used to monitor vibrations along an optical fiber combined with a pattern recognition system that classifies the recorded signals. The acoustic traces generated by the activities of different machines at various locations along a pipeline were recorded in the field. The signals, corresponding to machinery activities, were clearly distinguished from background noise. A threat classification rate of 68.11% with 55.55% false alarms was obtained.
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