dc.contributor.author | Tejedor Noguerales, Javier | |
dc.contributor.author | Macías Guarasa, Javier | |
dc.contributor.author | Fidalgo Martins, Hugo | |
dc.contributor.author | Pastor Graells, Juan | |
dc.contributor.author | Martín López, Sonia | |
dc.contributor.author | Corredera, Pedro | |
dc.contributor.author | De Pauw, G. | |
dc.contributor.author | De Smet, F. | |
dc.contributor.author | Postvoll, W. | |
dc.contributor.author | Ahlen, C.H. | |
dc.contributor.author | González Herráez, Miguel | |
dc.date.accessioned | 2018-05-07T08:29:38Z | |
dc.date.available | 2018-05-07T08:29:38Z | |
dc.date.issued | 2018 | |
dc.identifier.bibliographicCitation | Tejedor, J, Macias-Guarasa, J, Martins, HF, Pastor-Graells, J, Martin-Lopez, S, Guillen, PC, De Pauw, G, De Smet, F, Postvoll, W, Ahlen, CH, Gonzalez-Herraez, M. "Real Field Deployment of a Smart Fiber-Optic Surveillance System for Pipeline Integrity Threat Detection: Architectural Issues and Blind Field Test Results". Journal of Lightwave Technology. 2018, 36 (4), pp. 1052-1062. | en |
dc.identifier.issn | 0733-8724 | |
dc.identifier.uri | http://hdl.handle.net/10017/33080 | |
dc.description.abstract | This paper presents an on-line augmented surveillance
system that aims to real time monitoring of activities
along a pipeline. The system is deployed in a fully realistic
scenario and exposed to real activities carried out in unknown
places at unknown times within a given test time interval (socalled
blind field tests). We describe the system architecture that
includes specific modules to deal with the fact that continuous
on-line monitoring needs to be carried out, while addressing
the need of limiting the false alarms at reasonable rates. To
the best or our knowledge, this is the first published work in
which a pipeline integrity threat detection system is deployed
in a realistic scenario (using a fiber optic along an active gas
pipeline) and is thoroughly and objectively evaluated in realistic
blind conditions. The system integrates two operation modes:
The machine+activity identification mode identifies the machine
that is carrying out a certain activity along the pipeline, and the
threat detection mode directly identifies if the activity along the
pipeline is a threat or not. The blind field tests are carried out
in two different pipeline sections: The first section corresponds
to the case where the sensor is close to the sensed area, while
the second one places the sensed area about 35 km far from
the sensor. Results of the machine+activity identification mode
showed an average machine+activity classification rate of 46:6%.
For the threat detection mode, 8 out of 10 threats were correctly
detected, with only 1 false alarm appearing in a 55:5-hour sensed
period. | en |
dc.description.sponsorship | European Commission | en |
dc.description.sponsorship | Ministerio de Economía y Competitividad | es_ES |
dc.description.sponsorship | Comunidad de Madrid | es_ES |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | IEEE | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International (CC-BY-NC-ND 4.0) | * |
dc.rights | (c) 2018 IEEE | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Distributed fiber sensing | en |
dc.subject | Acoustic sensing | en |
dc.subject | Vibration sensing | en |
dc.subject | Pipeline integrity | en |
dc.subject | phase-sensitive OTDR | en |
dc.subject | Pattern recognition | en |
dc.title | Real Field Deployment of a Smart Fiber Optic Surveillance System for Pipeline Integrity Threat Detection: Architectural Issues and Blind Field Test Results | en |
dc.type | info:eu-repo/semantics/article | en |
dc.subject.eciencia | Electrónica | es_ES |
dc.subject.eciencia | Electronics | en |
dc.contributor.affiliation | Universidad de Alcalá. Departamento de Electrónica | es_ES |
dc.relation.publisherversion | http:dx.doi.org/10.1109/JLT.2017.2780126 | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | en |
dc.identifier.doi | 10.1109/JLT.2017.2780126 | |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/307441/EU/Ubiquitous optical FIbre NErves/U-FINE | en |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/722509/EU/Fibre Nervous Sensing Systems/FINESSE | en |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO/TEC2013-45265-R/ES/DETECCION TEMPRANA DE AMENAZAS PARA INFRAESTRUCTURAS CRITICAS USANDO SISTEMAS DISTRIBUIDOS DE FIBRA OPTICA/ | en |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TEC2015-71127-C2-2-R/ES/REDUCCION DE LOS EFECTOS DE RUIDO EN SISTEMAS DE FIBRA OPTICA NO LINEALES/ | en |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2013-47630-C2-1-R/ES/SUPERVISION DE PATRONES DE COMPORTAMIENTO HUMANO MEDIANTE MULTIPLES SENSORES/ | en |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//BES-2015-075982/ES/BES-2015-075982/ | en |
dc.relation.projectID | info:eu-repo/grantAgreement/Comunidad de Madrid//S2009%2FMIT2790/ES/Sensores e INstrumentación en tecnologías FOTÓNicas/SINFOTON | en |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/608099/EU/Allied Initiative for Training and Education in Coherent Optical Networks/ICONE | en |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | en |