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

Autores
Tejedor Noguerales, JavierAutor Universidad de Alcalá; Macías Guarasa, JavierAutor Universidad de Alcalá; Fidalgo Martins, HugoAutor Universidad de Alcalá; Piote, D.; Pastor Graells, JuanAutor Universidad de Alcalá; [et al.]
Identificadores
Enlace permanente (URI): http://hdl.handle.net/10017/31121
DOI: 10.1117/12.2263357
ISSN: 0277-786X
ISBN: 978-151061091-0
Editor
Spie Digital Library
Fecha de publicación
2017
Fecha fin de embargo
2018-04-22
Filiación
Universidad de Alcalá. Departamento de Electrónica
Patrocinadores
European Commission
Ministerio de Economía y Competitividad
Comunidad de Madrid
Cita bibliográfica
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.
Palabras clave
Acoustic sensing
Distributed fiber sensing
Intrusion monitoring
Pattern recognition
Phase-sensitive OTDR
Pipeline Integrity
Vibration sensing
Descripción
25th International Conference on Optical Fiber Sensors, 2017, Jeju, Corea del Sur.
Proyectos
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
Tipo de documento
info:eu-repo/semantics/conferenceObject
Versión
info:eu-repo/semantics/acceptedVersion
Versión del editor
http://dx.doi.org/10.1117/12.2263357
Derechos
Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Derechos de acceso
info:eu-repo/semantics/openAccess
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Resumen
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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