J. Tejedor, J. Macias-Guarasa, H. Martins, D. Piote, J. Pastor-Graells, S. Martin-Lopez, P. Corredera, G. De Pauw, F. De Smet, W. Postvoll, C. H. Ahlen, M. Gonzalez-Herraez
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.
H. Martins, D. Piote, J. Tejedor, J. Macias-Guarasa, J. Pastor-Graells, S. Martin-Lopez, P. Corredera, F. De Smet, W. Postvoll, C. H. Ahlen, M. Gonzalez-Herraez
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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