Yue Yang
ABSTRACT
Distributed optic-fiber sensing technology based on coherent Rayleigh scattering can use optical fiber cable laying along with pipeline as vibration sensor, to give early-warning of the third-party threaten and even damage on oil and gas pipeline. First, an adaptive filtering is performed on the time-domain signals collected by all sensing units to make the preliminary judgment. Then, an advanced signal process method composed by convolutional neural network is proposed to extract the event areas and judge event categories. Field trial experiment results show that the system can effectively detect digging event with the recognition accuracy up to 97%.
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Index Terms
- Signal Analysis of Distributed Optic-Fiber Sensing Used for Oil and Gas Pipeline Monitoring
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