Earthquake Early Warning through Terrestrial Optical Networks: A Bi-GRU Attention Model Approach on SOP Data.

Optical Fiber Communications Conference and Exhibition(2024)

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摘要
We propose a smart grid fiber sensing approach based on a Bi-GRU model with an attention mechanism for earthquake early warnings exploiting terrestrial optical networks. Model training and testing use realistic synthetic earthquake waves.
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关键词
Early Warning,Optical Networks,Earthquake Early Warning,Attention Mechanism,Smart Grid,Seismic Waves,Optical Fiber,Output Layer,F1 Score,Epicenter,Deep Learning Models,Validation Dataset,Recurrent Neural Network,Input Sequence,Application Programming Interface,Polarization State,Surface Waves,Peak Ground Velocity,Attention Layer,Wavelength Division Multiplexing,Seismic Stations,Context Vector
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