Fast earthquake recognition method based on DAS and one dimensional QRE-net

Earthquake early warning can provide important information before the occurrence of destructive disasters to reduce the possible loss, and the requirements for earthquake identification time and accuracy are strict. As a new seismic monitoring technology, distributed optical fiber acoustic sensing (DAS) has the advantages of wide coverage and spatially dense detection. DAS can be deployed in earthquake-prone areas, thus saving the time for seismic waves to reach the sensors. In order to reduce the recognition time and improve the accuracy, this paper proposes a fast earthquake recognition method based on DAS and quickly recognition earthquake network (QREnet). After preprocessing the seismic data collected in DAS, QRE-net identifies the seismic signals. The effectiveness of the proposed method is tested on natural seismic data collected by DAS, when DAS detect 1s seismic signals, recognition accuracy reaches 88.74%. It is believed that this method will play an important role in earthquake early warning.