Seepage early warning method, medium and equipment for sea port based on multi-source information fusion

Abstract

The application aims to provide a seaport wharf leakage early warning method based on multi-source information fusion. On the basis of distributed fiber acoustic sensing, flow and video data are fused. Through cross verification of multi-source data, the defects of traditional single DAS, such as dependence on fixed threshold and susceptibility to complex environment interference, are effectively overcome. Single judgment is upgraded to collaborative analysis, which significantly reduces the false positives and false negatives caused by the complex seaport environment, and improves the reliability and accuracy of the early warning system.

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