Unmanned ship battery safety management early warning method

Abstract

The invention provides an unmanned ship battery safety management early warning method, and relates to the technical field of data processing, and the method comprises the steps: obtaining original battery parameter data in an operation process; performing parameter integration processing on the original battery parameter data; constructing a difference feature sequence according to the stability analysis data; extracting trend offset data according to a set nonlinear feature combination rule; extracting characteristic change indexes in a continuous detection period, and constructing an abnormal period candidate set; the abnormal period candidate set is converted into an abnormal period vector, similarity comparison is carried out on the abnormal period vector and a preset risk evolution template library, and if the similarity exceeds a preset matching threshold value, the abnormal period vector is marked as a high-risk type; performing quantity statistics on the abnormal periods of the high-risk type, and if the quantity reaches a trigger preset abnormal threshold value, generating early warning result data, and outputting a safety risk prompt; according to the invention, autonomy and accuracy of unmanned ship battery safety management early warning are improved.

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