Machine learning-based debris flow early warning method

A machine learning-based debris flow early warning method, comprising the following steps:

• S1:
• acquiring a debris flow-induced ground vibration signal, and constructing a patch attention mechanism-based debris flow-induced ground vibration signal identification model;
• S2:
• extracting a temporal feature of the debris flow-induced ground vibration signal through the patch attention mechanism-based debris flow-induced ground vibration signal identification model, and embedding positional encodings at different positions;
• S3:
• calculating an attention weight through a multi-head attention mechanism, and deriving a debris flow-induced ground vibration signal identification result through a fully connected layer;
• and
• S4:
• performing debris flow early warning according to a set alarm threshold based on the debris flow-induced ground vibration signal identification result.