Early warning method and device for geological disaster based on convolutional neural network, and medium

The invention discloses a geological disaster early warning method and device based on a convolutional neural network, and a medium, and relates to the technical field of geological engineering. The method comprises the steps that S1, monitoring data of corresponding evaluation indexes are acquired based on classification of geological disasters, and the monitoring data comprise real-time monitoring data and historical monitoring data; s2, taking the evaluation index of the historical monitoring data of the geological disaster as a training data set of the convolutional neural network model, and inputting the training data set into the convolutional neural network model; s3, training the convolutional neural network model through a machine learning algorithm, and inputting the real-time monitoring data into the trained convolutional neural network model to obtain a prediction result of the geological disaster; and S4, based on a prediction result, response and early warning of geological disasters are made. B