Visual intelligent recognition method for slope displacement based on ai large model

Abstract

The invention relates to a visual intelligent recognition method for slope displacement based on an AI large model, including: acquiring an original image sequence of a slope area through an image acquisition device, preprocessing the original image sequence to obtain a preprocessed image dataset; extracting features from the preprocessed image dataset by using a convolutional neural network to obtain a high-dimensional feature set; inputting the high-dimensional feature set into an AI large model based on the Transformer architecture through a data processing device to obtain deformation amplitude sequences and deformation direction sequences of each area of the slope; constructing a continuous deformation trajectory model according to the deformation amplitude and direction sequences through a model construction device, filling missing points in time gaps by using an interpolation method to obtain a complete trajectory curve; obtaining the slope stability grade according to the slope of the complete trajectory curve. The invention significantly improves the accuracy of slope deformation monitoring and the timeliness of early warning, and provides scientific basis and efficient support for disaster prevention and control.