Pile foundation integrity classification and recognition method based on convolutional neural network

The invention discloses a pile foundation integrity classification and recognition method based on a convolutional neural network. The method comprises the steps: detecting a pile foundation through low-strain collection equipment, and attaching class labels to the pile foundation to construct a standby data set; scaling and normalization preprocessing are carried out on the images in the data set; performing data expansion on the preprocessed data set; dividing into a training set and a test set according to a preset proportion; inputting the training set into the constructed model for classification training, and optimizing related parameters until a globally optimal solution is obtained to obtain a required convolutional neural network model; and inputting the test set into the convolutional neural network model for verification, outputting an recognition result and performing evaluation. According to the invention, the feature extraction capability of the convolutional neural network is utilized to identi