Power transmission line image recognition method and device based on deep convolutional neural network

The invention relates to a power transmission line image recognition method and device based on a deep convolutional neural network, and the method comprises the steps: firstly carrying out the preprocessing of a power transmission line image, taking the preprocessed power transmission line image as a sample set for model training, carrying out the unified processing of the size of external brokenand forest fire fault sample images, marking a fault type, and generating a marking file set; secondly, training the sample picture set by adopting a deep convolutional neural network method based onfeature map extraction to generate a model file; and finally, deploying an image recognition device based on a deep convolutional neural network model at the front end of the camera to realize quickand accurate recognition of the power transmission line fault. According to the power transmission line image recognition method and device based on the feature map deep convolutional neural network,the timeliness of recognitio