Abstract: The present disclosure provides an AlexNet-based insulator self-explosion detection method using an unmanned aerial vehicle (UAV), including: acquiring image and video information collected by a robot patrolling and spanning an obstacle on a wire and the UAV; performing rapid data augmentation on the acquired image and video information based on an existing training data set, to divide the data set into two parts, which are respectively a training set and a test set; extracting an image feature and a class tag from the training data set and the test data set for classification; and training, by using the obtained training set and test set, a support vector machine (SVM) detection model that can recognize insulator self-explosion and that is obtained based on AlexNet. The detection model can recognize the acquired image and video information, to determine whether there is a self-exploded insulator based on the image and video information.

Abstract: A method for charging an electric vehicle is provided. The method includes that a mobile charging apparatus transmits its own status information to a centralized battery distribution station; the centralized battery distribution station determines, according to the received status information, whether power of a battery of the mobile charging apparatus is less than a first threshold; if the power of the battery of the mobile charging apparatus is less than the first threshold, the battery of the mobile charging apparatus is processed so that the power of the battery of the mobile charging apparatus is greater than a second threshold, wherein the second threshold is greater than the first threshold; and if the power of the battery of the mobile charging apparatus is not less than the first threshold, the mobile charging apparatus charges the electric vehicle.