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.


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    Title :

    ALEXNET-BASED INSULATOR SELF-EXPLOSION RECOGNITION METHOD


    Contributors:
    LI YINGGUO (author) / CHEN JUNJI (author) / ZHOU JIE (author) / YIN SHUCAI (author) / YANG HONG (author) / MAO XINRU (author) / HE TAO (author) / CHEN JIANXIN (author) / HUANG LIANG (author) / JIANG QINZHI (author)

    Publication date :

    2021-06-17


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    B64C AEROPLANES , Flugzeuge / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V




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