Power distribution station room anomaly detection method and device based on deep learning algorithm

The invention discloses a power distribution station room anomaly detection method and device based on a deep learning algorithm, and the method comprises the steps: obtaining an image in a power distribution station room, and carrying out the preprocessing of the image, and the preprocessing comprises the image zooming and image repairing; inputting the preprocessed image into a trained abnormal target detection model based on a deep learning algorithm; and determining an abnormal detection result of the power distribution station house according to the output of the abnormal target detection model. The abnormal target detection model comprises an input layer, a backbone network with a CA attention mechanism, a neck network and an output layer; the backbone network is formed by combining a series of convolutional layers, and the CA attention mechanism is used for fusing position information; and the neck network adopts a structure of a feature map pyramid network FPN + a pixel aggregation network PAN, and th