Electric power device identification model construction method and system, and identification method of electric power device

Abstract

The present invention relates to an electric power device identification model construction method and system, and an identification method of an electric power device. The electric power device identification model construction method comprises: marking electric power device targets in an infrared image respectively corresponding to each type of an electric power device, and obtaining a sample training set; inputting the sample training set into a RPN convolutional neural network to allow a loss function to have a minimum value, and outputting a target candidate frame; inputting the target candidate frame into a Fast-RCNN convolutional neural network, calculating the conversion weight value of the target candidate frame to a corresponding type according to a fully connected layer and a regression function, and employing the frame regression to obtain the Fast-RCNN parameters of the position of the target candidate frame being offset to a corresponding tag position; and setting a sharing convolutional layer learning rage as 0, and performing initialization of the RPN convolutional neural network and the Fast-RCNN convolutional neural network, performing training of an input infrared image in the RPN convolutional neural network according to the Fast-RCNN parameters, and obtaining a RPN convolutional neural network model; and inputting the target candidate frame into the RPN convolutional neural network model, updating the Fast-RCNN convolutional neural network to form a uniform Fast-RCNN network, and outputting an electric power identification model.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and system for constructing an identification model of electric equipment, and an identification method for electric equipment. Background technique [0002] With the wide application of infrared image acquisition technology in the field of power technology, the role of infrared images of power equipment in the maintenance of the normal operation of the corresponding power system has become greater. In the maintenance work of the above-mentioned normal operation of the power system, it is an important task to identify the power equipment involved in the infrared image. At present, the identification of electrical equipment in images collected by infrared thermal imaging is manually identified by naked eyes. Staff identify various types and types of electrical equipment in infrared images based on experience, but the efficiency of manual identification is low, wh...

AI Technical Summary

Problems solved by technology

[0003] Based on this, it is necessary to provide a method and system for building an identification model of electrical equipment and an identification method for el

Images