Power equipment image recognition method and device based on transfer learning and neural network

Abstract

The embodiment of the invention discloses a power equipment image recognition method and device based on transfer learning and a neural network. The method comprises the steps of acquiring a simulation image data set of target power equipment to serve as a first training sample, the simulation image data set comprises simulation images of the target power equipment and corresponding classificationlabels, wherein the number of models of each type of target power equipment is multiple; obtaining an actual image data set of the target power equipment as a second training sample, wherein the actual image data set comprises an actual image of the target power equipment and a corresponding classification label; training a pre-constructed convolutional neural network model by using the first training sample to obtain a first target convolutional neural network model; training the first target convolutional neural network model by using the second training sample to obtain a second target convolutional neural network model; and inputting the image of the to-be-identified power equipment into the second target convolutional neural network model for identification. And the accuracy of powerequipment image identification is improved.

Description

technical field [0001] The embodiments of the present application relate to image processing technology in the field of electric equipment, and in particular, to a method and device for image recognition of electric equipment based on transfer learning and neural network. Background technique [0002] With the development of my country's electric power industry and the advancement of smart grid construction, the front-line production units of the power system are using a variety of monitoring methods, such as UAV image acquisition, video monitoring, infrared thermal imaging and other methods to assist staff to complete the inspection of transmission lines. check. These methods transmit the image information of equipment such as transformers and transmission line towers to inspection personnel to improve their work efficiency and ensure their operation safety. [0003] However, the current monitoring methods only pass these image data to the operation and maintenance personne...

AI Technical Summary

Problems solved by technology

[0005] This application provides a power equipment image recognition method and device based on transfer learning and neural network to solve the problem of inaccurate recognition caused by the inability to guarantee the number and quality of samples in the process of power equipment image recognition in the prior art

Images