Power transmission line robot fault positioning method and system based on machine vision

Abstract

The invention discloses a power transmission line robot fault positioning method and system based on machine vision, and relates to the technical field of electric vehicle charging. Performing active illumination enhancement and multiband texture analysis; focal length dynamic adjustment and super-resolution enhancement confirmation; interference modeling and neural network interference elimination; performing multi-modal feature fusion and crack fault probability judgment; and positioning the position of the confirmed real crack, and outputting a crack coordinate, a confirmation probability and original image information. According to the invention, by fusing multi-modal visual perception, microscopic zooming, image enhancement, environmental interference modeling and probability determination mechanisms, high-precision identification and intelligent fault determination of the power transmission line conductor crack are realized, and the method has the advantages of high identification accuracy, strong anti-interference capability, high positioning precision, high automation degree and the like; and the intelligence and reliability level of power transmission line inspection are obviously improved.

Images