Power transmission line key device defect identification method based on unmanned aerial vehicle inspection

Abstract

The invention relates to the field of unmanned aerial vehicle inspection, and discloses a power transmission line key device defect identification method based on unmanned aerial vehicle inspection, which comprises the steps of collecting corresponding defect samples and non-defect samples for key devices of a power transmission line to form a sample data set for intelligent defect detection of the power transmission line; increasing the number of defect samples in the sample data set through a data enhancement algorithm; training defect detection models of various key devices by adopting a deep convolutional neural network; deploying to a back-end server; acquiring a real-time video of the unmanned aerial vehicle, acquiring a key frame image from the real-time video, performing compressedencoding on the key frame image, transmitting the key frame image to a back-end server, and calling the defect detection model of the key device of the power transmission line by the back-end serverto perform defect detection to obtain defects of the key device of the power transmission line. According to the invention, state monitoring of key devices of the power transmission line is realized,and defects of the power transmission line are identified and early warned, so that safety conditions of the key devices of the power transmission line are stably detected and safe operation of the line is guaranteed.

Description

technical field [0001] The invention relates to the field of unmanned aerial vehicle inspection, in particular to a method for identifying defects of key components of transmission lines based on unmanned aerial vehicle inspection. Background technique [0002] The power industry is a pillar industry related to the national economy and the people's livelihood, and the safe and stable operation of the power system has great strategic significance. The construction of the power Internet of Things is the core task of implementing the strategic goal of "three types, two networks, and world-class". The advancement of science and technology has made people have new requirements for the safe and stable operation of the power system. The continuous strengthening of the power system not only brings convenience to people's life and work, but also brings more complex power safety and stability issues. At present, the status monitoring of the key components of the transmission line is ...

AI Technical Summary

Problems solved by technology

The advancement of science and technology has made people have new requirements for the safe and stable operation of the power system. The continuous strengthening of the power system not only brings convenience to people's life and work, but also brings more complex power safety and stability issues.

At present, the status monitoring of the key components of the transmission line is basically carried out manually. Since the manual monitoring is not carried out all the time, it may happen that when the key components of the transmission line are defective, the manual fails to find the fault in time, resulting in failure. Stable detection of the safety status of power implementation cannot guarantee the safe operation of the line

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