Method and system for detecting defects of key components of transmission lines

Abstract

The invention discloses a defect detection method and system for key components of a power transmission line. The method includes: constructing a defect semantic set of key components of the transmission line; the key components of the transmission line include power lines and insulators; training a semantic representation extraction model according to the defect semantic set; using the trained semantic representation extraction model to extract semantic representation; An image library of defects in key components of transmission lines; training an image feature extraction model based on the multi-category defect images in the image library; using the trained image feature extraction model to extract image features; based on the semantic representation and the image features, construct an embedding mapping matrix. The invention realizes the detection of the defect of the key components of the transmission line with zero samples through the semantic description information of the historical defect (defect that has been obtained or is easy to obtain samples) samples and the target defect (zero sample defect).

Description

technical field [0001] The invention relates to the technical field of transmission line fault detection, in particular to a method and system for detecting defects of key components of a transmission line. Background technique [0002] Due to the vigorous development of my country's power industry, the layout of transmission lines is complex, and the natural environment is harsh and changeable. Key components of transmission lines such as power lines and insulators have been exposed to the wild for a long time, and are subject to continuous physical tension, lightning flashover, foreign object pollution, material Wear, loss, corrosion and other damage caused by aging and abnormal human influence. The complex transmission line environment and various transmission line faults have made it increasingly urgent to detect intelligent key components of transmission lines. The existing classification methods are data-driven and rely on large-scale training data, and it is impossibl...

AI Technical Summary

Problems solved by technology

In fact, for some target defects that are more destructive or newly discovered, more is the semantic description information of the defect, and there is no or very little defect data available, that is, the sample of the target defect is almost zero (zero sample), which means Limits the application of current data-driven classification methods

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