Power transmission line insulator defect detection method based on deep learning

Abstract

The application provides a power transmission line insulator defect detection method based on deep learning, the latest target detection algorithm is adopted, and the performance is very high; a channel attention mechanism is introduced, so that the detection accuracy is greatly improved; according to the method, the deep sorting algorithm is fused to realize insulator tracking, the residual neural network is fused and serves as a classification head, classification is performed on the basis of powerful features extracted by the target detection algorithm, and an excellent classification effect is achieved. The end-to-end detection from the continuous frame video to the final result is realized, the simultaneous detection of the multi-insulator target and the multi-insulator sheet state is realized, the accuracy is high, the robustness is good, and the method is suitable for various inspection scenes. The end-to-end detection from the unmanned aerial vehicle inspection video to the final multi-insulator multi-defect detection result is realized, the operation is simple after deployment, and the result is clear.

Description

technical field [0001] This application relates to the technical field of artificial intelligence image target detection and state recognition, and in particular to a method for detecting defects of transmission line insulators based on deep learning. Background technique [0002] As an important part of the power network, the safe and stable operation of transmission lines directly determines the safety and stability of the entire power system. The actual transmission line has a large distance span and is intricate. Affected by the natural geographical environment and climatic conditions, it is exposed to the outside for a long time, and it is very prone to problems such as aging and failure of transmission line equipment. At the same time, the high-altitude erection of transmission lines is vulnerable to internal pressure generated by mechanical loads, which increases the probability of aging and damage of line components, making it difficult to ensure the safe and stable ...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above problems, this application provides a method for detecting defects of transmission line insulators based on deep learning to solve the problem that the prior art can only detect a single defect for a single insulator graph

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