2nd China International Youth Conference on Electrical Engineering (CIYCEE 2021)

261 / 2021-11-07 21:34:12

Insulator Detection Model and Result Analysis in Transmission Channel

deep learning,target detection,transmission line,defect detection

With the rapid development of the construction of a new generation of power system in China, as an important part of the power system, it is becoming more and more important to realize the intelligent detection and analysis of transmission lines. Transmission line target detection is mainly divided into two parts: target detection and defect detection. Now, deep learning methods train convolutional neural networks in a data-driven way. Compared with traditional image processing methods, they have the advantages of less influence of super parameters on the results, stronger feature extraction ability and anti-interference ability. This paper mainly introduces the application of deep learning method in transmission channel target detection, so as to accumulate for further research.