Identification Method of Power Grid Components and Defects Based on Improved EfficientDet
Song Liye1, Liu Shuai1, Wang Kai2, Yang Jindan1
1. College of Electrical and Control Engineering Liaoning Technical University Huludao 125000 China; 2. Huludao Power Supply Company of State Grid Liaoning Electric Power Company Limited Huludao 125000 China
Abstract：An improved EfficientDet target detection algorithm was proposed to deal with the problem that the existing UAV electric power inspection target detection algorithm could easily produce low accuracy of small target, the detected components and defect types are relatively single, and could not satisfy with the detection speed and accuracy simultaneously. The algorithm was applied for data mining of power inspection images to detect insulators, dampers, grading-ring, shielding-ring and bird-house on the high voltage transmission lines and locate the corresponding defects at the same time. Firstly, this paper uses Imgaug data enhancement library to enhance the data of the existing 1 468 standardized UAV inspection datasets in the State Grid. Then, to improve the small target detection ability of the bidirectional feature pyramid networks and efficiency of the backbone network EfficientNet, a feature layer with a smaller scale was integrated weighted, the backdown residual module was improved and coordinate attention mechanism was introduced. Finally, a comparative training experiment is carried out, and the improved EfficientDet has the accuracy reaching up to 90.2% on the test set, which is 8.6% higher than the original EfficientDet and other advanced target detection algorithm. Meanwhile, the frame rate per second of component inspection and defect location reaches 23.4 and 17.2 respectively. It is proved that this method can meet the requirements of accuracy and efficiency in power inspection.
宋立业, 刘帅, 王凯, 杨金丹. 基于改进EfficientDet的电网元件及缺陷识别方法[J]. 电工技术学报, 2022, 37(9): 2241-2251.
Song Liye, Liu Shuai, Wang Kai, Yang Jindan. Identification Method of Power Grid Components and Defects Based on Improved EfficientDet. Transactions of China Electrotechnical Society, 2022, 37(9): 2241-2251.
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