微型电脑应用2025，Vol.41Issue(2)：157-161,5.
基于SSD深度学习模型的变电站万用接地线导通状态检测方法
Conduction State Detection Method of Substation Universal Ground Wire Based on SSD Deep Learning Model
戴鹏 1姬建富 1刘利 1王辉 1曹国梁1
作者信息
- 1. 国网安徽省电力有限公司蒙城县供电公司,安徽,亳州 233500
- 折叠
摘要
Abstract
In order to solve the problem of poor robustness of learning model and large deviation of detection results in conduc-tion state detection of substation universal ground wire,a conduction state detection method of substation universal ground wire based on single shot multibox detector(SSD)deep learning model is designed.According to the detection requirements of sub-station universal ground wire,this paper designs the structure of the ground wire conduction state detection equipment,rede-signs the sampling module and communication module,analyzes the SSD deep learning model structure,uses regional candidate boxes to detect multi-scale feature maps,obtains feature information to achieve image judgment,and determine the ground wire conduction state detection process to complete the conduction state detection of substation universal ground wire.The test re-sults show that the accuracy and recall rate of the test results obtained by the design method can reach over 90％,verifying the reliability of the design method in practical applications.关键词
SSD深度学习模型/万用接地线/状态检测/模型训练Key words
SSD deep learning model/universal ground wire/state detection/model training分类
信息技术与安全科学引用本文复制引用
戴鹏,姬建富,刘利,王辉,曹国梁..基于SSD深度学习模型的变电站万用接地线导通状态检测方法[J].微型电脑应用,2025,41(2):157-161,5.
