现代科学仪器2024，Vol.41Issue(4)：5-10,6.
基于图像识别的输电线路设备缺陷识别系统设计
Design of transmission line equipment defect identification system based on image recognition
万宇宏 1凌怡珍 2胡苏凯 2熊志武 2祝道 1林永常1
作者信息
- 1. 广东电网有限责任公司清远供电局,广东清远 511500
- 2. 广东电网有限责任公司,广东广州 510000
- 折叠
摘要
Abstract
Due to the fact that most of the transmission lines are located in mountainous areas,the defects of transmission line equipment cannot be identified in time due to the limitations of environment,climate and other conditions.In order to ensure the normal operation of transmission lines and prevent accidents,an application system design scheme of transmission line equipment defect recognition based on image recognition is proposed.Judge the surrounding conditions of the line by calling the image recognition program,compress and send the image data to the background server,and set the storage logic to classify and archive the images.The image is directly input into the convolutional neural network,and the feature map is generated using the activation function to obtain the vector expression abstract image and optimize the loss function.Analyze the projection points of transmission line point cloud data distribution,extract image initial value matching,eliminate outliers,and realize line equipment defect recognition.The experimental results show that the designed system can accurately identify the defect location of transmission line equipment,with small error,and can ensure the safe operation of transmission lines.关键词
图像识别/设备缺陷识别/点云数据/输电线路设备/缺陷特征提取Key words
Image recognition/Equipment defect identification/Point cloud data/Transmission line equipment/Defect feature extraction分类
信息技术与安全科学引用本文复制引用
万宇宏,凌怡珍,胡苏凯,熊志武,祝道,林永常..基于图像识别的输电线路设备缺陷识别系统设计[J].现代科学仪器,2024,41(4):5-10,6.
