红外技术2017，Vol.39Issue(4)：383-386,4.
基于红外图像识别的输电线路故障诊断方法
Transmission Line Fault Diagnosis Method Based on Infrared Image Recognition
王淼 1杜伟 1孙鸿博 1张静2
作者信息
- 1. 国网通用航空有限公司,北京 100005
- 2. 天津航天中为数据系统科技有限公司,天津市智能遥感信息处理技术企业重点实验室,天津 300301
- 折叠
摘要
Abstract
A fault diagnosis method of transmission line based on infrared image recognition is proposed in this paper. Firstly, LSD(Line Segment Detector) is used to extract the conductor and CNN (convolutional neural network) is used to extract insulator in the infrared image, both conductor areas and insulator areas are thought as line component areas. Heating pixels in component areas are obtained according to their temperature and gray value. Heating regions are segmented applying Flood Fill algorithm. Target accounting, skeleton scanning points, effective convex defects and lead wire are extracted to identify the type of the defects. Experiments show the effectiveness of defect points locating and defect types classifying.关键词
红外图像/输电线巡检/导线提取/绝缘子检测/缺陷点定位/特征提取/缺陷识别Key words
infrared image/transmission line inspection/conductor extraction/insulator detection/defect points locating/feature extraction/heat defect classification分类
信息技术与安全科学引用本文复制引用
王淼,杜伟,孙鸿博,张静..基于红外图像识别的输电线路故障诊断方法[J].红外技术,2017,39(4):383-386,4.
