红外技术2023，Vol.45Issue(12)：1337-1345,9.
基于多尺度模板匹配的配电线路劣化绝缘子红外热像检测
Infrared Thermal Image Detection of Faulty Insulators in Distribution Lines Based on Multi-scale Template Matching
童志鹏 1邱志斌 1吴睿雯 1周志彪 1范鹏 2沈厚明2
作者信息
- 1. 南昌大学 能源与电气工程系,江西 南昌 330031
- 2. 国网电力科学研究院武汉南瑞有限责任公司,湖北 武汉 430074
- 折叠
摘要
Abstract
Porcelain insulators are widely used in power distribution lines,but they are susceptible to deg-radation during operation owing to long-term electromechanical stress and harsh outdoor environments.Infrared thermal imaging is an important live insulator degradation detection method.It has the advantages of convenient detection,safety,high efficiency,and non-contact operation.It has become an important method in power inspection.However,the thermal image characteristics of faulty insulators are not evi-dent and cannot be recognized directly by the naked eye.Therefore,in this study,we first conduct a temperature field simulation analysis of porcelain insulators in distribution lines and then propose an in-frared thermal image detection method for faulty insulators.A multi-scale template matching algorithm is used to locate and identify the insulators.The coordinate parameters of the insulator in the infrared image are obtained,the insulator is segmented and extracted by multi-scale template matching,and the tempera-ture of the insulator is extracted by least-square linear fitting.Combined with the relevant standards and simulation analysis results,the differences in the temperature states among multiple insulators were com-pared using a similar comparison judgment method to detect faulty insulators.关键词
劣化绝缘子/红外热像法/图像处理/图像匹配/温度提取Key words
faulty insulator/infrared thermography/image processing/image matching/temperature ex-traction分类
信息技术与安全科学引用本文复制引用
童志鹏,邱志斌,吴睿雯,周志彪,范鹏,沈厚明..基于多尺度模板匹配的配电线路劣化绝缘子红外热像检测[J].红外技术,2023,45(12):1337-1345,9.
