集成电路与嵌入式系统2024，Vol.24Issue(8)：64-71,8.DOI:10.20193/j.ices2097-4191.2024.0014
无人机巡检图像和蒲公英算法的输电线缆绝缘子缺陷自动检测
Unmanned aerial vehicle inspection image and dandelion algorithm for automatic transmission cable insulator defect detection
黄小龙1
作者信息
- 1. 国网冀北电力有限公司,北京 100052
- 折叠
摘要
Abstract
In order to improve the accuracy and speed of missing insulator identification,an automatic insulator defect detection system based on UAV inspection images and Dandelion Algorithm(DA)is designed.UAV detection technology is used to locate and detect missing insulators of power transmission lines.Then,feature extraction is carried out on the automatic identification image of insulators obtained by UAV,and the operation and inspection path of UAV are planned.The feature vector of missing insulators of power lines is calculated.The feature image of missing insulators of power lines is processed by fitting the least square method.Obtain the location of the missing insulator to achieve accurate location of the defect.In this process,a Dandelion Algorithm is introduced to optimize the PID control parameters of UAVs.The seeding behavior and mathematical model of dandelion are described in principle,and the parameters are optimized by this algorithm.The test results show that the accuracy rate of target recognition is up to 98％,indicating that the re-search system is highly practical.关键词
GPS/DA算法/最小二乘法/绝缘子识别/PID控制Key words
GPS/DA algorithm/least squares method/insulator identification/PID control分类
信息技术与安全科学引用本文复制引用
黄小龙..无人机巡检图像和蒲公英算法的输电线缆绝缘子缺陷自动检测[J].集成电路与嵌入式系统,2024,24(8):64-71,8.
