摘要
针对输电线路外界影响因素过多,导致防振锤缺陷检测精准度较差且效率偏低的问题,提出了一种基于图像表达及像素点坐标的防振锤缺陷智能识别技术。利用非线性映射描述防振锤的细节及轮廓,预估防振锤因受力形变引起的阻尼力、刚度、质量与位移等参数变化情况。利用变换矩阵建立识别坐标系,计算防振锤各轴上关键点的旋转角及动态位姿,与待识别节点中参数表达不一致的节点即为缺陷部位。实验结果表明,所提技术在复杂背景形态下也能实现精准的缺陷识别,且噪声及失真现象的处理效果也较优,具有良好的鲁棒性及适用性。
To solve the problem of poor accuracy and low efficiency of vibration damper defect detection due to too many external influencing factors of transmission lines,an intelligent recognition technology based on image representation and pixel coordinates for damper defects was proposed.The details and contour of damper were described by nonlinear mapping,and the change of damping force,stiffness,mass and displacement caused by stress deformation of vibration damper was estimated.The transformation matrix was used to establish the identification coordinate system,and to calculate the rotation angle and dynamic position of key points on each axis of vibration damper.The calculated node inconsistent with the parameter expression of the identified node was confirmed as the defect part.The experimental results show that the as-proposed technology can also achieve accurate defect recognition in complex background sceneries,and the processing effect of noise and distortion is also better,indicating its good robustness and applicability.
作者
郑怿
刘敏
王红旭
张飞飞
张一辰
ZHENG Yi;LIU Min;WANG Hongxu;ZHANG Feifei;ZHANG Yichen(Department of Computer Science,North China Electric Power University,Baoding 071051,Hebei,China;Training Center,State Grid Jibei Electric Power Co.,Ltd.,Beijing 100053,China;Maintenance Center,State Grid Jibei Electric Power Co.,Ltd.,Beijing 100053,China;Department of R&D,Nanjing Saturn Information Technology Co.,Ltd.,Nanjing 210004,Jiangsu,China)
出处
《沈阳工业大学学报》
CAS
2024年第6期807-812,共6页
Journal of Shenyang University of Technology
基金
国家自然科学基金项目(51777027)
国家电网冀北公司科技项目(7101031900TD)。
关键词
防振锤缺陷
非线性映射
腐蚀关系
膨胀关系
阻尼力
图像表达
输电线路
无人机巡检
vibration damper defect
nonlinear mapping
corrosion relation
expansion relation
damping force
image representation
transmission line
UAV patrol inspection
