输电线路导线覆冰图像处理与识别技术

Image Processing and Recognition Technology for Transmission Line Icing

导线覆冰厚度识别是输电线路覆冰在线监测的关键技术之一,准确可靠的输电线路导线覆冰状态监测系统能够有效地指导输电线路导线除冰工作。根据远程图像直观和图像数据可靠的特点,基于数字视频图像处理技术的输电线路覆冰厚度识别和计算方法,将图像通过灰度化、二值化、形态学预处理及Radon变换直线检测等步骤识别导线轮廓,通过导线覆冰前后图像像素点比较计算导线覆冰厚度,并将结果与其他计算模型得到的覆冰厚度进行了比较和验证。最后提出了优化、完善导线覆冰识别的改进方向。

Accurate and reliable identification of ice thickness on a conductor is one of the key technologies of transmission line icing on-line monitoring,by which the conductor de-icing work can be guided effectively.According to the intuitionistic and reliable characteristics of remote imaging and its data,and based on digital video image processing technology of ice thickness identification and calculation,the layout boundary of the conductor can be identified in terms of graying processing,binearization,morphological pre-proeessing and Radon transform based linear detection.Meanwhile,the thickness of ice can be calculated with the differences of the image pixels before and after conductor icing.Comparing with the existing method,the proposed method shows the promised improvement of ice thickness calculation.Finally,the direction of the further optimization of transmission line icing recognition techniques was proposed.