基于数字图像处理的输电线路状态智能识别技术

Intelligent Recognition of Transmission Line Status Based on Digital Image Processing

针对智能电网建设对输电线路状态远程监测的需求,提出了基于数字图像处理和人工神经元网络识别的智能判别方法:综合使用灰度变化、直方图修正、小波包去噪以及边缘提取算法等对线路的远程状态图像进行处理,使线路特征更加突出;通过将图像分割后分别提取线路设备边缘特征分布作为特征量,实现了具有良好适用性的特征提取方法;最后构建了三层BP人工神经元网络对典型的线路状态进行训练识别。针对绝缘子串。

For the requirements of smart grid construction to remote monitoring on transmission lines status, find an intelligent identi- fication method based on digital image processing and artificial neural networks identification ：using gray scale transformation, histogram modification, wavelet packet de-noising, edge detection algorithm and other methods all together to deal with remote images of transmission lines ,and make the characteristics more outstanding; Breaking up the images into some regions, and extracting the dis- tribution of edge features of transmission line components as characteristic values, can extract characteristics, and this method have good adaptability; At last, construct a three-layer BP artificial neural network to training and recognizing on typical transmission line status. The results of status recognition aiming at insulator strings and transmission lines show that, this method has good recognition effect and important promotional value.