基于GIS技术的输电线路隐患缺陷识别方法

GIS-based Identification Method of Hidden Danger and Defect of Transmission Line

常规的输电线路隐患缺陷识别方法使用二维AI识别技术训练输电线路隐患缺陷样本数据,易受数据迭代作用影响,导致识别性能较差,因此基于GIS技术设计了一种全新的输电线路隐患缺陷识别方法。利用GIS技术构建了有效的输电线路缺陷可视化识别模型,再利用数字图像处理技术设计了输电线路隐患缺陷智能识别算法,从而完成了输电线路隐患缺陷识别。实验结果表明,设计的输电线路隐患缺陷GIS识别方法的识别AP性能指标较高。

The conventional identification method of hidden dangers and defects of transmission lines adopts two-dimensional AI identification to train the sample data of hidden dangers and defects of transmission lines,which is easily affected by data iteration,resulting in poor identification performance.Therefore,this paper designs a new identification method of hidden dangers and defects of transmission lines based on GIS technology.That is,an effective visualized identification model of transmission line defects is built by using GIS technology,and an intelligent identification algorithm of transmission line hidden defects is designed by employing digital image processing,so as to conduct the identification of transmission line hidden defects.The experimental results show that the designed method has a high AP performance index for hidden defects identification.