摘要
在实际激光电力巡检数据处理过程中,点云分类错误不可避免,部分分类错误往往需借助误检测的危险点来进行定位。然而危险点检测往往是以线路为单位,同时涉及上百档线路的数据运算,数据量级大,运算速度慢,严重影响点云类别修正效率。针对上述问题,将点云按塔段进行分割,将危险点检测的计算单元由单条线路转换为单个塔段,同时记录塔段内点云类别的修改情况,在修正分类错误重复计算危险点的过程中,仅重新计算修改了类别的塔段。实际应用证明,该方法能有效提高激光电力巡检数据处理效率。
In the process of actual laser power inspection data processing,point cloud classification errors are inevitable,and some classification errors often need to be located by the dangerous points of false detection.However,the dangerous point detection is often based on the line,and involves hundreds of lines′data operations.The data magnitude is large and the operation speed is slow,which seriously affects the efficiency of point cloud category correction.To solve the above problems,the point cloud is divided by tower segment,and the calculation unit for dangerous point detection is converted from a single line to a single tower segment.At the same time,the modification of the point cloud category in the tower segment is recorded.In the process of correcting the classification error and repeatedly calculating the dangerous points,only the tower segment with the modified category is recalculated.The practical application shows that the method can effectively improve the data processing efficiency of laser power inspection.
作者
余照东
YU Zhaodong(Transmission Operation and Maintenance Branch of Guizhou Power Grid Co.,Ltd.,Guiyang 550002,China)
出处
《电工技术》
2022年第23期90-92,共3页
Electric Engineering
关键词
激光电力巡检
点云分类
点云分档
危险点检测
laser power patrol inspection
point cloud classification
dangerous point detection
