摘要
[目的]电力导线具有较长传输距离和所处空间环境复杂的特点,由于无人机激光点云技术可以完整和高效地获取电力导线及其周边空间对象的几何信息,针对现有的监督提取和无监督提取方法对于大范围复杂环境中点云数据提取中出现的缺失情况,针对主网和配网线路点云数据的空间环境特点提出了基于投影线特征以及区域生长算法的点云电力线快速提取方法。[方法]首先针对主网架空线路通常高于周围空间对象的特点,通过高程直方图阈值方法对电力线进行粗提取。考虑到配网区域,植被冠层高于配网线路的特点,对粗提取的电力线点云数据获取其K近邻数据点,并将点云投影在水平面上,通过判断点云的线性度量判断是否为导线点云。[结果]根据导线点云存在缺失的情况,通过区域生长方式获取所有导线点云簇,在此基础上将通过悬链线公式计算每个导线点云簇的悬链线公式,合并拟合距离小于阈值的点云作为同一导线点云。[结论]提出的方法针对电力巡检应用中导线快速提取的问题,克服了导线点云提取过程中的导线点云缺失以及植被影响问题,能够高效、高准确度实现导线点云提取。
[Introduction]Since the power line has the characteristics of long transmission distance and a complex spatial environment,the UAV LiDAR point cloud technology can completely and efficiently obtain the geometric information of the power line and its surrounding spatial objects,and the existing supervised extraction and unsupervised extraction methods are deficient in point cloud data extraction in a large range of complex environments,according to the spatial environment characteristics of the main network and distribution network line point cloud data,a rapid extraction method of point cloud power line is proposed based on projection line characteristics and region growing algorithm.[Method]Firstly,in view of the characteristics that the overhead lines of the main network were usually higher than the surrounding spatial objects,the power lines were roughly extracted by the elevation histogram threshold method.Then,considering the characteristics that the vegetation canopy was higher than the distribution network line in the distribution network area,the KNN data points of the roughly extracted power line point cloud were obtained,and the point cloud was projected on the horizontal plane,and whether the point cloud was a power line point cloud was judged by the linear measurement of the point cloud.[Result]According to the existence of missing power line point clouds,all the power line point cloud clusters are obtained through a region growing mode,and on this basis,the catenary formula of each power line point cloud cluster is calculated through the catenary formula,and the point cloud with a fitting distance less than the threshold is merged as the same power line point cloud.[Conclusion]The proposed method aims at the problem of rapid power line extraction in inspection applications and overcomes the problem of power line point cloud missing and vegetation impact in the process of power line extraction,so this method can achieve power line point cloud extraction with high efficiency and accuracy.
作者
李行义
吴蔚
赵智尧
LI Xingyi;WU Wei;ZHAO Zhiyao(China Energy Engineering Group Guangdong Electric Power Design Institute Co.,Ltd.,Guangzhou 510663,Guangdong,China;Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611765,Sichuan,China)
出处
《南方能源建设》
2023年第6期138-145,共8页
Southern Energy Construction
基金
广东省省级科技项目“面向电网巡检的高精度多旋翼航测无人机关键技术研发及应用”(2017B010117008)
广东电网有限责任公司规划项目“电网工程全生命周期研究”(031000QQ00210002)
中国能建广东院科技项目“基于地理信息数据的三维多细节层次语义模型构建”(EV10031W)
中国能建广东院科技项目“电网工程全生命周期数字孪生仿真模型研究”(ER10551W)。
关键词
电网巡检
无人机激光点云数
区域生长
悬链线
电力导线提取
power grid inspection
UVA LiDAR point cloud data
regional growth
catenary
power line extraction
