| 输电线路多旋翼无人机激光雷达点云数据自动分类技术研究及应用 |
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| 作者姓名： | 阮峻 陶雄俊 刘东甲 张晨 |
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| 作者单位： | 1.中国南方电网有限责任公司超高压输电公司昆明局，昆明 650000 |
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| 基金项目： | 中国南方电网有限责任公司超高压输电公司2018年第一批科技项目0002200000035768广东省科学院实施创新驱动发展能力建设专项2017GDASCX-0101，2017GDASCX-0601广东省引进创新创业团队项目2016ZT06D336广东省重大科技专项2017B010117008广州市科技计划项目201604016047，201806010106广州市水务科技项目SW-2018-001 |
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| 摘 要： | 目的] 旨在提高输电线路激光点云数据处理的效率和质量，为输电线路树障检测提供数据保障。 方法] 基于自主研发的激光雷达无人机，提出了一种新的点云自动分类算法；基于该算法，研发了一款树障隐患分析软件，实现了一键式点云自动分类。 结果] 研究表明:点云分类的正确率可达到95%以上，点云自动分类的效率可达60 km/h，且在杆塔与电力线、杆塔与植被相互交叉的复杂区域，也取得了较好的分类效果。 结论] 本方法为树障隐患的分析提供了高效率、高质量、全自动、智能化的数据处理手段，有效地提高了地理空间三维信息数据的获取精度和处理效率。
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| 关 键 词： | 机载激光雷达 无人机 树障隐患分析 点云自动分类 |
| 收稿时间： | 2018-09-13 |
Research and Application of Automatic Classification Technology of LiDAR Point Cloud Data of Multi Rotor UAV for Transmission Line |
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| Affiliation: | 1.China Souther Grid Corp Ultrahigh Voltage Transmission Companies Kunming Bureau, Kunming 650000, China2.Guangzhou Institute of Geography, Guangzhou 510070, China |
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| Abstract: | Introduction] In order to improve the efficiency and quality of laser point cloud data processing and provide data guarantee for tree barrier detection for transmission lines. Method] A new automatic point cloud classification algorithm was proposed based on the self developed laser radar UAV, then a tree barrier analysis software was developed based on the algorithm to realize one-click automatic classification of point cloud. Result] The results show that the accuracy of point cloud classification can reach more than 95%, and the efficiency of point cloud automatic classification can reach 60 km/h, moreover, good classification results are achieved in the complex areas where the towers and power lines, towers and vegetation intersect each other. Conclusion] This method provides a high efficiency, high quality, automatic and intelligent data processing method for the analysis of tree barrier danger, and effectively improves the acquisition accuracy and processing efficiency of geospatial three-dimensional information data. |
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