无人机系统与激光雷达在配电网植被管理中的应用综述

M. Walker, G. Dahle
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引用次数: 1

摘要

标准化的树木风险评估协议有利于公用植被管理(UVM),因为它们提供了对树木失败可能性、影响可能性和总体风险的最一致的定性评估。然而,由于可达性和时间等限制,公用事业林务员并不经常检查路权外的植被,这使得许多路权外的树木得不到监测或监测有限。本文综述了基于无人机系统(UAS)的激光雷达系统应用的关键研究,特别是在配电系统的UVM方面。我们回顾了基于无人机的激光雷达数据采集和数据处理方面的科学文献。结合基于无人机的激光雷达将使公用事业林务人员能够更好地管理行内和行外树木,从而更好地识别树木风险,从而减少停电,提高配电线路的弹性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Literature Review of Unmanned Aerial Systems and LIDAR with Application to Distribution Utility Vegetation Management
Standardized tree risk assessment protocols are beneficial to utility vegetation management (UVM) in that they provide the most consistent qualitative assessment of a tree’s likelihood of failure, likelihood of impact, and overall risk. Yet, utility foresters do not often inspect off-right-of-way (ROW) vegetation due to constraints such as accessibility and time, which leaves many off-ROW trees unmonitored or with limited monitoring. This review focuses on the key studies addressing the application of unmanned aerial systems (UAS)-based LIDAR systems, especially in terms of UVM along electrical distribution systems. We reviewed the scientific literature in terms of the acquisition of UAS-based LIDAR data and the processing of the data. The incorporation of UAS-based LIDAR will allow utility foresters to better manage both on- and off-ROW trees to better identify tree risks and thus reduce outages and increase resiliency of distribution power lines.
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