激光雷达探测输电走廊安全风险研究现状

doi:10.13474/j.cnki.11-2246.2024.0109

测绘通报 ›› 2024, Vol. 0 ›› Issue (1): 51-57.doi: 10.13474/j.cnki.11-2246.2024.0109

激光雷达探测输电走廊安全风险研究现状

张睿卓^1,2, 唐杰^1,2, 张思^1,2, 舒黄艳^1,2, 张迪³, 钟若飞^1,2, 孙黎明⁴

1. 首都师范大学资源环境与旅游学院, 北京 100048;
2. 首都师范大学三维信息获取与应用教育部重点实验室, 北京 100048;
3. 中国地图出版社集团有限公司, 北京 100054;
4. 中国水利水电科学研究院, 北京 100038

收稿日期:2023-04-10 修回日期:2023-11-01 出版日期:2024-01-25 发布日期:2024-01-30
通讯作者: 钟若飞。E-mail:zrf@cnu.edu.cn
作者简介:张睿卓(1990—),男,博士,主要从事遥感与GIS应用多源移动测量数据融合感知、输电线路走廊安全评估方面的研究。E-mail:zhangruizhuo@cnu.edu.cn
基金资助:
国家自然科学基金面上项目(42071444);国家自然科学基金(U19A2049)

The progress of risk assessment of power transmission corridor using LiDAR

ZHANG Ruizhuo^1,2, TANG Jie^1,2, ZHANG Si^1,2, SHU Huangyan^1,2, ZHANG Di³, ZHONG Ruofei^1,2, SUN Liming⁴

1. College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China;
2. Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China;
3. Sinomaps Press Co., Ltd., Beijing 100054, China;
4. China Institute of Water Resources and Hydropower Research, Beijing 100038, China

Received:2023-04-10 Revised:2023-11-01 Online:2024-01-25 Published:2024-01-30

摘要/Abstract

摘要： 输电走廊环境监测和风险预警是电网防灾抗灾的重要研究内容。在激光雷达、物联网、无人机及计算机技术的发展与推动下,利用各种新型遥感监测与巡检手段进行输电走廊大范围、智能化巡检成为重要发展趋势。综合多种监测数据的线路安全风险评估与灾害预警,成为智能电网建设工作的研究热点之一。本文系统论述了应用激光雷达技术进行输电走廊安全风险探测的研究现状与发展趋势,分析了激光雷达在输电线路安全风险探测中的优缺点,讨论了激光雷达输电线路巡检和监测数据在输电线路安全风险评估预警中所面对的问题与挑战。

关键词: 激光雷达, 电力巡检, 安全风险, 输电走廊

Abstract: Transmission corridor environmental monitoring and risk early warning is a crucial research topic of power grid disaster prevention and resistance. Under the development and promotion of LiDAR, Internet of Things, UAV and computer technology, it has become an important development trend to utilize various new remote sensing monitoring and inspection means to carry out large-scale and intelligent inspection in transmission corridor. Comprehensively analyzing a variety of different monitoring data for power line safety risk assessment and disaster early warning research has been one of the research hotspots in the construction of smart grid. In this article, the research status and development trend of using LiDAR technology for the safety risk detection in transmission corridor, and their advantages and disadvantages are systematically expounded. And problems and challenges faced by the safety risk assessment of power transmission corridors are summarized.

Key words: LiDAR, power line inspection, safety risk assessment, power transmission corridor

中图分类号:

张睿卓, 唐杰, 张思, 舒黄艳, 张迪, 钟若飞, 孙黎明. 激光雷达探测输电走廊安全风险研究现状[J]. 测绘通报, 2024, 0(1): 51-57.

ZHANG Ruizhuo, TANG Jie, ZHANG Si, SHU Huangyan, ZHANG Di, ZHONG Ruofei, SUN Liming. The progress of risk assessment of power transmission corridor using LiDAR[J]. Bulletin of Surveying and Mapping, 2024, 0(1): 51-57.

参考文献

[1] 秦圣辉,尤飞,王振华,等. 山火诱发500 kV及以上输电线路跳闸事故分析[J]. 消防科学与技术,2017,36(5): 712-716.
[2] 彭向阳,钱金菊,吴功平,等. 架空输电线路机器人全自主巡检系统及示范应用[J]. 高电压技术,2017,43(8): 2582-2591.
[3] 张行,王逸飞,何迪,等. 电网防灾减灾现状分析及建议[J]. 电网技术,2016,40(9): 2838-2844.
[4] MATIKAINEN L,LEHTOMÄKI M,AHOKAS E,et al. Remote sensing methods for power line corridor surveys[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2016,119: 10-31.
[5] JUNG J,CHE Erzhuo,OLSEN M J,et al. Automated and efficient powerline extraction from laser scanning data using a voxel-based subsampling with hierarchical approach[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2020,163: 343-361.
[6] COLOMINA I,MOLINA P. Unmanned aerial systems for photogrammetry and remote sensing: a review[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2014,92: 79-97.
[7] ZHU Lingli,HYYPPÄ J. Fully-automated power line extraction from airborne laser scanning point clouds in forest areas[J]. Remote Sensing,2014,6(11): 11267-11282.
[8] 郭波,黄先锋,张帆,等. 顾及空间上下文关系的JointBoost点云分类及特征降维[J]. 测绘学报,2013,42(5): 715-721.
[9] 黄陆君,陈光平,袁帅,等. 电力巡线LiDAR点云电塔自动定位和提取算法[J]. 测绘通报,2020(4): 53-57.
[10] 杨俊涛,康志忠. 多尺度特征和马尔可夫随机场模型的电力线场景点云分类法[J]. 测绘学报,2018,47(2): 188-197.
[11] 王晨辉. 高压输电线路机载LiDAR点云滤波及特征提取技术研究[D]. 西安: 长安大学,2020.
[12] ORTEGA S,TRUJILLO A,SANTANA J M,et al. Characterization and modeling of power line corridor elements from LiDAR point clouds[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2019,152: 24-33.
[13] 刘正军,梁静,张继贤. 空间域分割的机载LiDAR数据输电线快速提取[J]. 遥感学报,2014,18(1): 61-76.
[14] AWRANGJEB M,ISLAM M K. Classifier-free detection of power line pylons from point clouddata[J]. ISPRS Annals of the Photogrammetry,Remote Sensing and Spatial Information Sciences,2017,IV-4/W4: 81-87.
[15] ZHANG Ruizhuo,YANG Bisheng,XIAO Wen,et al. Automatic extraction of high-voltage power transmission objects from UAV lidar point clouds[J]. Remote Sensing,2019,11(22): 2600.
[16] 杨诗语. 基于点云的杆塔绝缘子分类方法研究[D]. 北京: 华北电力大学,2020.
[17] 付红安,王学平,田帅,等. 基于无人机激光雷达技术的输电线路走廊清理方法[J]. 电测与仪表,2019,56(23): 146-152.
[18] 刘洋. 机载点云电力走廊要素提取及风险计算[D]. 武汉: 武汉大学,2018.
[19] JWA Y,SOHN G. A piecewise catenary curve model growing for 3D power line reconstruction[J]. Photogrammetric Engineering & Remote Sensing,2012,78(12): 1227-1240.
[20] 林先堪,余江顺. 基于点云数据的电力线三维重建技术研究[J]. 机电信息,2021(3): 1-3.
[21] 郑晓光,陈驰,王柯,等. 基于全要素组件模型库的输电线路杆塔三维高效高精度建模[J]. 广东电力,2017,30(6): 94-97.
[22] QIAO Yiya,XI Xiaohuan,NIE Sheng,et al. Power pylon reconstruction from airborne LiDAR data based on component segmentation and model matching[J]. Remote Sensing,2022,14(19): 4905.
[23] ZHOU Ruqin,JIANG Wanshou,HUANG Wei,et al. A heuristic method for power pylon reconstruction from airborne LiDAR data[J]. Remote Sensing,2017,9(11): 1172.
[24] 王少华,蒋兴良,孙才新. 输电线路导线舞动的国内外研究现状[J]. 高电压技术,2005,31(10): 11-14.
[25] SIRANEC M,HÖGER M,OTCENASOVA A. Advanced power line diagnostics using point cloud data—possible applications and limits[J]. Remote Sensing,2021,13(10): 1880.
[26] 麻卫峰,王成,王金亮,等. 点云数据温度变化环境下输电线形态模拟[J]. 电力系统保护与控制,2021,49(9): 90-96.
[27] 罗辉. 架空输电线路走廊树障在线监测关键技术分析[J]. 电力系统装备,2020(4): 56-57.
[28] 梁华,袁蕴良,王云端,等. 利用三维激光扫描技术进行输电铁塔变形监测研究[J]. 测绘通报,2017(7): 156-157.
[29] MANNINEN H,RAMLAL C J,SINGH A,et al. Toward automatic condition assessment of high-voltage transmission infrastructure using deep learning techniques[J]. International Journal of Electrical Power & Energy Systems,2021,128: 106726.
[30] 凌健,佘昌佳,潘灵敏,等. 基于物联网感知的智慧输电线路运检技术[J]. 湖北电力,2021,45(3): 55-59.
[31] 陈锡阳,胡长猛,夏云峰,等. 基于激光雷达技术的输电线路山火预警研究[J]. 电气应用,2015,34(9): 58-61.
[32] 叶立平,陈锡阳,何子兰,等. 山火预警技术在输电线路的应用现状[J]. 电力系统保护与控制,2014,42(6): 145-153.
[33] CLARKE D J,WHITE J G. Towards ecological management of Australian powerline corridor vegetation[J]. Landscape and Urban Planning,2008,86(3/4): 257-266.
[34] AHMAD J,MALIK A S,XIA Likun,et al. Vegetation encroachment monitoring for transmission lines right-of-ways: a survey[J]. Electric Power Systems Research,2013,95: 339-352.
[35] WANIK D W,PARENT J R,ANAGNOSTOU E N,et al. Using vegetation management and LiDAR-derived tree height data to improve outage predictions for electric utilities[J]. Electric Power Systems Research,2017,146: 236-245.
[36] 周志宇. 山火灾害下电网输电线路跳闸风险评估研究[D]. 北京: 华北电力大学,2019.

激光雷达探测输电走廊安全风险研究现状

The progress of risk assessment of power transmission corridor using LiDAR

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	张书航, 李旺民, 庞尹宁, 常兵涛, 马德富, 李秀龙, 张吴明. 基于无人机倾斜摄影和激光扫描的离岸海岛高精度实景三维重建[J]. 测绘通报, 2024, 0(3): 25-30.
[2]	周命端, 覃钰涵, 张文尧, 徐翔, 周庆辉. 塔式起重机垂直度激光雷达无损检测算法[J]. 测绘通报, 2024, 0(2): 90-94.
[3]	刘霜辰, 李升甫, 贾洋. 多源激光点云建模在桥梁养护中的探索[J]. 测绘通报, 2024, 0(2): 157-160,177.
[4]	吴佳桐, 黄龙, 王勇, 罗安. 智能汽车基础地图安全防控相关问题浅析[J]. 测绘通报, 2023, 0(9): 155-159,170.
[5]	张冰洁, 蔡来良, 王鑫, 吴景动. 基于数量场梯度的露天矿点云台阶线自动提取算法[J]. 测绘通报, 2023, 0(7): 63-68.
[6]	张清宇, 崔丽珍, 杜秀铎, 马宝良. 矿山环境三维激光雷达SLAM算法建图与定位[J]. 测绘通报, 2023, 0(5): 72-77.
[7]	石志远, 徐卫明, 孟浩. 全波形激光雷达改进的降噪方法[J]. 测绘通报, 2023, 0(3): 5-9.
[8]	杨红刚. 一种手持式半球形视角激光雷达SLAM三维建图技术[J]. 测绘通报, 2023, 0(2): 139-144.
[9]	吴贞江, 张佳华. 基于激光雷达卫星(GEDI)的广东省森林冠层高度和生物量估算[J]. 测绘通报, 2023, 0(12): 102-105.
[10]	陈恬宇, 孙立双, 车德福. 二维激光雷达的实时三维重建方法[J]. 测绘通报, 2023, 0(10): 67-73.
[11]	刘建兴, 胡全一, 乐美燕, 舒斯红. 直线段检测算法在机载LiDAR建筑物轮廓线提取中的应用[J]. 测绘通报, 2023, 0(10): 145-149.
[12]	黄皓中, 苏鹏浩, 王冉, 王峰, 史韦韦, 赵剑飞. 基于密集匹配点云的DEM生产可行性研究[J]. 测绘通报, 2022, 0(9): 170-174.
[13]	刘玉贤, 阮明浩, 闫臻. 一种基于机载激光点云的门型电塔精确提取方法[J]. 测绘通报, 2022, 0(7): 129-133.
[14]	王道杰, 陈倍, 孙健辉. 机载LiDAR点云密度对DEM精度的影响[J]. 测绘通报, 2022, 0(5): 140-144,169.
[15]	许志华, 逯行政, 彭远航, 杨可明, 王宇敏. 依托航空模拟平台的激光雷达技术课程实践教学装备[J]. 测绘通报, 2022, 0(4): 162-166.