UAV-lidar aids automatic intelligent powerline inspection
文献类型：期刊论文
| 作者 | Guan, Hongcan6; Sun, Xiliang6; Su, Yanjun6; Hu, Tianyu6; Wang, Haitao3; Wang, Heping1; Peng, Chigang2; Guo, Qinghua5
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| 刊名 | INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
 |
| 出版日期 | 2021 |
| 卷号 | 130 |
| 关键词 | Powerline inspection Intelligent Unmanned aerial vehicle Deep learning Lidar |
| ISSN号 | 0142-0615 |
| DOI | 10.1016/j.ijepes.2021.106987 |
| 文献子类 | Article |
| 英文摘要 | In recent decades, a substantial increase in electricity demand has put pressure on powerline systems to ensure an uninterrupted power supply. In order to prevent power failures, timely and thorough powerline inspections are needed to detect possible anomalies in advance. In the past few years, the emerging unmanned aerial vehicle (UAV)-mounted sensors (e.g. light detection and ranging/lidar, optical cameras, infrared cameras, and ultraviolet cameras) have provided rich data sources for comprehensive and accurate powerline inspections. A challenge that still hinders the use of UAVs in powerline inspection is that their operation is highly dependent on the pilot?s experience, which may pose risks to the safety of the powerline system and reduce inspection efficiency. An intelligent automatic inspection solution could overcome the limitations of current UAV-based inspection solutions. The main objective of this paper is to provide a contemporary look at the current state-of-the-art UAVbased inspections as well as to discuss a potential lidar-supported intelligent powerline inspection concept. Overall, standardized protocols for lidar-supported intelligent powerline inspections include four data analysis steps, i.e., point cloud classification, key point extraction, route generation, and fault detection. To demonstrate the feasibility of the proposed concept, we implemented a workflow using a dataset of 3536 powerline spans, showing that the inspection of a single powerline span could be completed in 10 min with only one or two technicians. This demonstrates that lidar-supported intelligent inspection can be used to inspect a powerline system with extremely high efficiency and low costs. |
| 学科主题 | Engineering, Electrical & Electronic |
| 出版地 | OXFORD |
| 电子版国际标准刊号 | 1879-3517 |
| WOS关键词 | LINE INSPECTION ; EXTRACTION ; VEGETATION ; AIRBORNE ; CLASSIFICATION ; PHOTOGRAMMETRY ; URBANIZATION ; MANAGEMENT ; PLATFORM ; VEHICLE |
| WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
| 语种 | 英语 |
| WOS记录号 | WOS:000647654800016 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | National Natural Science Foundation of China [31971575] ; Beijing Municipal Science and Technology Project [Z191100007419004] |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/26633]  |
| 专题 | 植被与环境变化国家重点实验室 |
| 作者单位 | 1.Virginia Tech, Ctr Geospatial Informat Technol, Blacksburg, VA 24061 USA 2.State Grid Gen Aviat Co Ltd, Beijing 100031, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Peking Univ, Coll Urban & Environm Sci, Inst Ecol, Beijing 100871, Peoples R China 5.UAV Cruise Ctr Guangdong Power Grid, Guangzhou 510160, Peoples R China 6.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China |
| 推荐引用方式 GB/T 7714 | Guan, Hongcan,Sun, Xiliang,Su, Yanjun,et al. UAV-lidar aids automatic intelligent powerline inspection[J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS,2021,130. |
| APA | Guan, Hongcan.,Sun, Xiliang.,Su, Yanjun.,Hu, Tianyu.,Wang, Haitao.,...&Guo, Qinghua.(2021).UAV-lidar aids automatic intelligent powerline inspection.INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS,130. |
| MLA | Guan, Hongcan,et al."UAV-lidar aids automatic intelligent powerline inspection".INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 130(2021). |
入库方式： OAI收割
来源：植物研究所
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