State-of-the-Art Review on the Application of Unmanned Aerial Vehicles (UAVs) in Power Line Inspections: Current Innovations, Trends, and Future Prospects

被引:2
作者
Mendu, Bongumsa [1 ]
Mbuli, Nhlanhla [2 ]
机构
[1] Natl Transmiss Co South Africa SOC Ltd, Asset Management Dept, Maxwell Dr, ZA-2157 Sandton, South Africa
[2] Univ South Africa, Coll Sci Engn & Technol, Dept Elect & Smart Syst Engn, Florida Campus,28 Pioneer Ave,Florida Pk, ZA-1709 Roodepoort, South Africa
关键词
unmanned aerial vehicles (UAVs); drones; power line inspections; algorithms; detection and fault identification strategies; technologies for autonomous; TECHNOLOGIES; SYSTEMS; MAINTENANCE; DESIGN; ROBOT;
D O I
10.3390/drones9040265
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Unmanned aerial vehicles (UAVs) make power line inspections more safe, efficient, and cost-effective, replacing risky manual checks and expensive helicopter surveys while overcoming challenges like stability and regulations. The aim of this study is to conduct a systematic review of the application of UAVs for power line inspections. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology is implemented to ensure a structured and comprehensive review process. The Scopus database is used to identify relevant publications, and after screening and applying eligibility criteria, 75 documents were selected for further analysis. The study results show a shift toward predictive maintenance, multi-UAV operations, and real-time data analysis. However, challenges remain, including UAV-grid connectivity, resilience to extreme weather, and large-scale automation. This work provides key insights into technological and algorithmic advancements and research trends on UAV-based power line inspections while pointing out gaps in the existing literature. Finally, future research directions to advance UAV-based power line inspections are suggested.
引用
收藏
页数:27
相关论文
共 186 条
[1]  
Aber JS, 2019, SMALL-FORMAT AERIAL PHOTOGRAPHY AND UAS IMAGERY: PRINCIPLES, TECHNIQUES, AND GEOSCIENCE APPLICATIONS, 2ND EDITION, P119, DOI 10.1016/B978-0-12-812942-5.00008-2
[2]  
Abubakar A., 2023, P 2023 20 INT MULT S, P689, DOI [10.1109/SSD58187.2023.10411193, DOI 10.1109/SSD58187.2023.10411193]
[3]  
Aghaei M, 2016, IEEE POW ENER SOC GE
[4]  
Agrawal Kanaiya., 2015, International Journal of Science and Research vol, V4, P1800
[5]   Path Planning of Unmanned Aerial Systems for Visual Inspection of Power Transmission Lines and Towers [J].
Ahmed, M. D. Faiyaz ;
Mohanta, J. C. ;
Sanyal, Alok ;
Yadav, Pankaj Singh .
IETE JOURNAL OF RESEARCH, 2024, 70 (03) :3259-3279
[6]  
Akhmetov Yerbol, 2022, 2022 International Conference on Computing, Networking, Telecommunications & Engineering Sciences Applications (CoNTESA), P36, DOI 10.1109/CoNTESA57046.2022.10011334
[7]  
Albeaino G, 2019, J INF TECHNOL CONSTR, V24, P381
[8]   Visual Navigation based on Deep Semantic Cues for Real-Time Autonomous Power Line Inspection [J].
Alexiou, Dimitrios ;
Zampokas, Georgios ;
Skartados, Evangelos ;
Tsiakas, Kosmas ;
Kostavelis, Ioannis ;
Giakoumis, Dimitrios ;
Gasteratos, Antonios ;
Tzovaras, Dimitrios .
2023 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS, ICUAS, 2023, :1262-1269
[9]   Power transmission line inspection robots: A review, trends and challenges for future research [J].
Alhassan, Ahmad Bala ;
Zhang, Xiaodong ;
Shen, Haiming ;
Xu, Haibo .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2020, 118
[10]  
Alotaibi A., 2023, Shanlax International Journal of Arts, Science and Humanities, V11, P62, DOI [10.34293/sijash.v11i2.6650, DOI 10.34293/SIJASH.V11I2.6650]