A Multiple Sensors Platform Method for Power Line Inspection Based on a Large Unmanned Helicopter

被引:35
作者
Xie, Xiaowei [1 ]
Liu, Zhengjun [1 ]
Xu, Caijun [2 ]
Zhang, Yongzhen [1 ]
机构
[1] Chinese Acad Surveying & Mapping, Inst Photogrammetry & Remote Sensing, Beijing 100830, Peoples R China
[2] Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Peoples R China
基金
中国国家自然科学基金;
关键词
unmanned helicopter; power line inspection; automatic target tracking; VIDEO;
D O I
10.3390/s17061222
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Many theoretical and experimental studies have been carried out in order to improve the efficiency and reduce labor for power line inspection, but problems related to stability, efficiency, and comprehensiveness still exist. This paper presents a multiple sensors platform method for overhead power line inspection based on the use of a large unmanned helicopter. Compared with the existing methods, multiple sensors can realize synchronized inspection on all power line components and surrounding objects within one sortie. Flight safety of unmanned helicopter, scheduling of sensors and exact tracking on power line components are very important aspects when using the proposed multiple sensors platform, therefore this paper introduces in detail the planning method for the flight path of the unmanned helicopter and tasks of the sensors before inspecting power lines, and the method used for tracking power lines and insulators automatically during the inspection process. To validate the method, experiments on a transmission line at Qingyuan in Guangdong Province were carried out, the results show that the proposed method is effective for power line inspection.
引用
收藏
页数:17
相关论文
共 27 条
[1]   Risk-based economic assessment of mitigation strategies for power distribution poles subjected to hurricanes [J].
Bjarnadottir, Sigridur ;
Li, Yue ;
Stewart, Mark G. .
STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2014, 10 (06) :740-752
[2]   Inspection Robot Based Mobile Sensing and Power Line Tracking for Smart Grid [J].
Byambasuren, Bat-erdene ;
Kim, Donghan ;
Oyun-Erdene, Mandakh ;
Bold, Chinguun ;
Yura, Jargalbaatar .
SENSORS, 2016, 16 (02)
[3]  
Dai L., 2012, P 3 IEEE PES INN SMA
[4]  
Debenest P., 2010, P 1 INT C APPL ROB P
[5]  
Debenest P., 2008, P IEEE INT C ROB AUT
[6]   A Fire-Risk-Breakdown System for Electrical Power Lines in the North of Brazil [J].
Franca, Gutemberg Borges ;
de Oliveira, Antonio Nascimento ;
Paiva, Celia Maria ;
Peres, Leonardo de Faria ;
da Silva, Michael Bezerra ;
Temponi de Oliveira, Luciana Maria .
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2014, 53 (04) :813-823
[7]   Aerial inspection of overhead power lines using video: estimation of image blurring due to vehicle and camera motion [J].
Jones, DI .
IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING, 2000, 147 (02) :157-166
[8]   A Piecewise Catenary Curve Model Growing for 3D Power Line Reconstruction [J].
Jwa, Yoonseok ;
Sohn, Gunho .
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2012, 78 (12) :1227-1240
[9]   Point-based Classification of Power Line Corridor Scene Using Random Forests [J].
Kim, Heungsik B. ;
Sohn, Gunho .
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2013, 79 (09) :821-833
[10]   Mapping tree genera using discrete LiDAR and geometric tree metrics [J].
Ko, Connie ;
Remmel, Tarmo K. ;
Sohn, Gunho .
BOSQUE, 2012, 33 (03) :313-319