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基于无人机技术的风力发电机叶片自主巡检系统 被引量:7

Autonomous Inspection System for Wind Turbine Blade Based on UAV Technology
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摘要 针对长期运行的风力发电机叶片可能出现的不同程度损伤,基于无人机技术对风力发电机叶片缺陷检测进行研究,提出风力发电机叶片自主巡检系统。介绍了这一自主巡检系统的组成与拓扑关系,对信号传输覆盖问题进行了分析,并对巡检航迹进行了规划。基于无人机技术的风力发电机叶片自主巡检系统可以对叶片边缘开裂、局部脱落、雷击损伤进行检测,效率高,成本低,能够保障风力发电机运行的安全性和可靠性。 In view of the different degrees of damage that may occur to the wind turbine blade in long-term operation, based on the UAV technology, the defect detection of the wind turbine blade was studied, and an autonomous inspection system for the wind turbine blade was proposed.The composition and topological relationship of this autonomous inspection system were introduced, the signal transmission coverage issue was analyzed, and the inspection flight path was planned.The autonomous inspection system for the wind turbine blade based on UAV technology can detect blade edge cracking, partial broke-off, and damage by lightning stroke.It has high efficiency and low cost, and can ensure the safety and reliability of wind turbine operation.
作者 王馥华 顾沈骅 姚凯 陆轶 Wang Fuhua;Gu Shenhua;Yao Kai
出处 《机械制造》 2022年第3期63-65,75,共4页 Machinery
基金 上海市科学技术委员会科研项目(编号:19DZ2291800)。
关键词 无人机 风力发电机 叶片 检测 UAV Wind Generator Blade Detection
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  • 1王振华,黄宵宁,梁焜,李少斌,杨忠.基于四旋翼无人机的输电线路巡检系统研究[J].中国电力,2012,45(10):59-62. 被引量:92
  • 2赵文彬,张艳宁.角点检测技术综述[J].计算机应用研究,2006,23(10):17-19. 被引量:86
  • 3李俊峰.中国风电发展报告2011[M].北京:中国环境科学出版社,2011.
  • 4Szeliski R. Video mosaics for virtual environments[J]. IEEE Computer Graphics and Applications, 1996, 16 (2) : 22-30.
  • 5Peleg S, Rousso B. Mosaicing on adaptive manifolds [J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2000, 22(10): 1144-1154.
  • 6Brown M, Lowe D G. Automatic panoramic image stitching using invariant features[J]. International J. of Computer Vision, 2007, 74(1) : 59-73.
  • 7Emilio Maggio. Video Tracking: Theory and Practice [M]. UK: Queen Mary University of London, 2012: 15-24.
  • 8TSAI J, HANG H. On the design of pattern-based block motion estimation algorithm [J]. IEEE Transactions on Circuits Systems forVideo Technology(S1051-8215), 2010, 20(1): 136-143.
  • 9ARGYRJOU V. Sub-Hexagonal phase correlation for motion estimation [J]. IEEE Transactions on Image Processing (S1057-7149), 2011, 20(1): 110-120.
  • 10Lowe D G. Distinctive image features from scale-invariant keypoints [J]. International Journal of Computer Vision(S0920-5691), 2004, 60(2): 91-110.

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