风电低空飞行巡检机器人关键技术研究进展与展望

Research Progress and Prospects of Key Technologies for Wind Power Low Altitude Flight Inspection Robots

  • 摘要: 在全球推进清洁能源转型背景下,风电产业迅速扩张。然而,传统人工巡检模式存在效率低、成本高、安全性差等瓶颈。为此,以垂直起降平台为核心的低空巡检机器人应运而生,其融合多模态作业机构,具备强机动性、高灵活性及高效数据采集优势。本文系统梳理结构系统设计与控制技术的研究进展,重点剖析多源传感器融合精度不足、路径规划算法实时性受限等核心技术难题。未来需深度融合人工智能、新型材料及5G 通信技术,突破动态环境感知、自主决策优化等关键技术,推动风电巡检机器人向智能化、集群化方向发展,为新能源产业高质量发展提供技术支撑。

     

    Abstract: Against the backdrop of global promotion of clean energy transformation, the wind power industry is rapidly expanding. As one of the important tools to ensure the reliable operation of wind turbines, low altitude flight inspection robots for wind power have attracted much attention for their technological development. This article introduces the key technological research progress in the fields of control technology and structural design. In addition, this article summarizes the limitations of existing technologies in terms of multi-sensor fusion accuracy and real-time path planning algorithms. In the future, with the development of artificial intelligence, new materials, interdisciplinary integration, and communication technology, the performance and reliability of wind power low altitude flight inspection robots are expected to be further improved, providing stronger support for efficient operation and maintenance of the wind power.

     

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