基于无人机的风机叶片自主巡检系统设计与实现

Design and Implementation of an Autonomous Wind Turbine Blade Inspection System Based on Unmanned Aerial Vehicles

摘要

针对传统风机叶片巡检效率低、风险高的问题，介绍了一套基于无人机的自主巡检系统，主要分析了由飞行平台、载荷系统、航线规划与数据分析平台组成的系统架构，重点阐述了从三维航线规划、自主数据采集、AI图像分析到三维重建与报告生成的完整工作流程。研究表明，该集成系统能显著提升巡检安全性与效率，实现叶片状态的精准评估与预防性维护，为风电场智能化运维提供了有效技术支撑。

Abstract

Aiming at the problems of low efficiency and high risks in traditional wind turbine blade inspection, this paper introduces an autonomous inspection system based on unmanned aerial vehicles (UAVs). It primarily analyzes the system architecture composed of the flight platform, payload system, route planning module, and data analysis platform. The paper elaborates on the complete workflow, which encompasses 3D route planning, autonomous data acquisition, AI-based image analysis, 3D reconstruction, and report generation. The research demonstrates that this integrated system can significantly enhance inspection safety and efficiency, enable precise assessment and preventive maintenance of blade conditions, thus providing effective technical support for the intelligent operation and maintenance of wind farms.

关键词

无人机 / 叶片巡检 / 风电运维

Key words

UAV / blade inspection / wind power operation and maintenance

参考文献

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