高级检索

沿海复杂山区输电线路无人机全自主精细化巡检关键技术与应用

Key Technologies and Application of Fully Autonomous Fine Inspection of Transmission Lines by UAVs in Complex Coastal Mountainous Areas

  • 摘要: 针对浙江南部沿海地区“七山一水二分田”的复杂地形及台风、盐雾多发的气象特征,传统人工运维存在视觉盲区多、作业风险大、应急响应滞后等难题。文章通过构建高精度激光点云三维模型,实现了基于微地形感知的超视距(BVLOS)自主飞行;应用“分段接力”作业模式,解决了山区长距离线路的续航与通信瓶颈;针对台风灾害,构建了集灾情快速建模、物资精准投放及夜间照明于一体的应急战法。应用结果表明,截至2024年底,该技术体系使辖区适航区巡检覆盖率由原来的65%提升至100%,缺陷识别准确率超过92%,显著提升了沿海电网在极端环境下的运维韧性。

     

    Abstract: In response to the complex terrain characterized by "70% mountains, 10% water, and 20% farmland" in the coastal areas of southern Zhejiang, as well as the frequent occurrence of typhoons and salt fog, traditional manual operation and maintenance face challenges such as extensive visual blind spots, high operational risks, and delayed emergency response. This article addresses these issues by constructing a high-precision 3D laser point cloud model, enabling beyond visual line-of-sight (BVLOS) autonomous flight based on micro-terrain perception. By implementing a "segmented relay" operation mode, it overcomes the limitations of endurance and communication for long-distance power line inspections in mountainous areas. For typhoon disasters, an integrated emergency response strategy has been developed, encompassing rapid disaster assessment modeling, precise material delivery, and nighttime illumination. Application results show that, as of the end of 2024, this technological system has increased the coverage of inspectable areas in the region from 65% to 100%, achieving a defect identification accuracy rate exceeding 92%. This significantly enhances the operational resilience of coastal power grids under extreme environmental conditions.

     

/

返回文章
返回