基于无人机定位导航的大型输水渡槽探测技术研究

Huiyuan Li, Dehu Cheng, A. Liu, Kang Jiao, Tiejun Cui, Xinliang Dong, W. Nie, Mingpeng Li
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引用次数: 0

摘要

渡槽作为输水工程中的重要结构,必须定期对其进行检测,及时发现并解决裂缝等潜在缺陷。然而,目前还没有合适的方法来检测渡槽的越江情况。提出了一种用于渡槽下探测的无人机自主导航飞行的可能技术方案。水平定位时,采用基于超宽带的定位技术,保证GPS信号受阻时无人机的定位;在GPS与UWB传感器融合中采用平滑处理,实现两种模式的无缝切换。对于垂直定位,毫米波(MMW)雷达、气压计和加速度计的融合提高了无人机的仰角测量和控制精度,确保了长焦距相机的自动对焦和清晰成像。渡槽下的定位试验表明,无人机在水平方向上的定位精度优于30 cm,在垂直方向上的定位精度优于10 cm。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Detection Technologies Under Large Water Conveyance Aqueduct Based on UAV Positioning Navigation
As an important structure in water transfer projects, aqueduct must be regularly tested to identify promptly and solve any potential defect such as cracks. However, there is no proper means to detect aqueducts crossing rivers. In this paper, a possible technical solution for UAV autonomous navigation flight was proposed for detections under aqueducts. For horizontal positioning, the UWB-based positioning technology was used to ensure the UAV positioning when the GPS signals were blocked; the smooth processing was employed in the sensor fusion between the GPS and UWB for seamless switchover between these two modes. For vertical positioning, the fusion of an millimeter wave (MMW) radar, a barometer, and an accelerometer improved the elevation measurement and control accuracy of the UAV, ensuring the auto focusing and clear imaging of the long-focal-length camera. The positioning tests under the aqueduct revealed that, the UAV had better accuracy than 30 cm in horizontal direction and above 10 cm in vertical direction.
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