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首页> 外文期刊>Mechatronics, IEEE/ASME Transactions on >Large-Scale Particle Image Velocimetry From an Unmanned Aerial Vehicle
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Large-Scale Particle Image Velocimetry From an Unmanned Aerial Vehicle

机译：无人机的大规模粒子图像测速

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摘要

Large-scale particle image velocimetry (LSPIV) enables nonintrusive and continuous characterization of surface flow velocities in natural watersheds. However, current LSPIV implementations are based on fixed cameras that only allow for surface flow monitoring at a limited number of locations on the water stream. This paper seeks to leverage the growing field of unmanned aerial vehicles to transform LSPIV practice, by enabling rapid characterization of large water flow systems in areas that may be difficult to access by human operators. Toward this aim, a lightweight and low cost quadrotor is developed to host a digital acquisition system for LSPIV. A gimbal is realized in house to maintain the camera lens orthogonal with respect to the water surface, thus preventing image orthorectification. Field experiments demonstrate that the vehicle is able to stably hover above an area of for min with a payload of . The feasibility of quadrotor-based LSPIV is demonstrated through tests in an outdoor laboratory setting and over a natural stream.
机译：大规模粒子图像测速技术（LSPIV）能够对自然流域的地表流速进行非侵入性和连续性表征。但是，当前的LSPIV实现基于固定式摄像机，该摄像机仅允许在水流中有限数量的位置进行表面流量监控。本文旨在通过快速表征可能难以被操作人员进入的区域的大型水流系统，来利用无人驾驶飞机的不断发展的领域来改变LSPIV的实践。为了实现这一目标，开发了一种轻便，低成本的四旋翼飞机，以托管LSPIV的数字采集系统。室内可实现万向节，以使摄像机镜头相对于水面保持正交，从而防止图像正射。野外实验表明，该车辆能够稳定地悬停在最小面积上，载重量为1毫米。基于四旋翼的LSPIV的可行性通过在室外实验室环境和自然流中的测试得到了证明。

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