This paper describes the use of surface flow image velocimetry (SFIV) to analyse flow velocity fields near grated inlets. This will help to understand the flow-capture process of grated inlets and improve their design. The technique allows approximation of the surface flow velocity field where other techniques can fail. Especially in cases when the flow near the inlet is supercritical, and with small depths, the introduction of other devices to measure velocity fields can dramatically modify the flow pattern around the gauge and lead to unreliable measurements. SFIV provides a non-intrusive way of estimating flow velocities in the area covered by the images. Full-scale experiments were carried out using a high-resolution camera and commercial codes to characterise the flow patterns approaching grated inlets commonly used in Barcelona, Spain. The results from image processing algorithms were used to differentiate frontal and lateral flows reaching the inlets.

中文翻译：

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使用表面流图像测速仪分析接近磨碎入口的流量

本文介绍了使用表面流图像测速仪（SFIV）来分析磨碎入口附近的流速场。这将有助于了解磨碎入口的流量捕获过程并改进其设计。该技术可以近似其他技术可能失败的表面流速场。尤其是在入口附近的流动是超临界且深度较小的情况下，引入其他用于测量速度场的设备会极大地改变仪表周围的流型并导致测量结果不可靠。SFIV提供了一种非侵入性的方式来估计图像覆盖区域中的流速。使用高分辨率相机和商业代码进行了全面实验，以表征接近西班牙巴塞罗那常用的磨碎入口的流型。