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首页> 外文期刊>Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis >Using Neural Networks for Determining Velocity Vectors of Air Flow Visualized by Helium Bubbles
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Using Neural Networks for Determining Velocity Vectors of Air Flow Visualized by Helium Bubbles

机译:使用神经网络确定氦气气泡可视化的气流速度矢量

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One of the important characteristics of air flow is the velocity of flow. To determine the speed, in addition to other methods, we also use the helium bubbles seeding visualization method, when bubbles are injected into the air stream so that the air flow is obvious to the eye. If a video of such flow is taken, it is possible to determine velocity vectors in a pair of consecutive frames of this video footage, derived from the change in position of individual bubbles. This article describes a method of monitoring the bubbles in consecutive video frames. During this process, helium bubbles are detected in the first image of the pair, either by a firmly defined procedure, or with the use of a neural network. For detected bubbles, the velocity vectors are determined according to the way in which they move, therefore, according to their location in the following frame. Another neural network then determines the velocity vector at any point of image, which will be implemented in the construction of vector maps for the first image. A vector map is used for comprehensive evaluation of air flow and thus, plays an important role in the development of ventilation and air conditioning systems.
机译:气流的重要特征之一是流速。为了确定速度,除了其他方法之外,我们还使用氦气气泡播种可视化方法,当气泡被注入到气流中时,气流对眼睛是显而易见的。如果拍摄了这种流的视频,则可以确定该视频素材的一对连续帧中的速度矢量,这些速度矢量是根据各个气泡的位置变化得出的。本文介绍了一种监视连续视频帧中气泡的方法。在此过程中,可以通过严格定义的过程或使用神经网络在该对的第一个图像中检测到氦气气泡。对于检测到的气泡,根据速度矢量的移动方式确定速度矢量,因此,根据其在下一帧中的位置确定速度矢量。然后,另一个神经网络确定图像任何点的速度矢量,这将在构建第一张图像的矢量图时实现。矢量地图用于全面评估气流,因此在通风和空调系统的开发中起着重要作用。

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