Flow slow-down in rivers and artificial canals is a basic aspect to be monitored and kept strictly under control. Flow slow-downs can become a major concern in the event of extreme phenomena. The paper illustrates an advanced image processing method that uses particle tracking velocimetry in conjunction with a monadic approach to better characterize water flow in the presence of waste or debris that block normal water flow within a river. An high-speed camera installed beneath a bridge takes periodic images of the water flow. The measured water level and the images taken by the camera are sent to a central system in real-time. Results demonstrate the capability of the proposed method to accurately detect the presence of debris from the measured water flow.

河流和人工运河的减流是一个基本的监测和控制的方面。如果出现极端现象，流量减慢可能会成为主要问题。该论文展示了一种先进的图像处理方法，该方法结合使用粒子跟踪测速法和一元方法来更好地表征存在阻碍河流内正常水流的废物或碎片的水流。安装在桥下的高速摄像机定期拍摄水流图像。测量的水位和相机拍摄的图像实时发送到中央系统。结果证明了所提出的方法能够准确地从测量的水流中检测碎片的存在。