A distributed ptv flow field measurement system in water flow and its measurement method

Abstract

The invention discloses an underwater distributive PTV flow field measurement system and a measurement method thereof. The system comprises a river model, tracer particles, a set of smart cameras, a set of POE switches, a wireless router and a flow field computing system. The tracer particles are evenly distributed in water flows of the river model, the smart cameras are installed above the surfaces of the water flows of the river model, the smart cameras are connected with the POE switches, the POE switches are connected with the wireless router, the wireless router is communicated with a wireless local area network card, and the flow filed computing system is connected with the wireless local area network card. The invention further provides an underwater distributive PTV flow field speed measurement method based on wireless measurement. According to the method, an algorithm is embedded in the smart cameras for processing, the measurement speed is improved, measurement data can be directly output, and the technical problems that in the prior art, the quantity of output image data is large, wireless measurement cannot be achieved, and instantaneous measurement cannot be achieved due to low processing speed are solved.

Description

technical field [0001] The invention relates to a distributed PTV flow field measurement system in water flow and a measurement method thereof, in particular to a distributed image velocity measurement system and a measurement method of a surface flow field in water flow, and belongs to the technical fields of hydraulics and river dynamics. Background technique [0002] Water flow structure is the core content of hydraulics and river dynamics. Model test is an important means to carry out water flow research, and flow velocity measurement technology is the basis for obtaining water flow structure data. Carrying out model test flow field measurement technology research is very important for improving the flow and sediment research. The level is very necessary and urgent, and it can provide advanced technical support for water conservancy project construction, flood control, shipping, water ecological governance and restoration, water pollution prevention and water environment ...

AI Technical Summary

Problems solved by technology

When the number of cameras is large, the image processing time will be relatively long, and it is difficult to ensure that the measurement is the instantaneous flow field. Problems such as complex wiring and long image processing time need to be solved urgently, which has seriously restricted the improvement of the level of water flow research.

[0004] At present, the wired measurement method is used, and the wiring is more complicated, which increases the difficulty of installation. In addition, because the number of channels supported by each computer image acquisition card is limited, when the number of cameras is too large, multiple computers are required, which is inconvenient to operate.

And because there are too many lines, signal interference often occurs, which affects the image quality

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