Non-contact river surface flow field imaging measuring method

A non-contact, flow field technology, applied in fluid velocity measurement, measurement devices, velocity/acceleration/impact measurement, etc., can solve problems such as large brightness differences, improve accuracy, meet real-time requirements, and reduce system resources Effect

Active Publication Date: 2013-01-09
HOHAI UNIV
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Problems solved by technology

Therefore, in the near-infrared image, there must be a large brightness difference between the water surface background and the water surface tracers such as leaves and small wood chips.

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  • Non-contact river surface flow field imaging measuring method
  • Non-contact river surface flow field imaging measuring method
  • Non-contact river surface flow field imaging measuring method

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Embodiment Construction

[0022] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0023] The workflow of the measuring method of the present invention is as follows: figure 1 shown. The smart camera uses a 1.3 million-pixel monochrome CMOS chip MT9M001 (Aptina) as an image sensor, and a DSP chip TMS320DM642 (TI) for image processing as a processor; the upper computer is a general-purpose PC. According to the process of information acquisition and processing, the workflow can be divided into four steps: image acquisition, image processing, flow field calibration and flow field visualization. Image acquisition and image processing are completed on the smart camera, and only the time-averaged flow field information and the first frame image of the sequence are uploaded for visual display and solution of transformation coefficients in flow field calibration. The transmission of image and flow field data is realized through the network ...

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Abstract

The invention discloses a non-contact river surface flow field imaging measuring method and belongs to the technical field of open channel flow measurement. The method comprises the following steps of: firstly, mounting a near-infrared light filter in front of an image sensor to realize near-infrared imaging, and enhancing the brightness contrast between a flow tracer and the water surface background; secondly, carrying out airspace high-pass filtering on an image, and restraining optical noises of the water surface; thirdly, carrying out motion vector estimation by a fast Fourier cross-correlation algorithm to obtain displacement vectors of each analyzed area; fourthly, reestablishing a time average flow field by a method based on space-time federal filtering; and fifthly, carrying out normal incidence correction on flow rate vectors by a direct linear transformation method to realize the calibration and the visualization of the flow field. The non-contact river surface flow field imaging measuring method can be stably and reliably applied to river surface flow field measuring under complex water surface optical environments.

Description

technical field [0001] The invention relates to an open channel water flow monitoring method, in particular to a non-contact river surface flow field imaging measurement method, which belongs to the technical field of open channel flow measurement. Background technique [0002] Accurate flow velocity, flow field, time series information and high-resolution estimation of total runoff change rate during floods are important basis for the research of river hydrology, river geomorphology and river ecology. However, the water flow during the high flood period often has the characteristics of high sediment content, many impurities, and fast flow velocity, which makes the traditional current measurement instruments unable to measure normally. Large-Scale Particle Image Velocimetry (LSPIV) is a safe and efficient full-field velocity measurement technique. It uses the method of pattern recognition to match and track the water surface tracer in the undistorted continuous video image,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01P5/22
Inventor 张振徐立中陈哲沈洁严锡君王鑫
Owner HOHAI UNIV
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