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Quantitatively Measuring In situ Flows using a Self-Contained Underwater Velocimetry Apparatus SCUVA
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Free-Surface Velocity Measurement Using Direct Sensor Orientation-Based STIV.

Zhen Zhang1, Lijun Zhao1, Boyuan Liu1

  • 1College of Computer and Information Engineering, Hohai University, Nanjing 211100, China.

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|July 27, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for measuring water surface velocity without ground control points, enhancing in situ flow characterization. The technique combines space-time image velocimetry with direct sensor orientation photogrammetry for accurate, non-intrusive measurements.

Keywords:
GCPs-freePIVSTIVdirect sensor orientationvelocity measurement

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Area of Science:

  • Fluid dynamics
  • Photogrammetry
  • Environmental monitoring

Background:

  • Particle image velocimetry (PIV) is crucial for flow characterization but faces challenges in calibrating in situ free-surface measurements.
  • Ground control points (GCPs) are difficult to deploy for accurate velocity calibration in field conditions.

Purpose of the Study:

  • To develop a Ground Control Point (GCP)-free method for in situ free-surface velocity measurement using photogrammetry.
  • To enhance the accuracy and applicability of space-time image velocimetry (STIV) for shallow flow analysis.

Main Methods:

  • Combined space-time image velocimetry (STIV) with direct sensor orientation (DSO) photogrammetry.
  • Utilized a laser distance meter (LDM) for camera positioning and orientation, incorporating lens distortion and oblique shooting angles into the measurement model.
  • Calibrated camera intrinsic parameters and LDM relative position using a planar chessboard.

Main Results:

  • The designed device enables GCPs-free surface velocity measurement under oblique shooting angles.
  • The direct sensor orientation-space-time image velocimetry (DSO-STIV) demonstrated good transferability and operability for in situ measurements.
  • The method proved superior to traditional instruments for shallow free-surface flows due to its non-intrusive, whole-field, high-resolution nature.

Conclusions:

  • The developed DSO-STIV system offers an effective, non-intrusive solution for characterizing shallow free-surface flows.
  • The combined uncertainty analysis provides a valuable framework for error assessment in free-surface velocity measurements.
  • This technique improves the ability to characterize complex flows in laboratory and field environments.