Applying adaptive LS-PIV with dynamically adjusting detection region approach on the surface velocity measurement of river flow

An image based surface velocity measurement of river flow that applies the adaptive large-scale particle Image velocimetry (LS-PIV) with dynamically adjusting detection region (DADR) approach is presented in this research. The image based measurement is a safe and efficient method. However, the flow...

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Bibliographic Details
Published in:Computers & electrical engineering 2019-03, Vol.74, p.466-482
Main Authors: Yeh, Ming-Tsung, Chung, Yi-Nung, Huang, Yu-Xian, Lai, Chien-Wen, Juang, Deng-Jyi
Format: Article
Language:English
Subjects:
Adaptable interrogation area
Algorithms
Dynamically adjusting detection region
Flow velocity
Image detection
Interrogation
Large-scale particle Image velocimetry
Particle image velocimetry
River flow
Signal to noise ratio
Stream flow
Velocity measurement
Weather
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Summary:An image based surface velocity measurement of river flow that applies the adaptive large-scale particle Image velocimetry (LS-PIV) with dynamically adjusting detection region (DADR) approach is presented in this research. The image based measurement is a safe and efficient method. However, the flow conditions, weather or environment changes caused this type of measurement was hard to adapt each situation. In this paper, the DADR method was proposed to determine the better detection region whenever the flow condition changed. The proposed adaptable interrogation area (IA) size determining algorithm was applied to automatically correct the IA size and overcome the lower signal to noise rate (SNR) and higher errors produced by the conventional measurement with the fixed IA under varied environments. Based on the experimental results, our proposed approaches are accurate, robust and adaptable enough to overcome multiple flow and weather conditions presented in this paper.
ISSN:0045-7906
1879-0755
DOI:10.1016/j.compeleceng.2017.12.013