High-speed videogrammetric technique for displacement measurement of floating offshore wind turbine model

Peng Chen; Jiahao Liu; Qingchao Zhong

doi:10.1117/12.2643248

12 October 2022 High-speed videogrammetric technique for displacement measurement of floating offshore wind turbine model

Peng Chen, Jiahao Liu, Qingchao Zhong

Author Affiliations +

Proceedings Volume 12342, Fourteenth International Conference on Digital Image Processing (ICDIP 2022); 123423K (2022) https://doi.org/10.1117/12.2643248
Event: Fourteenth International Conference on Digital Image Processing (ICDIP 2022), 2022, Wuhan, China

Abstract

The issue of displacement measurement of floating wind turbine model when experiencing wind-wave loads is one important assessment indicator of stability, but conventional contact methods hardly to utilize in environment which are complex and have limited accessibility. Consequently, we develop the high-speed videogrammetry technique for displacement measurement from tremendous image sequences data, which possesses advantages of non-contact, high frame rate, three-dimensional dense measurement when compare to traditional approaches. The first, the motion of model in image sequences are acquired with the accurate target recognition and tracking algorithms. The second, the cameras interior and exterior parameters are determined through camera calibration and bundle adjustment respectively. The third, the target spatial position and displacement in X, Y, and Z directions are finally calculated based on videogrammetry theory. The experiment results demonstrate that the spatial position calculated by proposed approach can reach submillimeter accuracy in three directions when compare to high accuracy total station. In addition, the credibility of displacement results is further proved by the frequency consistence between measured and theoretical.

Citation Download Citation

Peng Chen, Jiahao Liu, and Qingchao Zhong "High-speed videogrammetric technique for displacement measurement of floating offshore wind turbine model", Proc. SPIE 12342, Fourteenth International Conference on Digital Image Processing (ICDIP 2022), 123423K (12 October 2022); https://doi.org/10.1117/12.2643248

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Cameras

Motion models

Control systems

High speed cameras

3D acquisition

Calibration

Imaging systems

Show All Keywords

Keywords/Phrases

Search In:

Publication Years