A method for extracting flash point cloud feature on the surface of wind turbine blade based on difference of normal vector

Yangzhi Chen; Lvwen Huang; Wang Liu

doi:10.1117/12.2680412

27 June 2023 A method for extracting flash point cloud feature on the surface of wind turbine blade based on difference of normal vector

Yangzhi Chen, Lvwen Huang, Wang Liu

Author Affiliations +

Proceedings Volume 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022); 127052D (2023) https://doi.org/10.1117/12.2680412
Event: Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 2022, Nanjing, China

Abstract

The surface automatic processing of large wind turbine blades has always been an industry problem. The RGBD camera can be used to scan the blade surface to obtain a 3D point cloud of complex curved surfaces. However, the point cloud contains a lot of invalid information and is unorganized data, which makes it difficult to segment the point cloud of the blade. In this paper, we propose a method based on difference of normal vector to extract the blade flash feature of wind turbine blade. Firstly, the point cloud obtained by the RGBD camera is filtered to obtain a pure wind turbine blade point cloud. Then, the difference of normal vector of the wind turbine blade point cloud is calculated to separate the flash feature from the blade surface. Finally, a pure flash point cloud is segmented by clustering, which provides guidance data for automatic grinding of flash. Through experiments, it is proved that this method can accurately segment the blade flash feature on huge wind turbine blade without a large amount of data for model training. And the separation effect is not affected by the scanning angle, sampling noise, etc. It has strong robustness.

Citation Download Citation

Yangzhi Chen, Lvwen Huang, and Wang Liu "A method for extracting flash point cloud feature on the surface of wind turbine blade based on difference of normal vector", Proc. SPIE 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 127052D (27 June 2023); https://doi.org/10.1117/12.2680412

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
11 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Point clouds

Wind turbine technology

Cameras

Feature extraction

Optical filters

Image segmentation

Data modeling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years