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Title:
WELDING SEAM NEGATIVE DEFECT RECOGNITION METHOD
Document Type and Number:
WIPO Patent Application WO/2020/038389
Kind Code:
A1
Abstract:
A welding seam negative defect recognition method, specifically comprising: acquiring a welding seam negative of a welding seam by means of radiography (S101); acquiring welding seam image texture feature data of the welding seam negative by utilizing an image recognition technique (S102); establishing a recognition model via a machine learning algorithm on the basis of the welding seam image texture feature data and of welding seam negative defect types (S103); acquiring the welding seam image texture feature data of a welding seam negative to be detected (S104); and calculating on the basis of the welding seam image texture feature data of the welding seam negative to be detected and of the recognition model to acquire the defect type of the welding seam negative to be detected (S105). With this, effectively solved is the problem of inaccuracy in the texture precision of welding negative recognition and feature determination, thus greatly increasing the precision of welding negative image edge detection and defect tracking and recognition, and laying a foundation for the development of a welding seam feature recognition technique.

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Inventors:
DONG SHAOHUA (CN)
XIE SHUYI (CN)
SUN XUAN (CN)
ZHANG HEWEI (CN)
ZHANG LAIBIN (CN)
Application Number:
PCT/CN2019/101716
Publication Date:
February 27, 2020
Filing Date:
August 21, 2019
Export Citation:
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Assignee:
UNIV CHINA PETROLEUM BEIJING (CN)
International Classes:
G01N23/18
Foreign References:
CN109115812A2019-01-01
CN108346137A2018-07-31
CN104574418A2015-04-29
CN107014903A2017-08-04
CN101556598A2009-10-14
CN101118225A2008-02-06
KR101439758B12014-09-16
Other References:
YUANXIANG ET AL.: "Defects Recognition Based on Support Vector Machine within Radiographic Testing Weld", COAL MINE MACHINERY, 25 May 2006 (2006-05-25)
Attorney, Agent or Firm:
BEIJING SANYOU INTELLECTUAL PROPERTY AGENCY LTD. (CN)
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