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Title:
LEARNING MODEL GENERATION METHOD, LEARNING MODEL, AND PROGRAM FOR WELDING INFORMATION, AND WELDING SYSTEM
Document Type and Number:
WIPO Patent Application WO/2021/220698
Kind Code:
A1
Abstract:
This learning model generation method is for generating a learning model for learning by taking, as teaching data, image data from a visual sensor and welding information extracted from the image data, wherein: a plurality of welding conditions to be used for generating the learning model correspond to the difference in setting pertaining to at least one item; the image data corresponding to each of the plurality of welding conditions includes at least one of a molten pool, a welding wire, and an arc; the welding information includes at least one of information pertaining to the behavior of the molten pool, information pertaining to the position of the welding wire, and information pertaining to the arc; and the learning model which receives the image data as an input and outputs the welding information is generated.

Inventors:
FURUKAWA NAOHIDE
ISHIZAKI KEITO
KOIKE TAKESHI
KIMURA YUJI
OKAMOTO AKIRA
OZAKI KEITA
Application Number:
PCT/JP2021/013400
Publication Date:
November 04, 2021
Filing Date:
March 29, 2021
Export Citation:
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Assignee:
KOBE STEEL LTD (JP)
International Classes:
B23K9/095; G06N20/00
Domestic Patent References:
WO2020039948A12020-02-27
Foreign References:
JP2018192524A2018-12-06
JP2007181871A2007-07-19
JP2017030014A2017-02-09
JP2020080006A2020-05-28
Other References:
See also references of EP 4063056A4
Attorney, Agent or Firm:
EIKOH PATENT FIRM, P.C. (JP)
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