Abstract: Provided are a method and apparatus for automatically generating a welding procedure specification (WPS) by using a machine learning algorithm. The method, performed by a processor of a WPS generating apparatus, of automatically generating a WPS by using a machine learning algorithm, includes collecting a WPS transmission request signal together with welding-related information including a welding material for a welding target and a thickness of the welding material, generating a WPS corresponding to the welding-related information by using a machine learning model pre-trained to generate the WPS by using the welding-related information, and transmitting a WPS response signal together with the generated WPS, in response to the WPS transmission request signal, wherein the machine learning model is a model trained through supervised learning using training data in which the welding-related information is an input and the WPS corresponding to the welding-related information is a label.

Abstract: Provided are a method and apparatus for automatically generating a welding procedure specification (WPS) by using a machine learning algorithm. The method, performed by a processor of a WPS generating apparatus, of automatically generating a WPS by using a machine learning algorithm, includes collecting a WPS transmission request signal together with welding-related information including a welding material for a welding target and a thickness of the welding material, generating a WPS corresponding to the welding-related information by using a machine learning model pre-trained to generate the WPS by using the welding-related information, and transmitting a WPS response signal together with the generated WPS, in response to the WPS transmission request signal, wherein the machine learning model is a model trained through supervised learning using training data in which the welding-related information is an input and the WPS corresponding to the welding-related information is a label.