Abstract

Aiming at the conflict between access and storage due to the continuous accumulation of knowledge storage in the field of artificial intelligence in welding, the author uses RDF (Resource Description Framework) to represent the technological knowledge of CO2 gas shielded welding, designs and implements a knowledge base based on Web semantic and stores it in HDFS, which is used to solve the difficulties of mass data storage. By studying the mechanism and characteristics of spatter in CO2 gas shielded welding, aiming at the common measures and means of reducing spatter, the author realizes the inference function based on welding process rules by using Jena framework and optimizes the craft realization, finally integrates the core functions into the Spring framework and adopts the HTML5-based interface design to enable a new welding process expert system across the Internet and mobile platform.