摘要
为了解人工智能技术在焊接装备及工艺控制中的研究和应用现状,梳理了人工智能技术在焊接装备及工艺控制中的主要发展历程和方向,从专家系统、神经网络和模糊控制3个方面,分析了人工智能在焊接装备及工艺控制中的技术现状,探讨了人工智能在焊接领域的技术体系与发展趋势。研究现状表明:人工智能技术在焊接领域的应用促进了焊接机器人、焊缝追踪、焊接质量控制与预测、焊缝质量检测等技术的快速发展,极大改善了焊接作业环境、焊接质量稳定性和生产效率,并衍生了众多研究方向。伴随人工智能技术的进步,焊接装备及工艺控制朝着更高水平发展。
In order to understand the research and application status of artificial intelligence technology in welding equipment and process control,the main development history and direction of artificial intelligence technology in welding equipment and process control were combed,the technical status of artificial intelligence technology in welding equipment and process control was analyzed from three aspects of expert system,neural network and fuzzy control,and the technical system and development trend of artificial intelligence technology in welding field were discussed.The research status shows that the application of artificial intelligence technology in the field of welding has promoted the rapid development of welding robots,weld tracking,welding quality control and prediction,weld quality detection and other technologies,greatly improved the welding environment,welding quality stability and production efficiency,and derived many research directions.With the progress of artificial intelligence technology,welding equipment and process control are developing to a higher level.
作者
高振坤
丁韦
李力
王守明
GAO Zhenkun;DING Wei;LI Li;WANG Shouming(Metals and Chemistry Research Institute,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China;School of Mechanical,Electronic and Control Engineering,Beijing Jiaotong University,Beijing 100044,China;Railway Technology Training Institute,China Academy of Railway Sciences,Beijing 100081,China)
出处
《高速铁路新材料》
2023年第2期8-12,共5页
Advanced Materials of High Speed Railway
基金
中国国家铁路集团有限公司科技研究开发计划(J2022G009)。
关键词
人工智能
焊接
神经网络
模糊控制
专家系统
artificial intelligence
welding
neural network
fuzzy control
expert system
