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Survey on artificial intelligence (AI) applied in welding: A future scenario of the influence of AI on technological, economic, educational and social changes

机译:焊接中的人工智能(AI)调查:人工智能对技术,经济,教育和社会变革的影响的未来场景

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The application of artificial intelligence (AI) in the field of welding is an increasingly important area of research and a large number of journal publications on the topic have been published. A keyword search for AI in welding in the leading scientific journal databases Elsevier and Springer reveals more than 3,000 related articles. The large publication volume shows the importance being attributed to AI in welding and the breadth of the contributions of researchers utilizing AI approaches to tackle challenges and problems in welding. Such challenges include poorly controlled welding parameters and weld geometry, which lead to weld quality problems. This paper reviews previous studies on AI systems utilized in welding process control and welding robot control. Case studies on the utilization and development of AI systems in the Finnish welding industry are also presented. Analyses of the findings provide the means to predict future scenarios for a 5–10 year time frame on the impact of AI in the welding industry in the era of Industry 4.0. The changes that AI bring will drive a need for new technological, economic and social policies as well as reform of educational curricula and skills training in the sphere of sustainability and quality of life. Consideration of trends and scenarios is important for both academia and industry, where new research ideas and developmental trends on AI systems will emerge for practical implementation.
机译:人工智能(AI)在焊接领域的应用是一个日益重要的研究领域,并且已经出版了有关该主题的大量期刊出版物。在领先的科学期刊数据库Elsevier和Springer中,通过关键字搜索焊接中的AI可以发现3,000多篇相关文章。大量的出版物显示了AI在焊接中的重要性以及研究人员利用AI方法应对焊接中的挑战和问题的广泛贡献。这些挑战包括焊接参数和焊接几何形状控制不当,这会导致焊接质量问题。本文回顾了以前在焊接过程控制和焊接机器人控制中使用的AI系统的研究。还介绍了在芬兰焊接行业中利用和开发AI系统的案例研究。对结果的分析为预测工业4.0时代AI对焊接行业的影响提供了5-10年时间框架的未来方案的预测方法。人工智能带来的变化将推动对新技术,经济和社会政策的需求,以及对可持续性和生活质量领域的教育课程和技能培训的改革。对趋势和场景的考虑对于学术界和工业界都非常重要,在这些领域,将会出现关于AI系统的新研究思想和发展趋势,以便实际实施。

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