低代码可视化AI技术加速船舶焊接工艺智能化

Low-code Visualization AI Technology Accelerating the Intelligentization of Ship Welding Process

  • 摘要: 在焊接质量分析及检测的智能化应用研究创新过程中,需要利用工业机理模型和分析方法进行可视化、低代码化和智能化构建。焊接工艺低代码可视化分析提供了一种基于机理模型的信号分析方法,可以帮助船舶制造行业解决焊接过程中的质量问题。该软件包括U-I相图、特征分析和短路专属分析等分析功能,以船舶发动机焊接为案例进行实证分析,结合U-I相图等由用户自主构建焊缝质量评分体系,将其封装为AI模型实现实时质量评分,验证了该软件对焊接质量分析和评估的有效性,提高了焊接质量评价效率和准确性。

     

    Abstract: The intelligent application research and innovation in welding quality analysis and evaluation requires industrial mechanism models and analytical methods for visualization, low-code development, and intelligent construction. The low-code visualization analysis of the welding process provides a signal analysis method based on mechanism models, which can help the shipbuilding industry solve quality problems during the welding process. This software includes analysis functions such as U-I phase diagrams, feature analysis, and short-circuit-specific analysis. Using ship engine welding as a case study, users can independently build a welding quality rating model according to the U-I phase diagrams and other functions, and achieve real-time output of on-line welding quality rating. This verifies the effectiveness of the software in welding quality analysis and evaluation, which can improve the efficiency and accuracy of the welding quality evaluation.

     

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