电焊机2026，Vol.56Issue(5)：125-130,6.DOI:10.7512/j.issn.1001-2303.2026.05.15
基于工业大数据的车身激光焊接过程分析系统
The Analysis System of Body-in-white Laser Welding Process based on Industrial Big Data
宋宏伟 1钟鸣1
作者信息
- 1. 北京奔驰汽车有限公司,北京 100176
- 折叠
摘要
Abstract
Due to the need for lightweight design and high production efficiency,the application of laser welding in automo-tive body structures is diverse and extensive.However,this complexity presents challenges in extracting welding quality fea-tures and controlling the process at high production rates.The factors influencing laser welding are numerous,and the analy-sis process is complicated,which can lead to incorrect process adjustments.When laser welding quality issues occur,they can easily result in mass production defects.This study establishes a multi-information fusion laser welding process analysis system based on industrial big data,which can extract welding quality feature information in real-time and identify welding processes that require attention or adjustment.Through a fully neural network deep learning model,the system automatically analyzes problems in the welding process and provides potential solutions.The application of this system provides a reliable and efficient digital tool for large-scale laser welding process control,and it can continuously learn to improve the accuracy of problem-solving,thereby offering guidance for the development of additional functionalities in the future.关键词
激光焊接/工业大数据/分析系统/焊接质量Key words
laser welding/industrial big data/analysis system/welding quality分类
矿业与冶金引用本文复制引用
宋宏伟,钟鸣..基于工业大数据的车身激光焊接过程分析系统[J].电焊机,2026,56(5):125-130,6.
