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汽车涂装专业数智制造研究与应用

关林君 黄龙武 肖方挺 王煜

机电工程技术2024,Vol.53Issue(8):172-176,190,6.
机电工程技术2024,Vol.53Issue(8):172-176,190,6.DOI:10.3969/j.issn.1009-9492.2024.08.037

汽车涂装专业数智制造研究与应用

Research and Application of Professional Digital Intelligent Manufacturing in Automotive Coating

关林君 1黄龙武 1肖方挺 1王煜1

作者信息

  • 1. 一汽-大众汽车有限公司佛山分公司,广东佛山 528200
  • 折叠

摘要

Abstract

The competition in the automobile market is increasing,and the pressure of optimizing vehicle manufacturing cost and improving marketing efficiency is intensified.In view of this,an agile digital intelligence production organization is built by means of digital intelligence to reduce cost and increase efficiency and enhance product competitiveness.By combing the core business of the coating shop and combining with the intelligent manufacturing slice model abstracted from the division of labor of vehicle manufacturing,the digital intellectualization framework of"one brain,five senses perception"is proposed.At the brain level of management platform,the process quality digital management system is designed and implemented based on high-quality construction,focusing on three aspects:field operation,output evaluation and environmental conditions.Focusing on security and project management,basic business management and maintenance cost control,the equipment digital management system is designed and implemented.On the perception application level,focusing on the visual application,the design and realization of the skid size online detection,the automatic detection of the body plug parts.The practical application results show that the proposed agile digital intelligence production organization scheme can effectively improve the timeliness and accuracy of related business management,agile business information decision-making process,and improve the level of business management in the workshop.

关键词

整车制造/数智化/过程质量/设备管理/感知应用

Key words

vehicle manufacturing/digital intelligence/process quality/device management/perceptual application

分类

机械制造

引用本文复制引用

关林君,黄龙武,肖方挺,王煜..汽车涂装专业数智制造研究与应用[J].机电工程技术,2024,53(8):172-176,190,6.

机电工程技术

1009-9492

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