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基于实时数据采存分析的数字孪生车间研究及实现

王子烨 邱枫 刘治红 徐曼菲 席静

兵工自动化2023,Vol.42Issue(12):34-37,4.
兵工自动化2023,Vol.42Issue(12):34-37,4.DOI:10.7690/bgzdh.2023.12.008

基于实时数据采存分析的数字孪生车间研究及实现

Research and Implementation of Digital Twin Workshop Based on Real-time Data Acquisition and Storage Analysis

王子烨 1邱枫 1刘治红 1徐曼菲 1席静2

作者信息

  • 1. 中国兵器装备集团自动化研究所有限公司智能制造事业部,四川 绵阳 621000
  • 2. 陆装驻北京地区第一军代室,北京 100072
  • 折叠

摘要

Abstract

In order to solve the problems of traditional manufacturing enterprises,such as the lack of digital capability construction and the lack of effective underlying software support for the monitoring and scientific management of workshop operation status,the research and implementation of digital twin workshop based on real-time data acquisition and storage analysis are carried out.Establish the digital model of the key elements of the production workshop,such as human,machine,material,method and environment;realize the process management and control of the whole life cycle of production and manufacturing through the establishment of production plan management module and production execution management module;realize the acquisition,storage,analysis and monitoring of real-time data in the manufacturing site through the establishment of data acquisition and monitoring system;Establish quality management and analysis through the binding of quality data and products.The results show that the research and implementation process of digital twin workshop completes the collection,integration and monitoring of workshop production and manufacturing data,and realizes the digital transformation and intelligent promotion of manufacturing workshop.

关键词

数字孪生/数字化转型/建模/实时采集/质量分析

Key words

digital twin/digital transformation/modeling/real-time acquisition/quality analysis

分类

信息技术与安全科学

引用本文复制引用

王子烨,邱枫,刘治红,徐曼菲,席静..基于实时数据采存分析的数字孪生车间研究及实现[J].兵工自动化,2023,42(12):34-37,4.

基金项目

国防基础科研项目(JCKY2020209B001) (JCKY2020209B001)

兵工自动化

OA北大核心CSTPCD

1006-1576

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