基于数字孪生的车间生产数据感知方法设计及实现*

doi:10.16731/j.cnki.1671-3133.2024.07.007

现代制造工程 ›› 2024, Vol. 526 ›› Issue (7): 49-60.doi: 10.16731/j.cnki.1671-3133.2024.07.007

基于数字孪生的车间生产数据感知方法设计及实现^*

陈旺^1,2, 马强¹, 刘治红²

1 西南科技大学信息工程学院,绵阳 621000;
2 中国兵器装备集团自动化研究所有限公司,绵阳 621000

收稿日期:2023-08-07 出版日期:2024-07-18 发布日期:2024-07-30
通讯作者: 马强,博士,副教授,主要研究方向为智能数据处理。E-mail:maqiang_my@163.com
作者简介:陈旺,硕士研究生,主要研究方向为数字孪生车间技术。E-mail:2385724020@qq.com刘治红,硕士,研究员,主要研究方向为数字化制造技术。
基金资助:
*国防基础科研计划重点项目(JCKY2020209B005);国家自然科学基金项目(62071170)

Design and implementation of workshop production data perception method based on digital twin

CHEN Wang^1,2, MA Qiang¹, LIU Zhihong²

1 School of Information Engineering,Southwest University of Science and Technology, Mianyang 621000,China;
2 Automation Research Institute Co.,Ltd., China South Industries Group Corporation, Mianyang 621000,China

Received:2023-08-07 Online:2024-07-18 Published:2024-07-30

摘要/Abstract

摘要： 针对传统车间在进行数字孪生时,对于生产数据的采集存在着目标单一、信息模型灵活性差以及通用性低等问题,提出了一种面向数字孪生的车间生产数据感知方法。首先,通过分析数字孪生车间生产数据采集与应用需求,提出了一种多层次的生产数据采集体系架构;其次,围绕该体系架构的处理层,针对基于OPC统一架构(OPC Unified Architecture,OPC UA)的生产资源数字化表征模型构建关键技术进行了重点阐述;最后,基于车间应用实例,结合关键技术以及体系架构开发了数字孪生系统,验证了该方法的可行性,有效支撑了装配车间数字孪生系统的运行。

关键词: 数字孪生车间, 数字化表征模型, 生产数据采集, OPC 统一架构

Abstract: Aiming at the problems of single target,poor flexibility of information model and low universality in the collection of production data in traditional workshops during digital twin,a workshop production data collection method for digital twin is proposed.Firstly,by analyzing the production data acquisition and application requirements of digital twin workshop,a multi-level production data acquisition architecture is proposed. Secondly,focusing on the processing layer of the architecture,the key technologies of the construction of the digital representation model of production resources based on OPC Unified Architecture (OPC UA) are elaborated. Finally,based on the workshop application example,combined with the key technology and architecture,the digital twin system is developed,which verifies the feasibility of the acquisition method and effectively supports the operation of the digital twin system in the assembly workshop.

Key words: digital twin workshop, digital representation model, production data acquisition, OPC UA

中图分类号:

TP391.9

陈旺, 马强, 刘治红. 基于数字孪生的车间生产数据感知方法设计及实现^*[J]. 现代制造工程, 2024, 526(7): 49-60.

CHEN Wang, MA Qiang, LIU Zhihong. Design and implementation of workshop production data perception method based on digital twin[J]. Modern Manufacturing Engineering, 2024, 526(7): 49-60.

参考文献

[1] ZHAO T,TANG J Q,CHEN X.A data acquisition system in intelligent environmental monitoring device for industrial field[J].IOP Conference Series:Earth and Environmental Science,2018,170(3):32-45.
[2] 李浩,王昊琪,刘根,等.工业数字孪生系统的概念、系统结构与运行模式[J].计算机集成制造系统,2021,27(12):3373-3390.
[3] 陶飞,张辰源,戚庆林,等.数字孪生成熟度模型[J].计算机集成制造系统,2022,28(5):1267-1281.
[4] 庄存波,刘检华,熊辉,等.产品数字孪生体的内涵、体系结构及其发展趋势[J].计算机集成制造系统,2017,23(4):753-768.
[5] 陶飞,刘蔚然,张萌,等.数字孪生五维模型及十大领域应用[J].计算机集成制造系统,2019,25(1):1-18.
[6] 陶飞,张萌,程江峰,等.数字孪生车间——一种未来车间运行新模式[J].计算机集成制造系统,2017,23(1):1-9.
[7] DING G Z,GUO S Y,WU X H.Dynamic scheduling optimization of production workshops based on digital twin[J].Applied Sciences-Basel,2022,12(20):10451.
[8] WANG Y J,LENG J Y,LIU X Q,et al.A method for dynamic insertion order scheduling in flexible job shops based on digital twins[J].Applied Sciences-Basel,2022,23(12):12430.
[9] 段明皞,张南,耿华,等.基于数字孪生的装配车间实时监控系统开发[J].制造业自动化,2021,43(12):110-112.
[10] AUSTIN W.Digital technology transforms auto assembly lines[J].Assembly,2022,65(12):21.
[11] KONG T X,HU T L,ZHOU T T,et al.Data construction method for the applications of workshop digital twin system[J].Journal of Manufacturing Systems,2020,58:323-328.
[12] GUO Y,SUN Y,WU K.Research and development of monitoring system and data monitoring system and data acquisition of CNC machine tool in intelligent manufacturing[J].International Journal of Advanced Robotic Systems,2020,17(2):1-12.
[13] HAN Y,HU Y,WANG Y,et al.Research and application of information model of a lithium ion battery intelligent manufacturing workshop based on OPC UA[J].Batteries,2020,6(4):52.
[14] UDO W,MUHAMMAD Y.Data-driven predictive maintenance of wind turbine based on SCADA data[J].IEEE Access,2021,9:162370-162388.
[15] LUAN L,HU D.Simulation of multisensor energy data fusion transformer acquisition system based on FPGA[J].International Transactions on Electrical Energy Systems,2022,2022:1-8.
[16] 荣雪,黄友锐,储怡然,等.基于OPC UA的煤矿安全生产监控系统信息模型[J].工矿自动化,2022,48(3):112-117.
[17] LIU C,VENGAVIL H,LU Y Q,et al.A cyber-physical machine tools platform using OPC UA and MTConnect[J].Journal of Manufacturing Systems,2019,51:61-74.
[18] CAVALIERI S,GAMBADORO S.Proposal of mapping digital twins definition language to open platform communications unified architecture[J].Sensors,2023,23(4):2349.
[19] 王闯,冯雅倩,周光辉,等.面向多视图的数字孪生制造单元数据集成与服务方法[J/OL].计算机集成制造系统:1-16[2023-03-29].http://kns.cnki.net/kcms/detail/11.5946.TP.20230322.1750.036.html.
[20] 王立平,张兆坤,邵珠峰,等.机床制造加工数字化车间信息模型及其应用研究[J].机械工程学报,2019,55(9):154-165.
[21] 熊伟杰,郭宇,黄少华,等.基于OPC UA的数字孪生车间实时数据融合与建模研究[J].机械设计与制造,2022,377(7):143-148.
[22] 陶飞,马昕,戚庆林,等.数字孪生连接交互理论与关键技术[J].计算机集成制造系统,2023,29(1):1-10.
[23] 禹鑫燚,殷慧武,施甜峰,等.基于OPC UA的工业设备数据采集系统[J].计算机科学,2020,47(S2):609-614.

基于数字孪生的车间生产数据感知方法设计及实现^*

Design and implementation of workshop production data perception method based on digital twin

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 1

编辑推荐

Metrics