[1]姚培福,王建国,谭正洲.基于工业数字孪生仿真建模的虚拟工厂业务协同模型研究[J].机械与电子,2021,(11):67-72.
　YAO Peifu,WANG Jianguo,TAN Zhengzhou.Research on Virtual Factory Business Collaboration Model Based on Industrial Digital Twin Simulation Modeling[J].Machinery & Electronics,2021,(11):67-72.

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基于工业数字孪生仿真建模的虚拟工厂业务协同模型研究()

分享到：

机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:

期数:

2021年11期

页码:

67-72

栏目:

智能工程

出版日期:

2021-11-24

文章信息/Info

Title:

Research on Virtual Factory Business Collaboration Model Based on Industrial Digital Twin Simulation Modeling

文章编号:

1001-2257 ( 2021 ) 11-0067-06

作者:

姚培福; 王建国; 谭正洲

云南铜业(集团)有限公司,云南 昆明 650051

Author(s):

YAO Peifu ;  WANG Jianguo ;  TAN Zhengzhou

( Yunnan Copper( Group ) Co. , Ltd. , Kunming 650051 , China )

关键词:

工业数字孪生; 虚拟工厂; 深度学习算法; 业务协同模型; 工程应用验证

Keywords:

industrial digital twin ;  virtual factory ;  deep learning algorithm ;  business collaboration model ;  engineering application verification

分类号:

TP391.9

文献标志码:

A

摘要:

着重改善物理实体智慧工厂在工程实践中日益凸显的环境变量动态变化实时感知失效、多维因素约束下,设备互联与数字集成失衡和较长周期内自主预测机制缺失等若干缺陷,构建了基于工业数字孪生仿真建模的虚拟工厂业务协同模型,并进行了典型环境下的仿真验证。首先,引入工业数字孪生仿真建模技术,构建了面向虚拟工厂业务协同模型的体系架构,给出了虚拟工厂数据流与控制流之间的耦合关系;然后,从数据感知及高效传输模型、融合事件驱动的虚实映射模型和基于深度学习的虚拟工厂业务协同模型等方面,详细给出了模型体系架构涉及的关键问题解决方案;最后,在 PyCharm 集成环境下构建虚拟工厂业务最优协同模型典型应用环境,并进行了多维仿真验证。以某有色金属冶炼行业重点企业为应用案例,对模型进行了工程应用实践验证,验证结果表明,模型较好改善了物理实体智慧工厂在工程实践中日益凸显的若干不足,具有环境变量动态变化实时感知全面、多维因素约束下设备互联与数字集成和较长周期内自主决策趋向明显等优势。

Abstract:

Aiming at improving a number of defects such as the daily increasingly prominent real- time perception failures of dynamic changes of environmental variables in the engineering practice of the physical entity smart factories , the imbalance of equipment interconnection and digital integration under the constraints of multi-dimensional factors , and the lack of autonomous prediction mechanisms in a long period of time , etc. , the virtual factory business collaboration model based on industrial digital twin simulation modeling was constructed and simulated andverified in a typical environment.Firstly , the industrial digital twin simulation modeling technology is introduced , and the architecture of the virtual factory business collaboration model is constructed , and the coupling relationship between the data flow and control flow of the virtual factory is given , then , the key problem solutions involved in the model architecture are given in detail from the aspects of data perception and efficient transmission model , fusion event-driven virtual and real mapping model , and virtual factory business collaboration model based on deep learning.Finally , the typical application environment for the optimal?collaborative?model of virtual factory business was constructed under the PyCharm integrated environment and multi-dimensional?simulation?verification was carried out.Taking the key enterprise in the non-ferrous metal smelting industry as the application case , the model was verified by engineering application practice , the verification results show that the model has improved severa deficiencies that have become increasingly prominent in the engineering practice of the physical entity smart factory , it has the advantages of real-time perception of the dynamic changes of environmental variables , device interconnection and digital integration under the constraints of multi-dimensional factors , and obvious trends in autonomous decision-making in a long period.

备注/Memo

备注/Memo:

收稿日期: 2021-06-22

基金项目:中国铜业重点科技计划项目( 20170501 );云南省矿产资源预测评价工程实验室开放项目( 20180073 );云南省科技人才和平台计划项目( 2018HB089 )

作者简介:姚培福 ( 1981- ),男,江西萍乡人,硕士,高级工程师,研究方向为虚拟工厂建模仿真、工业互联网、智能制造等。

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