系统仿真学报 ›› 2024, Vol. 36 ›› Issue (1): 120-130.doi: 10.16182/j.issn1004731x.joss.22-1006

• 论文 • 上一篇    

面向流程制造的数字孪生车间可视化监控系统研究

阴艳超1(), 冯嘉胜1(), 易斌2, 李旺1, 尹庆文1   

  1. 1.昆明理工大学 机电工程学院,云南 昆明 650500
    2.云南中烟工业有限责任公司,云南 昆明 650231
  • 收稿日期:2022-08-25 修回日期:2022-11-07 出版日期:2024-01-20 发布日期:2024-01-19
  • 通讯作者: 冯嘉胜 E-mail:yinyc@163.com;3043784278@qq.com
  • 第一作者简介:阴艳超(1977-),女,教授,博士,研究方向为智能制造、工业大数据、知识工程。E-mail:yinyc@163.com
  • 基金资助:
    国家自然科学基金(52065033);云南省重大科技项目(202202AG050002)

Visual Monitoring System of Digital Twin Workshop for Process Manufacturing

Yin Yanchao1(), Feng Jiasheng1(), Yi Bin2, Li Wang1, Yin Qingwen1   

  1. 1.Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, China
    2.China Tobacco Yunnan Industrial Co. LTD, Kunming 650231, China
  • Received:2022-08-25 Revised:2022-11-07 Online:2024-01-20 Published:2024-01-19
  • Contact: Feng Jiasheng E-mail:yinyc@163.com;3043784278@qq.com

摘要:

为了解决流程制造过程监控实时性差、准确性不足的问题,在数字孪生技术迅速发展且与制造业结合愈发紧密的背景下,提出基于生产要素数据、生产工艺流程与多工序设备实体对象的数字孪生车间可视化监控系统架构。从要素、状态、运行逻辑等多个维度对多工序耦合生产线实体对象进行孪生建模,基于OPC UA统一架构的数据采集传输,虚拟车间的实时驱动等关键技术,实现了流程制造设备状态、生产要素工艺全流程三维可视化监控。基于某流程制造企业制丝生产试验线开展了应用验证,为提升流程制造过程中全生产要素的预见性、联动性、自治性提供了方法和实现途径。

关键词: 流程制造, 数字孪生, 多工序耦合生产线, 面向对象的赋时Petri网, 可视化监控

Abstract:

To solve the problem of poor real-time and accuracy of process manufacturing monitoring, this paper proposes a visual monitoring system architecture of digital twin workshop based on production factor data, production process, and multi-process equipment entity object amid the rapid development of digital twin technology and increasingly close integration with the manufacturing industry. Twin modeling is conducted on multi-process coupling production line entity objects from multiple dimensions such as element, state, and operation logic. Based on key technologies of data collection and transmission of OPC UA (OLE for process control unified archiecture) unified architecture and real-time drive of the virtual workshop, the three-dimensional visual monitoring of the process manufacturing equipment status and the whole process of production factors is realized. Finally, the application verification is carried out based on the silk production test line of a process manufacturing enterprise. This paper provides a method and realization way to improve the predictability, linkage, and autonomy of the whole production factors in the process manufacturing.

Key words: process manufacturing, digital twin, multi-process coupling production line, object-oriented timed Petri net(OOTPN), visual monitoring

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