首页|数据驱动的生产线数字孪生系统构建与应用

数据驱动的生产线数字孪生系统构建与应用

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为满足生产线智能化的发展需求,针对传统生产线现场调试周期长,生产线三维可视化能力差,生产数据不同步,现场状态监控成本高等问题,结合数字孪生技术,以数据驱动为基础,构建了生产线数字孪生系统.首先运用Process Simulate构建生产线上的各类设备的数字孪生模型,根据数据通信网络和数据采集架构图,利用OPC UA和Modbus通信,读取生产线设备实时数据,并存入相应的数据库中作为驱动生产线数字孪生模型的数据源,从而实现数字孪生模型对物理实体的实时映射.最后,通过搭建虚拟仿真环境,对数字孪生系统进行虚拟调试,并通过构建实例验证平台,验证生产线数字孪生系统的有效性和可行性.
Construction and application of a digital twin system for data-driven intelligent manufacturing line
In response to the demand for the intelligent development of production lines,a data-driven digital twin system for the production line has been constructed,addressing challenges such as lengthy on-site debugging cycles,limited three-dimensional visualization capabilities,asynchronous production data,and high on-site monitoring costs typically encountered in traditional production lines.Initially,the digital twin models for various equipment on the production line were constructed using Process Simulate.Real-time data from production line equipment was retrieved via OPC UA and Modbus communication protocols,based on the data communication network and data acquisition architecture diagram.This data was subsequently stored in the corresponding database,serving as the data source driving the digital twin model,thereby enabling the real-time mapping of physical entities by the digital twin model.Finally,a virtual simulation environment was established for the virtual commissioning of the digital twin system.Additionally,the effectiveness and feasibility of the production line digital twinning system were verified by constructing an example verification platform.This paper highlights the successful construction of the production line digital twin system and emphasizes the potential impact of digital twinning technology on the intelligent evolution of modern production lines.

intelligent manufacturingdata-drivendigital twinvirtual commissioning

黄涵钰、毛柯夫、苑明海、郑良、裴凤雀

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河海大学机电工程学院,江苏 常州 213022

常州市智能制造技术与装备重点实验室,江苏 常州 213022

智能制造 数据驱动 数字孪生 虚拟调试

江苏省自然科学基金面上项目教育部人文社科规划基金项目常州市科技项目常州市科技计划项目常州市科技计划项目河海大学优秀研究生学位论文培育项目江苏省研究生科研创新计划项目

BK2020116221YJA630111CJ20220207CM20223014CE20235052422003489422003179

2024

10.19287/j.mtmt.1005-2402.2024.02.009

制造技术与机床
中国机械工程学会 北京机床研究所

制造技术与机床

CSTPCD北大核心
影响因子：0.264
ISSN：1005-2402
年,卷(期)：2024.(2)
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