基于数字孪生的柔性线状态监测与分析系统
姚潇潇1，包壁祯2，祝丽莎2，宋诗军2，方辉*,1
（1.四川大学 机械工程学院，四川 成都 610065；2.成都四威高科技产业园有限公司，四川 成都 610097）
摘要：随着智能制造的发展，数字孪生技术在制造业中的应用逐步深化，可以用于复杂设备的运行监测。为实现柔性生产线的三维可视化与加工过程监控，同时指导用户对生产过程进行管理和预测，设计开发了一种基于数字孪生的柔性生产线状态监测系统。该系统的基本架构包括数据保障层、建模计算层、数字孪生功能层、用户空间层，保障了系统的功能性、时效性、可操作性等。同时从几何模型、行为模型、数据模型三个维度构建了数字孪生系统模型，实现了动作特征虚实融合一致性和工艺数据与质量数据采集。以某柔性生产线为例进行实验测试与分析，系统可以与实际柔性生产线正常通讯并对数据做出响应，且延迟均值为131.1 ms，可见虚拟映射与现实状况保持高度一致，验证了该方法的可行性。
关键词：数字孪生；状态监控；柔性制造；数控机床
中图分类号：TP391.9 文献标志码：A doi：10.3969/j.issn.1006-0316.2023.11.001
文章编号：1006-0316 (2023) 11-0001-08
Digital Twin-Based Condition Monitoring and Analysis System for Flexible Manufacturing Lines
YAO Xiaoxiao1，BAO Bizhen2，ZHU Lisha2，SONG Shijun2，FANG Hui1
( 1.The School of Mechanical Engineering, Sichuan University, Chengdu 610065, China; 2.Chengdu SIWI High-Tech Industrial Co., Ltd., Chengdu 610097, China )
Abstract：With the development of smart manufacturing, the application of digital twin technology in manufacturing industry has been gradually deepened and can be used for the operation monitoring of complex equipment. A digital twin-based flexible production line condition monitoring system is designed and developed to realize the 3D visualization and the process monitoring of flexible production lines, as well as to guide users to manage and predict the production process. The basic architecture of the system includes the data assurance layer, the modeling and calculation layer, the digital twin function layer, and the user space layer, which guarantees the functionality, timeliness, and operability of the system. Meanwhile, the digital twin system model is constructed from the 3 dimensions of geometric model, behavioral model and data model, which realizes the consistency of virtual-real fusion of action features and the collection of process data and quality data. The experimental testing and analysis on a flexible production line show that the system can communicate with the actual flexible production line normally and respond to the data, and the average value of delay is 131.1 ms, which shows that the virtual mapping is highly consistent with the real situation and verifies the feasibility of the method.
Key words：digital twin；condition monitoring；flexible manufacturing；CNC machine tools
———————————————
收稿日期：2023-03-23
基金项目：国家自然科学基金（92060114）；成都四威高科技产业园有限公司技术开发项目（HG2022086JG2022183）
作者简介：姚潇潇（1999－），女，福建福州人，硕士研究生，主要研究方向为数字孪生及其在智能制造系统中的应用，E-mail：1592386654@qq.com。
*通讯作者：方辉（1973－），男，湖南岳阳人，博士，副教授，主要研究方向为加工检测一体化技术及装备、智能装备及其应用，E-mail：jfh@scu.edu.cn。
（1.四川大学 机械工程学院，四川 成都 610065；2.成都四威高科技产业园有限公司，四川 成都 610097）
摘要：随着智能制造的发展，数字孪生技术在制造业中的应用逐步深化，可以用于复杂设备的运行监测。为实现柔性生产线的三维可视化与加工过程监控，同时指导用户对生产过程进行管理和预测，设计开发了一种基于数字孪生的柔性生产线状态监测系统。该系统的基本架构包括数据保障层、建模计算层、数字孪生功能层、用户空间层，保障了系统的功能性、时效性、可操作性等。同时从几何模型、行为模型、数据模型三个维度构建了数字孪生系统模型，实现了动作特征虚实融合一致性和工艺数据与质量数据采集。以某柔性生产线为例进行实验测试与分析，系统可以与实际柔性生产线正常通讯并对数据做出响应，且延迟均值为131.1 ms，可见虚拟映射与现实状况保持高度一致，验证了该方法的可行性。
关键词：数字孪生；状态监控；柔性制造；数控机床
中图分类号：TP391.9 文献标志码：A doi：10.3969/j.issn.1006-0316.2023.11.001
文章编号：1006-0316 (2023) 11-0001-08
Digital Twin-Based Condition Monitoring and Analysis System for Flexible Manufacturing Lines
YAO Xiaoxiao1，BAO Bizhen2，ZHU Lisha2，SONG Shijun2，FANG Hui1
( 1.The School of Mechanical Engineering, Sichuan University, Chengdu 610065, China; 2.Chengdu SIWI High-Tech Industrial Co., Ltd., Chengdu 610097, China )
Abstract：With the development of smart manufacturing, the application of digital twin technology in manufacturing industry has been gradually deepened and can be used for the operation monitoring of complex equipment. A digital twin-based flexible production line condition monitoring system is designed and developed to realize the 3D visualization and the process monitoring of flexible production lines, as well as to guide users to manage and predict the production process. The basic architecture of the system includes the data assurance layer, the modeling and calculation layer, the digital twin function layer, and the user space layer, which guarantees the functionality, timeliness, and operability of the system. Meanwhile, the digital twin system model is constructed from the 3 dimensions of geometric model, behavioral model and data model, which realizes the consistency of virtual-real fusion of action features and the collection of process data and quality data. The experimental testing and analysis on a flexible production line show that the system can communicate with the actual flexible production line normally and respond to the data, and the average value of delay is 131.1 ms, which shows that the virtual mapping is highly consistent with the real situation and verifies the feasibility of the method.
Key words：digital twin；condition monitoring；flexible manufacturing；CNC machine tools
———————————————
收稿日期：2023-03-23
基金项目：国家自然科学基金（92060114）；成都四威高科技产业园有限公司技术开发项目（HG2022086JG2022183）
作者简介：姚潇潇（1999－），女，福建福州人，硕士研究生，主要研究方向为数字孪生及其在智能制造系统中的应用，E-mail：1592386654@qq.com。
*通讯作者：方辉（1973－），男，湖南岳阳人，博士，副教授，主要研究方向为加工检测一体化技术及装备、智能装备及其应用，E-mail：jfh@scu.edu.cn。
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