摘要
近年来,国内制造业向着智能化、可视化的方向快速发展,但普遍存在的包括数控设备间交互困难、现场设备的监测成本高、数据可视化程度低等问题并未得到有效解决。本文针对以上问题,提出了更为合理的解决方案,该系统通过数字孪生技术对真实物理设备及生产现场进行数字化建模,通过OPC统一架构进行数据采集,生产数据经过采集网关、通过MES系统处理,作为数据驱动模型的数据源,通过数据驱动引擎驱动数字孪生体,完成真实设备与孪生模型之间的同步,将数字化生产状况同步至平台实现可视化。通过生产测试,实践并验证了该系统在设备监控和生产可视化方面的优势。为企业生产车间的智能化、可视化做出了贡献。
In recent years, the domestic manufacturing industry is developing rapidly in the direction of intelligence and visualization, but common problems include the difficulty of interaction between CNC equipment and the monitoring of on-site equipment. High costs and lack of data visualization have not been effectively resolved. To solve the above problems, this paper proposes a more reasonable solution. The system uses digital twin technology to digitally model real physical equipment and production sites, and collects data through the OPC unified architecture. The production data is processed by the collection gateway and MES system. As the data source of the data-driven model, the data-driven engine is used to drive the digital twin, so as to complete the synchronization between the real device and the twin model, and synchronize the digital production status to the platform for visualization. Through production testing, the advantages of the system in equipment monitoring and production visualization have been practiced and verified, which contributes to the intelligence and visualization of modern production workshops.
出处
《计算机科学与应用》
2021年第9期2289-2301,共13页
Computer Science and Application