Modeling and simulation of digital twin technology in intelligent manufacturing control systems
数字孪生技术在智能制造控制系统中的建模与仿真

摘要

数字孪生技术在智能制造控制系统中的应用越来越广泛，能够显著提高制造过程的效率与精确度。本文探讨了数字孪生技术在智能制造控制系统中的建模与仿真方法，提出了如何基于实时数据和物理模型构建精确的虚拟模型，并通过仿真实现对生产过程的实时监控与优化。本文分析了数字孪生在智能制造中的具体应用，包括生产过程优化、设备维护预测和质量控制等方面，并提出了现阶段该技术面临的挑战及其解决方案。最后，结合未来发展趋势，探讨了数字孪生技术在智能制造中进一步发展的潜力。

Abstract

The application of digital twin technology in intelligent manufacturing control systems is becoming increasingly widespread, which can significantly improve the efficiency and precision of the manufacturing process. This paper explores the modeling and simulation methods of digital twin technology in intelligent manufacturing control systems, and proposes how to construct accurate virtual models based on real-time data and physical models, and achieve real-time monitoring and optimization of the production process through simulation. This paper analyzes the specific applications of digital twin in intelligent manufacturing, including production process optimization, equipment maintenance prediction, quality control, etc., and proposes the challenges faced by this technology at the present stage and their solutions. Finally, in combination with the future development trend, the potential for the further development of digital twin technology in intelligent manufacturing is discussed.