The exploration of innovative applications of digital twin technology in the production management of mechanical and electrical engineering
数字孪生技术在机电工程生产管理中的创新应用探索

摘要

当前，机电工程生产管理面临设备维护效率低、生产调度不精准、质量控制滞后和资源优化不足等问题。数字孪生技术通过构建虚拟模型与物理实体的交互，实现了对设备状态的实时监测、生产计划的动态优化、质量控制的前置化以及资源分配的精准化，显著提升了生产效率和质量稳定性。未来，数字孪生技术将与物联网、大数据、人工智能等技术深度融合，拓展至产品全生命周期管理，并在跨行业协同和绿色制造中发挥更大作用，推动制造业向智能化、高效化和可持续方向发展。

Abstract

At present, the production management of mechanical and electrical engineering faces issues such as low equipment maintenance efficiency, inaccurate production scheduling, lagging quality control, and insufficient resource optimization. Digital twin technology, through the interaction between virtual models and physical entities, has realized real-time monitoring of equipment status, dynamic optimization of production plans, proactive quality control, and precise resource allocation. This has significantly improved production efficiency and quality stability. In the future, digital twin technology will be deeply integrated with the Internet of Things, big data, and artificial intelligence. It will be extended to the full lifecycle management of products and play a greater role in cross-industry collaboration and green manufacturing, driving the manufacturing industry towards intelligent, efficient, and sustainable development.