数字孪生技术通过构建实体对象的网络等效模型,达到对物品或机构在线监测、评估及优化的目的。其发端可追溯至20世纪末的NASA,现今已普及于众多制造行业。数字孪生技术在制造业的应用日渐普及,极大地促进了生产效率的提升,减少了生产开支,并提高了制成品的品质。为研究数字孪生技术在全球制造业中的应用现状和发展趋势,本报告采用文献调研和案例研究方法,系统性地研究了全球制造业面临的挑战,制造业的数字化转型,数字孪生技术在航空航天、汽车制造、半导体和电子产品制造、重型工业和机械生产等领域的应用与实践。本文分析了数字孪生技术的进步方向、制造产业结构的升级潮流以及政策和市场趋势。数字孪生技术在全球生产领域的运用范围持续扩大,未来数字孪生技术将与量子计算、区块链和增强现实等前沿技术融合,助力制造业向自适应生产系统和可持续性方向转型。为此,生产企业和决策者应对人才和技术予以支持,制定涉及多个领域的合作机制及数据处理方案,以保障数字孪生科技的高效利用与持续进步。
Digital twin technology achieves online monitoring,evaluation,and optimization of items or institutions by constructing a network equivalent model of physical objects. Its origins can be traced back to NASA at the end of the 20th century,and it is now widely used in many manufacturing industries. The application of digital twin technology in the manufacturing industry is becoming increasingly popular,greatly promoting the improvement of production efficiency,reducing production costs,and improving the quality of finished products. To investigate the current status and development trends of digital twin technology in the global manufacturing industry,this report adopts literature research and case study methods to systematically study the challenges faced by the global manufacturing industry,the digital transformation of the manufacturing industry,and the application and practice of digital twin technology in aerospace,automotive manufacturing,semiconductor and electronic product manufacturing,heavy industry,and machinery production. The report analyzes the progress direction of digital twin technology,the upgrading trend of manufacturing industry structure,as well as policy and market trends. The report believes that the application scope of digital twin technology in the global production field continues to grow. In the future,digital twin technology will be integrated with cutting-edge technologies such as quantum computing,blockchain,and augmented reality to help the manufacturing industry transform towards adaptive production systems and sustainability. The report recommends that production enterprises and decision-makers provide financial support for talent and technology,develop cooperation mechanisms and data processing plans involving multiple fields,and ensure the efficient utilization and continuous progress of digital twin technology.