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Enabling technologies and tools for digital twin
Journal of Manufacturing Systems ( IF 12.1 ) Pub Date : 2019-10-01 , DOI: 10.1016/j.jmsy.2019.10.001
Qinglin Qi , Fei Tao , Tianliang Hu , Nabil Anwer , Ang Liu , Yongli Wei , Lihui Wang , A.Y.C. Nee

Abstract Digital twin is revolutionizing industry. Fired by sensor updates and history data, the sophisticated models can mirror almost every facet of a product, process or service. In the future, everything in the physical world would be replicated in the digital space through digital twin technology. As a cutting-edge technology, digital twin has received a lot of attention. However, digital twin is far from realizing their potential, which is a complex system and long-drawn process. Researchers must model all the different parts of the objects or systems. Varied types of data needed to be collected and merged. Many researchers and participators in engineering are not clear which technologies and tools should be used. 5-dimension digital twin model provides reference guidance for understanding and implementing digital twin. From the perspective of 5-dimension digital twin model, this paper tries to investigate and summarize the frequently-used enabling technologies and tools for digital twin to provide technologies and tools references for the applications of digital twin in the future.

中文翻译:

数字孪生的使能技术和工具

摘要 数字孪生正在彻底改变行业。由传感器更新和历史数据触发,复杂的模型可以反映产品、流程或服务的几乎每个方面。未来,物理世界中的一切都将通过数字孪生技术复制到数字空间中。作为一项前沿技术,数字孪生受到了广泛关注。然而,数字孪生远未实现其潜力,这是一个复杂的系统和长期的过程。研究人员必须对对象或系统的所有不同部分进行建模。需要收集和合并各种类型的数据。许多研究人员和工程参与者并不清楚应该使用哪些技术和工具。5维数字孪生模型为理解和实施数字孪生提供参考指导。
更新日期:2019-10-01
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