论文标题
可执行的数字双胞胎：合并数字和物理世界
The Executable Digital Twin: merging the digital and the physics worlds
论文作者
论文摘要
尽管数字双胞胎已成为产品创建过程的内在组成部分，但其真正的力量在于数字表示与物理对应物的连通性。在物理资产上获取的数据可以验证，更新和丰富数字双胞胎。数字表示中包含的知识为物理资产本身带来了价值。当从数字双胞胎中提取专用的封装以在特定上下文中建模一组特定的行为，并提供独立的可执行表示形式时，这种实例化和独立的模型被称为可执行的数字双胞胎。在此贡献中，审查了关键的构建块，例如降低模型订单，实时模型，状态估计和共模拟，并提供了许多特征性用例。这些包括虚拟传感，混合测试和循环硬件，基于模型的控制和基于模型的诊断。
While the digital twin has become an intrinsic part of the product creation process, its true power lies in the connectivity of the digital representation with its physical counterpart. Data acquired on the physical asset can validate, update and enrich the digital twin. The knowledge contained in the digital representation brings value to the physical asset itself. When a dedicated encapsulation is extracted from the digital twin to model a specific set of behaviors in a specific context, delivering a stand-alone executable representation, such instantiated and self-contained model is referred to as an Executable Digital Twin. In this contribution, key building blocks such as model order reduction, real-time models, state estimation and co-simulation are reviewed, and a number of characteristic use cases are presented. These include virtual sensing, hybrid testing and hardware-in-the loop, model-based control and model-based diagnostics.
