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Digital Twins for Manufacturing Using UML and Behavioral Specifications

机译:使用UML和行为规范进行制造的数字孪生

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Using digital twins, physical manufacturing objects can be virtualized and represented as digital models which are seamlessly integrated in both the physical and the digital space. This allows to simulate, verify and optimize production systems, from the logistical aspects to the manufacturing process and the involved components. A key challenge, in this area, is how to describe digital twins in complex manufacturing systems such that all physical details, processes, and verification needs are modeled at an appropriate and efficient abstraction level, e.g., modeling and detecting divers faults in production processes. To address this challenge, in this paper we present our work on modeling digital twins of manufacturing facilities using UML. UML class diagrams are used to describe static dependencies between entities, as well as to monitor and analyze the dynamic verification and quality aspects of manufacturing such as fault detection and consistency checks. Utilizing the key relevant features of UML in our approach, the designed class diagrams are used and enriched with behavioral models serving as digital twins which can be updated by live data from the manufacturing plant. We present a small example based on simulation programs and a demonstrator. The presented modeling approach and example provide useful insights to UML-based design of digital twins in complex manufacturing systems.
机译:使用数字孪生,可以将物理制造对象虚拟化并表示为无缝集成在物理空间和数字空间中的数字模型。从物流方面到制造过程以及所涉及的组件,这可以模拟,验证和优化生产系统。在该领域中的关键挑战是如何在复杂的制造系统中描述数字孪生,以便在适当且有效的抽象级别上对所有物理细节,过程和验证需求进行建模,例如在生产过程中对潜水员的故障进行建模和检测。为了解决这一挑战,在本文中,我们介绍了使用UML对制造工厂的数字孪生模型进行建模的工作。 UML类图用于描述实体之间的静态依赖关系,以及监视和分析制造中的动态验证和质量方面的内容,例如故障检测和一致性检查。在我们的方法中利用UML的关键相关功能,使用设计的类图并丰富了行为模型,这些行为模型用作数字孪生模型,可以通过制造工厂的实时数据进行更新。我们提供一个基于仿真程序和演示器的小例子。提出的建模方法和示例为复杂制造系统中基于双胞胎的数字双胞胎设计提供了有用的见解。

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