Digital twins for the designs of systems: a perspective
Digital twins for the designs of systems: a perspective
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DOI：
10.1007/s00158-023-03488-x
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发表时间：
2022-11
影响因子：
3.9
通讯作者：
A. V. Beek;V. Karkaria;W. Chen
中科院分区：
文献类型：
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作者：
A. V. Beek;V. Karkaria;W. Chen
系统的设计和操作通常被视为一个顺序决策过程，该过程由物理实验和模拟数据提供信息。然而，这些高维和异构数据源的集成需要考虑系统的剩余生命周期的决策的影响。因此，这带来了一定程度的复杂性，在大多数情况下，只能通过简化的决策方法来解决。在这篇透视论文中，我们使用数字孪生概念来制定系统设计的综合视角。具体来说，我们展示了数字孪生概念如何在系统生命周期的每个阶段实现系统设计决策和运营决策的集成。这种观点有两个优点：（i）提高系统性能，因为可以做出更有效的决策，以及（ii）提高数据效率，因为它提供了一个利用来自多个源和设计实例的数据的框架。所提出的观点的新奇在于，它需要一种能够实现车队级（即，影响多个系统的决策）和系统级决策。从一个正式的定义，我们确定了一组八个功能，是重要的结构，带来的潜力，如本文所定义的，数字孪生概念的系统设计。随后，通过将这些功能与有关数字双胞胎的现有文献进行比较，我们确定了研究问题并预测了其更广泛的影响。通过概念化数字孪生概念对系统设计的潜力，我们希望有助于在这个新兴领域中的定义，问题制定，研究差距和价值主张的融合。解决与数字孪生启发的系统设计公式相关的研究问题，将带来更先进的系统，可以满足社会的一些重大挑战。
The design and operation of systems are conventionally viewed as a sequential decision-making process that is informed by data from physical experiments and simulations. However, the integration of these high-dimensional and heterogeneous data sources requires the consideration of the impact of a decision on a system’s remaining life cycle. Consequently, this introduces a degree of complexity that in most cases can only be solved through a simplified decision-making approach. In this perspective paper, we use the digital twin concept to formulate an integrated perspective for the design of systems. Specifically, we show how the digital twin concept enables the integration of system design decisions and operational decisions during each stage of a system’s life cycle. This perspective has two advantages: (i) improved system performance as more effective decisions can be made, and (ii) improved data efficiency as it provides a framework to utilize data from multiple sources and design instances. The novelty in the presented perspective is that it necessitates an approach that enables fleet-level (i.e., decisions that influence a plurality of systems) and system-level decisions. From a formal definition, we identify a set of eight capabilities that are vital constructs to bring about the potential, as defined in this paper, that the digital twin concept holds for the design of systems. Subsequently, by comparing these capabilities with the available literature on digital twins, we identify research questions and forecast their broader impact. By conceptualizing the potential that the digital twin concept holds for the design of systems, we hope to contribute to the convergence of definitions, problem formulations, research gaps, and value propositions in this burgeoning field. Addressing the research questions, associated with the digital twin-inspired formulation for the design of systems, will bring about more advanced systems that can meet some of the societies’ grand challenges.