SoS数字孪生策略的4个挑战和SoS数字孪生的4种架构设置

M. Borth, J. Verriet, G. Muller
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引用次数: 21

摘要

系统的网络物理系统在机器生成的数据上运行,这些数据构成了许多以信息为中心的功能和过程的基础。特别是在系统的基础设施系统和物联网应用中,数据成为有关其高效和有效操作的额外任务的资产,例如,降低总拥有成本的预测性维护。数字孪生体很好地支持了许多这些任务,但在系统的系统中建立这样的系统和过程的数字副本由于这种背景而变得复杂,例如,由于贡献系统的管理独立性往往限制了可用的信息和数据共享。我们将讨论这些挑战以及解决这些挑战的策略和架构,并通过智能电网和智能建筑领域的示例说明网络物理系统和物联网的数字孪生视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Twin Strategies for SoS 4 Challenges and 4 Architecture Setups for Digital Twins of SoS
Cyber physical systems of systems operate on and with machine-generated data that form the foundation of many of their information-centric functions and processes. Especially within infrastructure systems of systems and the applications of the internet of things, data became an asset for additional tasks regarding their efficient and effective operations, e.g., predictive maintenance which lowers the total costs of ownership. Many of these tasks are well supported by digital twins but building such digital replicas of systems and processes within a system of system is complicated by that context, e.g., due to the managerial independence of the contributing systems that often restricts available information and data sharing. We discuss these challenges together with strategies and architectures that address them and illustrate this digital twin perspective on cyber physical systems and the internet of things with examples from the smart grid and smart building domain.
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