用数字孪生提升复杂系统运维效率，降低故障停机时间。
A Case Study on the Application of Digital Twins for Enhancing CPS Operations
- 将数字孪生用于系统功能扩展与容错支持，减轻硬件负担。
- 在工业场景中验证了该方案可行性，有效提升系统可用性。
- 适合资源受限或老旧系统的智能化升级需求。
为确保农业、制造等领域的复杂网络物理系统（Cyber-Physical Systems, CPS）的可用性并减少停机时间，通常会部署复杂的容错机制，但其开发与运行均十分复杂。此外，许多CPS面临硬件资源有限或为老旧系统的问题，难以直接在本地硬件上添加新功能。数字孪生技术可承担高计算负载任务，并提供容错支持，从而降低系统成本与运维停机时间。本文通过一个面向工业的应用案例，展示了数字孪生在增强CPS操作能力方面的可行性，特别是在功能扩展和提高容错性方面。
原文摘要 · Abstract (English)
To ensure the availability and reduce the downtime of complex cyber-physical systems across different domains, e.g., agriculture and manufacturing, fault tolerance mechanisms are implemented which are complex in both their development and operation. In addition, cyber-physical systems are often confronted with limited hardware resources or are legacy systems, both often hindering the addition of new functionalities directly on the onboard hardware. Digital Twins can be adopted to offload expensive computations, as well as providing support through fault tolerance mechanisms, thus decreasing costs and operational downtime of cyber-physical systems. In this paper, we show the feasibility of a Digital Twin used for enhancing cyber-physical system operations, specifically through functional augmentation and increased fault tolerance, in an industry-oriented use case.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。