Abstract Digital Twin (DT) is a ‘living’ entity that offers potential with monitoring and improving functionality of interconnected complex engineering systems (CESs). However, lack of approaches for adaptively connecting the existing brownfield systems and their data limits the use of DTs. This paper develops a new DT design framework that uses ontologies to enable co-evolution with the CES by capturing data in terms of variety, velocity, and volume across the asset life-cycle. The framework has been tested successfully on a helicopter gearbox demonstrator and a mobile robotic system across their life cycles, illustrating DT adaptiveness without the data architecture needing to be modified.

中文翻译：

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自适应数字孪生的设计框架

摘要 数字孪生 (DT) 是一个“活的”实体，它具有监控和改进互连复杂工程系统 (CES) 功能的潜力。然而，缺乏自适应连接现有棕地系统及其数据的方法限制了 DT 的使用。本文开发了一种新的 DT 设计框架，该框架使用本体通过在资产生命周期中的多样性、速度和数量方面捕获数据来实现与 CES 的共同进化。该框架已在直升机齿轮箱演示器和移动机器人系统的整个生命周期中成功进行了测试，说明了 DT 自适应性，而无需修改数据架构。