面向模型驱动的数字孪生配置：通过SysML、SAREF和Ditto分离结构语义与运行时

中文摘要 AI 辅助

能源社区是共同生产、存储和消费电力的社区，越来越依赖数字孪生——太阳能电池板、电池或加热器等物理设备的实时软件副本，通过保持同步以实现监控和控制。如今，此类孪生的设置大多是手动完成的：工程师手动编写配置，其字段名称随意、单位隐式存在，且不包含机器可读的设备关系描述，导致其他系统无法可靠地对其进行解释。本文认为，该任务应拆分为三个互补工具，每个工具各司其职：用于系统结构的建模语言SysML、用于其含义的标准能源词汇SAREF4ENER，以及用于运行时表示的数字孪生平台Eclipse Ditto（通过W3C物联网事物描述）。本文给出了从带有该词汇注释的SysML模型派生Ditto配置的概念规则（尚未形成可执行生成器），并在Modelio中建模的温室能源社区节点上对这些规则进行了示例说明，还论证了与手动配置相比，这种拆分可提高可追溯性和配置一致性，并建立了互操作性所需的语义钩子。本文将贡献范围限定为设计时配置，并讨论了其局限性。

英文摘要

Energy communities, neighbourhoods that jointly produce, store, and consume electricity, increasingly rely on \emph{digital twins}: live software copies of physical devices such as a solar panel, a battery, or a heater, kept in sync for monitoring and control. Setting up such a twin is today mostly manual: an engineer hand-writes a configuration whose field names are arbitrary, whose units are implicit, and which carries no machine-readable description of how devices relate, so other systems cannot reliably interpret it. This position paper argues that the task should be split across three complementary tools, each doing what it does best: a modelling language for the system's structure (SysML), a standard energy vocabulary for its meaning (SAREF4ENER), and a digital-twin platform for the running representation (Eclipse Ditto, via the W3C Web-of-Things Thing Description). We give conceptual rules (not yet an executable generator) for deriving a Ditto configuration from a SysML model annotated with that vocabulary, illustrate them on a greenhouse energy-community node modelled in Modelio, and argue that the split improves traceability and configuration consistency, and establishes the semantic hooks needed for interoperability, over hand-written alternatives. We scope the contribution to design-time configuration and discuss its limits.

发表机构

• Softeam
• Innopolis University（伊诺波利斯大学）

机构由 AI 辅助整理，请以论文原文为准。