The development of Digital Twins (DTs) is hindered by a lack of specialized, open-source solutions that can meet the demands of dynamic applications. This has caused state-of-the-art DT applications to be validated using offline data. However, this approach falls short of integrating real-time data, which is one of the most important characteristics of DTs. This can limit the validating effectiveness of DT applications in cases such as aeronautical ad-hoc networks (AANETs). Considering this, we develop a Real-Time Digital Twin Platform and implement core network selection in AANETs as a case study. In this, we implement microservice-based architecture and design a robust data pipeline. Additionally, we develop an interactive user interface using open-source tools. Using this, the platform supports real-time decision-making in the presence of data retrieval failures.

翻译：数字孪生（DTs）的发展因缺乏能够满足动态应用需求的专用开源解决方案而受到阻碍。这导致最先进的DT应用只能使用离线数据进行验证。然而，这种方法无法整合实时数据，而实时数据是DT最重要的特征之一。这在诸如航空自组织网络（AANETs）等场景中会限制DT应用的验证有效性。鉴于此，我们开发了一个实时数字孪生平台，并以AANETs中的核心网选择作为案例研究进行实现。在此过程中，我们采用了基于微服务的架构，并设计了一个鲁棒的数据管道。此外，我们利用开源工具开发了一个交互式用户界面。通过该平台，即使在数据检索失败的情况下，也能支持实时决策。