Smart-building digital twins aim to virtually replicate the static and dynamic building characteristics through real-time connectivity between the virtual and physical counterparts. The virtual replica of the building can then be leveraged to monitor the current state, predict the future state, and take proactive measures to ensure optimal operation. Despite its potential, smart-building digital twin research is at an early stage compared to manufacturing and aerospace fields. One of the major impediments to adopting digital twin technology in smart buildings is the lack of interoperability, primarily between Building Information Modeling (BIM) and Internet of Things (IoT) data sources. Consequently, this paper presents a novel multi-layer digital twin architecture for smart buildings called BIM-IoT Data Integration (BIM-IoTDI) to enable semantic interoperability among smart-building digital twin applications. A detailed framework is presented based on the newly developed architecture, introducing an ontology-based query mediation method that provides integrated data access. An experimental evaluation model is developed to characterize the feasibility of the BIM-IoTDI architecture and framework. Furthermore, the performance of the new query mediation method is evaluated and compared to an existing BIM-IoT data integration approach. According to the evaluation results, the BIM-IoTDI architecture and framework are better suited to supporting the envisioned smart-building digital twin capabilities.

中文翻译：

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基于闭环CNN和虚拟测井标签的储层预测


智能建筑数字孪生旨在通过虚拟和物理对象之间的实时连接来虚拟复制静态和动态建筑特征。然后可以利用建筑物的虚拟副本来监控当前状态、预测未来状态并采取主动措施以确保最佳运行。尽管具有潜力，但与制造和航空航天领域相比，智能建筑数字孪生研究仍处于早期阶段。在智能建筑中采用数字孪生技术的主要障碍之一是缺乏互操作性，主要是建筑信息模型 (BIM) 和物联网 (IoT) 数据源之间的互操作性。因此，本文提出了一种名为 BIM-IoT 数据集成（BIM-IoTDI）的新型智能建筑多层数字孪生架构，以实现智能建筑数字孪生应用程序之间的语义互操作性。基于新开发的架构提出了详细的框架，引入了基于本体的查询中介方法，提供集成的数据访问。开发了一个实验评估模型来表征 BIM-IoTDI 架构和框架的可行性。此外，还评估了新查询中介方法的性能，并将其与现有 BIM-IoT 数据集成方法进行比较。根据评估结果，BIM-IoTDI架构和框架更适合支持设想的智能建筑数字孪生能力。