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Digital Twins for the built environment: learning from conceptual and process models in manufacturing

机译:建筑环境的数字双胞胎:从概念和过程模型中学习制造业

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The overall aim of this paper is to contribute to a better understanding of the Digital Twin (DT) paradigm in the built environment by drawing inspiration from existing DT research in manufacturing. The DT is a Product Life Management information construct that has migrated to the built environment while research on the subject has grown intensely in recent years. Common to early research phases, DT research in the built environment has developed organically, setting the basis for mature definitions and robust research frameworks. As DT research in manufacturing is the most developed, this paper seeks to advance the understanding of DTs in the built environment by analysing how the DT systems reported in manufacturing literature are structured and how they function. Firstly, this paper presents a thorough review and a comparison of DT, cyber-physical systems (CPS), and building information modelling (BIM). Then, the results of the review and categorisation of DT structural and functional descriptions are presented. Fifty-four academic publications and industry reports were reviewed, and their structural and functional descriptions were analysed in detail. Three types of structural models (i.e. conceptual models, system architectures, and data models) and three types of functional models (process and communication models) were identified. DT maturity models were reviewed as well. From the reviewed descriptions, four categories of DT conceptual models (prototypical, model-based, interface-oriented, and service-based) and six categories of DT process models (DT creation, DT synchronisation, asset monitoring, prognosis and simulation, optimal operations, and optimised design) were defined and its applicability to the AECO assessed. While model-based and service-based models are the most applicable to the built environment, amendments are still required. Prognosis and simulation process models are the most widely applicable for AECO use-cases. The main contribution to knowledge of this study is that it compiles the DT's structural and functional descriptions used in manufacturing and it provides the basis to develop DT conceptual and process models specific to requirements of the built environment sectors.
机译:本文的总体目标是通过吸引制造业的现有DT研究的灵感来促进建筑环境中的数字双胞胎(DT)范式。 DT是一种产品寿命管理信息构造,它已经迁移到内置环境,同时近年来对受试者的研究感到强烈增长。早期研究阶段共同,建造环境中的DT研究已经有机开发,为成熟定义和强大的研究框架进行了基础。由于制造业的DT研究是最开发的,本文旨在通过分析制造文献中报告的DT系统的结构以及它们如何运作,探讨建筑环境中对DTS的理解。首先,本文提出了彻底的审查和DT,网络 - 物理系统(CPS)和建筑信息建模(BIM)的比较。然后,介绍了DT结构和功能描述的审查和分类的结果。审查了五十四个学术出版物和行业报告,并详细分析了它们的结构和功能描述。识别了三种类型的结构模型(即概念模型,系统架构和数据模型)和三种类型的功能模型(过程和通信模型)。 DT成熟模型也被审查。从审查的描述中,四类DT概念模型(原型,模型,面向界面,基于服务的)和六个类别的DT过程模型(DT创建,DT同步,资产监测,预后和仿真,最佳操作定义了和优化的设计,并且其对AECO评估的适用性。虽然基于模型和基于服务的模型是最适用于内置环境的,但仍需要修改。预后和仿真过程模型是适用于AECO使用情况的最广泛应用。对本研究的了解的主要贡献是它编制了DT的制造中使用的结构和功能描述,为开发了特定于内置环境部门的要求的DT概念和工艺模型提供了基础。

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