SPHERE: BIM Digital Twin Platform

Alonso, Rubén; Borras, Mikel; Koppelaar, Rembrandt; Lodigiani, Alessandro; Loscos, Eduard; Yöntem, Emre

doi:10.3390/proceedings2019020009

Cited by 42 publications

(40 citation statements)

References 6 publications

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“…Fault detection and diagnostics issues in built environment can be found in [73] towards improved Building Information Modeling (BIM) systems. In [74], the authors introduced BIM digital twins for better assessment and development of the design, construction and performance of residential buildings. A full scale digital twin of a district heating and cooling network aligned with the visions of Industry 4.0 can be found in [75].…”

Section: E Cities Transportation and Energy Sectormentioning

confidence: 99%

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

2020

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A digital twin can be defined as an adaptive model of a complex physical system. Recent advances in computational pipelines, multiphysics solvers, artificial intelligence, big data cybernetics, data processing and management tools bring the promise of digital twins and their impact on society closer to reality. Digital twinning is now an important and emerging trend in many applications. Also referred to as a computational megamodel, device shadow, mirrored system, avatar or a synchronized virtual prototype, there can be no doubt that a digital twin plays a transformative role not only in how we design and operate cyber-physical intelligent systems, but also in how we advance the modularity of multi-disciplinary systems to tackle fundamental barriers not addressed by the current, evolutionary modeling practices. In this work, we review the recent status of methodologies and techniques related to the construction of digital twins. Our aim is to provide a detailed coverage of the current challenges and enabling technologies along with recommendations and reflections for various stakeholders.

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Section: E Cities Transportation and Energy Sectormentioning

confidence: 99%

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

2020

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“…Digital modeling and complementary data matching are carried out based on technologies such as BIM to integrate different algorithms and simulations. Alonso et al (2019) pursued a four-year EU-funded Digital Twin project named SPHERE (Service Platform to Host and SharE Residential data), aiming to provide an integrated ICT (Information and Communication) platform for better design, construction, and performance evaluation of residential buildings. In addition, Mohammadi and Taylor (2019) proposed a game-theoretic approach that aimed to enable the analysis of city-scale Digital Twin.…”

Section: Conceptual Framework Of Ideal Digital Twin In the Built Envimentioning

confidence: 99%

From BIM to digital twins: a systematic review of the evolution of intelligent building representations in the AEC-FM industry

Deng¹,

Menassa²,

Kamat³

2021

ITcon

186

100

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The widespread adoption of Building Information Modeling (BIM) and the recent emergence of Internet of Things (IoT) applications offer several new insights and decision-making capabilities throughout the life cycle of the built environment. In recent years, the ability of real-time connectivity to online sensors deployed in an environment has led to the emergence of the concept of the Digital Twin of the built environment. Digital Twins aim to achieve synchronization of the real world with a virtual platform for seamless management and control of the construction process, facility management, environment monitoring, and other life cycle processes in the built environment. However, research in Digital Twins for the built environment is still in its nascent stages and there is a need to understand the advances in the underlying enabling technologies and establish a convergent context for ongoing and future research. This paper conducted a systematic review to identify the development of the emerging technologies facilitating the evolution of BIM to Digital Twins in built environment applications. A total of 100 related papers including 23 review papers were selected and reviewed. In order to systematically classify the reviewed studies, the authors developed a five-level ladder categorization system based on the building life cycle to reflect the current state-of-the-art in Digital Twin applications. In each level of this taxonomy, applications were further categorized based on their research domains (e.g., construction process, building energy performance, indoor environment monitoring). In addition, the current state-of-art in technologies enabling Digital Twins was also summarized from the reviewed literature. It was found that most of the prior studies conducted thus far have not fully exploited or realized the envisioned concept of the Digital Twin, and thus classify under the earlier ladder categories. Based on the analysis of the reviewed work and the trends in ongoing research, the authors propose a concept of an advanced Digital Twin for building management as a baseline for further studies.

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“…Their purpose is to create a complete replica or digital twin of any given built asset, which could act as a substitute or replacement of the latter in several processes. The concept of digital twin has gradually become commonplace jargon among AEC/FM practitioners due to a combination of technology push and market pull [10]- [15], but it has not reached yet the same maturity in the context of the built environment as in the manufacturing and production disciplines [16]- [19], where the bulk of digital twin literature can be found [20], [21]. As a result, the term is still lightly used, even if industry actors do not fully understand its technical and managerial implications.…”

Section: Introductionmentioning

confidence: 99%

Seven Metaphors to Understand Digital Twins of Built Assets

Camposano

Smolander

Ruippo³

2021

IEEE Access

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Digital twins have raised the attention of practitioners in the fields of Architecture, Engineering and Construction, and Facilities Management (AEC/FM). The term broadly refers to the cyber part of cyber-physical systems used for representing and managing real-world assets. This qualitative study explores how Finnish AEC/FM practitioners describe digital twins of assets in the built environment. Our findings are primarily derived from the interpretive analysis of semi-structured interviews with project managers and C-level executives during 2018 and 2019. The results of this analysis are discussed within the existing literature about digital twins, complex software ecosystems, and Service-Dominant (S-D) logic. We observed that digital twins were often explained using simple metaphors that could be easily understood by practitioners. We identified seven of such metaphors, each associated with a key attribute of digital twins. We argue that digital twins are the basis of complex software ecosystems, resulting from the increased expectations of AEC/FM stakeholders about the role of Building Information Modeling and other software solutions in their daily operations. Under an S-D logic perspective, digital twins are a resource applied by multiple interdependent actors to integrate information, co-create value for their entire network, and jointly deliver new products or services.

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SPHERE: BIM Digital Twin Platform

Cited by 42 publications

References 6 publications

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

From BIM to digital twins: a systematic review of the evolution of intelligent building representations in the AEC-FM industry

Seven Metaphors to Understand Digital Twins of Built Assets

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