BIM-Based Digital Twin and XR Devices to Improve Maintenance Procedures in Smart Buildings: A Literature Review

Coupry, Corentin; Noblecourt, Sylvain; Richard, Paul; Baudry, David; Bigaud, David

doi:10.3390/app11156810

Cited by 130 publications

(74 citation statements)

References 79 publications

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“…Architecture and engineering design [17,21,23,[29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46] Building construction [17,[20][21][22][23][24][25]27,[29][30][31][47][48][49][50][51][52][53][54][55][56] Building operation and management [17,18,21,23,26,28,54, Selected articles concerning XR application in building operation and management were further divided into VR and AR/MR categories, each articulated in different domains according to their possible use in building facility management as shown in Table…”

Section: Xr Application Field Selected Articlesmentioning

confidence: 99%

“…Zhu et al [26] presented a state-of-the-art review of the application of virtual and augmented reality technologies for emergency management in built environments, while Li et al [27] reviewed VR and AR applications in construction safety. Coupry et al [28] presented a study on how XR technologies combined with digital twin technology can improve the maintenance operations in smart buildings. Noghabaei et al [29] investigated the trends in AR/VR technology adoption in the AEC industry by conducting two user surveys in 2017 and 2018 involving 158 industrial experts.…”

Section: Introductionmentioning

confidence: 99%

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Extended Reality for Smart Building Operation and Maintenance: A Review

Casini

2022

Energies

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The operation and maintenance (O&M) of buildings and infrastructure represent a strategic activity to ensure they perform as expected over time and to reduce energy consumption and maintenance costs at the urban and building scale. With the increasing diffusion of BIM, IoT devices, and AI, the future of O&M is represented by digital twin technology. To effectively take advantage of this digital revolution, thus enabling data-driven energy control, proactive maintenance, and predictive daily operations, it is vital that smart building management exploits the opportunities offered by the extended reality (XR) technologies. Nevertheless, in consideration of the novelty of XR in the AECO sector and its rapid and ongoing evolution, knowledge of the specific possibilities and the methods of integration into the building process workflow is still piecemeal and sparse. With the goal to bridge this gap, the article presents a thorough review of virtual reality (VR), augmented reality (AR), and mixed reality (MR) technologies and applications for smart building operation and maintenance. After defining VR, AR, and MR, the article provides a detailed review that analyzes, categorizes, and summarizes state-of-the-art XR technologies and their possible applications for building O&M along with their relative advantages and disadvantages. The article concludes that the application of XR in building and city management is showing promising results in enhancing human performance in technical O&M tasks, in understanding and controlling the energy efficiency, comfort, and safety of building and infrastructures, and in supporting strategic decision making for the future smart city.

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Section: Xr Application Field Selected Articlesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Extended Reality for Smart Building Operation and Maintenance: A Review

Casini

2022

Energies

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“…It seems clear that the COVID-19 pandemic has significantly affected the research, and made distant traveling and personnel-intensive activities difficult. Therefore, online platforms and cloud storage services were developed to meet various kinds of requirements [5,[15][16][17][18], such as PetroBIM [19], Web BIM3D [20], and ARK-BIM [21].…”

Section: Review Of Related Workmentioning

confidence: 99%

Remote Practice Methods of Survey Education for HBIM in the Post-Pandemic Era: Case Study of Kuiwen Pavilion in the Temple of Confucius (Qufu, China)

Wang

2022

Applied Sciences

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The Field Trip for Measured Survey of Built Heritage carried out by Tianjin University every summer aims to educate students in each practice session, i.e., on-site data acquisition, condition investigation, classification of the component library, taking observation notes, and accomplishing HBIM deliverables. Under the risks posed by the ongoing COVID-19 pandemic, the students could not leave the campus as a provisional arrangement. Only a team of five people was allowed to visit the Kuiwen Pavilion in the Temple of Confucius (Qufu, China). Therefore, the field trip for students had to be replaced with remote solutions, which consists of the following methods: on-site data acquisition; post-processing; online education, observation, modeling, delivery. Kuiwen Pavilion in the Temple of Confucius is a library with the official architectural style of the Ming and Qing Dynasties (14th to 20th century), for which building regulations are commonly recognized, and are suitable for survey education. In this context, this article focuses on the remote practice methods applied and tested throughout the case study. During the practice of the course, students who managed to finish the course, through the virtual tours and other online methods, finally achieved delivery of the HBIM models.

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“…BIMs are semantically rich information models of buildings that can be used to easily visualize the 3D representation of the building along with key properties of the different components and systems. They have also been used to assimilate changes made to the physical building, and in turn, act as a guide during building design, construction and maintenance operations [15]. Structural health modeling is also a salient example of digital twin use for maintenance, repair and operations (MRO) of structures [5,16,67,54].…”

Section: Aerospacementioning

confidence: 99%

The Digital Twin Landscape at the Crossroads of Predictive Maintenance, Machine Learning and Physics Based Modeling

Kunzer¹,

Bergés²,

Dubrawski³

2022

Preprint

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The concept of a digital twin has exploded in popularity over the past decade, yet confusion around its plurality of definitions, its novelty as a new technology, and its practical applicability still exists, all despite numerous reviews, surveys, and press releases. The history of the term digital twin is explored, as well as its initial context in the fields of product life cycle management, asset maintenance, and equipment fleet management, operations, and planning. A definition for a minimally viable framework to utilize a digital twin is also provided based on seven essential elements. A brief tour through DT applications and industries where DT methods are employed is also outlined. The application of a digital twin framework is highlighted in the field of predictive maintenance, and its extensions utilizing machine learning and physics based modeling. Employing the combination of machine learning and physics based modeling to form hybrid digital twin frameworks, may synergistically alleviate the shortcomings of each method when used in isolation. Key challenges of implementing digital twin models in practice are additionally discussed. As digital twin technology experiences rapid growth and as it matures, its great promise to substantially enhance tools and solutions for intelligent upkeep of complex equipment, are expected to materialize.

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BIM-Based Digital Twin and XR Devices to Improve Maintenance Procedures in Smart Buildings: A Literature Review

Cited by 130 publications

References 79 publications

Extended Reality for Smart Building Operation and Maintenance: A Review

Extended Reality for Smart Building Operation and Maintenance: A Review

Remote Practice Methods of Survey Education for HBIM in the Post-Pandemic Era: Case Study of Kuiwen Pavilion in the Temple of Confucius (Qufu, China)

The Digital Twin Landscape at the Crossroads of Predictive Maintenance, Machine Learning and Physics Based Modeling

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