LAPSE:2023.13275v1
Published Article

LAPSE:2023.13275v1
Extended Reality for Smart Building Operation and Maintenance: A Review
March 1, 2023
Abstract
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.
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.
Record ID
Keywords
augmented reality, building operation and maintenance, digital twins, extended reality, immersive technologies, metaverse, mixed reality, virtual reality
Subject
Suggested Citation
Casini M. Extended Reality for Smart Building Operation and Maintenance: A Review. (2023). LAPSE:2023.13275v1
Author Affiliations
Casini M: Department of Planning, Design, and Technology of Architecture (PDTA), Sapienza University of Rome, 00185 Roma, Italy
Journal Name
Energies
Volume
15
Issue
10
First Page
3785
Year
2022
Publication Date
2022-05-20
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15103785, Publication Type: Review
Record Map
Published Article

LAPSE:2023.13275v1
This Record
External Link

https://doi.org/10.3390/en15103785
Publisher Version
Download
Meta
Record Statistics
Record Views
249
Version History
[v1] (Original Submission)
Mar 1, 2023
Verified by curator on
Mar 1, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.13275v1
Record Owner
Auto Uploader for LAPSE
Links to Related Works
