Jul 2026· Journal of Facade Design and Engineering· 0 citations· 22 references
TL;DR
The design phase of an Extended Reality (XR)-based platform aimed at optimising operation and maintenance for dynamic building envelopes is presented, which uses cloud architecture and consumer smart devices to deliver scalable, cost-effective maintenance workflows with XR technology.
Abstract
This paper presents the design phase of an Extended Reality (XR)-based platform aimed at optimising operation and maintenance for dynamic building envelopes. The proposed solution addresses the growing need for advanced facility management tools that support energy performance and operational efficiency throughout the building lifecycle. The platform integrates heterogeneous data sources, including Building Information Modelling (BIM), Internet of Things (IoT) sensors, and Digital Product Passports (DPPs), to enable real-time fault detection, remote technical assistance, and enhanced communication between key actors. Built on user story methodologies, the platform uses cloud architecture and consumer smart devices to deliver scalable, cost-effective maintenance workflows with XR technology. In addition, Artificial Intelligence (AI) capabilities are integrated to support historical data analysis and automated reporting generation. Preliminary platform validations in real-world environments have demonstrated encouraging results in terms of increased building intelligence, maintenance operation efficiency, and user satisfaction.
Building maintenance is essential for sustaining operational efficiency and asset longevity, yet many organizations still rely on manual, fragmented processes. This study presents an integrated methodology that combines Building Information Modelling (BIM) with a custom desktop application to automate maintenance sched...
Ahmed E. Mansour, M. Elbehery, S. A. Ibrahim et al.· IOP Conference Series: Earth...· 0 citations
This framework proves an autonomous decision-making system that organically links inspection data with maintenance regulations by transforming static, manual-labor-centered maintenance workflows into intelligent automated models and increases the efficiency of railway infrastructure management while providing a scalabl...
Minjae Jeon, Yong-Gyun Kim, Seok-Han Kim· Smart Cities· 0 citations
A framework for enabling AR-based assistance as a human-centric complement to existing railway maintenance practices is proposed and indicates the feasibility of AR-based assistance as a human-centric complement to existing railway maintenance practices, while motivating further refinement and evaluation in operational...
Parul Khanna, P. Tretten, Ramin Karim· IEEE Access· 0 citations
A Digital Twin-Driven Full Lifecycle O and M Framework (DT-FLOM) for smart production lines, encompassing four phases: virtual commissioning, real-time operational monitoring, predictive maintenance and health management, and continuous performance optimization is proposed.
Yue-Jun Li, Gui-Lan Xiao· Digital Signal and Computer...· 0 citations
Manufacturing systems increasingly require real-time performance monitoring and data-driven optimization to reduce downtime, stabilize quality, and support flexible production. Although Internet of Things (IoT) and Industrial Internet of Things (IIoT) technologies have been widely discussed in smart manufacturing, exis...
Sami Gazem Abdullah Thabet, M. Amrani· 2026 6th International Confe...· 0 citations
This study aims to implement an Edge-IoT-based real-time predictive maintenance service platform to effectively support the full life cycle of maintenance, repair, and operation(MRO) for a hybrid regenerative thermal oxidizer(RTO). In distributed operating environments where remote RTO facilities and centralized monito...
M. Jang, H. Park, Dal-Hwan Yoon et al.· Forum of Public Safety and C...· 0 citations
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