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.

Designing an extended reality platform to optimise operation and maintenance for dynamic building envelopes

Pracucci, Alessandro
Primo
Investigation
;
2026

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.
2026
Pracucci, Alessandro; Giovanardi, Matteo; Zara, Alessandro
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2633672
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