Resilience of the built environment, particularly in complex buildings, is strictly related to the effectiveness of systems and sub-systems that provide the expected features to manage risk scenarios in routine and nonroutine conditions. In this perspective, maintenance is therefore a key factor to assure building resilience by keeping systems and equipment in the required operational state. Risk management can be empowered if system resilience and disruptive events are monitored in real-time, and, to this aim, proactive maintenance can nowadays monitor systems resilience with innovative digital tools.More specifically, proactive maintenance, through Industry 4.0 (I4.0) tools, can enact control strategies for mitigating both endogenous riskssuch as equipment failure, aging and obsolesce not always deeply investigated in building sectorand exogenous risks.Anticipation of disruptive events of systems and control of endogenous risks is possible thanks the introduction of IoT and machine learning tools which may allow to modify the traditional corrective maintenance in the direction of a proactive maintenance approach.Aim of this paper is to highlight how proactive maintenance approach, if fully implemented, and supported by I4.0 tools, can empower resilience of systems in the building sector.
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