Abstract:Recently, internet of things (IoT) technologies have progressed, but IoT maintenance applications are not widespread in Japan yet because of insufficient analyses of real-time situations and the high costs of configuring failure detection rules and collecting sensing data. In this paper, using lambda architecture concept, we propose a maintenance platform on which edge nodes analyze sensing data, detect anomalies and extract a new detection rule in real time, and a cloud orders maintenance automatically.
I4.0 revolution is permeating every technical sector, by promoting deployment of enabling technologies (ETs), also in the facility management (FM) discipline. As FM regards the integration of processes within an organization to support activities, it is clear how ETs can trigger, in the FM area, significant innovations like a better failure knowledge management and a sustainable use of resources. More specifically, the implementation in building maintenance of dynamic systems, linked to sensors networks, can allow changes into knowledge management and FM decision-making processes. Starting from these premises, the paper deals with an ongoing research, whose aim is to investigate how ETs may innovate the traditional maintenance strategies with new approaches in corrective, condition-based and predetermined maintenance. According to the above, building maintenance, which is traditionally reactive, may actually become proactive if failure management policy is set. The aim of this paper is to demonstrate how ETs adoption may promote innovation in FM processes focusing on maintenance in service equipment field. More specifically, an operative and methodological framework for reaching proactive maintenance is described through the support of a case study concerning two major healthcare infrastructures in Italy, managed by a major FM company.
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