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Development of a BIM and IoT-Based Smart Lighting Maintenance System Prototype for Universities' FM Sector
| Content Provider | MDPI |
|---|---|
| Author | Fialho, Beatriz Campos Codinhoto, Ricardo Fabricio, Márcio Minto Estrella, Júlio Cezar Ribeiro, Cairo Mateus Neves Bueno, Julio Mendonça dos Santos Torrezan, João Pedro Doimo |
| Copyright Year | 2022 |
| Description | Reactive maintenance (RM) is a core service of the operation and maintenance (O&M) phase, the most prolonged and costly within the building lifecycle. RM is characterised by inefficient asset information and communication management, impacting critical FM problems and users’ experience. Building information modelling (BIM) and Internet of things (IoT) has enabled the development of digital twins, moving facilities management (FM) from a reactive approach towards a predictive one. Although previous studies have investigated the application of such technologies to FM, there is a lack of understanding on procedural issues related to its implementation in FM and RM. This research aimed to characterise strategies and decisions involved in prototyping a BIM and IoT-based smart-lighting maintenance system and identify its potential impacts on universities’ maintenance processes. The adopted research strategy and data collection methods involved prototyping, questionnaires, and interviews. The results show a high level of complexity in converging maintenance needs and technological abilities for FM and the importance of procedures and standards at organisational and industry levels. Moreover, it evidenced that the automation of functions and the centralisation of information enabled by BIM and IoT can optimise service provision, generate environmental and efficiency gains, and improve users’ safety and satisfaction. |
| Starting Page | 99 |
| e-ISSN | 20755309 |
| DOI | 10.3390/buildings12020099 |
| Journal | Buildings |
| Issue Number | 2 |
| Volume Number | 12 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-01-20 |
| Access Restriction | Open |
| Subject Keyword | Buildings Information and Library Science Facilities Management Predictive Maintenance Building Information Modelling Internet of Things Digital Twin University Campus Public Sector |
| Content Type | Text |
| Resource Type | Article |