Development of a BIM and IoT-based Smart Lighting Maintenance System prototype for universities FM sector

Beatriz Fialho, Ricardo Codinhoto, Marcio Fabricio, Julio Cezar Estrella, Cairo Ribeiro, Julio Bueno, Joao Torrezan

Research output: Contribution to journalArticlepeer-review

9 Citations (SciVal)


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’ expe-rience. Building Information Modelling (BIM) and Internet of Things (IoT) has enabled the de-velopment 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 universi-ties’ maintenance processes. The adopted research strategy and data collection methods involved prototyping, questionnaires, and interviews. The results show a high level of complexity in con-verging 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 pro-vision, generate environmental and efficiency gains, and improve users’ safety and satisfaction.
Original languageEnglish
Article number99
Issue number2
Publication statusPublished - 28 Feb 2022

Bibliographical note

Funding Information:
Funding: This research was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil (CAPES)—Finance Code 001 and Grant No. 88881.188668/2018-01, the Conselho Nacional de Desenvolvimento Científico e Tecnológico—Brazil (CNPq)—Grant No. 306185/2015-6, and used the computational resources of the Center for Mathematical Sciences Applied to Industry (CeMEAI) funded by the Fundação de Amparo à Pesquisa do Estado de São Paulo—Brazil (FAPESP)— Grant No. 2013/07375-0.


  • Building information modelling
  • Digital twin
  • Facilities management
  • Internet of things
  • Predictive maintenance
  • Public sector
  • University campus

ASJC Scopus subject areas

  • Architecture
  • Civil and Structural Engineering
  • Building and Construction


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