1. Building Information Modelling and Internet of Things Integration for Facility Management—Literature Review and Future Needs
- Author
-
Fulvio Re Cecconi, Mario Claudio Dejaco, and Antonino Mannino
- Subjects
Computer science ,Process (engineering) ,020209 energy ,0211 other engineering and technologies ,Scopus ,02 engineering and technology ,cyber-physical systems ,lcsh:Technology ,facility management ,lcsh:Chemistry ,Facility management ,digital twin ,021105 building & construction ,0202 electrical engineering, electronic engineering, information engineering ,General Materials Science ,Architecture ,Instrumentation ,lcsh:QH301-705.5 ,Built environment ,Fluid Flow and Transfer Processes ,Building Information Modelling (BIM) ,Internet of Things (IoT) ,Data collection ,business.industry ,lcsh:T ,Process Chemistry and Technology ,General Engineering ,Cyber-physical system ,lcsh:QC1-999 ,Computer Science Applications ,Engineering management ,Building information modeling ,lcsh:Biology (General) ,lcsh:QD1-999 ,lcsh:TA1-2040 ,business ,lcsh:Engineering (General). Civil engineering (General) ,lcsh:Physics - Abstract
Digitisation of the built environment is seen as a significant factor for innovation in the Architecture, Engineering, Construction and Operation sector. However, lack of data and information in as-built digital models considerably limits the potential of Building Information Modelling in Facility Management. Therefore, optimisation of data collection and management is needed, all the more so now that Industry 4.0 has widened the use of sensors into buildings and infrastructures. A literature review on the two main pillars of digitalisation in construction, Building Information Modelling and Internet of Things, is presented, along with a bibliographic analysis of two citations and abstracts databases focusing on the operations stage. The bibliographic research has been carried out using Web of Science and Scopus databases. The article is aimed at providing a detailed analysis of BIM–IoT integration for Facility Management (FM) process improvements. Issues, opportunities and areas where further research efforts are required are outlined. Finally, four key areas of further research development in FM management have been proposed, focusing on optimising data collection and management.
- Published
- 2021