| KEYWORD |
Predictive maintenance for building lighting systems with BIM and IoT
keywords BIM, IOT, FACILITY MANAGEMENT, DIGITAL TWIN
Reference persons VALENTINA VILLA
External reference persons Dario Antonelli, Giulia Bruno, Paolo Piantanida
Thesis type M.SC.
Description IoT data collection system set-up for predictive maintenance management of a lighting installation.
Real-time data analysis and visualisation using a dashboard with BIM model.
Notes The work is embedded within a research group that will provide all the necessary skills to learn the basics of IoT and sensor technology needed for the development of the thesis.
Deadline 11/10/2023
PROPONI LA TUA CANDIDATURA