Safety and Civil Protection Engineering

The course aims to provide students with the knowledge necessary to prepare construction sites in a BIM environment. It will provide useful tools for using advanced digital technologies to identify the most appropriate and functional interventions based on the characteristics of the site, taking into account new technologies and current regulations. Students will use advanced digital tools, such as BIM, to digitally represent the site area under study and perform an initial analysis of the same, also developing skills in the field of the Internet of Things and Artificial Intelligence to lay the foundations for the creation of a Digital Twin. Technologies for real-time data acquisition and monitoring via IoT sensors will be addressed, which will allow information on environmental parameters (e.g. IAQ, RH and T) to be collected. The use of artificial intelligence will lay the foundations for the development of both automation systems and predictive capabilities for the structures under study. The course will include an in-depth study of various technologies for sustainable building production, both in terms of the materials used and the associated construction techniques, in compliance with the CAM (Minimum Environmental Criteria) criteria set out in current legislation. Particular attention will also be paid to the analysis of DNSH (Do Not Significant Harm) methodologies applied to construction, as well as LEED and WELL protocols, with the aim of immersing students in the concrete landscape of international design. Through the combined use of BIM, IoT and AI, the Digital Twin system will be addressed, which among other things is capable of collecting data in real time.