Real estate asset operations typically represent around 80% of investment and management costs, with space management and system monitoring being crucial for user well-being.The AECO industry is moving towards a data-driven model, combining various type of data from various sources. In addition, the inclusion of sensor systems in buildings is leading to a shift towards a distributed semantic approach, requiring a deeper understanding of reality and the ability to link different ontologies from various fields. So, the need to address challenges such as data interoperability, integration of different semantic domains, and improvement of information exchange processes has recognized semantic web technologies as a powerful tool for enhancing the value of BIM models by facilitating data integration and enabling the application of complex queries across multiple data sources. The proposed paper aims to analyze the state of art about IoT and semantic web technologies, and their possible integration in a BIM environment to aid decision-making in building maintenance. It will provide a first ongoing approach for the digitalization of the assets managed by the University of Florence's Building Area. The study shows the two different workflows set up to connect BIM models with sensor data. The first one involved the use of DTH22 environmental sensors integrated through Node-Red to the open source platform Snap4City for data management; the second one involved the installation of LORAWAN sensors within a building and the use of a property platform, Niagara Tridium, for data manipulation and sampling to be convolved within a BMS platform. The work is part of a larger EU Next Generation research project titled, "BIM2DT. BIM-to-Digital Twin: information management to support decision-making in the building life cycle".

This paper presents a mobile app called “Careggi Smart Hospital” which has been developed for the Careggi Polyclinic in Florence. The application is designed for Android smartphones and tablets and it is freely downloadable from the Google Play Store. It provides various useful tools to the hospital's users such as personnel and structures finding, way-finding and the possibility to access personal medical records collected on regional electronic health record.

Hospitals include a variety of different spaces with different requirements and levels of sensitivity to noise but also different activities and equipment that can cause high noise levels. In this article, noise disturbance in hospitals is studied with reference to a case study in a maternity ward. The analysis is carried out by means of sound insulation measurements between bedrooms and between bedroom and corridor. Equivalent sound pressure level measurements were carried out continuously for two days and nights. The number of awakening events is examined for each hour of the two nights. In addition, the results of a questionnaire conducted on more than 100 patients are reported. The results of the study show that the main cause of noise disturbance is activity in the corridors and that this kind of disturbance is usually repeated throughout the night. This is made more critical by the poor acoustic performance of the doors, but also by the habit of keeping doors open or half-open to allow doctors to always control patients. The article proposes some possible solutions to reduce noise intrusion from the corridor to the rooms.