63 publications from this institution
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".
L'articolo illustra i contenuti dei progetti premiati nell'ambito del concorso Città Accessibili 2025
Il piano d’abbattimento delle barriere architettoniche e uno strumento metaprogettuale, necessario ad avviare procedure coordinate, per eseguire gli interventi di “attenuazione” dei conflitti uomo-ambiente. E’ quindi il preludio, la base, sulla quale iniziare tutte quelle azioni di “design urbano” che mirano ad interventi piu o meno dedicati. La metodologia illustrata, ha proprio come obbiettivo generale, quello di produrre conoscenza al fine di poter iniziare concretamente le azioni di progettazione in grado di mirare all’innalzamento della qualita della rete di servizi, tempi e occasioni che la citta offre, partendo dalle necessita di chi maggiormente richiede attenzioni, per giungere a definire risposte, capaci di garantire il quadro associante a cui mira una citta solidale e quindi accessibile. Secondo questa visione, il piano e cosi strumento, trasversale, di analisi e verifica, necessario per alfabetizzare, utenti e gestori della citta ad una cultura dell’accessibilita. Cultura sempre piu necessaria per una citta moderna nel aspetto piu allargato del termine.
The operational phase of a real estate asset accounts for approximately 80% of the overall investment and management costs throughout the entire life cycle of the building, and the activities of space management and monitoring of building components and systems play a crucial role in ensuring the well-being and health of users. The AECO (Architecture, Engineering, Construction, and Operation) industry is transitioning towards a new framework governed by data-driven processes. In this context, Building Information Modeling (BIM) can support the utilization of big data generated throughout different stages of the building's life cycle, thereby establishing itself as a dynamic repository of information at the center of a constellation of systems used by a Facility Management body to achieve specific objectives (such as CAFM, ERP, BMS, etc.). The proposed study aims to define a processing framework for the collection and management of data aimed at the implementation of DT of existing real estate assets, created based on the integration between BIM platforms and IoT technology oriented to subsequent developments of big data analytics and AI applications. The objective is to support in the operational phase of buildings the decisions of the various operators involved in planning scheduled and/or corrective maintenance actions and to generate content, recommendations, best practices by formulating predictive analysis on managed assets. In particular, a critical analysis is made of the various approaches available for the definition of an IT architecture to support IoT reference models, which will find application in the monitoring of some existing assets of the University of Florence's real estate managed by the Building Area, digitally implemented on a BIM platform. The contribution is part of a broader research activity carried out as part of the PNR Project, "BIM2DT. BIM-to-Digital Twin: information management to support decision-making in the building life cycle."
The interoperability of the tools for managing and controlling the design process is one of the themes on which research and innovations are focussed in the field of BIM (Building Information Modelling) systems. A strategic objective of the STREAMER research, co-funded by the European Union within the context of the Seventh Framework Programme, is that of defining the tools and methods of designing hospital buildings that allow for a 50% reduction in energy consumption and emissions in large healthcare districts. Contributing to the achievement of this result is the creation of integrated tools, based on BIM and GIS systems, capable of providing an effective backup to the decisions of the various subjects involved in the project and the management of hospital complexes.
