The research focuses on an approach for the development of an automated workflow in the field of fire prevention for the validation of BIM models regarding “Subjected Activities” (according to Italian law - Presidential Decree 151/2011), with reference to the contents of the Horizontal Technical Regulation of the Fire Prevention Code. In fact, since 2019, the Italian Fire Department, through the Fire Digital Check project, is seeking to digitize the Fire Prevention Code in order to allow professionals to integrate their BIM models with the objectives required by the fire regulations. The workflow proposed involves three distinct processes, integrating them within a single workflow: study of the technical regulations and transposition into the digital environment using proven methods such as RASE, Tx3 and TIO, information modelling of a case study and implementation of validation algorithms using Solibri software. One of the main points of the proposed process is to use an open and interoperable format such as that offered by the IFC schema for the information exchange between the different software involved
Building Information Modelling applied to civil infrastructure has opened up interesting scenarios for integrated management of existing infrastructural works. In the last few years Bridge Management System (BMS) have been increasingly used by infrastructure owners, based on different control systems: from stochastic methods, which make it possible to define a condition ratio (CR) starting from periodic inspections of bridges, to sensors for structural monitoring, which can originate a flow of information exchange between real artifacts and the digital model capable of activating effective reactive or planned responses in the operation and maintenance phase of the asset. The paper intends to outline a BIM-oriented process workflow, which from the creation of parametric objects for infrastructural works using Scan-to-BIM acquisition techniques and procedures, arrives at the implementation of information bridge models to manage both static data from scheduled inspections of technicians of defects and their severity according to specific guidelines, and dynamic data from incoming and outgoing sensors placed in the physical asset for real time monitoring towards analysis, supervision and control systems of the facilities owner. The defined process workflow will be applied to some case studies, related to bridges of different characteristics, outlining some directions for future developments. In detail the research showcases the tasks undertaken and the outcomes achieved on four selected bridge case studies, which are real and situated within the geographical area of the Tuscany region, Italy. The studied bridges are all still in use and hold historical significance, as they were constructed between two hundred and one hundred years ago
In recent years, Facility Management has undergone significant technological and methodological advancements, primarily driven by Building Information Modelling (BIM), Computer-Aided Facility Management (CAFM), and Computerized Maintenance Management Systems (CMMS). These innovations have improved process efficiency and risk management. However, challenges remain in asset management, maintenance, traceability, and transparency. This study investigates the potential of blockchain technology and non-fungible tokens (NFTs) to address these challenges. By referencing international (ISO, BOMA) and European (EN) standards, the research develops an asset management process model incorporating blockchain and NFTs. The methodology includes evaluating the technical and practical aspects of this model and strategies for metadata utilization. The model ensures an immutable record of transactions and maintenance activities, reducing errors and fraud. Smart contracts automate sub-phases like progress validation and milestone-based payments, increasing operational efficiency. The study’s practical implications are significant, offering advanced solutions for transparent, efficient, and secure Facility Management. It lays the groundwork for future research, emphasizing practical implementations and real-world case studies. Additionally, integrating blockchain with emerging technologies like artificial intelligence and machine learning could further enhance Facility Management processes.
Abstract. The implementation of geometric, alphanumerical and documentary data within BIM models is opening up interesting scenarios in the integrated management of existing infrastructure works. In particular, data from the application of sensors for structural monitoring of historic bridges can originate a flow of information exchange between real artifacts and Digital Twin capable of activating effective reactive or planned responses in the operation and maintenance phase of the asset by the facility manager. This paper intends to outline a BIM-oriented process workflow, which from the creation of parametric objects for infrastructural works using Scan-to-BIM acquisition techniques and procedures, arrives at the implementation of models aimed at the management of data from incoming and outgoing sensors towards analysis, supervision and control systems of the facilities organization. The case study of the Toppoli Bridge over the Arno River along the S.P. 64 road in the Province of Arezzo (IT), an artifact dating back to the early decades of the 1900s and built using traditional construction techniques and recently subject to renovation, is addressed. The experience conducted has highlighted how the BIM methodology for information management of existing assets, effectively responds to the current needs of monitoring and control of historical infrastructure assets, being able to integrate with multiple information management systems of the facilities organization, as well as the latest AI and AR technologies.
La verificación del grado de accesibilidad de la red de recorridos peatonales, integrados a los servicios y a las funciones presentes en el territorio al que pertenecen, es un tema que puede ser tratado en diferentes áreas disciplinares según el valor y el significado que se le quiera dar al articulado y complejo concepto de accesibilidad en sí mismo, (Tocci, 2010). En particular, si se quiere analizar la accesibilidad de una red peatonal, o el nivel de facilidad de uso, comodidad, atractivo, en la que el usuario es definido por el código de circulación como usuario débil2, es necesario evaluar las características intrínsecas del recorrido en relación con la condición del tipo de usuario, verificando las condiciones de conflicto ambiental presentes en los recorridos.La problemática relacionada con la accesibilidad de las redes de recorridos, es un tema de gran relevancia relacionado con la necesidad de promover el tráfico peatonal de las personas y así reducir el tráfico vehicular en los barrios urbanos. Como parte del diseño y control de los recorridos, es necesario verificar el nivel de accesibilidad, a través de sistemas integrados capaces de combinar aspectos geográficos y de desempeño. La contribución de este artículo ilustra una metodología desarrollada en el ámbito de la verificación de la accesibilidad peatonal, en un sistema ambiental delimitado y regulado como es un parque natural.
The research focuses on an approach for the development of an automated workflow in the field of fire prevention for the validation of BIM models regarding “Subjected Activities” (according to Italian law - Presidential Decree 151/2011), with reference to the contents of the Horizontal Technical Regulation of the Fire Prevention Code. In fact, since 2019, the Italian Fire Department, through the Fire Digital Check project, is seeking to digitize the Fire Prevention Code in order to allow professionals to integrate their BIM models with the objectives required by the fire regulations. The workflow proposed involves three distinct processes, integrating them within a single workflow: study of the technical regulations and transposition into the digital environment using proven methods such as RASE, Tx3 and TIO, information modelling of a case study and implementation of validation algorithms using Solibri software. One of the main points of the proposed process is to use an open and interoperable format such as that offered by the IFC schema for the information exchange between the different software involved
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."
Building Information Modelling applied to civil infrastructure has opened up interesting scenarios for integrated management of existing infrastructural works. In the last few years Bridge Management System (BMS) have been increasingly used by infrastructure owners, based on different control systems: from stochastic methods, which make it possible to define a condition ratio (CR) starting from periodic inspections of bridges, to sensors for structural monitoring, which can originate a flow of information exchange between real artifacts and the digital model capable of activating effective reactive or planned responses in the operation and maintenance phase of the asset. The paper intends to outline a BIM-oriented process workflow, which from the creation of parametric objects for infrastructural works using Scan-to-BIM acquisition techniques and procedures, arrives at the implementation of information bridge models to manage both static data from scheduled inspections of technicians of defects and their severity according to specific guidelines, and dynamic data from incoming and outgoing sensors placed in the physical asset for real time monitoring towards analysis, supervision and control systems of the facilities owner. The defined process workflow will be applied to some case studies, related to bridges of different characteristics, outlining some directions for future developments. In detail the research showcases the tasks undertaken and the outcomes achieved on four selected bridge case studies, which are real and situated within the geographical area of the Tuscany region, Italy. The studied bridges are all still in use and hold historical significance, as they were constructed between two hundred and one hundred years ago
