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            Chapter Development of an Automated Workflow in the Field of Fire Prevention Using Building Information Modeling

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            Author(s)
            Sparacino, Marco
            Donato, Vincenzo
            Bongini, Andrea
            Language
            English
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            Abstract
            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
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/176349
            Keywords
            fire prevention; BIM; validation; code checking; digitization; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization
            DOI
            10.36253/979-12-215-0289-3.44
            ISBN
            9791221502893
            Publisher
            Firenze University Press
            Publisher website
            www.fupress.com/
            Publication date and place
            Florence, 2023
            Series
            Proceedings e report,
            Pages
            12
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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