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Your search keyword '"Fonsati, Arianna"' showing total 6 results
Start Over Author "Fonsati, Arianna" Topic interoperability
6 results on '"Fonsati, Arianna"'

1. OpenBIM Methods and Tools for Schedule and Cost Management

Author

Fonsati, Arianna, Osello, Anna, De Marco, Alberto, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, O. Gawad, Iman, Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Rodrigues, Hugo, editor, Gaspar, Florindo, editor, Fernandes, Paulo, editor, and Mateus, Artur, editor

Published
2021
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2. From Geotechnical Data to GeoBIM Models: Testing Strategies for an Ex-Industrial Site in Turin.

Author

Fonsati, Arianna, Cosentini, Renato Maria, Tundo, Chiara, and Osello, Anna

Subjects
ANALYTIC hierarchy process, BUILDING information modeling, GEOLOGICAL modeling, DATA modeling, WORKFLOW management systems, WORKFLOW
Abstract

Over the years, the use of Building Information Modelling (BIM) methods has changed the workflows of various actors, providing better integration across different domains and allowing for new ways of working. This paper outlines the interest towards the integration of BIM with geotechnical/geological modelling (GeoBIM), which still represents a major challenge in several respects. The present study aims to provide a flexible method for assessing various integration strategies and to establish a preferred workflow based on the selected requirements and preference parameters. This integration is designed to provide a final federated model that can also be archived in the as-built documentation. Four alternative processes were selected to analyse the specific types of data and transformations required in the process. Each process was applied on a real case study in order to test the developed assessment framework using the Analytical Hierarchy Process (AHP). Due to technological advances, modelling and integration workflows change rapidly; however, our results show that the proposed evaluation framework is universal and adaptable to any new integration approach. Further research efforts must be undertaken to reduce attribute data losses and enhance the interoperability between systems and professionals. [ABSTRACT FROM AUTHOR]

Published
2023
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5. District data management, modelling and visualization via interoperability

Author

Matteo Del Giudice, Anna Osello, Arianna Fonsati, Daniela De Luca, Alberto Musetti, Francesca Marchi, Edoardo Patti, Francesco Brundu, Andrea Acquaviva, DEL GIUDICE, MATTEO, OSELLO, Anna, FONSATI, ARIANNA, DE LUCA, DANIELA, Musetti, Alberto, Marchi, Francesca, PATTI, EDOARDO, BRUNDU, FRANCESCO GAVINO, and ACQUAVIVA, ANDREA

Subjects
Middleware, District Information Modelling, Energy efficiency, Geographic Information System, Data Visualization, Smart City, Virtual Reality, Building Information Modelling, BIM, Energy Consumption, GIS, Interoperability, Smart City, Building Information Modelling, BIM, Geographic Information System, GIS, District Information Modelling, Data Visualization, Virtual Reality, Interoperability, Middleware, Energy efficiency, Energy Consumption
Abstract

Data management has been one of the most interesting research fields within the smart city framework over the last years, with the aim of optimizing energy saving at district level. This topic involves the creation of a 3D city model considering heterogeneous datasets, such as Building Information Models (BIMs), Geographical Information Systems (GISs) and System Information Models (SIMs), taking into account both buildings and the energy network. Through the creation of a common platform, the data sharing was allowed starting from the needs of the users, such as the public administrator, the building manager and the energy professional. For this reason, the development of a District Information Modelling (DIM) methodology for the data management, related to the energy saving and CO2 emission, is considered the focus of this paper. It also presents a specific tool developed for the comparison of energy data in a selected district: the Benchmarking Tool.

Published
2017

6. District data management, modelling and visualization via interoperability

Author

DEL GIUDICE, Matteo, Osello, Anna, Fonsati, Arianna, DE LUCA, Daniela, Musetti, Alberto, Marchi, Francesca, Patti, Edoardo, Brundu, F R A N C E S C O G A V I N O, and Acquaviva, Andrea

Subjects
Middleware, Geographic Information System, Data Visualization, Virtual Reality, Energy Consumption, Architectural Engineering, GIS, Interoperability, District Information Modelling, Energy efficiency, Arkitekturteknik, Smart City, Building Information Modelling, BIM
Abstract

Data management has been one of the most interesting research fields within the smart city framework over the last years, with the aim of optimizing energy saving at district level. This topic involves the creation of a 3D city model considering heterogeneous datasets, such as Building Information Models (BIMs), Geographical Information Systems (GISs) and System Information Models (SIMs), taking into account both buildings and the energy network. Through the creation of a common platform, the data sharing was allowed starting from the needs of the users, such as the public administrator, the building manager and the energy professional. For this reason, the development of a District Information Modelling (DIM) methodology for the data management, related to the energy saving and CO2 emission, is considered the focus of this paper. It also presents a specific tool developed for the comparison of energy data in a selected district: the Benchmarking Tool. QC 20230706

Published
2017

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