High fragmented and hardly accessible information often leads to struggling management of diffused assets. BIM and GIS integration is promising to develop effective digital Asset Management Systems (AMS) to facilitate information sharing and collaborative management. This paper presents a replicable methodological approach to develop a pilot BIM-GIS, web-based AMS for the University of Turin. The main aim is to overcome document-based and fragmented management, avoiding ineffective decisions during the operational and maintenance phase. The key step of integrating data from several heterogeneous sources in an accessible, centralized database is deep in described. Furthermore, two demonstrators are illustrated, discussing the first results and AMS potentials.

Data integration through a BIM-GIS web platform for the management of diffused university assets / Meschini, Silvia; Accardo, Daniele; Avena, Marco; Seghezzi, Elena; Tagliabue, Lavinia Chiara; Di Giuda, Giuseppe Martino. - ELETTRONICO. - (2022). (Intervento presentato al convegno 2022 European Conference on Computing in Construction tenutosi a Ixia, Rhodes, Greece nel July 24-26, 2022) [10.35490/EC3.2022.217].

Data integration through a BIM-GIS web platform for the management of diffused university assets

Avena,Marco;Di Giuda,Giuseppe Martino
2022

Abstract

High fragmented and hardly accessible information often leads to struggling management of diffused assets. BIM and GIS integration is promising to develop effective digital Asset Management Systems (AMS) to facilitate information sharing and collaborative management. This paper presents a replicable methodological approach to develop a pilot BIM-GIS, web-based AMS for the University of Turin. The main aim is to overcome document-based and fragmented management, avoiding ineffective decisions during the operational and maintenance phase. The key step of integrating data from several heterogeneous sources in an accessible, centralized database is deep in described. Furthermore, two demonstrators are illustrated, discussing the first results and AMS potentials.
2022
978-88-7590-226-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2971798