Optimized data connection for a BIM-GIS based university asset management system

In large universities’ asset management, the lack of accessible connected data is frequently the root of information gaps. The paper investigates the optimization of data connection throughout a web-based platform exploiting BIM-GIS integration and Business Intelligence Tools. Data connections in BIM were managed through visual programming language with customized nodes, exploited for assigning parameters to categories, comparing parameter lists, and connecting data to modeled elements. GIS enables data visualization of the university asset and queries at the urban scale. The platform based on data integration provides an efficient asset management system with easily updatable information about buildings, spaces, and uses.