Ervin Alla
Web-Based IFC Application for Infrastructure Models: Enhancing User Interaction Through Natural Language Processing.
Rel. Anna Osello, Elisa Stradiotto, Nicola Rimella. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Edile, 2024
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (3MB) | Preview |
Abstract
Building Information Modeling (BIM) has revolutionized the Architecture, Engineering, Construction, and Operations (AECO) industry by providing a more collaborative approach to planning, designing, and managing building projects. Among the various standards used in BIM, Industry Foundation Classes (IFC) stand out as a vital open BIM standard by promoting interoperability across different software applications and enabling continuous data exchange throughout a project's lifecycle. As infrastructure projects grow in complexity, more sophisticated tools are being developed to improve model visualization and user interaction, especially in web-based environments. This thesis addresses this need by developing and evaluating a web-based IFC viewer adapted for infrastructure models.
By leveraging cutting-edge open-source JavaScript libraries and Natural Language Processing (NLP) technologies, the proposed solution enhances visualization and user interaction within BIM workflows
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
URI
![]() |
Modifica (riservato agli operatori) |
