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Authors
Abstract(s)
A presente dissertação centra-se no desenvolvimento e aplicação de uma estratégia integrada
de digitalização e modelação de infraestruturas ferroviárias, orientada para a criação de digital
twins. A abordagem proposta envolve dois eixos principais: i) a integração normalizada de
resultados laboratoriais em modelos digitais e ii) o desenvolvimento semiautomático de
modelos ferroviários paramétricos para suporte à gestão. Pretende-se estabelecer um pipeline
replicável que una captura e organização de dados, interoperabilidade e visualização,
preparando a ligação futura a dados operacionais em tempo real.
A metodologia proposta combina aquisição e preparação de dados geoespaciais (QGIS com
OpenStreetMap e Modelos digitais do terreno), verificação altimétrica, simplificação e
segmentação do traçado, modelação paramétrica no Autodesk Civil 3D e enriquecimento
semântico, culminando na integração em plataformas GIS. Na aplicação associada ao projeto
BIM4LAB, os ensaios de materiais são estruturados, normalizados e ligados a elementos do
modelo através de identificadores consistentes, permitindo dashboards 3D e navegação técnica
em Power BI. Na aplicação associada ao projeto NRPCES, o troço estudado da Linha de Leixões
demonstra o desenvolvimento célere de um modelo coerente, com associação de atributos
técnicos e enquadramento territorial. Os casos de estudo evidenciam ganhos em acessibilidade,
rastreabilidade e eficiência, bem como a maturação das bases necessária para futuros digital
twins. Ficam fora do âmbito desta dissertação a visualização analítica dedicada ao DT e a ligação
a dados operacionais.
This thesis focuses on the development and application of an integrated strategy for the digitalisation and modelling of railway infrastructures aimed at creating digital twins. The approach combines two complementary axes: (i) the standardised integration of laboratory test results into digital models and (ii) the semi-automatic development of parametric railway models to support asset management. The goal is to establish a replicable pipeline that unifies data capture and organisation, interoperability and visualization, paving the way for future connections to real-time operational data. The proposed methodology combines the acquisition and preparation of geospatial data (QGIS with OpenStreetMap and Digital Terrain Models), altimetric verification, alignment simplification and segmentation, parametric modelling in Autodesk Civil 3D, and semantic enrichment, culminating in integration into GIS platforms. In BIM4LAB, laboratory test data are structured, standardised, and linked to model elements through consistent identifiers, enabling 3D dashboards and technical navigation in Power BI. In NRPCES the selected section of the Leixões Line demonstrates the rapid development of a coherent model, with associated technical attributes and territorial context. The case studies demonstrate improvements in accessibility, traceability, and efficiency, as well as the consolidation of the foundations needed for future digital twins. The implementation of dedicated DT analytical visualization and realtime data connectivity is outside the scope of this thesis.
This thesis focuses on the development and application of an integrated strategy for the digitalisation and modelling of railway infrastructures aimed at creating digital twins. The approach combines two complementary axes: (i) the standardised integration of laboratory test results into digital models and (ii) the semi-automatic development of parametric railway models to support asset management. The goal is to establish a replicable pipeline that unifies data capture and organisation, interoperability and visualization, paving the way for future connections to real-time operational data. The proposed methodology combines the acquisition and preparation of geospatial data (QGIS with OpenStreetMap and Digital Terrain Models), altimetric verification, alignment simplification and segmentation, parametric modelling in Autodesk Civil 3D, and semantic enrichment, culminating in integration into GIS platforms. In BIM4LAB, laboratory test data are structured, standardised, and linked to model elements through consistent identifiers, enabling 3D dashboards and technical navigation in Power BI. In NRPCES the selected section of the Leixões Line demonstrates the rapid development of a coherent model, with associated technical attributes and territorial context. The case studies demonstrate improvements in accessibility, traceability, and efficiency, as well as the consolidation of the foundations needed for future digital twins. The implementation of dedicated DT analytical visualization and realtime data connectivity is outside the scope of this thesis.
Description
Keywords
Digital Twin BIM IFC Interoperability Railway Power BI Interoperabilidade Ferrovia