RT Dissertation/Thesis
T1 Civil works, operation and maintenance of urban infrastructure
T2 Obra civil, operaciones y mantenimiento de infraestructuras urbanas
A1 Rashdi , Rabia
K1 3305 Tecnología de la Construcción
K1 3305.06 Ingeniería Civil
AB Intelligent Infrastructure is based on digitalization and Big Data solutions for smart mobility. The key factor for smart infrastructures is the predictive maintenance based on connected and digitalized infrastructures. Recently, the concept of building information modelling (BIM) has gained a lot of attention in civil engineering and asset management industries. One of the main challenges faced in Scan to BIM is lack of interoperability. IFC, the final standard, is still limited to major transportation structures (tunnels, rail, roads, and bridges). Therefore, information exchange and standard management protocols is important for the successful implementation of BIM in transport infrastructure.The main aim of this project is to make to make compatible 3D LiDAR point clouds of different nature independently of the capture device used. Automatic compressed data processing and data mining techniques will be developed for the monitoring and extraction of relevant semantic information existing in the transport infrastructure, which will be used as base to build BIM for infrastructure. In the end of the project, the automatic IFC for infrastructure model should allow to analyze the performance, carry out a predictive analysis, test scenarios and review the planned maintenance of the linear structures. So, this should arise as key component of any Intelligent Infrastructure systems mainly for Smart Mobility and Smart Logistics
LK http://hdl.handle.net/11093/6277
UL http://hdl.handle.net/11093/6277
LA eng
DS Investigo
RD 15-sep-2024