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Filtering by Author: Léon olde Scholtenhuis
This project focuses on assessing the constructability of energy networks. It builds an overview of data needs and rules that can be integrated in digital systems to perform such checks.
Read MoreExcavation damages are viewed from different perspectives. Operational workers close to the trench have a different perception of how these damages can be prevented (or sometimes justified) compared to managers and clients who work at offices and are mere distant from the construction site. What influences these perspectives? And how does their background play a role? This M.Sc. research sheds light on this dynamic to gain insights into thought and work processes.
Read MoreThis project aimed to support the detection of risky excavation operations based on historical datasets of damages in the Netherlands. Jiarong Li developed, using XGBoost, a data-driven model that predicted the likelihood of damage occurring in an excavation polygon. The Dutch agency Kadaster uses such polygons to exchange data on utility locations between network owners and excavator operators.
The machine learning model had a satisfactory performance with an AUC-ROC score of 0.821 and a balanced accuracy of 0.743.
Read MoreThis study aims to predict the likelihood of overshooting costs in utility streetworks projects, using historical project data and open datasets.
Read MoreThe Smart Utility Registration project explored the generation and the processing of 3D models of open trenches where new utilities were constructed. The method developed to generate 3D models facilitates the location and registration process of underground utilities. This brings the philosophy closer by to collect “from the Trench and store it directly in GIS”.
Read MoreThis study focuses on translating the underground spatial impact of redevelopments in public space, related to heat transition, electric grid upgrading, and climate resilience.
Read MoreUtility lines can be extracted from point clouds to support further 3D modelling and mapping. Doing this manually is time consuming, Jorn Kruiper investigated how to use machine learning for this task.
Read MoreTo scale up city district heating construction projects, processes need to be developed and reliable. Currently teams largely rely on experience and improvisation, making them skilled in troubleshooting, but less efficient in planning and anticipating disruptions. This thesis has explored anticipation and containment through the lens of HRO
Read MoreSmart Utility Registration aims to develop a method for scanning trench data in more automated ways. It mobilizes off-the-shelf (preferably open sources) technologies to register deployed cables/pipelines. Currently, this process is laborious and involves many different workers, while new technology might enable direct registration by the jobsite crew.
Read MoreUtiilty construction projects make the transition from being supported by only 2D towards 3D information models. Currently, however, no means exists to support the specification of both semantic as visual information for such networks. The goal of this study therefore to develop a Level of Development (LOD)-framework to support this emerging practice.
Read MoreThis project ran from 2019-2021 and resulted in a prototype Decision Support System, which provides decision-makers with insight in the optical fiber deployment process as well as the results of operational changes they may wish to make
Read MoreThis project developed a roadmap that captures developments that influence subsurface vocational education, and a prototype e-learning training for field workers that intend to apply the ground penetrating radar for utility mapping (which is a tool that is not applied in the Netherlands at standard practice).
Read MoreThis project is aims to validate the developed CityGML Utility ADE Operations and Maintenance data model. To this end Federico encoded the UML diagram (concept model) and implemented this as relational database tables in a PostGreSQL and PostGIS environment.
Read MoreThis study explores the state-of-practice in 3D modelling at a mid-sized Utility Contractor.
Read MoreCollaboration with Australian Pipeline Sector. Assessing the feasibility and effectiveness of pipeline intrusion avoidance solutions and providing context-specific decision support for selection.
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