Predicting Cost Overruns in Utility Streetworks
Léon olde Scholtenhuis
This study aims to predict the likelihood of overshooting costs in utility streetworks projects, using historical project data and open datasets.
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Smart Utility Registration
Léon olde Scholtenhuis
The 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 MoreImpact of Spatial Transitions on Subsurface
Léon olde Scholtenhuis
This study focuses on translating the underground spatial impact of redevelopments in public space, related to heat transition, electric grid upgrading, and climate resilience.
Read MoreExploring and supporting Ground Penetrating Radar Deployment
Guest User
Therefore, Dutch law (WIBON) mandates practitioners to reduce the uncertainty in the information about the subsurface situation through the process of utility surveying. One of the most promising non-disruptive methods is the Ground Penetrating Radar (GPR). GPR is a geophysical method that uses electromagnetic waves to investigate the subsurface. This study aims to explore, explain and support the decision making between trial trenches and GPR as a utility surveying method by developing, implementing and evaluating a Decision Support Tool.
Read MoreData-Driven Prediction and Reduction of Excavation Damages
Léon olde Scholtenhuis
|| Organisation: Kadaster + Agentschap Telecom + KPN
P.D.Eng Jiarong Li
Update: July 2022
Workflow of the generation of KLIC Schaderapport
This project aims at providing strategies to reduce damages on underground pipelines and cables caused by excavation works. The objective is to develop a data-driven model or platform to predict the damage caused by construction work. This project takes the hypothesis that the (spatial) data and historical damage data might be able to explain partially the causes of damage to utilities
In the problem investigation step, we gain an understanding of the phenomenon of excavation process and underground utility, and explore causal factors of utility damages, through a literature review, interviews and workshops with experts.
I next steps, we will collect datasets of excavation damage, underground network and other geo-data from Kadaster KLIC and other organizations. Statistica analysis reveals the patterns in damage data can be investigated, and we consecutively build a model to predict excavation damages using data mining techniques like machine learning. From a practical viewpoint this (may) lead(s) to identification of sensitive factors found can contribute to providing strategies to reduce damages.
Approach: DM-Cycle
Smart Utility Registration
Léon olde Scholtenhuis
Smart 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 MoreOptimising Optical Fiber Network Deployment
Léon olde Scholtenhuis
This 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 MoreUncovering the future needs for subsurface education
Léon olde Scholtenhuis
This 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 MoreValidation and testing ground for ground penetrating radar systems
Guest User
Although the advent of GPR started in the field of geoscience, it is gradually utilized in civil engineering disciplines. GPR data quality depends on various software, hardware, and other factors. The main aim of the project is to develop a GPR validation method to find out under what condition it can successfully detect specific types of utility and what is the accuracy, reliability, and repeatability.
Read MoreImproved strategies, logic and decision support for selecting test trench locations.
Guest User
While digging test trenches is relatively conventional, is the reasoning concerning the locations mostly implicit, unclear en not documented. This project is about improving the decision process for the selection of the locations of test trenches.
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