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These is a first list of potentially relevant data types that the team composed. This list will be reviewed during four upcoming workshops at the SOMA College (an excavator training school) and HZC (professional organization for excavator operators).
Project duration: Jan 2017 - Mar 2018
Dr. Léon olde Scholtenhuis (University of Twente)
Dr. Farid Vahdatikhaki (University of Twente)
Dr. Sisi Zlatanova (TU Delft)
Dr. Jakob Beetz (Eindhoven University of Technology)
Dr. Pieter Pauwels (University of Gent)
In collaboration with:
Municipality of Rotterdam
ExcaSafeZone’s objective is to develop an automated system that generates excavation safety maps to enable urban planners, contractors and excavator operators to make more informed decisions about where and how to conduct excavation activities safely. We propose using the promising Linked Data techniques to integrate relevant data sources from public agencies and the web (e.g. Cadastral maps, utility maps, images, soil information, height maps, and historical information). Next, we consult experts to define logical rules for extraction of safety risk information from the linked data. The linked data combined with expert knowledge help define the safety levels for excavation activities on a particular construction site. Eventually, this culminates in a prototype system that creates Excavation Safety Zones based on available linked data, contributing to better excavation planning and, reduction of excavation damage.