ExcaSafeZone

4TU Delft
4TU Eindhoven
4TU Twente
4TU Wageningen

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. 

Team:

University of Twente
Dr. Ir. Léon olde Scholtenhuis, Dr. Farid Vahdatikhaki

Delft University of Technology
Dr. Dipl.-Ing. Sisi Zlatanova 

Eindhoven University of Technology
Dr. Dipl.-Ing Jakob Beetz

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. 

Team:

University of Twente
Dr. Ir. Léon olde Scholtenhuis, Dr. Farid Vahdatikhaki

Delft University of Technology
Dr. Dipl.-Ing. Sisi Zlatanova 

Eindhoven University of Technology
Dr. Dipl.-Ing Jakob Beetz

ExcaSafeZone

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. 

Team:

University of Twente
Dr. Ir. Léon olde Scholtenhuis, Dr. Farid Vahdatikhaki

Delft University of Technology
Dr. Dipl.-Ing. Sisi Zlatanova 

Eindhoven University of Technology
Dr. Dipl.-Ing Jakob Beetz

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. 

Team:

University of Twente
Dr. Ir. Léon olde Scholtenhuis, Dr. Farid Vahdatikhaki

Delft University of Technology
Dr. Dipl.-Ing. Sisi Zlatanova 

Eindhoven University of Technology
Dr. Dipl.-Ing Jakob Beetz