Project | Paderborn University

Overview

Project vision

CREXDATA's vision is to develop a data platform for real-time critical situation management. This should also enable flexible action planning and agile decision making on data of extreme size and complexity. Within CREXDATA, algorithms, software architectures, and tools are being developed for networked predictive analytics and forecasting under uncertainty. Proactive decision making is supported through the developed framework. Highly accurate and transparent short- and long-term predictions will be deployed for various stakeholders based on advanced visual analytics and real-time visualizations. Off- and on-site augmented reality applications are expected to be particularly helpful.

CREXDATA in action

In cooperation with 14 European partners, we are working together on solutions for a secure future. Critical situations are simulated using three application scenarios as examples to test the CREXDATA system. The Chair of Product Development is coordinating the development of a demonstrator system for coping with extreme weather-related hazards. Among other things, rescue robots and services of the European Copernicus system are used.

Program: Horizont Europe - Data

Motivation

Critical situations arise in very different areas. In mechanical engineering, for example, maintenance is characterized by the need to resolve a plant standstill with a precise search for the cause and rapid initiation of measures. Disaster management is another prime example where people have to make decisions under uncertain conditions. Economic, social and environmental impacts are to be reduced or even avoided altogether. Emergencies on the high seas, fires and floods on land, or global health crises also require informed decisions. Such situations are characterized, among other things, by the fact that the effectiveness of decision alternatives cannot be completely foreseen. Data, which are increasingly available, should help. One challenge, however, is that they are often available in extreme forms - incomplete, heterogeneous, distributed and difficult to understand are just some of the attributes that apply here.

Key Facts

Grant Number:: 101092749

Research profile area:: Intelligent Technical Systems

Project type:: Research

Project duration:: 01/2023 - 12/2025

Funded by:: EU

Websites:: Projektseite des Fachgebietes
CORDIS

More Information

Principal Investigators

Dr.-Ing. Jens Pottebaum

Faculty of Mechanical Engineering

About the person

Prof. Dr. Iris Gräßler

Produktentstehung / Heinz Nixdorf Institut

About the person

Marcel Ebel, M.Sc.

Produktentstehung / Heinz Nixdorf Institut

About the person

Project Team

Dr.-Ing. Jens Pottebaum

Faculty of Mechanical Engineering

About the person

Marcel Ebel, M.Sc.

Produktentstehung / Heinz Nixdorf Institut

If you have any questions about this project, contact us!

Dr.-Ing. Jens Pottebaum

Faculty of Mechanical Engineering

Akademischer Oberrat - Vertiefungsberatung Ingenieurinformatik (Ba/Ma)

+49 5251 60-6258 F0.319

Publications

Uncovering Impact of Innovation: Continuous Stakeholder Engagement through Scenario-based Systems Engineering

J. Pottebaum, M. Ebel, I. Gräßler, in: B. Penkert, B. Hellingrath, M. Rode, A. Widera, M. Middelhoff, K. Boersma, M. Kalthöner (Eds.), Proceedings of the 21st ISCRAM Conference (ISCRAM 2024), ISCRAM, 2024.

DOI

Extending the application of simulation from preparedness to response use cases in weather-induced emergencies

J. Pottebaum, M. Ebel, I. Gräßler, in: Mensch Und Computer 2024 - Workshopband, Gesellschaft für Informatik e.V., Berlin, 2024.

DOI

Augmented Reality for Real-Time Decision-Making in Flood Emergencies

I. Safranoglou, A. Stavroulakis, J. Pottebaum, M. Ebel, G. Lamprinakis, D. Dimelli, K. Mania, in: 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), IEEE, 2024.

DOI

Weather-induced emergency situations: Extreme data in situational awareness and visualisation

I. Gräßler, J. Pottebaum, M. Hieb, S. Pratzler-Wanczura, O. Krüger, I. Kruijff, N. Rupp, in: B. Bernsdorf (Ed.), Proceedings of the Days of Security Research 2023, Technische Hochschule Georg Agricola, Bochum, 2024.

Model-based planning of test cases and test scenarios to support engineering of Cyber-Physical Systems

I. Gräßler, M. Ebel, J. Pottebaum, in: 2024 IEEE International Symposium on Systems Engineering (ISSE), IEEE, 2024.

DOI

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More information about the project:

Projektseite des Fachgebietes

CORDIS