Crisis situations such as the COVID 19 pandemic have an impact on diverse areas of social and economic life. This inevitably means that crisis management for certain domains also has an impact on other domains. If the measures are then regularly adapted and optimised, scenarios arise that are difficult to manage. The technology developed in PAIRS is intended to anticipate both the initial crisis event and the reactions of various actors in a cross-domain data space in order to provide decision-makers with targeted recommendations for action.
In the project, a distributed platform based on cloud technologies is being developed for this purpose, on which data suppliers and providers of (AI) services come together via a marketplace. "PAIRS" focuses on exemplary applications from the domains of healthcare, energy supply and logistics/supply chains/production. In addition to OFFIS, the project consortium brings together renowned experts in AI research, cloud technology, disaster relief, sensor technology, medical, production and industrial technology: Advaneo GmbH (project coordination), FIR e.V. at RWTH Aachen University, the Fraunhofer Institute for Manufacturing Engineering and Automation (IPA), Bisping Medizintechnik GmbH, German Research Centre for Artificial Intelligence (DFKI), IBM Deutschland GmbH, SICK AG, Chair of Legal Informatics at Saarland University, Tiplu GmbH and the Federal Agency for Technical Relief.
The "energy supply" use case
OFFIS is investigating the use case "energy supply" in the project: While the use of a broad database for recognising the network status in transmission networks is state of the art, cooperation in the distribution network is currently still made difficult by the fragmented information situation. Within the framework of the project, the evaluation of distributed data of the distribution grid operators for the detection of exceptional and crisis situations in the distribution grid is therefore to be demonstrated.
For this purpose, OFFIS is developing a prototypical GAIA-X data node, with which an integrated database of historical, topological and current information will be made available. AI-based risk forecasts on the availability and reliability of the power supply enable OFFIS to contribute to the support of quantitative risk assessment for sectors particularly affected by interruptions in the power supply (especially in healthcare and industry).
The integration of the findings from "PAIRS" into the GAIA-X infrastructure enables access to the developed methods and data for a broad (specialist) public. On this basis, further services for SMEs can then be developed in the future to further tap the potential of networked data.
"PAIRS" is being funded as an AI lighthouse project within the framework of the "Innovation Competition for Artificial Intelligence" by the Federal Ministry of Economics and Climate Protection (BMWK) with around 10 million €. It is coordinated by Advaneo GmbH.
Further information on the project: https://www.pairs-projekt.de/