Using AI to predict disruptions to critical infrastructure before all the lights go out.
Increased energy demand in disaster situations, planning for replacement of regular infrastructures in case of maintenance or supporting existing regulations for critical infrastructures with AI, these are targets for the development of the PAIRS platform. Specifically, the goal is to be able to forecast disruptions before all the lights go out.
To this end, existing and currently detected fault data from network operators are linked with other external data (weather, traffic, natural disaster monitoring, etc.) in order to be able to predict new faults. This gives operators an overarching overview and enables them to manage crises dynamically.
The findings and recommendations from the PAIRS platform are also ideally suited for use in other crisis scenarios, e.g., in hospitals or supply chains, in order to prepare for emergencies in good time.
Benefit from active project participation with many advantages
The joint project PAIRS is funded as an AI lighthouse project within the framework of the “Innovation Competition Artificial Intelligence” by the Federal Ministry of Economics and Climate Protection (BMWK).
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