Energy
enterpriseTarget: Electrical Grid Operator
If you are a grid operator dealing with vegetation overgrowth causing blackouts — this project developed a Vegetation Monitoring Product that predicts future impacts to prevent outages.
EOinTime · Project
AI-Powered Satellite Monitoring for Infrastructure Grid Risk Prediction and Damage Detection
energyMarket-readyTRL 9
Imagine having a security camera in space that doesn't just watch, but remembers and predicts. It tracks how trees grow near power lines or how the ground shifts over years to warn you before a break happens. When a storm hits, it instantly spots exactly where the damage is so crews don't have to hunt for it.
By the numbers
1,735,300
EU Contribution in EUR
The business problem
What needed solving
Infrastructure operators struggle to monitor vast networks for slow-onset risks like vegetation growth or sudden disasters like storms, often relying on expensive manual inspections.
The solution
What was built
A suite of four cloud-based monitoring products using SAR and optical satellite data, integrated into web and mobile apps that generate actionable work orders.
Audience
Who needs this
Power grid operatorsRailway network managersPipeline operatorsGovernment disaster response units
Business applications
Who can put this to work
Civil Engineering
enterpriseTarget: Railway Infrastructure Manager
If you are a rail manager dealing with unstable soil or landslides — this project developed a Ground Deformation Monitoring Product that detects slow movements to prevent derailments.
Emergency Management
anyTarget: Disaster Response Agency
If you are a response agency dealing with storm damage assessment — this project developed a Rapid Response Insights Product that quickly identifies the location and extent of damage.
Frequently asked
Quick answers
What is the cost or pricing model for these services?
Based on available project data, specific pricing is not mentioned, but the services are delivered via cloud-based web and mobile apps.
Can this be scaled to monitor entire national grids?
Yes, the project uses satellite data and automated cloud processing pipelines to provide end-to-end monitoring for infrastructure networks.
Who owns the IP or how is the licensing handled?
The project was coordinated by LiveEO GmbH, who developed proprietary end-user applications and AI-based change detection algorithms.
How does the system integrate with existing maintenance workflows?
The system translates satellite insights into specific work orders for problem-specific actions based on client-defined thresholds.
How quickly can the system detect a storm's impact?
The project focused on near real-time monitoring and rapid change detection to quickly assess damage locations.
Consortium
Who built it
The project is led by a single SME, LiveEO GmbH, with a 100% industry ratio. This indicates a highly commercial focus where the research is directly integrated into a company's product line rather than shared across academic institutions.
How to reach the team
Contact LiveEO GmbH in Germany for product inquiries.
Next steps
Talk to the team behind this work.
Contact us to find similar satellite-based monitoring solutions for your assets.
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