USE CASES

Weather emergencies use case

The Crexdata Weather-Induced Emergencies Use Case (EmCase) leverages cutting-edge technology to mitigate the impact of natural disasters, such as urban flooding and wildfires. These events have devastating effects globally, the EmCase focuses on real-time data, advanced simulations, and AI-driven tools to provide critical decision-making support.

EmCase Publications

Real-Time Event Forecasting and Simulation

  • Urban Flooding Simulation with FloodWaive
    • Processes weather forecasts into real-time 2D flood simulations.
    • Predicts flooding scenarios and suggests optimized barrier heights to reduce impact.
  • Wildfire Simulation with Spark
    • Provides fire propagation models based on wind, humidity, and terrain data.
    • Outputs include fireline intensity, flame height, and potential spread.
    • Facilitates rapid response through visualized projections of fire behavior.

Augmented Reality (AR) for Emergency Management

  • Flood Response:
    • Visualizes flood levels, flow direction, and danger zones using HoloLens.
    • Real-time routing integration with Mapbox and Kafka for enhanced navigation and safety.
    • Interactive maps and uncertainty indicators aid decision-makers with color-coded risk visualization.
  • Wildfire Response:
    • Displays fire spread projections, team locations, and POIs in AR.
    • Incorporates live weather data for real-time adjustments to firefighting strategies.
    • Improves depth perception for better situational awareness during firefighting efforts.

Federated Machine Learning and UAV Applications

  • Interactive UAV Modeling:
    • Combines UAV-captured 3D models with simulations for real-time updates.
    • Supports decision-making by merging real and simulated data for better route planning in urban floods.
  • Mental Fatigue Monitoring for Rescuers:
    • Uses eye-tracking and machine learning to assess fatigue in real-time.
    • Ensures task allocation aligns with cognitive states for improved safety.

AI and Text Mining for Emergency Insights

  • Real-Time Social Media Monitoring:

    • Multilingual text mining extracts critical information during crises.
    • Predicts event types (e.g., flood, fire) with high accuracy using machine learning models.
    • Integrates with ARGOS to display geolocated insights for immediate action.

  • Enhanced Decision Support:

    • Provides summaries of critical developments via question-answering systems.
    • Explores unsupervised clustering techniques to improve information accuracy.

Other Use Cases

Health crisis

Pillar II - Climate

Maritime

Pillar III - Urgent computing for natural hazards