AI-Powered Dashboard Monitors Sewer Overflows Across Cloud and Edge
A web-based demonstrator has been created by researchers, incorporating deep learning forecasting techniques for combined sewer overflow (CSO) monitoring in both edge and cloud environments. This interactive dashboard is engineered to withstand network disruptions, tackling the increasing pressure on outdated combined sewer systems in historic urban areas as a result of severe rainfall. The dashboard predicts the filling patterns of overflow basins, allowing for the anticipation of capacity breaches and facilitating prompt preventive measures. An online video presentation is accessible for viewing.
Key facts
- System integrates deep learning forecasting in cloud and edge settings
- Designed to be resilient to network outages
- Addresses aging combined sewer systems stressed by extreme rainfall
- Forecasts filling dynamics of overflow basins
- Enables timely preventive actions for CSO
- Web-based demonstrator available at https://example.com
- Video showcase available online
- Focus on environmental and public health impacts
Entities
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