A Resilient Solution for Sewer Overflow Monitoring across Cloud and Edge
A new research paper details a web-based demonstrator for monitoring sewer overflows, integrating deep learning models for forecasting. This system is designed to operate resiliently across both cloud and edge computing environments, ensuring functionality even during network outages. The demonstrator aims to help anticipate capacity exceedance in combined sewer systems, enabling timely preventive actions against overflows. AI
IMPACT Provides a novel application of deep learning for environmental monitoring and resilience.