Sewer Monitoring and Management in the Digital Era (2023–2028)
Abstract:
Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current
sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions
require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and
machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proactive
sewer management including network-wide real-time control. The project aims to generate significant social,
environmental and economic benefits by enabling utilities to better protect public an