SenSiteUQ Intelligent Sensor Placement for Smarter Sewer Systems

Описание: 🎤Speaker🎤
Ethan Hargrove
Machine Learning Engineer
digiLab

https://www.digilab.co.uk/sectors/water

💡Abstract💡
The widespread deployment of sensors in sewer networks is transforming water system management, driven by stricter regulations and falling sensor costs. By 2030, over 300,000 sensors are expected to be installed in the UK alone, enabling breakthroughs in critical areas such as CSO overflow prevention, blockage detection, and predictive maintenance. However, this ambitious undertaking comes with significant cost and complexity.
To address these challenges, digiLab presents senSiteUQ—a cutting-edge tool for intelligent sensor placement in drainage networks. This cloud-based software integrates sewer models, event data, and surface conditions to optimise sensor placement strategies tailored to specific objectives. With a user-friendly interface and multi-objective optimisation capabilities, senSiteUQ empowers water industry professionals to design cost-effective and high-performance monitoring systems with confidence.
Join us to explore how senSiteUQ can reshape sewer network monitoring, delivering smarter solutions for a sustainable future.

✨About Ethan Hargrove ✨
Ethan Hargrove is a Machine Learning Engineer at digiLab specialising in optimal control and sensor placement optimisation across the water and fusion industries. As the technical lead for senSiteUQ, he spearheads the development of this specialised tool for intelligent sensor placement in water networks.