Case Study: Anglian Water achieves proactive sewer monitoring and blockage prevention with StormHarvester

Anglian Water boosts proactive blockage clearance by 418% with StormHarvester

Anglian Water faced the challenge of detecting sewer blockages only after they had caused pollution or flooding incidents. They needed a proactive, scalable solution to identify developing blockages early and prioritize high-risk areas. To address this, they partnered with vendor StormHarvester and its analytics platform as part of their Dynamic Sewer Visualisation programme.

StormHarvester implemented its machine learning platform and deployed over 50,000 sensors across Anglian Water's network. This solution provided actionable insights that enabled proactive intervention. The results were significant, with StormHarvester's platform achieving a 70% hit rate on predicted blockages and identifying 5,123 proactive blockage jobs. This led to a 418% increase in proactive clearance, preventing incidents in hundreds of high-risk locations and establishing a new data-driven way of working.

Anglian Water