Case Study: Wessex Water achieves early blockage detection and 97% fewer control room alerts with StormHarvester

Wessex Water detects 60+ early blockages in 3 months with StormHarvester

Wessex Water, a utility serving 2.8 million people in South West England, faced the challenge of predicting sewer blockages to prevent costly pollution and flooding events. Their existing sensor network generated overwhelming alarm noise during wet weather, making it difficult to differentiate between normal operations and genuine problems. They initiated a smart sewer trial, and StormHarvester was selected to deploy its Intelligent Sewer Suite to use AI for early blockage detection and smarter alarm rationalization.

StormHarvester implemented its AI-powered solution using Wessex Water's existing sensors without requiring new hardware. The system provided real-time alerts for early blockage formations and predicted sewer levels. The results were highly successful: StormHarvester detected over 60 blockages in real-time, prevented at least two significant pollution incidents, and achieved a 92% alert accuracy rate. Crucially, the solution demonstrated it could reduce control room alarms by 97%, allowing operational crews to focus on proactive, condition-based maintenance.

Wessex Water