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AI Helps South West Water Prevent Hundreds of Sewage Spills
30 Sep, 2025
Summary
- AI analyzes data from 12,000 sensors to predict sewer blockages
- System has prevented around 200 pollution incidents
- Part of plan to improve environmental performance after "requires improvement" rating

As of September 30th, 2025, South West Water has been utilizing an innovative AI system to predict and prevent sewer blockages, which has led to a significant reduction in pollution incidents. The AI analyzes data from 12,000 sensors across the company's network, monitoring water levels and flow patterns to identify potential blockages before they cause overflows.
According to project leaders, the AI-powered system has already prevented an estimated 200 pollution incidents. "It gives us an extra 12,000 pairs of eyes on our network," said Helen Dobby, head of environmental performance at South West Water. The trial is part of the company's broader Pollution Incident Reduction Plan, which aims to improve its environmental performance after receiving a "requires improvement" rating from the utility regulator.
In addition to the sewer monitoring, the AI is also being used to process hours of CCTV footage of the sewage infrastructure, helping to quickly identify defects or blockages in the waste water pipes. "It's much faster at doing the mundane tasks it would take people on site a lot of time to do," explained Joshua Myrans, a data scientist at South West Water.
The AI-driven initiatives are a crucial step in South West Water's efforts to raise its environmental standards and address the issues that led to a £24 million enforcement package earlier this year, following a three-year investigation by the regulator Ofwat.