Reduce Combined Sewer Overflows (CSOs)
Due to reduced peak flows. Pro-active warning about CSO spills – anomaly detection, machine learning using neural networks.
Sewr in brief
Prevent pollution events and avoid regulatory penalties
Actionable insights of the sewer network enable mitigation measures to be put in place ahead of high water level events.
Improved operations and network performance
Machine learning and AI provide actionable insights into the sewer network.
Efficient maintenance scheduling
Allow condition-based maintenance, support investment decisions, increase equipment lifecycle.
Detect blocked sewers and prevent flooding, unconsented spills and high pentalties
Aqua Suite Sewr is an advanced system that uses machine learning and AI to provide actionable insights into the sewer networks. Developed to supply useful information for wastewater network operators, it provides two key insights into the sewer network. Firstly, it predicts high levels within the next 48-hour period and secondly, it detects anomalous levels. Predictions of high levels from deep learning and rainfall forecast mean that wastewater operators can provide timely warnings of unavoidable pollution events, such as CSO spills, to their stakeholders and community.
This allows for mitigation measures and minimises environmental impact. The anomaly detection facility uses machine learning models to enable operators to detect sewer blockages, such as fatbergs. The system uses an AI algorithm to compare real time data from field sensors, with an augmented real time prediction of levels. Any discrepancies indicate an up or downstream blockage.
Prediction of high levels in the sewer network within the next 48 hours
With predictions of high levels of wastewater, utilities can provide proactive warning to their community and stakeholders that unavoidable pollution events may occur in the near future (for example, CSO spills). This allows mitigating actions to be taken and ensures danger to the environment is minimised.
Anomaly detection in the sewer network
The anomaly detection feature provides the ability to detect blockages in sewers (such as fatbergs) by using an AI algorithm to compare real time data from field sensors, with an augmented real time prediction of levels. Discrepancies indicate an up or downstream blockage.
