Aquasuite - Model Sewer -Detects Blocked Sewers To Prevent Flooding, Unconsented Spills And High Penalties
Aquasuite SEWR uses machine learning & AI to provide actionable insights on sewer networks. It is the newest module of Aquasuite and was developed to provide useful information for wastewater network operators. SEWR provides two key insights: 1. Prediction of high levels in the sewer network within the next 48 hours, 2. Anomaly Detection in the sewer network
Prediction of high levels in the sewer network within the next 48 hours
With predictions of high levels wastewater utilities are able to provide pro-active 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 ensure danger to the environment is minimised.
Anomaly Detection in the sewer network
The Anomaly detection software 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 level.? Discrepancies indicate an up or downstream blockage.
- Reduced flooding events
- Pro-active warning about CSO spills
- Improved network performance
- Prevent pollution events
- Improves and efficient operations
- Avoids regulatory penalties
- Enables efficient maintenance scheduling
- Anomaly detection machine learning using neural networks
- 48 hours level prediction from deep learning and rainfall forecast
- Performance of pumping stations using AI models
- AI derivation of sewer contributions
- Alarms and notifications