How it works?
Aquasuite FLOW uses its proven AI algorithms to make highly accurate predictions of level and dry weather flow (DWF) within the sewer and rising main systems. These predictions are then combined with rainfall data from various external sources, and tidal data if required. Once the predictions are made, Aquasuite understands the requirements of the network and can work to optimise flow within it.
The starting point for Aquasuite FLOW is usually the control of a terminal pumping station feeding a wastewater treatment works (WwTw). The system uses knowledge of the storage available within a catchment (in sumps, pipes, etc.) together with predictions of DWF, transit time and rainfall forecast to control the flow into the WwTW. When rainfall events are short in duration, Aquasuite can hold back the flow as it has a confident prediction of future levels. Conversely, if prolonged rainfall is expected it can pump early into the WwTW to create maximum storage for the expected flow.
Control of flow into the WwTW has several benefits:
- Reduce peak loading ensuring maximum usage of tertiary treatment. In deployments, FLOW achieves a 58% reduction in bypasses of tertiary treatment.
- Improved treatment efficiency. Removing peaks and troughs results in more stable effluent flow and load, in turn improving treatment performance.
- Improved pollution control during rainfall events.
Aquasuite FLOW can then be extended into the network to control pumping stations within the catchment area. This has a similar goal of ensuring constant efficient flow through the network, reducing combined sewer overflow events and pollution. Where variable energy tariffs are in use, pumping can be optimally scheduled to save costs.
Detects anomalies
Moreover, Aquasuite FLOW uses AI and machine learning to make predictions of open channel sewer levels, usually based on level monitors installed within the network or as event duration monitors. Uses machine learning the tool predicts DWF together with rainfall to predict levels within the gravity fed system. Thus, Aquasuite can calculate when levels will become critical and provide water utilities with early warning of potential combined sewer overflow events. Anomalies such as sewer blockages and failing sensors can also be detected.
Insight into system conditions
Aquasuite FLOW features advanced monitoring of asset performance using integration data with a hydraulic numerical model. This self-calibrated digital twin allows calculation of performance indicators to clearly illustrate the system’s condition via all kinds of measures, from coarse to detailed. To avoid overloading operators with warnings, a distinction is made between urgent warnings, when the required pump capacity is not met, and maintenance warnings that highlight objects performing below a certain threshold. This way, Aquasuite FLOW supports timely planning of the right actions.
