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Municipal wastewater treatment & transport

The rising demand for freshwater and stricter effluent quality regulations call for efficient solutions to treat and reuse wastewater in a sustainable and cost-effective way. Whether you need to treat municipal or commercial wastewater or industrial effluent, our solutions will meet your operational requirements and demands.

Our solutions are modular, scalable and quick to deploy at both existing and new plants. With our suite of products, your wastewater treatment can be fully automated and controlled by a virtual operator. This enables real-time response, enhancing operational efficiencies in your critical infrastructure.

Our proven AI algorithms predict the level of dry weather flow (DFW), influent flow and load, and sludge production. The virtual operator uses these predictions to fully automate and control the flow through the network, maximise the usage of sewer networks and optimise the sludge line, to reduce CSO events, pollution incidents and turn waste into renewable energy.


Ensure resilient municipal wastewater transport & treatment

There are many efficiencies to be gained by harnessing insights into the performance of your entire wastewater transport systems. By understanding the wastewater treatment process better, we can drive optimisation. Today’s sensor technology enables real-time reporting throughout the wastewater system, where measurements are presented in insightful dash¬boards and decision support tools. By linking in model-based monitoring we can analyse weather forecasts and predict sewage overflows to ultimately reduce peak flow. At the same time, analysing the content of waste water gives us control of nutrient removal, energy efficiency and chemical use within the wastewater treatment process. Predictive, self-learning technology automatically manages all key treatment processes.

Predict, identify and reduce CSO overflows & spills

All responsible businesses are seeking to minimise the environmental impact of their operations, and so reducing Combined Sewer Overflows (CSO) and spills are a priority. By accessing and interpreting real time data from sewage pumping stations, we can understand and control the performance of wastewater systems. CSO events are generally necessary after periods of heavy rainfall, so our solutions combine weather forecasts with processing information to predict future waste volumes and the implications for the network. Model-based monitoring enables informed decision making, by predicting future flow and identifying options to reduce the need for CSO.

Optimise wastewater networks

Being better informed about the performance of your wastewater operation gives you more control of the process. Understanding the demand on wastewater treatment stations drives decision-making to regulate wastewater, driving optimisation through efficient usage of pumps, reduce pipe friction loss and energy consumption. An optimised wastewater network allows condition-based maintenance and better asset management, extending the lifecycle of equipment. Energy consumption can be reduced by up to 20%.

Manage and reduce peak wastewater flows

Aquasuite delivers a steady balance of wastewater transport. Ongoing, real-time measurement of inflow, together with insights into the impact of rainfall and stormwater, informs processing decisions.

Levelling out the peaks and troughs of wastewater flow delivers efficiency, reduces pipe bursts and reduces bypasses caused by peak flows by up to 50%.


Improve wastewater treatment efficiency

Water treatment plants that are not operating efficiently can be very costly. Inefficient pumping and processing equipment, together with outdated water management practices result in higher operating costs and lower revenue.

Machine learning unlocks the potential for smart ‘autopilot’ control of the aeration, pumps and valves within your treatment system. By learning the daily patterns of your inflow, combined with predicted rainfall and storm water flow, we can achieve sustainable, high-quality municipal wastewater treatment.

Not only is operational effort reduced through autonomous control, but effluent quality is improved. Nitrogen levels can be reduced by up to 50%.