Improves water quality by up to 40%
Improves water quality by up to 40%
Reduces leakage and energy use by up to 20%
Enhances network resilience
Prevents abstraction licence breaches through predictive control
Based on its adaptive, self-learning algorithm, Aquasuite Opir makes accurate predictions of domestic water demand for the next 72 hours using machine learning. It automatically analyses and identifies an area’s daily drinking water consumption patterns. Therefore, it can recognise deviating behaviour to anticipate and respond to sudden changes.
Optimising water abstraction and distribution in line with domestic water demand predictions creates stable and efficient performance. As a result, constant pressure enables stable systems and better operational decisions. Therefore, you can guarantee a continuous high-quality water supply to your customers, while extending the lifespan of your assets. Above all, stable water treatment ensures a calm water network, reducing energy usage by up to 20%.
Learn how the virtual operator controls the performance of the entire water cycle based on sensor-generated data combined with consumption and weather forecasts.
Discover how AI detects water leaks, minimising loss by predicting demand, analysing data, and locating leaks promptly.
Aquasuite runs in a very stable way and it does what it needs to do - that is what all our operators are saying. For many years the WML employees have relied on Aquasuite Opir and I hope they will do this in the future.