Technology
Digitalization & Smart Grids

Digital Twins in the Water Sector

Research from Kazakhstan shows how a wastewater treatment plant can learn to think with the help of IoT sensors, hydraulic simulation and artificial intelligence.
A real and a digitised wastewater treatment plant
Photo: Inwatech Kft., modified with AI
5
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Summary:

For decades, wastewater treatment followed a reactive logic: when something failed, the operator fixed it. But this approach is becoming less and less adequate, as infrastructure ages, extreme weather events intensify and energy efficiency expectations keep rising. Digital twin technology offers a radically different paradigm: instead of reacting after the event, it continuously monitors, forecasts and optimises – in real time.

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What is a digital twin, and why has it become important now?

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A digital twin is a real-time, synchronised virtual copy of a physical system. It is not just a computer model, nor mere data visualisation. Its essence is a continuous two-way connection: the physical system's sensors constantly update the virtual model, and the model gives the operator feedback, forecasts and suggestions for intervention.

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The technology first appeared in the space industry in the 1960s and is now gaining ground in the water and wastewater sector too, enabling real-time monitoring, simulation and predictive control of water infrastructure.

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