Manage your water and wastewater treatment plants with our digital twin

Imagine a solution that helps you visualise your treatment plant, understand its performance throughout its lifecycle, and predict how it will behave in different situations. By leveraging real-time data, it describes the current state of the treatment plant and enables predictions of its future condition.

With our digital twin, this vision becomes reality. In collaboration with industry experts, we have developed a revolutionary solution that transforms your treatment plant into a living digital model by combining asset digitalisation with artificial intelligence.

1. Digital representation of assets: Our digital twin integrates real-time data from various SCADA, sensor, IoT and other systems, ensuring a comprehensive and up-to-date representation of the infrastructure. In addition, our solution ensures smooth communication between different operating tools, such as CMMS and EDM. This integration provides operators with a realistic interface, allowing them to view the facilities as if they were on-site. But this digital model is not limited to visualisation. It facilitates a transparent exchange of information on assets, thus improving the safety of interventions and the training of operators. With this technology, teams can optimally prepare before going into the field, ensuring safer and more efficient operations.

2. Resilience: Our digital twin continuously assesses the state and operational health of the infrastructure through real-time monitoring. For instance, if sensors detect a rapid rise in a nearby river combined with intense rainfall predicted by weather services, the system identifies potential stress on the plant and triggers an alert. This enables plant operators to take preventive actions, such as activating additional pumps, closing valves to redirect flows, or reinforcing protective barriers, thereby preventing asset degradation. Additionally, the technology supports simulation exercises based on accurate models, allowing teams to test what-if scenarios, prepare for crises, and make informed decisions under pressure.

3. Prediction of behaviour: Our digital twin also enables advanced predictive analytics. By combining historical data with real-time sensor monitoring (such as power, flow, and pressure), it can predict the future condition of equipment, both functionally and structurally. For example, if a pump shows signs of gradual wear, the digital twin can predict when maintenance will be required, helping prevent unplanned breakdowns.

4. Decision optimisation: Using state-of-the-art optimisation functionalities, our digital twin allows managers to evaluate various “what-if” scenarios and select the best course of action to maximise performance while respecting constraints such as budget, environmental requirements, and operational limitations. For replacement and maintenance planning, the digital twin leverages Risk models to identify optimal mid- to long-term investment programs, helping optimise the life-cycle cost of assets.

In short, our solution provides powerful predictive and planning capabilities, enabling informed and effective decision-making in a complex environment.

Effective management of water infrastructure is essential to ensure the reliability and sustainability of water supply and wastewater treatment.

At SUEZ, we use digital twins to provide a comprehensive and personalised solution that transforms your asset management. With our expertise and advanced technologies, we help you anticipate, plan and optimise your operations and investment plans for a sustainable and prosperous future.

Trust us to reinvent the management of your water infrastructure with digital twins.