Observe the system
Bring flows, pressures and operating states together. Check timestamps, sensor quality and missing data.
Explore this stepExplore where predictive models and connected data can support better water decisions.
A practical path from time-series data to forecasts that support operational decisions.
Design training, validation and monitoring around the realities of engineering data.
Combine demand patterns, pressure observations and hydraulic context to investigate anomalies.
Understand how GIS, telemetry and hydraulic models can support a living representation of a network.
Use language models for retrieval, documentation and drafting while keeping engineering decisions accountable.
Use optimisation to compare pump operation, network interventions and planning trade-offs.
Explore where deep learning can assist inflow prediction and where physical interpretation still matters.
Use computer vision to screen asset imagery and support consistent condition assessment.
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Bring flows, pressures and operating states together. Check timestamps, sensor quality and missing data.
Explore this stepConnect observations to a calibrated model and reliable asset information. Keep physical constraints visible.
Explore this stepTest a forecast or compare a scenario. Report uncertainty and benchmark against a transparent baseline.
Explore this stepPut evidence in the hands of an engineer or operator. Record assumptions, decisions and observed outcomes.
Explore this step