Advanced analytics and decision support

Modelling the behaviour of water through rivers, lakes, aquifers, reservoirs, canals or any other infrastructure can provide deep insights into a systems behaviour and such, inform decision making for planning and operational purposes.

Our Real-Time Analytics Framework (RTAF) lets you integrate virtually any advanced analytics process, meteorological or water resources model, whether physically based, conceptual, or data driven (artificial intelligence, machine learning etc.) into our expert data management systems. Then, employ the model for scenario analysis, real time operations, or storm or flood warning.

Once configured, the RTAF fully integrates your process or model into the data stream by managing model inputs (such as rainfall for a rainfall-runoff model), internal state variables (such as storage in a reservoir) and extracting any requested model results. Intelligent (and if desired automated) model execution and results storage provides for virtually hands-off work with the models, allowing you to focus on the results and derive actionable information.

With real-time optimisation (RTO) you can take advantage of your data even more. Rather than simply simulating how you plan to operate your infrastructure, our Real-Time Optimisation can optimise operations and provide you with clear operational guidance.

RTO uses model representations (“digital twins”) of your system and given inputs of weather forecasts. Along with your operational goals and constraints, it finds the optimal operation of your assets enabling you to receive guidance on how to improve efficiency, minimise risk, and increase revenue.