• This digital twin will provide differential added value for the company and our clients, mainly in three aspects: cost optimization, access to information by applying visual intelligence, and increased cybersecurity.
  • Data processing has become so important in the water sector in the last five years, especially in projects related to artificial intelligence, that it requires the development of an appropriate data processing strategy.

The project will be carried out in three phases. A first phase where all the relevant data will be collected and structured during the operation work. Second, a series of machine learning algorithms will be created, fed by the previously collected data. Lastly, these algorithms will allow the behavior of energy consumption and water production to be simulated by means of a digital model with the aim of optimizing them, as well as generating predictive simulations in the face of different scenarios.