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AI & Algorithms

At Hydro-Cote, the exploitation of heterogeneous data – oceanographic, meteorological, riverine or from sewage networks – relies on the development of custom algorithms.

These tools allow access to the data, decode it, adapt it to the intended uses, and format it according to the requirements of numerical modelling or visualisation software.

Whether it is Fortran, MATLAB, Python, QGIS or batch scripts, in a Windows or Linux environment, this algorithmic chain ensures interoperability between data sources and simulation or rendering tools.

It is a central pillar of Hydro-Cote's expertise, at the intersection of science, software engineering, and the valorisation of environmental information.

SCADA and digital twin: the key to real-time modelling

The real-time operational exploitation of a hydrodynamic digital twin relies on the integration of a SCADA system. This system allows for the continuous capture, centralisation, and updating of:

  • the environmental forcings that govern the dynamics of water bodies: tide, river flows, wind, swell, boundary conditions
  • the tracers– temperature, salinity, turbidity, concentrations of nutrients or pollutants, as well as transported elements such as algae, microalgae or floating waste.

Thanks to this automated supervision, the digital twin can respond to observed conditions, adjust its predictions, and provide a consistently accurate and usable representation of the hydrodynamic and biogeochemical state of the monitored system. It is a fundamental lever for the adaptive management of coastal and river territories.


AI

The development of data processing algorithms and the architecture of SCADA systems are now benefiting from the growing support of artificial intelligence.

AI enables the optimisation of pattern identification, anticipation of anomalies, refinement of predictions from hydrodynamic models, and facilitates decision-making in an operational context.

Coupled with the digital twin, it paves the way for smarter, more responsive, and predictive environmental supervision.