CEBEDEAU • Data processing

In brief

Monitoring water treatment facilities, whether through probes or sampling, and monitoring environmental quality generate large volumes of data. The same applies to biodiversity monitoring, molecular biology, etc.

Our research center helps you process and interpret your data. We analyze it and define your indicators to turn them into predictive tools. Your water management becomes simpler, more accurate, and more efficient.

Our approach

Design of experimental plans

Every measurement has a cost. Obtaining relevant information for minimum investment is the raison d'être of design of experiments. How many probes should be installed? Where should they be installed? What are the critical parameters? Should the measurements be repeated? These are the questions we answer by applying the principles of DOE (Design of Experiment).

Mathematical modelling

Process modeling is a powerful tool for understanding changes, sizing new facilities, and optimizing costs. Modeling also allows us to evaluate different scenarios or optimize the operation of treatment plants, particularly from an energy perspective.

We use various software programs such as WEST® and GPSX to simulate water treatment processes and provide crucial information. Our experts are able to code processes and integrate innovative technologies into these programs.

Use of Artificial Intelligence

Our research center is developing expertise in artificial intelligence that enables us to design predictive tools for real-time regulation and control of large processing facilities. This is a promising tool for reducing GHG emissions and energy costs at large processing facilities.

Translating data into dashboards

We configure customized IT dashboards that highlight the essential parameters of your water facilities using dynamic and effective graphical visualizations. This allows everyone in your organization to quickly view key performance indicators (KPIs), assess developments, and make the necessary decisions.

Among software platforms, we frequently use Power BI, but also lines of code in R, DAX, SQL, QGIS, or Python.

Statistical data processing

It is often difficult to extract relevant information from large amounts of raw data. Our experts perform statistical analyses based on publicly available data sets or those provided by clients. This is done with the client's needs in mind and in a way that provides accurate, simple, and targeted answers to the issues at hand.