to generate digital experiences with measurable results that allow the transformation towards a smart industry
AI model with critical variables for predicting energy consumption
A reduction between 4% - 8% energy consumption and CO2 emissions
Kiln operation optimization
A reduction between 4% - 10% in energy consumption
Up to 15% decrease in variability of critical process variables
Identifying improvements in PID configuration
Creation of an anomaly detection model for generation units
Identified abnormal behaviors and unnecessary wear
Identified variable capture frequency improvements for Analytical Twins
Energy transmission and distribution Industry
Anomaly detection model to extend asset life
Identify health status of equipment with Artificial Intelligence