Engineering Data Analytics

e-DAP is an end-to-end web application performing digital control and advanced analytics of plant data, for operational excellence, predictive maintenance, and anomaly detection.

The platform enables data collection from sensors and live dashboarding. It transforms IoT data from infrastructure, industrial, and energy sectors into actionable insights. Using advanced machine learning and simulation, it processes complex data, delivering results through intuitive dashboards and immersive BIM and GIS visualizations.

The data is then engineered, and ML algorithms are employed for predictive modelling. The outcome is a virtual duplication of the process, known as digital twin.