Digital twin for steel industry Equipment
Multi-fold reduction in R&D effort by developing a Digital Twin for process performance prediction & improvement
Challenges & Objective
- Customer has developed in-house scripts, algorithms and scientific models for various processes of blast furnace
- Error-prone and tedious execution, lot of engineering hours wasted
Solution
- APIs are developed for all the scripts
- Integrated as unified web application & deployed on Google cloud
- Visualization and reporting is also supported
- Trends analysis via data archival in MongoDB
Digital twin for Pharma Industry Process
Significant reduction in experimentation required for new formulation development with Digital Twin
Challenges & Objective
- Adopting scientific computing solver has challenges due to limitations with time and additional skills requirement
- Absence of centralized & consistent
- Simulation data is unmanaged; challenges in deriving value
Solution
- All correlations made available via easy interface
- Managed & integrated materials and equipment data
- Automated scientific computing workflow with post processing
- Integrated ML models behind easy GUI for execution and prediction