Smart Process Control
Predict quality, Control performance, and Reduce costs.
How We Help
At CelSian, smart process control means moving beyond reactive control. Instead of responding to deviations after they occur, we help you anticipate, predict, and steer the process toward optimal operation.
By combining real-time process intelligence with energy and process modeling, we support continuous optimization of combustion, temperature, and throughput. The result is a more stable furnace, lower energy consumption, and consistent performance across shifts and production campaigns.
We Understand Your Challenges
Maintaining stable operation becomes increasingly difficult as production targets, energy costs, and quality demands rise. Common challenges include:
- Quality variability: Persistent cords, bubbles, seeds, or refining instabilities that are hard to predict and control.
- Unpredictable transitions: Long downtimes and waste during color or product changeovers due to unstable process responses.
- Balancing cost and quality: Rising energy consumption while still struggling to keep glass quality consistent under changing pull rates.
- Operator burden: Too much reliance on manual interventions, leading to inconsistency across shifts and sites.
CelSian helps transform these challenges into controlled, predictable processes.
Celfos for Smart Process Control
Celfos combines CFD modeling (via GTM-X) with advanced AI algorithms to predict future glass quality and recommend optimal furnace settings to support real-time decision-making. It helps stabilize operations, reduce variability, and guide operators with actionable recommendations, ensuring consistent performance day after day. When used, Celfos can help to:
- Predict quality issues early.
- Optimize combustion for stability.
- Speed up color and product changes.
- Support operators in real time.
- Keep performance consistent everywhere.
EBM Software for Smart Process Control
The Energy Balance Model (EBM) provides a complete view of how energy flows through the furnace. By identifying losses and inefficiencies, EBM supports smarter control strategies that reduce energy consumption while maintaining stable operation and glass quality.