Cement

Predict & preventquality, throughput, energy and emissions losses

Using Artificial Intelligence

Using Artificial Intelligence

Examples of process-driven losses we solve for cement manufacturers

Cement manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes.

Examples of process-driven losses we solve for concrete manufacturers

Cement manufacturers face many process-driven losses. Seebo Process-Based Artificial Intelligence™ predicts and prevents the process inefficiencies that cause those losses - so you can truly master your processes.

Slide ✔ Improve clinker quality ✔ Increase refractory lifetime
✔ Increase throughput
✔ Reduce kiln feed variance

Slide ✔ SNCR optimization ✔ Optimize fuel consumption
✔ Ammonia cost optimization
- input vs emissions
✔ Optimize energy consumption
✔ Reduce emissions
✔ Kiln burning zone temperature optimization
HOW WE DO ITGET A DEMO

"Using Seebo has put us on the path of achieving significant financial benefits, by reducing the process inefficiencies causing yield and quality losses.”

— Jim Martin, Global Operational Excellence Manager, Allnex

Seebo in action

Optimizing the kiln to reduce quality, throughput, emissions & energy losses