Our AI software for intelligent quality control is the tool for producing cements of the highest quality. With this new approach, we support manufacturing companies in managing increasingly complex cement formulations for a more climate-friendly future.
Based on a continuous analysis of quality-relevant data from chemistry, mineralogy and particle size distribution, our intelligent algorithms provide target values for optimizing current cement production to desired quality parameters for the control center or expert systems.
co-grinding
separate milling
Automatic transmission of the analysis values of the current grinding or mixing
Our models predict quality characteristics such as compressive strength and Blaine of the current grinding or mixing
Our optimization algorithms find optimal target values for fineness or recipes to achieve the desired target properties
alcemy transmits setpoints to control station or expert system
Markus Bollich, control station driver at Spenner Cement Erwitte
20-50% lower strength standard deviation
3-8% cost reduction per tonne of cement (savings in grinding energy or clinker and emission certificates)
Tool for a deeper understanding of building material quality and simplified, paperless workflows
Additional revenues through increased customer satisfaction and stronger customer loyalty
alcemy's dynamic set points for production on target for each cement produced and each mill
Always the current most important characteristic values and measurement results at a glance
Quick insight into the latest cement formulation
Graphical display of compressive strength forecasts of shipping and production samples
Automatic graphic presentation of cement-specific compressive strengths & other quality parameters
Deep insights into the most important influencing factors from chemistry, mineralogy and particle size distribution
Detailed display of individual parameters and automatic highlighting of extreme values
Creation and management of cement recipes and target values
Management of the controller with and without alcemy
Recipe history easily understandable with reasons for changes
Martin Franzke, Quality Control and Laboratory, Head of Quality Control
Is your cement plant ready for alcemy's Machine Learning?
For more information you can download our whitepaper on Machine Learning in the cement industry here:
alcemy for concrete: holistic, data-driven automation of ready-mixed concrete production
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