Artificial Intelligence in cement manufacturing

This paper explores the potential of leveraging Artificial Intelligence (AI) technologies, including Model Predictive Control and Machine Learning Algorithms, in the cement manufacturing process. By implementing these advanced techniques, operational efficiency can be improved, energy consumption reduced, and environmental impacts minimized.
The study focuses on the real-time application of AI in a cement factory owned by Prism Johnson Limited, India, specifically targeting the optimization of kilns and grinding circuits. A comprehensive case study is presented, demonstrating the practical implementation of AI techniques. The results of the implementation indicate significant improvements in energy efficiency and reductions in emissions, alongside economic benefits derived from cost savings and enhanced operational efficiency. This research underscores the transformative potential of AI in revolutionizing the cement industry.