In the quest for quality production, controlling temperature variations within the kiln's burning zo...
Resources Listing AI
Burning Zone Temperature Prediction AI
In the quest for quality production, controlling temperature variations within the kiln's burning zone is paramount. The challenge lies in the diverse temperature ranges across the kiln, complicating monitoring and regulation. Low temperatures risk excess free lime, while excessive heat can compromise product quality and refractory lining integrity. This initiative focuses on predictive temperatur...
Asset Utilization (OEE) Monitoring AI
Asset Utilization (OEE) Monitoring aims to analyze the performance of batch processes by identifying time spent in various phases. This analysis helps reduce unproductive process time, such as during cleaning and maintenance, and highlights differences in manual re-cleaning events between shifts. By quantifying opportunities to reduce waiting times, OEE monitoring supports improved efficiency and ...
Asset Utilization (OEE) Monitoring aims to analyze the performance of batch processes by identifying...