Journals Proceedings

Abstract

Conventional proportioning control of cement raw mill is basing on off-line analysis results obtained once per hour. According to the given values of the indexes K, n and p (sometime Fe2O3 used instead of p), operators adjust proportions of raw materials with operating experiences. Due to the time lag in Analysis result and inaccuracy, the indexes of raw material fluctuates between control action intervals and the raw mill quality is low. To solve this problem, we present an intelligent control scheme for cement raw mill quality control based on online compositions analysis results. In this control system, the chemical composition in raw mill is measured in real-time and comprehensively analyzed. A condition-based intelligent control method is then used to optimally control the process. The application in one Cement Enterprise proves quality and efficiency of the system.