Design and Practice of the Grinding and Classification Process Control Based on the Intelligent Integration Method

In the beneficiation process of non-ferrous metals, the grinding and classification process faces disturbances caused by ore property variations and changes in equipment characteristics, leading to control system failures. To address this production challenge, this paper proposes a vertically layered intelligent control strategy, consisting of an advanced control layer, an expert control layer, and a basic control layer. This approach integrates expert control, simulation modeling, and artificial intelligence methods to systematically solve the control problem in the grinding and classification process. The control scheme is designed and applied to typical production scenarios of conventional grinding and classification. The results show that the stability of grinding production improved by 3%, system availability exceeded 95%, and automated and intelligent production was achieved.