有色设备

The multi-metallic concentrator has long been challenged by highly variable ore properties, frequent manual adjustments, and unstable control in China, which severely constrained both product quality and production efficiency in the grinding circuit. To address these issues, this study developed an intelligent grinding control (IGC) system capable of adaptive optimization, aiming to enhance operational performance and production intelligence. The system leverages a strategy that integrates expert knowledge with data-driven fuzzy control and process logic to achieve precise, multi-parameter, and multi-loop cooperative control with self-adaptive adjustment in the grinding process. After on-site production practice, the IGC system operates stably and reliably, increasing the processing capacity of the raw ore by 3.41%, improving the qualification rate of grinding product concentration by 4.58 percentages, and increasing the qualification rate of grinding product particle size by 3.34 percentages. These outcomes effectively met the plants goals of increasing production quality, reducing labor intensity, and enhancing economic performance. The system provides a reliable technical pathway and a practical reference for the intelligent upgrading of similar concentrator.