Research on application of intelligent grinding control in a polymetallic ore concentrator
CSTR:
Author:
Affiliation:

1.China ENFI Engineering Corporation, Beijing 100038 , China ; 2.Yunnan Hualian Zinc and Indium Co., Ltd.,Wenshan 663701 , China

Clc Number:

TD453;TP273

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    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.

    Reference
    Related
    Cited by
Get Citation

赵晨阳,何荣权,尤腾胜,等.智能磨矿控制系统在某多金属选矿厂的应用研究[J].有色设备,2025,39(6):88-95.

Copy
Related Videos

Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:August 10,2025
  • Revised:
  • Adopted:
  • Online: February 13,2026
  • Published:
Article QR Code