CONTROL AND MANAGEMENT OF MINERAL ENRICHMENT QUALITY USING ADAPTIVE REPRESENTATIVE SITUATIONS

The problem of improving the quality of mineral enrichment is considered using coal as an example. The lack of operational control over the characteristics of raw materials and output concentrate does not allow the use of traditional management approaches, including predictive systems, due to the significant delay in the results of laboratory coal analyses. The paper proposes the use of a decision support system for selecting and optimizing enrichment modes based on a natural-model approach and typical situations, as well as their improvement using methods for predicting the characteristics of input raw materials and disturbances reduced to outputs in the existing management system.