Research progress and prospect of intelligent control technique in coal flotation based on the perspective of data life cycle
With the continuous traction of Chinese government policies and the new artificial intelligence technology,the research of mine intelligence has continued to make breakthroughs in recent years.The intelligent construction of coal preparation plant as a part of intelli-gent mine has received great attention,among which,the intelligent control technology of coal flotation has been one of the key bottlenecks hindering the intelligent construction of coal preparation plant.In this paper,the life cycle of coal slime flotation data was taken as the main research line,the research progress of coal flotation intelligent control technology was reviewed from three perspectives:online prediction of coal flotation concentrate/tailings ash content,intelligent addition of the flotation regents and intelligent decision-making of coal flotation system,and the research tendency of coal flotation intelligent control was looked forward to the future.The online predic-tion of concentrate ash content is still difficult,and the single computer visual feature information of froth image is not reliable,the predic-tion technology of tailings ash content is relatively more reliable.The addition of flotation regents is limited by multiple flotation condition variables at the same time,and the adaptability and generalization ability of model performance in the entire working condition interval need to be further improved.The current research on flotation intelligent control technology is limited by the prediction accuracy of coal flo-tation concentrate/tailings ash content,sensor detection accuracy,and agent addition accuracy.The flotation process dataset is more di-mensional,making it difficult to establish a reliable knowledge base.The new generation of artificial intelligence technology represented by deep learning can adapt to this kind of data structure.In addition,the existing flotation monitoring system only targets specific minerals,with high uniqueness.In the future,the coal flotation intelligent control system should focus on overcoming the limitations of index predic-tion and sensor detection accuracy,and establish a large dataset and large model of multi-coal and templated intelligent control data.
coal flotationdata life cycleash content predictionintelligent regents additionintelligent control technique
万方数据
维普
