Research progress in intelligent control technology for jigger
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Abstract
Coal sorting, as one of the effective ways for the clean and efficient utilization of coal in China, its intelligence has become the hot spot and trend of the current development of coal sorting technology. In coal sorting equipment, jigger as one of the main equipment, has made significant progress in intelligent control technology in recent years. In this paper, the intelligent control technology of jigger is reviewed from four aspects, namely, intelligent perception technology of sorting parameters, intelligent control technology of bed state, intelligent decision-making system of product indexes, common faults and intelligent diagnosis technology, as well as its future development trend is discussed. The key of intelligent perception technology are data denoising and calibration to ensure the accuracy and reliability of data. The intelligent control technology of bed state is based on the research of control model and strategy of bed state in order to realize the precise control and regulation of bed state. Meanwhile, product index prediction and decision-making based on big data and deep learning achieve accurate prediction of product indexes and optimized decision-making through the analysis and learning of a large amount of data. In addition, the intelligent diagnosis technology for the common faults of the jigger is also one of the research focuses. Fault intelligent diagnosis and remote maintenance can detect equipment failures, thereby improving the liability and stability of the equipment. In summary, the continuous innovation and application of intelligent control technology for jigger will promote the further improvement of the intelligent level of jiggers, providing more reliable and advanced technical support for the clean and efficient utilization of coal in China.
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