Xianping Luo, Kunzhong He, Yan Zhang, Pengyu He, and Yongbing Zhang, A review of intelligent ore sorting technology and equipment development, Int. J. Miner. Metall. Mater.,(2022). https://doi.org/10.1007/s12613-022-2477-5
Cite this article as:
Xianping Luo, Kunzhong He, Yan Zhang, Pengyu He, and Yongbing Zhang, A review of intelligent ore sorting technology and equipment development, Int. J. Miner. Metall. Mater.,(2022). https://doi.org/10.1007/s12613-022-2477-5
Invited Review

A review of intelligent ore sorting technology and equipment development

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  • Received: 16 December 2021Revised: 21 March 2022Accepted: 21 March 2022Available online: 23 March 2022
  • Under the background of increasingly scarce ore worldwide and increasingly fierce market competition, developing the mining industry should be strongly restricted. Intelligent sorting equipment can not only improve ore use and improve the economic benefits of enterprises but also increase the ore grade and lessen the grinding cost and tailings production. However, long-term research on intelligent sorting equipment found that the causes affecting sorting efficiency mainly include ore information identification technology, equipment sorting actuator, and information processing algorithm. The accuracy and high speed of these causes is the guarantee for separation efficiency of intelligent ore sorting equipment. In recent years, some achievements have been made in developing intelligent sorting equipment. On the basis of the different characteristic information about minerals, some sorters to ensure the accuracy of equipment sorting and improve the efficiency of sorting have been developed. These sorters include color sorter, X-ray transmission sorter, dual-energy X-ray transmission sorter, X-ray fluorescence sorter, and near-infrared sorter. With the continuous advancement of mining automation, online element rapid analysis technology will become the unavoidable trend of developing intelligent sorting equipment. Laser induced breakdown spectroscopy, transient γ neutron activation analysis, online Fourier transform infrared spectroscopy, and nuclear magnetic resonance techniques will make further progress in the development of ore sorting equipment. Improving information processing algorithms, such as the peak area, principal component analysis, artificial neural network, partial least squares, and Monte Carlo library least squares methods, will also bring intelligent sorting equipment to a new level. With the continuous application of more efficient, convenient, and precise technical methods, the development of intelligent sorters will further promote the reform of the mining industry.

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