Raw materials have a signcant influence on the qu.ality of the final refractory products, as the crude ore often comes for processing with significant variations in chemical and mineralogical composition. Therefore, i...Raw materials have a signcant influence on the qu.ality of the final refractory products, as the crude ore often comes for processing with significant variations in chemical and mineralogical composition. Therefore, it is necessary to guarantee the stable quality of raw materials with pre-assigned qualitative factors. It is possible to solve these problems by separating raw materials by grades, including the rejection of the portions of material unsuitable for specific application, and by reasonable control of the processing parameters based on real-time infirmation about chemical composition of raw materials. This can be effectively achieved by MAYA laser ele- mental analyzers based on LIBS. Being applied in ex traction, beneficiation and processing of the mineral raw materials, LIBS analyzers can be used for automatic sor ting " the ore extracted or crushed and automatic dosage of components to stabilize the composition of raw material mixtures.展开更多
Under the background of increasingly scarce ore worldwide and increasingly fierce market competition,developing the mining industry could be strongly restricted.Intelligent ore sorting equipment not only improves ore ...Under the background of increasingly scarce ore worldwide and increasingly fierce market competition,developing the mining industry could be strongly restricted.Intelligent ore sorting equipment not only improves ore use and enhances the economic benefits of enterprises but also increases the ore grade and lessens the grinding cost and tailings production.However,long-term research on intelligent ore sorting equipment found that the factors affecting sorting efficiency mainly include ore information identification technology,equipment sorting actuator,and information processing algorithm.The high precision,strong anti-interference capability,and high speed of these factors guarantee the separation efficiency of intelligent ore sorting equipment.Color ore sorter,X-ray ore transmission sorter,dual-energy X-ray transmission ore sorter,X-ray fluorescence ore sorter,and near-infrared ore sorter have been successfully developed in accordance with the different characteristics of minerals while ensuring the accuracy of equipment sorting and improving the equipment sorting efficiency.With the continuous improvement of mine automation level,the application of online element rapid analysis technology with high speed,high precision,and strong anti-interference capability in intelligent ore sorting equipment will become an inevitable trend of equipment development in the future.Laser-induced breakdown spectroscopy,transientγneutron activation analysis,online Fourier transform infrared spectroscopy,and nuclear magnetic resonance techniques will promote the development of ore sorting equipment.In addition,the improvement and joint application of additional high-speed and high-precision operation algorithms(such as peak area,principal component analysis,artificial neural network,partial least squares,and Monte Carlo library least squares methods)are an essential part of the development of intelligent ore sorting equipment in the future.展开更多
文摘Raw materials have a signcant influence on the qu.ality of the final refractory products, as the crude ore often comes for processing with significant variations in chemical and mineralogical composition. Therefore, it is necessary to guarantee the stable quality of raw materials with pre-assigned qualitative factors. It is possible to solve these problems by separating raw materials by grades, including the rejection of the portions of material unsuitable for specific application, and by reasonable control of the processing parameters based on real-time infirmation about chemical composition of raw materials. This can be effectively achieved by MAYA laser ele- mental analyzers based on LIBS. Being applied in ex traction, beneficiation and processing of the mineral raw materials, LIBS analyzers can be used for automatic sor ting " the ore extracted or crushed and automatic dosage of components to stabilize the composition of raw material mixtures.
基金supported by the National Science and Technology Support Program of China(No.2012BAC11B07)the Jiangxi Science and Technology Innovation Base Plan(No.20212BCD42017)。
文摘Under the background of increasingly scarce ore worldwide and increasingly fierce market competition,developing the mining industry could be strongly restricted.Intelligent ore sorting equipment not only improves ore use and enhances the economic benefits of enterprises but also increases the ore grade and lessens the grinding cost and tailings production.However,long-term research on intelligent ore sorting equipment found that the factors affecting sorting efficiency mainly include ore information identification technology,equipment sorting actuator,and information processing algorithm.The high precision,strong anti-interference capability,and high speed of these factors guarantee the separation efficiency of intelligent ore sorting equipment.Color ore sorter,X-ray ore transmission sorter,dual-energy X-ray transmission ore sorter,X-ray fluorescence ore sorter,and near-infrared ore sorter have been successfully developed in accordance with the different characteristics of minerals while ensuring the accuracy of equipment sorting and improving the equipment sorting efficiency.With the continuous improvement of mine automation level,the application of online element rapid analysis technology with high speed,high precision,and strong anti-interference capability in intelligent ore sorting equipment will become an inevitable trend of equipment development in the future.Laser-induced breakdown spectroscopy,transientγneutron activation analysis,online Fourier transform infrared spectroscopy,and nuclear magnetic resonance techniques will promote the development of ore sorting equipment.In addition,the improvement and joint application of additional high-speed and high-precision operation algorithms(such as peak area,principal component analysis,artificial neural network,partial least squares,and Monte Carlo library least squares methods)are an essential part of the development of intelligent ore sorting equipment in the future.