Optimization Of Liquid Injection Based On The Spatial Variability Of Rare Earth Grade Of Ionic Rare Earth Ore

At present,in the mining process of ionic rare earth ore,the amount of leaching agent is mainly determined by engineering practice experience and laboratory tests,and the spatial variability of ore soil grade is not fully considered.The traditional mining method is likely to cause uneven ore leaching and leaching.Insufficient estimation of mineral agent dosage coexists with other problems.In addition to the nature of the ore soil itself,the amount of leaching agent is also closely related to the liquid injection process.Therefore,on the basis of considering the variation characteristics of rare earth grades,optimizing the injection process of ionic rare earths will help to improve the leaching efficiency of ore leaching agents,reduce the use of ore leaching agents and increase the leaching rate of rare earths,and reduce the accidents caused by rare earth mining.Environmental pollution and reduce waste of resources.To solve the above problems,this paper carried out the following work:(1)The spatial distribution of rare earth grades was studied.The rare earth grade exploration data were preprocessed,isolated rocks and outliers were eliminated,and spatial correlation analysis and normality test were carried out.The results showed that the grade data met the basic requirements of universal kriging analysis.The drift function and variation function of the ore block are optimized by using the cross-validation test method.The results show that the optimal drift function and variation function of the whole ore body are quadratic function and Exp function respectively.Based on the coordinates of the exploration hole,Thiessen polygons are used to partition the exploration area.Similarly,the cross-validation method is used to optimize the drift function and variation function of each partition.The results show that compared with a single function,considering the unsteadiness of the ore body variation function,The calculation accuracy of the spatial distribution of rare earth grades has increased by more than 10%.(2)Estimating the rare earth reserves of ionic rare earth ores.The geological block method and the polygon method in the geometric method are used to estimate the rare earth exploration reserves.The results show that although there are some differences in the division methods and modeling accuracy of the two methods,they are both based on geological and landform analysis methods,so the estimated results of the exploration reserves are similar.Through the combination of the geological block method and the universal kriging method,the block-universal kriging method is used to estimate the rare earth exploration reserves.The results show that compared with the single reserve method,the block-universal kriging method has better accuracy and applicability It has more advantages,but has a slight disadvantage in terms of efficiency.Based on the limit of liquid injection and liquid collection boundaries,the block-universal kriging method is used to estimate the controlled reserves on the basis of the exploration reserves.The results show that the block-universal kriging method can effectively avoid geological block method and universal kriging.The limitations of the law can provide important technical support for the formulation of mining plans.(3)The ionic rare earth injection process was optimized.Based on the cloud map of the spatial distribution of rare earth grades and the reserves of rare earth controlled resources,combined with the unit consumption of ore leaching agents,the design values of the amount of ore leaching agents in different areas of the mine are obtained.MATLAB software is used for programming and compiled into software applications for partition injection design.On the basis of ensuring the reliability and accuracy of data information,the data processing,analysis and decision-making processes are organically combined to effectively improve the calculation efficiency and operation of the system.performance,providing scientific and reliable decision-making and optimization for the ionic rare earth ore leaching process,and realizing the "data-decision integration" mode.