基于数据挖掘的矿石金属元素分离与提取方法研究

Research on Separation and Extraction of Metal Elements from Ores Based on Data Mining

针对传统的矿石金属元素分离与提取方法准确度低的情况,本文利用数据挖掘技术,对矿石金属元素分离与提取方法进行了设计。通过分析矿石金属元素的基本原理,选择浸出工艺,对其进行了金属元素分离,在此基础上,对矿石金属元素提取。并且,为了证明此次设计的基于数据挖掘的矿石金属元素分离与提取方法的有效性,设置了实验,实验对比结果表明,此次设计的基于数据挖掘的矿石金属元素分离与提取方法比传统方法准确性高,具有一定的实际应用意义。

In view of the low accuracy of traditional methods for separation and extraction of metal elements in ores,this paper designs a method for separation and extraction of metal elements in Ores by using data mining technology.Based on the analysis of the basic principle of metal elements in ores,the leaching process was selected,and the metal elements were separated.On this basis,the metal elements in ores were extracted.Moreover,in order to prove the validity of the data mining-based ore metal element separation and extraction method,experiments were set up.The experimental results show that the data mining-based ore metal element separation and extraction method is more accurate than the traditional method,and has a certain practical significance.