基于近红外光谱的岩石成分分析和检测研究

Analysis and detection of rock composition based on near infrared spectroscopy

当前岩石成分分析和检测方法存在错误大、速度慢等不足,为了获得高精度的岩石成分分析和检测结果,提出了基于近红外光谱的岩石成分分析和检测模型。采集岩石的近红外光谱成分历史数据,并引入数据挖掘技术拟合岩石成分变化特点,建立岩石成分分析和检测模型,在相同环境下,与其它岩石成分分析和检测模型进行对照测试。测试结果表明,模型可以准确描述岩石成分的变化规律,提高岩石成分分析和检测精度,分析和检测误差要小于当前模型,而且分析和检测过程更加简单,获得了更快的岩石成分分析和检测速度,实际应用价值更高。

At present,there are many shortcomings in rock composition analysis and detection methods,such as large errors and slow speed.In order to obtain high-precision rock composition analysis and detection results,a rock composition analysis and detection model based on near-infrared spectroscopy is proposed.The historical data of near-infrared spectrum composition of rock is collected,and the data mining technology is introduced to fit the characteristics of rock composition change.The rock composition analysis and detection model is established.Under the same environment,the model is compared with other rock composition analysis and detection models.The test results show that the model in this paper can accurately describe the change rule of rock composition,improve the accuracy of rock composition analysis and detection,the error of analysis and detection is less than that of the current model,and the process of analysis and detection is simpler,obtaining faster rock composition analysis and detection speed,and the practical application value is higher.