Study on Hyperspectral Analysis of Iron Ore Powder and Quantitative Inversion of Iron Grade

Abstract

Hyperspectral detection of iron grade in iron ore dressing powder is a new technology, which has the advantages of nondestructive and efficient test. Some iron ore powders with different grades were selected as test samples in order to test the accuracy of identifying iron grade of iron ore dressing powder by hyperspectral spectroscopy. The hyperspectral curves of the samples were collected,after smoothing denoising and spectral feature extraction, the iron grade spectrum fitting test and iron grade inversion modeling were carried out. The results show that the high correlation between iron grade of iron ore powder and hyperspectral curve is the strong absorption position of Fe, about 517~520 nm and 873~888 nm; The modeling inversion of iron ore grade at about 520 nm based on the least square method is carried out. The determination coefficient of the inversion test results is 0.9885, and the relative error is 7.26%, it shows that the detection accuracy of iron grade of iron ore powder by hyperspectral technology is high, which provides a theoretical basis for the practical application of hyperspectral test of iron grade.

Keywords

• hyperspectral measurement
• iron grade of iron ore powder
• least square model
• quantitative inversion