智能化技术在铁矿品质检验应用及其发展

随着人工智能在各个领域的日益普及,在冶金行业生产的各个环节,智能化技术应用也日益广泛和深入。近20年来,在铁矿品质控制方面,应用技术从数理统计开始到化学计量学,再发展到人工智能,相关从业专家一直努力向新技术要效率,不断将人工智能最新发展的技术应用于铁矿采矿、配矿、运输、质量验收、炉料准备及炼铁过程品控、自动化生产、在线检测等,使得铁矿品质控制紧跟现代科学技术潮流。文章介绍智能化技术的发展及其在我国铁矿品质检验的应用、发展和趋向。共引用论文65篇。

Imaging detection and image-assisted analytical method for laser-induced breakdown spectroscopy in liquid

Laser-induced breakdown spectroscopy in liquid commonly suffers from poor measurement repeatability and reproducibility, which is an obstacle to its practical application. In order to improve the stability of LIBS in liquid medium, the spectra were acquired synchronously with coaxial plasma images, lateral plasma images or shadowgraphs of bubble, by exploiting the fast imaging and shadowgraph techniques. The correlations between the spectral line intensity and the intensity or morphology of the three types of images were analyzed. The results showed a good linear relationship between the spectral line intensity and the sum intensity of coaxial plasma image. Thereafter, the coaxial plasma images were used to correct the spectral line intensity (Li I 670.8 nm), leading to a decrease of the relative standard deviation from 10.24% to 4.14%. Moreover, an improvement of quantitative performance had also been observed, which demonstrated the availability of such image-assisted spectral correction method in LIBS analysis of liquid samples.