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Advances in Optical Image Analysis of Iron Ore Sinter

机译:铁矿石烧结光学图像分析的研究进展

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Most metallic iron in the world is produced in blast furnaces from different feed stocks - sinter, lump ore and pellets. Sinter is the main iron-containing feed to the blast furnace and can constitute up to 70-85 per cent of the total ferrous burden. As sinter quality is a key element for stable blast furnace operation, the textural, chemical and physical characteristics of the sinter are very important. Two major factors that affect sinter strength are mineralogy and porosity. This study utilised optical image analysis (OIA) to characterise sinter mineralogy, and the results were compared to those obtained by manual point counting under the optical microscope. Two major mineral characteristics of iron ore sinter are the presence of primary (unreacted) and secondary (derived from melt) hematite. Standard OIA, which is based on RGB thresholding, is not able to distinguish them as they have the same reflectivity; however, primary and secondary hematite in iron ore sinter have a different morphology. The CSIRO-developed OIA software Mineral4/Recognitioii4 has a unique feature to identify various textures/morphologies of the same mineral. Together with other capabilities of the Mineral4/Recognition4 software, this feature was used to identify different types of hematite and silico-ferrite of calcium and aluminium and other common sinter phases, such as magnetite, larnite, glass and remnant aluminosilicates. A visual comparison of the sinter mineralogy present in optical photomicrographs and that present in the mineral maps created automatically by the Mineral4 module of the CSIRO software confirmed the accuracy of the automated mineral identification.
机译:世界上大多数金属铁是在来自不同饲料股的高炉中生产 - 烧结,肿块矿石和颗粒。烧结炉是高炉含铁料,可占总铁负担的70-85%。由于烧结质量是稳定高炉运行的关键要素,烧结陶瓷的纹理,化学和物理特性非常重要。影响烧结强度的两个主要因素是矿物学和孔隙率。该研究利用光学图像分析(OIA)来表征辛特矿物学,并将结果与​​通过光学显微镜下的手动点计数获得的结果进行比较。铁矿石烧结的两个主要矿物特性是初级(未反应)和仲(衍生自熔体)赤铁矿的存在。标准OIA,基于RGB阈值的阈值,无法将它们区分开,因为它们具有相同的反射率;然而,铁矿石烧结中的初级和次生赤铁矿具有不同的形态。 CSIRO开发的OIA软件Mineral4 / IdembiTioi4具有独特的特征,可识别相同矿物质的各种纹理/形态。与Mineral4 /识别4软件的其他功能一起,该特征用于识别钙和铝的不同类型的赤铁矿和硅铁和硅铁,例如磁铁矿,拉特尼,玻璃和残余硅酸盐。在CSIRO软件的Mineral4模块自动创建的光学显微照片中存在的烧结矿物学的视觉比较,并在CSIRO软件的Mineral4模块中创建的矿物地图证实了自动矿物识别的准确性。

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