基于综合图像处理技术的烧结铁矿粉高效利用研究

The micro-characteristics of iron ore are vital to the sintering production while the quantitative analysis of them have not been carried out at present. To acquire the quantitative indexes of the micro-characteristics of iron ore, the multifeature analysis including point, line and region based on comprehensive image processing techniques was carried out so as to provide micro-characteristics indexes for optimizing sintering granulation and ore blending process. The proper mineral composition of iron ore sinter play a basic role in the strength and metallurgical properties of iron ore sinter. However, the traditional point counting method which is used to acquire the mineral composition of iron ore sinter is of high labor intensity and of low efficiency. Therefore, the mineral composition of iron ore sinter was obtained efficiently and effectively by analyzing the grey feature image and the texture feature image of the iron ore sinter based on knowledge base rules. The high-efficiency of obtaining micro-characteristic and mineral composition of iron ore based on comprehensive image processing techniques would provide effectively technical support for the high-efficiency application of iron ores.

铁矿粉的微观特性对于烧结生产十分重要，但目前不能对其进行定量分析。通过综合图像处理技术进行点线面多特征分析评价，得到铁矿粉微观特性定量指标，从而为铁矿石优化制粒和优化配矿提供微观特性指标。烧结矿矿相的合理组成是烧结矿强度和冶金性能优良的基础，传统方法通过人工数点进行定量计算，工作量大，效率低。通过对烧结矿矿相图像进行灰度特性和纹理特性分析，建立知识库规则，从而实现烧结矿矿相组成检测的高效识别和精确计算。利用综合图像处理技术高效检测铁矿粉微观特性和快速定量给出烧结矿矿物组成，给烧结铁矿粉高效利用提供有力的技术支撑。

烧结矿质量对保障高炉稳定顺行，生产高质量铁水和降本增效等方面具有重要意义。本项目围绕铁矿石的制粒行为和烧结行为，利用综合图像处理技术，对其铁矿粉微观特性和铁酸钙生产特性等方面进行了研究。结果如下：.（1）通过研究铁矿粉电子显微照片，利用综合图像处理技术铁矿粉微观特性定量化研究，构建铁矿粉微观特性评价体系，揭示铁矿粉微观特性和其烧结制粒性能和烧结高温特性之间联系，为铁矿粉优化制粒和优化配矿提供新的途径。.（2）通过对烧结矿矿物微观形貌进行灰度拉升、直方图均衡化以及二值化处理等灰度特征处理，并进行Canny边缘，Gabor纹理提取图像纹理特征。明确不同矿物相的灰度特征值及纹理特征值，建立相应规则，高效识别烧结矿矿物相成相和快速计算出其数量。.以上研究成果可形成较完善的基于图像综合处理的铁矿石高效利用方法体系，为传统的铁矿石烧结技术插上了高效智能的翅膀，对实现铁矿石优化制粒和优化配矿等“智能化”具有十分重要的意义。