采用原位统计分布分析技术得到与样品原位置相对应的数以万计原始信号并对其进行系统解析，实现不同质量连铸钢坯试样的疏松度、均匀度以及夹杂物含量的定量表征。准确计算了连铸钢坯试样疏松度、碳元素的最大偏析度。提出铸坯各原位置成分含量的权重比率方法用以表征材料的均匀度，并提供了统计分布允许差范围内（C₀±R）所占权重比率以及权重比率为95%置信度时，中位值置信扩展率（K）等2种判断模式。该方法以测量信息的原始性、原位性及统计性为特征，反映了连铸钢坯较大尺度范围内各化学组成及其形态的定量统计分布规律。采用上述方法可以合理解释连铸钢坯之间的质量差异性，可作为连铸钢坯质量的判断依据。

On the basis of analysis of tens of thousands of primary signals corresponding to original positions of sample systematically, the degree of porosity, the degree of homogeneity and inclusions of billets can be quantitatively determined. The degree of porosity and the maximum degree of segregation for different billets were calculated accurately in the present paper. The weight ratio of carbon content at each original position of billet was suggested to express the degree of homogeneity of billets. Correspondingly, two models-the total weight ratio of carbon contents within the permissive content range (C₀±R) and the confidence extension ratio of median value (K) at 95 % of confidence limit of weight ratio, were provided for practical billet samples analysis. This analysis technique was characterized by the primary, original and statistical nature of measured information, thus the quantitative statistic distribution analysis of chemical elements and their states in larger scale was realized. The quality differences among the billet samples were explained reasonably by above method. Thus, this technique can be used to judge the quality of billet samples.