煤炭机械化采样随机误差分析

分析了煤炭机械化采样过程各环节的随机误差,用方差表示了单个初级子样、单个总样、批煤多个总样各试验结果所包含的随机误差成分,并将机械化采制化分为采取初级子样、在线制样、离线制样、化验4个阶段,同时提出了双倍切割样双份采样法、例行切割样双份采样法和弃样回收法3种方法核验各阶段随机误差。研究表明:机械化采样过程中各阶段误差可以分开核验,也可以将相联系的某些阶段整体核验;在线制样方差是估算采样单元子样数的重要影响因素,其影响系数与初级子样方差相当,可以将二者整体核验;各阶段随机误差核验方法可以为设计合理的机械化专用采样方案提供参考。

Random error analysis of coal mechanical sampling

Analyze the random errors in every process of coal mechanical sampling, the variance serves to represent the random errors in test results of the single primary increment, the single gross sample and a series of gross samples. The process of coal mechanical sampling can be divided into four stages which are taking primary increment, on-line sample preparation, off-line sample preparation and testing. Provide three methods to check the random errors of each stage, which are duplicate sampling with double cuts, duplicate sampling during routine cuts and recovering waste samples. The errors of each stage can be checked either separately or as a whole if there is connection between certain stages. The variance of on-line sample preparation is an important parameter to estimate the number of increments in a sampling unit, whose influencing coefficient is the same as that of the primary increment variance, so the two stages can be checked as a whole. The methods of checking the random errors of each stage would give reference for the design of dedicated mechanical sampling scheme.