摘要
系统分析了煤炭机械化采样过程中可能存在的偏倚问题及其影响,创新性地提出了一种基于数学模型的采样偏倚的优化方法。经过实验与数据分析发现,该方法能够有效降低采样偏倚值,提高采样精度,改善煤炭采样质量。
The possible bias problem and its influence in coal mechanized sampling were systematically analyzed,and an optimization method of sampling bias based on mathematical model was innovatively proposed.Through the experiment and data analysis,it is found that this method can effectively reduce the sampling bias value,improve the sampling precision and improve the sampling quality of coal.
作者
金波
JIN Bo(Coal Department(Bohai New District,Cangzhou)Coal Testing Co.,LTD.,Cangzhou 061113,China)
出处
《煤炭加工与综合利用》
CAS
2024年第2期63-66,共4页
Coal Processing & Comprehensive Utilization
关键词
煤炭
机械化采样
偏倚值
优化方法
采样精度
采样质量
coal
mechanized sampling
bias value
optimization method
sampling accuracy
sampling quality