等厚度煤层灰分的低能γ射线在线检测理论与方法研究

Theory and Method of Real−time Detection of Ash Content in Coal Seams of Equal Thickness Using Low−energy Gamma Rays

  • 摘要: 针对质量厚度波动导致双能量γ射线在线灰分仪检测数据波动性大、测量误差显著等问题,提出一种基于低能γ射线的等厚度煤层灰分测量装置及方法。该装置通过固定煤层与探测器表面的最佳距离,恒定被测煤样的煤层厚度,同时实现被测煤样的粒度细化与粒径分布窄化,确保煤流表面平整性、密实度稳定性及水分一致性,为低能γ射线灰分检测构建了最优测量环境。以入洗孙疃−童亭及许疃−临肥重介精煤为研究对象,同步采样化验结果表明:两组煤样的化验灰分标准差分别为0.442和0.353,对应测量灰分标准差显著降低至0.337和0.206;以测量值与化验值的绝对误差均值作为评价指标,两组煤样的平均误差分别为0.32%和0.31%,均控制在0.50%的允许误差范围内。经参数标定与实验验证,该低能γ射线等厚度煤层测量方法展现出较高的灰分检测稳定性与准确性。

     

    Abstract: In response to significant data fluctuations and measurement errors in dual−energy gamma−ray online ash monitors caused by variations in mass thickness, this paper proposes an ash measurement device and method based on low−energy gamma rays with constant coal seam thickness. The device maintains the optimal distance between the coal seam and the detector surface and ensures a constant thickness of the coal sample. It simultaneously achieves refined particle sizing and a narrower particle size dis-tribution, ensuring a flat coal flow surface, stable compactness, and consistent moisture content. This establishes an optimal measurement environment for low−energy gamma−ray ash detection. Experimental results with heavy medium concentrate coal from the Sunyuan−Tongting and Xutuan−Linfei washing plants showed that the standard deviations of the measured ash content were significantly reduced to 0.337 and 0.206, respectively, compared to the corresponding laboratory−analyzed standard deviations of 0.442 and 0.353. Using the mean absolute error between measured and laboratory values as the evaluation metric, the average errors for the two coal samples were 0.32% and 0.31%, respectively, both within the permissible error limit of 0.50%. Following parameter calibration and experimental verification, this low−energy gamma−ray constant−thickness measurement method demonstrates high stability and accuracy in ash content detection.

     

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