ABSTRACT

To accurately predict the product yield during coal preparation plant design, an arctangent model is proposed, and the derivation process of parameters in the model is described. To determine the adequacy and reliability of the model, a statistical analysis approach is used, and the accuracy of the model was verified using the prediction data of usual approximate formula method (AFM) and the actual data. Compared with the actual distribution rate, the error of distribution rate predicted by the model is larger near the separation density. These results are similar to those obtained using AFM. The distribution curves of predicted data fitting based on arctangent model are closer to the actual distribution curve than that fitted based on the approximate formula predicted data. Compared with the actual clean coal yield, the absolute error predicted by the model is between –1.09 and 0.50 for the test sample, while the absolute error of AFM is between –1.91 and 1.04 for the test sample. Thus, it is verified to be better and more reasonable than the usual AFM. The model is helpful to improve the design level of coal preparation plant.

摘要

为了准确预测选煤厂设计过程中的产品产量，提出了反正切模型，并描述了模型中参数的推导过程。为了确定模型的充分性和可靠性，使用统计分析方法，并使用常规近似公式方法（AFM）的预测数据和实际数据验证了模型的准确性。与实际分配率相比，模型在分离密度附近预测的分配率误差较大。这些结果与使用AFM获得的结果相似。基于反正切模型拟合的预测数据的分布曲线比基于近似公式预测数据拟合的分布曲线更接近实际分布曲线。与实际的洁净煤产量相比，该模型预测的测试样品的绝对误差在–1.09至0.50之间，而AFM的绝对误差在测试样品在–1.91至1.04之间。因此，它被证明比通常的原子力显微镜更好，更合理。该模型有助于提高选煤厂的设计水平。