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Soft-sensing method of color measurement in batch dyeing process of knitted cotton with reactive dyes

机译:活性棉针织棉分批染色过程中颜色测量的软传感方法

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For the on-line measurement of the fabric color in the batch dyeing process, a novel method is proposed based on soft-sensor. In this method, the concentrations of the dyestuff in a jet dyeing machine are selected as the soft sensor's inputs, and the the fabric color is the output. A nonlinear model, which relates the absorbance with the concentrations of the dyestuff, is obtained based on the experiments and the regression analysis method. Using this nonlinear model, the concentrations of the dyestuff during the dyeing process are measured by the extended Kalman filter(EKF). Further, the soft-sensing model is proposed to predict the fabric color by the obtained concentrations of the dyestuff. The numerical results for the soft-sensing method of color measurement in the dyeing process of knitted cotton using reactive dyes are compared to the experimental results, leading to good agreement between theory and experiment. This demonstrates that this soft-sensing model is able to predict the fabric color in the textile industries for the batch dyeing process.
机译:针对间歇染色过程中织物颜色的在线测量,提出了一种基于软传感器的新方法。在这种方法中,选择喷射染色机中染料的浓度作为软传感器的输入,而织物颜色作为输出。根据实验和回归分析方法,建立了一个非线性模型,该模型将吸光度与染料浓度联系起来。使用该非线性模型,通过扩展卡尔曼滤波器(EKF)测量染色过程中的染料浓度。此外,提出了软感模型以通过所获得的染料浓度来预测织物的颜色。将针织棉在使用活性染料染色过程中进行颜色测量的软感方法的数值结果与实验结果进行了比较,从而使理论与实验之间取得了很好的一致性。这表明该软传感模型能够预测纺织工业中用于分批染色过程的织物颜色。

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