膏体材料快速评估方法

S. Artemova, A. I. Ladynin, Tri Vu Chien, M. M. Kamenskaia, Tatiana A. Ryabchik
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引用次数: 0

摘要

在干燥过程控制中,根据制成品和生产率质量损失最小化的标准,膏体物料水分的快速评估是一个重要的任务。由于控制对象的特征数、干燥过程或控制过程本身的原因,已知的测量装置不能用于达到上述制定的标准。为此,提出了一种膏体物料干燥过程中水分快速评估的方法。该方法以神经网络为特征,建立在膏体物料干燥过程中影响最显著参数的样本基础上。本文提供了所述方法的使用实例实现装置。所开发的方法可以实时评估膏体材料干燥过程中的水分,相对误差小于2%,这使得快速控制行动合成成为可能,旨在最大限度地减少所需的标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pasty Materials Prompt Assessment Method
During drying process control according to the manufactured products and productivity quality loss minimization criteria, an important task is rapid pasty materials moisture assessment. Due to a control object features number, the drying process, or the control process itself, the known measuring devices cannot be used to achieve the criteria formulated above. Therefore, a method is proposed for the paste material moisture rapid assessment during its drying. The method features neural networks, built on pasty materials drying process most influent parameters’ significant sample basis. The article provides the described method usage example implementing device. The developed method makes it possible to evaluate pasty material moisture during its drying in real-time with a relative error less than 2%, which makes rapid control action synthesis possible, aimed to minimize the desired criteria.
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