To control turbidity of water in washing machines barrel, the relationship of water's turbid degree and frequency using the turbidity sensor is researched and put forward.
为控制洗衣机桶内水的浑浊程度，研究并提出了把水的浑浊程度通过浑浊度传感器建立与频率的对应关系。
This paper gives a methodology based on data fusion and realized by artificial Neural Networks to improve the accuracy of SCM which is used to measure the degree of turbidity of water supplying.
为了提高流动电流仪（SCM）对自来水浊度检测的精度，文章提出了一种基于神经网络数据融合技术的数据处理方法。
Observing wash degree, bulging ratio and distributing of filtrating material. Measure turbidity of filtrate and reduction of hydraulic pressure.
观察反冲洗膨胀率、洗强度及滤层分布情况。测定滤后水浊度及水头损失。
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