摘要
为了实现低浓度混合染料间歇式染色过程织物色泽的在线测量,提出了一种基于卡尔曼滤波的软测量方法,该方法通过测定间歇染机中残液的吸光度,采用卡尔曼滤波算法来估计残液中各染料的浓度,再根据染料浓度与织物色泽的软测量模型计算出染机中织物色泽的三刺激值,并以3种活性染料拼染纯棉为例,对该方法的可行性进行验证。实例证明,基于卡尔曼滤波的软测量模型的色泽估计值与人工离线实测值之间的色差值在1.0(CIE LAB)之内,模型的估计值能够满足工艺要求。因此,该方法是有效可行的。
In order to measure fabric color in batch dyeing process with multi-dyes,a soft-sensing technique based on Kalman filtering is proposed.Kalman filtering method is used to predict the concentration of dyes through measuring the absorbency of dye solution in jet dyeing machine and then a soft-sensing model is developed and applied to predict the fabric color.The feasibility and validity of the proposed technique is verified by a pure cotton dyeing example with 3 reactive dyes.Experimental results show that the proposed soft-sensing technique has good measuring precision;and the color differences between the predicted value and the measured value are all less then 1.0（CIE Lab）,which meets the technical requirements of dyeing industry.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2011年第3期690-694,共5页
Chinese Journal of Scientific Instrument
基金
福建省科技计划重点项目(2009H0033)资助
关键词
间歇式染色
在线测色
软测量
卡尔曼滤波
batch dyeing
on-line color measurement
soft-sensing technology
Kalman filtering method
