摘要
为了提高织物染色产品的质量,分析企业的生产数据建立染色生产中色花和色差的质量预测概率模型。首先,对实际的染色过程进行研究,详细分析染色生产过程的每一环节,并且利用串联结构模型描述各影响因素之间、因素与各环节之间,各环节与最终染色质量之间的关系。在此基础上利用概率论的相关知识建立更为准确的质量预测模型,通过串级结构模型对染色质量进行分析,预测出染色生产中质量不合格的概率,并用实际生产数据验证了该模型和方法的有效性。
In order to improve the quality of fabric dyeing products,the prediction probability model for quality of dyeing defects and color difference in dyeing production is established by analyzing the production data of the enterprise in this paper.First,the actual dyeing process is studied,each link of the dyeing production process is analyzed in detail,and the tandem structure model is used to describe the relationships among various influencing factors,between the factors and each link,and between each link and the final quality result.On this basis,the relevant knowledge of probability theory is used to establish a more accurate quality prediction model,which predict the probability of unqualified quality in dyeing production by analyzing dyeing quality with tandem structure model.Finally,the effectiveness of the model and method is verified by using the actual production data.
作者
周丽春
罗孝雯
金福江
王珏
ZHOU Li-chun;LUO Xiao-wen;JIN Fu-jiang;WANG Jue(College of Mechanical Engineering and Automation,Huaqiao University,Xiamen 361021,China)
出处
《控制工程》
CSCD
北大核心
2021年第7期1328-1333,共6页
Control Engineering of China
基金
福建省科技计划项目(2017H0022)
福建省产学研重大项目(2016H6015)。
关键词
染色过程
质量分析
质量预测
数据分析
Dyeing process
quality analysis
quality prediction
data analysis