印染助剂2026，Vol.43Issue(8)：35-39,5.
印染助剂配伍方案与面料色牢度关联规则的数据挖掘分析
Data mining analysis on association rules between printing and dyeing auxiliaries compatibility scheme and fabric color fastness
摘要
Abstract
Fabric color fastness is a core physical indicator for evaluating the quality of textile printing and dyeing products,and the scientific compatibility of printing and dyeing auxiliaries exerts a decisive influence on various color fastness indexes.Traditional chemical compatibility schemes mostly rely on empirical accumula-tion and orthogonal experiments,which have engineering limitations such as long research and testing cycles and difficulties in analyzing nonlinear variable interactions.In this paper,data mining technology is adopted.Based on historical production data of textile enterprises,a model for mining association rules between print-ing and dyeing auxiliaries compatibility and fabric color fastness is established.After cleaning massive discrete and continuous data and conducting clustering discretization,the FP-growth algorithm is used to extract strong association rules between single auxiliaries,composite compatibility schemes and color fastness grades.Combined with molecular dynamics and interfacial chemistry theories,the microscopic chemical mech-anisms behind the rules are analyzed academically.The results show that the data mining model can accurate-ly quantify the synergistic color-fixing and antagonistic fading effects among auxiliaries.It provides a reliable quantitative basis for formula parameter optimization,rejection rate control and intelligent process decision-making in printing and dyeing production.关键词
印染助剂/面料色牢度/数据挖掘Key words
printing and dyeing auxiliaries/fabric color fastness/data mining分类
信息技术与安全科学引用本文复制引用
李言言..印染助剂配伍方案与面料色牢度关联规则的数据挖掘分析[J].印染助剂,2026,43(8):35-39,5.基金项目
陕西省"十四五"教育科学规划2025年度课题(SGH25Q511) （SGH25Q511）
