Yarn-dyed textiles are complementary to digital printing textiles. They promise high production and environmentally-friendly energy efficiencies. However, the complicated structures of color-blended composite yarns cause unpredictability of colors in textile products. This has become a roadblock in the development of environmentally-friendly textile products. In the present work, we propose a framework for the intelligent manufacture of color-blended composite yarn by combining color prediction with a self-developed computer numerically controlled (CNC) ring spinning system. The CNC ring spinning system consists of a ring spinning machine and an online management platform which can regulate yarn production by changing the speeds of the rollers and spindle, monitoring yarn quality and setting operational parameters through on-the-fly control; thus, one can manufacture the fiber assembly with tunable structures. Furthermore, an analytical model is set up to predict the color blending effect of the multicolored fabric made up of color-blended composite yarns. The optimized blending ratios of composite yarns are obtained based on the proposed linear model of parameter b, which are used to produce the multicolored fabrics. Overall, our work establishes a basis for manufacturing textile products with high energy efficiency within an intelligent weavable and environmentally-friendly dyeing framework.

色织纺织品是数字印刷纺织品的补充。它们保证了高产量和对环境友好的能源效率。然而，混色复合纱线的复杂结构导致纺织品中颜色的不可预测性。这已成为开发环保纺织品的障碍。在当前的工作中，我们提出了一种通过将颜色预测与自行开发的计算机数控（CNC）环锭纺纱系统相结合来智能制造混纺复合纱的框架。CNC环锭细纱机系统由一台环锭细纱机和一个在线管理平台组成，该平台可通过改变罗拉和锭子的速度，监控纱线质量并通过实时控制设置操作参数来调节纱线生产；因此，可以制造具有可调结构的光纤组件。此外，建立了一个分析模型来预测由混色复合纱线组成的多色织物的混色效果。基于提出的参数线性模型，获得了复合纱线的优化混纺比b，用于生产彩色织物。总体而言，我们的工作为在智能可织造和环保染色框架内生产高能效纺织品奠定了基础。