Finally, through in-depth analysis and test comparison of the prediction effects of the above three prediction methods on each output factor, based on the characteristics of each yarn index and the amount of data of the spun yarn variety,a simple and efficient yarn quality forecasting model based on multi-dimensional fusion is constructed.