Production line and equipment prediction method based on migration component regression

The invention provides a production line and equipment prediction method based on migration component regression. The method comprises the following steps: S1, acquiring data information of a production line and equipment; s2, judging whether the subject prediction task has label data or not according to the data information, and dividing source domain data and target domain data; wherein the source domain data comprises multiple pieces of feature data of the production line and label data in multiple directions; for a specific target domain thermal error prediction task, target domain feature data are acquired through a data acquisition platform; s3, performing migration component analysis on the source domain data and the target domain feature data, and performing calculation to obtain feature mapping; s4, establishing a regression prediction model of the source domain data in the high-dimensional space and the thermal error label data in the original space; s5, finely adjusting model parameters to obtain a