The present application relates to the technical field of non-
woven fabric production quality control, in particular to a quality tracing method and
system for EVA laminated non-
woven fabric products, comprising: synchronously collecting
time sequence process parameters of the whole
production chain through a sensor network to generate original parameter flow bound with production volume, obtaining baseline,
rhythm and disturbance components through multi-scale
decomposition, and mapping them to product
raw material layer,
interface bonding layer and
surface layer to generate layered quality parameter set. A defect mode sample
library is constructed, potential defect evolution paths are identified through
unsupervised clustering, dynamic matching degree between current parameter set and early stage of defect evolution path is calculated in real time, and if the dynamic matching degree exceeds the threshold, parameter tracing and
root cause positioning of the corresponding process link are triggered. The present application realizes the hierarchical correlation between process parameters and product structure, can identify defect evolution characteristics in advance, and improves the accuracy and proactivity of EVA laminated non-
woven fabric quality tracing.