The invention discloses a flexible circuit board
production quality monitoring method and
system based on data feedback, and the method comprises the steps: collecting the physical parameters of development
etching, drilling and
copper plating processes, such as
line width, line distance, aperture, roundness and
copper thickness, and workshop temperature and
humidity and dust concentration data; generating a single-variable
control chart for a single-process physical parameter, generating a multivariable T2
control chart for a multi-
coupling parameter process, and calculating a process
stability index and a comprehensive fluctuation index; inputting the abnormal data into a BP neural network, identifying an abnormal mode type and outputting characteristic parameters; generating a parameter correction instruction according to the abnormal mode and the characteristic parameters, and adjusting equipment parameters in real time; recalculating the
process capability index based on the adjusted data, and triggering secondary feedback if the
process capability index does not reach the standard; and dynamically adjusting the threshold value of the
control chart according to the standard deviation and the mean value of the
process capability indexes of the continuous batches. Production key parameters are comprehensively covered, abnormity is found in time, accurate and comprehensive detection is achieved, real-time adjustment is achieved, stability and
controllability are ensured, and the product quality is improved.