The application discloses a plastic spraying link quality detection feedback method and
system, and relates to the field of plastic spraying
quality control systems.The scheme points comprise a
nozzle management module, the
nozzle management module allocates a unique electronic code to each
nozzle, monitors the parameters of each nozzle in real time, and calibrates the position of the nozzle regularly; a scheme
library module, the scheme
library module stores a plurality of plastic spraying master schemes, each master scheme corresponds to a specific type of product, the master scheme contains a plurality of sub-schemes of the product under different working conditions, and the scheme
library module establishes an association rule between the master scheme and the sub-scheme; the application fuses the
working environment changes through a multi-source sensor, and combines a
machine learning model to predict the best process parameter combination; the electronic code is used to realize independent control of a single nozzle, and a position
calibration algorithm is used to ensure uniform coverage of complex curved surface workpieces; a three-dimensional evaluation network covering the overall appearance, local
microstructure and performance indicators is used to realize
quality control from the macroscopic to the microscopic.