The invention discloses a self-adaptive presswork binding method based on
pressure feedback, and relates to the technical field of presswork binding. The method comprises the following steps: firstly, acquiring data such as a paper laminated structure and
stress distribution by utilizing equipment such as a terahertz time-domain
spectrometer, and analyzing paper components and
coating thickness; secondly, combining a
quantum annealing model with a digital twinning technology to optimize binding parameters, and predicting a
wrinkle risk; during binding, the
system establishes a pressure-displacement curve, piezoelectric
ceramic micro-vibration
friction reduction is adopted, and ultrasonic local
softening is triggered if pressure is abnormal; after binding, detecting the quality by means of
spectral domain OCT and Raman spectrum, and embedding a digital
watermark; and finally, constructing a
knowledge graph based on a graph neural network and a block chain, rapidly adapting to a new paper type through meta-learning, and realizing edge end deployment by using knowledge
distillation. According to the scheme, the binding qualification rate is greatly increased, the equipment loss is reduced, the new paper
adaptation time is shortened to 5 minutes from 2 hours, and the production efficiency is increased by nearly two times.