This invention relates to the field of intelligent manufacturing and production scheduling, specifically disclosing a method and
system for intelligent material scheduling in a thin-film
production line. The method includes: calculating the cumulative plastic
strain energy density of the
metal coating based on historical winding stress data, simultaneously constructing an unsteady disturbance field distribution map, identifying disturbance-
electrostatic coupling sensitive states, and generating a candidate material
queue; predicting the crack
propagation rate and
electrostatic discharge risk index based on the disturbance-crack propagation
transfer function and the electrostatic accumulation-dissipation equilibrium model, and dynamically generating a composite scheduling tolerance window; screening schedulable materials based on the tension
response characteristics predicted by the disturbance-tension
transfer function, performing progressive unwinding, and triggering dynamic reconstruction through
acoustic emission monitoring. This invention solves the problems of unwinding crack propagation and
discharge damage in
metal-coated thin films by tracing the winding stress history and sensing environmental disturbances and
electrostatic coupling effects, achieving closed-loop intelligent scheduling with multi-
physics risk
perception and dynamic tolerance capabilities.