The invention provides a product
production quality inspection management method and
system based on
quantum sensing, and relates to the technical field of industrial
automation and
quantum detection, and the method comprises the steps: collecting the
quantum phase difference,
spin relaxation time and
energy density data of a product through a quantum sensing array; performing
quantum state decoupling
processing on the multi-dimensional
field data, and extracting a quantum
hue consistency coefficient and a structure anomaly index; constructing a multi-scale
convolutional neural network to generate a three-dimensional quality feature
tensor; dynamically optimizing a defect judgment threshold value based on a
quantum annealing algorithm; and generating a visual thermodynamic diagram and triggering a
process control instruction. The
system comprises a quantum sensing module, an
edge computing unit, a dynamic decision engine, a man-
machine interaction terminal and a
feedback control module, and closed-loop management is realized through multi-
physics field synchronous acquisition and real-
time control. According to the method, traditional detection resolution limitation is broken through by utilizing quantum sensing,
micro defects are accurately identified, and complex working conditions are adapted through dynamic threshold optimization.