The invention discloses an
intelligent management method for liquidation receipts based on multi-
modal data fusion, and particularly relates to the field of
data analysis. Comprising the steps of S1,
multispectral data acquisition in a limited illumination environment, S2, cross-
modal feature decoupling and recombination, S3, space-time heterograph
neural network analysis, S4, multi-scale attention
decision fusion, S5, resistance enhancement
verification, and S6, incremental management based on knowledge
distillation. According to the method, the physical anti-counterfeiting capability is remarkably improved, the paper material, the ink components and the
surface structure are deeply analyzed through a multispectral sequence acquisition mechanism, and hidden tampering behaviors such as color
fading and chemical altering of the thermo-sensitive paper are accurately identified. Cross-
modal deep
correlation analysis is achieved in a breakthrough mode, a physical-semantic decoupling technology and a space-time heterogeneous graph network are adopted for modeling, and non-dominant laws such as commodity position offset and tax rate anomaly are effectively captured.