Digital printing device image optimization system based on dynamic texture mapping

The image optimization system for digital printing equipment using dynamic texture mapping solves the local optimization problem of printing process under multi-physics coupling, realizes global optimization and dynamic response of printing parameters, improves printing quality and system adaptability, and is suitable for digital printing equipment in the field of intelligent manufacturing.

CN120781623BActive Publication Date: 2026-05-19SHENZHEN YINGYA PRINTING & PACKAGING CO LTD
View PDF 2 Cites 0 Cited by

Patent Information

Application Number
CN202510911208.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-07-02
Publication Date
2026-05-19
Estimated Expiration
2045-07-02

AI Technical Summary

Technical Problem

Existing printing processes are prone to getting trapped in local optima in multi-physics coupling scenarios. The generation of control commands lacks geometric constraint adaptability and is difficult to dynamically respond to material property drift, resulting in color step distortion and texture aliasing defects in printed products. Furthermore, traditional methods suffer from response lag and overshoot oscillation problems in high-speed continuous printing.

Method used

A digital printing equipment image optimization system based on dynamic texture mapping is adopted. The system acquires material data in real time through a multi-source sensing module, constructs a Riemannian manifold space through a dynamic manifold construction module, establishes covariant differential constraints between the texture feature tensor and the spectral response tensor in the manifold space through a joint optimization module, solves the problem using an improved quantum annealing algorithm through a quantum optimization module, and adjusts the manifold connection coefficient and quantum annealing parameters through a dynamic feedback control module to generate control commands.

Benefits of technology

It achieves global optimization of printing parameters and robust control within the process feasible domain, improving the smoothness of color transition and registration accuracy of high-precision gradient dot printing. It has the ability to adapt to material batch differences and environmental disturbances, ensuring printing quality stability and system reliability.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN120781623B_ABST
    Figure CN120781623B_ABST
Patent Text Reader

Abstract

The application relates to the field of intelligent manufacturing and printing processes, and discloses a digital printing equipment image optimization system based on dynamic texture mapping, which comprises the following steps: constructing a dynamic manifold representation space of printing parameters, realizing global optimization through a curvature-driven quantum annealing algorithm; designing an online correction mechanism of a connection coefficient and a multistage fault-tolerant protocol, establishing a differential homeomorphism mapping from quantum optimization results to execution instructions; extracting optimization features by using a manifold adaptive wavelet transform, and combining deep reinforcement learning to generate pulse shaping control quantities. The method breaks through the local extremum limitation of traditional optimization, realizes adaptive control under material property drift, solves the control mismatch problem caused by multi-physical field coupling, and improves the precision stability and working condition adaptability of complex texture printing.
Need to check novelty before this filing date? Find Prior Art