文化语义驱动的轨道装备涂装智能生成与决策优化

孙博文; 潘越; 文正; 荆子桐; 张紫絮

doi:10.19554/j.cnki.1001-3563.2026.12.004

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包装工程（设计栏目） ›› 2026, Vol. 47 ›› Issue (12) : 47-56. DOI: 10.19554/j.cnki.1001-3563.2026.12.004

专题：高端车辆装备智造系统创新

文化语义驱动的轨道装备涂装智能生成与决策优化

孙博文, 潘越, 文正^*, 荆子桐, 张紫絮

作者信息 +

Cultural Semantics-driven Intelligent Generation and Decision Optimization for Railway Equipment Livery Design

SUN Bowen, PAN Yue, WEN Zheng^*, JING Zitong, ZHANG Zixu

Author information +

文章历史 +

摘要

目的面向轨道装备涂装设计,构建文化语义驱动的智能生成与决策框架（CS-IGD）,探索意象需求的量化转译方法并实现工程约束下的候选方案评价与优选。方法首先,结合FKANO与AHP模型,对轨道装备涂装的视觉语义需求进行识别与权重计算;其次,利用Z-Image-Turbo并结合ControlNet控制机制与Canny边缘检测,在保持车辆几何轮廓与关键边界的基础上生成涂装候选方案;最后,引入德尔菲法构建Must-be预筛规则,应用TOPSIS多准则决策模型对候选方案进行排序。结果该框架能够生成具有一定文化语义一致性的涂装方案并在案例中提高方案筛选与评价过程的结构化程度。结论 CS-IGD框架为轨道装备涂装的前期方案生成和决策提供了一种可参考的方法路径。

Abstract

The work aims to develop a cultural semantics-driven intelligent generation and decision-making framework (CS-IGD) for railway equipment livery design, to explore the translation of imagery-based requirements and realize the evaluation and optimization of candidate schemes under engineering constraints. First, FKANO and AHP were used to identify visual-semantic requirements and calculate criterion weights. Then, Z-Image-Turbo was combined with the ControlNet mechanism and Canny edge detection to generate candidate livery schemes while preserving the vehicle outline and key structural boundaries. Finally, the Delphi method was introduced to construct Must-be pre-screening rules, and TOPSIS was used to rank the candidate schemes. The case results indicated that the framework could generate livery schemes with a certain degree of cultural-semantic consistency and improve the structured evaluation of generated alternatives. The proposed CS-IGD framework provides a methodological reference for early-stage generation and decision-making of railway equipment livery schemes.

导出引用1

孙博文, 潘越, 文正, 荆子桐, 张紫絮. 文化语义驱动的轨道装备涂装智能生成与决策优化[J]. 包装工程. 2026, 47(12): 47-56 https://doi.org/10.19554/j.cnki.1001-3563.2026.12.004

SUN Bowen, PAN Yue, WEN Zheng, JING Zitong, ZHANG Zixu. Cultural Semantics-driven Intelligent Generation and Decision Optimization for Railway Equipment Livery Design[J]. Packaging Engineering. 2026, 47(12): 47-56 https://doi.org/10.19554/j.cnki.1001-3563.2026.12.004

中图分类号： TB482 U270.2

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