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

SUN Bowen; PAN Yue; WEN Zheng; JING Zitong; ZHANG Zixu

doi:10.19554/j.cnki.1001-3563.2026.12.004

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (12) : 47-56. DOI: 10.19554/j.cnki.1001-3563.2026.12.004

Special Subject: Innovation of Intelligent Manufacturing Systems for High-end Vehicle Equipment

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

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

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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.

Key words

railway equipment / livery design / AI-generated content (AIGC) / multi-criteria decision-making

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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

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