人工智能生成内容在包装工程中的创新应用研究综述

李公伟

doi:10.19554/j.cnki.1001-3563.2025.23.027

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包装工程（技术栏目） ›› 2025, Vol. 46 ›› Issue (23) : 253-263. DOI: 10.19554/j.cnki.1001-3563.2025.23.027

自动化与智能化技术

人工智能生成内容在包装工程中的创新应用研究综述

李公伟

作者信息 +

Review of Innovative Applications of Artificial Intelligence Generated Content in Packaging Engineering

LI Gongwei

Author information +

文章历史 +

摘要

目的面向包装行业个性化、智能化及可持续性需求,探究人工智能生成内容（AIGC）技术在包装工程中的创新应用路径,破解国内外研究中跨学科整合不足、可持续材料研发滞后等难题,助推智能包装升级和绿色发展。方法剖析国内外研究现状,从包装设计、材料研发、质量检测、物流供应链及可持续发展全流程出发,阐释AIGC技术在流程提效、材料性能分析、缺陷可视化检测、供应链优化及废弃物循环利用中的应用逻辑,依托数据驱动和算法优化构建技术应用框架。结果 AIGC实现了包装设计效率的提升和个性化定制,辅助缩短了可持续材料的研发周期,显著提高了质量检测准确率,有效减少了物流供应链材料的浪费,并构建了“设计-回收”全链路环保体系。结论 AIGC通过重构包装行业“经验设计”逻辑,为包装工程提供从智能优化到可持续发展的技术支撑,推动了行业向“算法最优”“精准可持续”转型,对提升包装行业竞争力和环境效益具有关键价值。

Abstract

The work aims to explore innovative application pathways for Artificial Intelligence Generated Content (AIGC) technology in packaging engineering, to tackle challenges such as insufficient interdisciplinary integration in domestic and international research and the lag in sustainable material development, thereby driving intelligent packaging upgrades and green development and addressing the packaging industry's demands for personalization, intelligence, and sustainability. By analyzing the current research landscape domestically and internationally, the study elucidated the application logic of AIGC technology across the entire packaging workflow - encompassing packaging design, material R&D, quality inspection, logistics supply chain, and sustainable development. Specifically, it examined its role in process efficiency enhancement, material property analysis, visual defect detection, supply chain optimization, and waste circularity. A technology application framework was constructed based on data-driven approaches and algorithmic optimization. AIGC applications demonstrated significant outcomes: enhanced packaging design efficiency and personalized customization capabilities; accelerated sustainable material development cycles; markedly improved accuracy in quality inspection; effective reduction of material waste within the logistics supply chain; and the establishment of a closed-loop eco-system integrating "design-recycling". AIGC technology provides crucial technical support for packaging engineering, shifting the industry from an "experience-based design" paradigm towards "algorithmic optimization" and "precision sustainability". By enabling intelligent optimization and driving sustainable development, AIGC holds key value in enhancing the packaging industry's competitiveness and environmental benefits.

导出引用

李公伟. 人工智能生成内容在包装工程中的创新应用研究综述[J]. 包装工程. 2025, 46(23): 253-263 https://doi.org/10.19554/j.cnki.1001-3563.2025.23.027

LI Gongwei. Review of Innovative Applications of Artificial Intelligence Generated Content in Packaging Engineering[J]. Packaging Engineering. 2025, 46(23): 253-263 https://doi.org/10.19554/j.cnki.1001-3563.2025.23.027

中图分类号： TB48

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