基于AIGC技术的婴儿推车设计研究与实践

Research and Practice of Baby Stroller Design Based on AIGC Technology

摘要: 本文致力于探讨人工智能技术在婴儿推车设计中的应用，旨在通过AI实践以用户需求为导向的设计思想，并优化产品设计流程。我们采集了国内电商平台畅销婴儿推车的用户评论，运用词频分析以及语义分解将这些高频评价词分解为实际需求，并利用AHP层级分析方法对这些需求进行了优先级排序和权重分析，将具有权重信息及排序后的设计指令输入AI中，引导设计方案的生成。AI系统以其高效的处理能力，根据输入的用户需求快速生成了多款创新的婴儿推车设计方案。经过匹配验证，这些设计方案表现出较高的市场适应性和用户满意度。这一探索性成果为以用户为中心的AI辅助设计方法提供了有益洞见，并为该领域的进一步发展奠定了实践基础。

Abstract: This paper is dedicated to exploring the application of AI technology in baby stroller design, aiming at practicing user demand-oriented design ideas and optimizing the product design process through AI. We collected user reviews of the best-selling baby strollers on domestic e-commerce platforms, used word frequency analysis and semantic decomposition to decompose these high-frequency evaluation words into actual demands, and prioritized and weighted these demands using the AHP hierarchical analysis method, and input the design instructions with the weighted information and the sorted design instructions into AI to guide the generation of the design solutions. The AI system, with its highly efficient processing capability, quickly generates several innovative baby stroller design solutions according to the input user demands. With its efficient processing capability, the AI system quickly generates several innovative baby stroller design solutions based on the input user requirements. After matching verification, these design solutions show high market adaptability and user satisfaction. Utilizing word frequency statistics and AHP theory, it demonstrates how to quickly convert user feedback into actual requirements and use it as a guide for AI-assisted design. This exploratory result provides useful insights into the user-centered AI-assisted design methodology and lays a practical foundation for further development in this field.