2024 Generate

工业设计 产 / 品设计 INDUSTRIAL DESIGN/ PRODUCT DESIGN

Lin Wenting

林文霆 王萌

Teacher Wang Meng

指 导 老 师

26 / 27 毕业设计作品集-0328.indd 26

ShapeMinds AI: 基于提示工程的汽车造型设计流程优化与应用 ShapeMinds AI: Automobile Styling Design Process Optimization and Application Based on Prompt Engineering ShapeMinds 是 一 款 基 于 Stable Difusion（ 文 本 到 图 像 生 成模型）的 AIGC 汽车造型设计生成平台。ShapeMinds 通 过调研生成式产品的应用痛点，结合 ChatGPT Agent 搭建 ComfyUI 工作流和 InstantMesh， 在设计流程中使用不同精 度的模型和线稿作为生成的引导条件，优化了汽车造型生成流 程的操控性，让设计师成为 AIGC 的主导者；同时引导用户参 与共创，通过组件，快速探索造型。 设计亮点有：

(1) 对于设计师，增强造型生成的可控性，从“抽卡”转变为 保留满意特征的多轮生成； (2) 组合 InstantMesh、差异扩散（Differential Diffusion）等 技术，实现多视角生成的一致性，利于局部再调整； (3) 以组件化的形式，引导用户参与个性化共创，分析用户喜好。 ShapeMinds is an AIGC automotive styling design generation platform based on stable difusion. By investigating the application pain points of generative products, combined with ChatGPT Agent to build ComfyUI workfow and InstantMesh, models and line drafts of diferent precisions are used as guide conditions for generation in the design process, which optimizes the controllability of the automotive styling generation process and allows designers to become the leaders of AIGC. At the same time, it guides users to participate in cocreation and quickly explore styling through components.

Design highlights include: (1) For designers, the controllability of styling generation is enhanced, from a “random draw” approach to iterative generation that preserves satisfactory features.

(2) Combining technologies such as InstantMesh and Differential Diffusion to achieve consistency in multiperspective generation, which is conducive to local readjustment.

(3) In the form of components, it guides users to participate in personalized cocreation and analyzes user preferences.

2025/9/1 20:40

毕业设计作品集-0328.indd 27

2025/9/1 20:40

工业设计 产 / 品设计 INDUSTRIAL DESIGN/ PRODUCT DESIGN

Liu Boyan

刘 泊 岩

刘力丹

Teacher Liu Lidan

指 导 老 师

28 / 29 毕业设计作品集-0328.indd 28

基于 LLM 的企业新人培训工具套件设计 A Design of a Suite of Corporate Newcomer Training Tools Based on a Large Language Model 在现代企业中，新员工的培训有助于员工适应工作环境，熟

悉工作内容，提高劳动生产率，为企业带来利润。然而，目

前部分工作岗位对职业技能要求较高，许多企业新员工的培 训方法还停留在“师徒模式”，这不仅仅影响了新员工的培 训效率，也降低了资深员工的工作效率。随着人工智能技术 的发展，大语言模型在自然语言处理、数据分析和推荐系统 方面的能力也不断提高，这为本项目的实践提供了可能。故

本项目旨在利用大语言来设计实现一个基于大语言模型的企 业新人培训工具套件，通过自动化、标准化的方式培养企业 新人，探索大语言模型在企业新人培训方面的应用潜力。

In modern enterprises, the training of new employees helps employees adapt to the working environment, familiarize themselves with the work content, improve labor productivity, and bring profits for the enterprise. However, at present, some jobs require high vocational skills, and the training method for new employees in many enterprises still stays in the “master and apprentice mode”, which not only affects the training efficiency of new employees, but also reduces the work efficiency of senior employees.

With the development of artificial intelligence technology, the ability of Large Language Model in natural language processing, data analysis and recommendation system is also improving, which provides a possibility for the design practice of this project. Therefore, the purpose of this project is to design and implement an enterprise newcomer training tool suite based on Large Language Model using Large Language, to train enterprise newcomers in an automated and standardized way, and to explore the potential of Large Language Model in the application of enterprise newcomer training.

2025/9/1 20:40

毕业设计作品集-0328.indd 29

2025/9/1 20:40

工业设计 产 / 品设计 INDUSTRIAL DESIGN/ PRODUCT DESIGN

Liu Yiyang

刘 奕 扬

刘震元

Teacher Liu Zhenyuan

指 导 老 师

智慧门诊辅行产品 Auxiliary Vehicle Design for Intelligent Outpatient Clinics 随着全球老龄化问题加剧，老年人的健康与生活质量成为社 会关注焦点。本设计旨在开发一款基于智慧空间的共享辅行 产品，解决老年人在医院中行动不便、无法应对复杂的就医

流程及存在数字鸿沟等问题。本设计通过自主导航与多功能

HMI 系统，为老年患者提供精准的院内导航和全方位的多种 辅助服务，能够显著提升他们的就医体验与生活质量。未来， 将进一步优化产品设计，拓展更多的应用场景，为智慧医院 建设和应对老龄化社会问题提供有效的解决方案。

As global aging intensifies, the health and quality of life of the elderly are becoming pressing societal concerns. This design introduces a shared mobility aid product based on smart space technology to address challenges faced by elderly patients in hospitals, such as limited mobility, complex medical procedures, and the digital divide.

Integrating autonomous navigation and a multifunctional HMI system, the design offers precise hospital navigation and comprehensive assistance, significantly enhancing their medical experience and quality of life. Future iterations will refine the design and explore broader applications to support smart hospital development and tackle aging-related societal issues.

30 / 31 毕业设计作品集-0328.indd 30

2025/9/1 20:40

毕业设计作品集-0328.indd 31

2025/9/1 20:40