基于KANO模型的智能沙滩垃圾清理车设计研究

Design Research of an Intelligent Beach Waste Collection Vehicle Based on the KANO Model

摘要: 目的：针对传统沙滩垃圾清理车的痛点，致力解决沙滩垃圾堆积问题，提升清理效能、降低运维成本，为滨海生态保护与城市垃圾清理提供产品改进方案。方法：以KANO模型为核心工具，通过问卷、实地调查、访谈获取需求；用“正向–反向”KANO问卷划分必备、期望、魅力三类质量需求；借助AIGC技术优化外观，构建“起沙–传送–分离–分类–平整”一体化结构，集成智能垃圾识别、无人驾驶等模块，通过访谈验证需求优先级与设计可行性。结论：从“智能分类与清理一体化”、“无人驾驶与运维便捷化”两方面对沙滩垃圾清理车进行改进设计。填补中小型智能沙滩清理设备的空白，满足用户核心需求，支持多场景沙滩管理，助力环境可持续发展。

Abstract: Objective: Addressing the pain points of traditional beach waste collection vehicles, this study aims to resolve beach litter accumulation issues, enhance cleaning efficiency, reduce operational costs, and provide product improvement solutions for coastal ecological conservation and urban waste management. Method: Employing the KANO model as the core tool, requirements were gathered through questionnaires, field surveys, and interviews. A “forward-reverse” KANO questionnaire categorized quality demands into three tiers: must-have, desirable, and delight. Leveraging AIGC technology optimized the exterior design, establishing an integrated “scoop-convey-separate-sort-level” structure. This incorporates modules like intelligent waste recognition and autonomous driving, with interview-based validation confirming demand priorities and design feasibility. Conclusion: The beach waste collection vehicle was redesigned with dual enhancements: “integrated intelligent sorting and collection” and “autonomous operation with simplified maintenance”. This innovation fills the gap in compact intelligent beach cleaning equipment, fulfills core user needs, supports multi-scenario beach management, and advances environmental sustainability.