一个基于模糊的QFD和ARIZ算法扫地机器人的设计
Zongming Liu1, Xinan Liang2, Xuhui Chen1
1School of Design and Art, Shaanxi University of Science and Technology, Xi'an, Shaanxi, China.
Heliyon
|October 17, 2024
概括
这项研究介绍了一种创新的智能机器人吸尘器设计,该设计结合了扫除,擦拭和消毒. 利用先进的算法,机器人有效地取代了人类的清洁任务,并通过障碍物进行全面的空间清洁.
科学领域:
- 机器人和智能系统 机器人和智能系统
- 人与机器人的交互
- 产品设计和工程 产品设计和工程
背景情况:
- 目前的机器人吸尘器缺乏集成的扫地,擦拭,消毒和废物收集功能.
- 需要先进的机器人解决方案来提高清洁效率和人机交互.
- 现有的技术不能完全满足全面的空间清洁要求.
研究的目的:
- 设计一个多功能智能机器人吸尘器,解决当前模型的局限性.
- 通过使用模糊质量函数部署 (FQFD) 和模糊分析层次过程 (FAHP) 将用户需求与技术规范集成.
- 使用发明性问题解决算法 (ARIZ) 解决设计冲突,并使用模糊顺序偏好技术 (FTOPSIS) 评估设计.
主要方法:
- 将模糊质量函数部署 (FQFD) 与模糊分析层次流程 (FAHP) 集成,以优先考虑用户要求.
- 应用发明性问题解决算法 (ARIZ) 来解决不一致性并产生创新的设计解决方案.
- 使用模糊顺序偏好技术 (FTOPSIS) 评估拟议的机器人吸尘器设计,以获得最佳性能.
主要成果:
- 开发了一种全新的多功能智能机器人吸尘器设计,集成扫除,擦拭和消毒功能.
- 设计有效地将用户需求转化为技术规格,确保用户满意度.
- 分析了障碍物导航的操作动态,证实了机器人在复杂的清洁任务中的有效性.
结论:
- 拟议的机器人吸尘器设计为自动化空间清洁提供了一个全面的解决方案,超越了目前的市场产品.
- 整合FQFD,ARIZ和FTOPSIS为开发以用户为中心的智能机器人系统提供了一个强大的框架.
- 这项研究提高了用户体验和客户满意度,指导智能清洁机器人的未来进展.
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