摘要
目的基于TRIZ理论对老龄服务机器人用户需求、配置原理及人机关系进行分析,并运用GA算法进行优化。方法首先利用五阶问卷、层次分析法对老年人行为特征进行剖析,得出老年人具体的功能需求。结合TRIZ理论推导出老龄服务机器人的功能结构模型。其次利用物-场模型建立较为完善的老龄服务机器人新型人机系统设计模型。在功能模型与系统模型的基础上,利用物理矛盾原理推导出老龄服务机器人的配置原理,并运用技术矛盾原理对其进行设计改进,最后利用GA算法寻求最优解,将其具象化并用主成分综合评价验证研究成果。结果在满足老年人需求的基础上,提出了功能模型、新型人机模型及配置模型。结论提出了老龄服务机器人配置原则及优化方法与设计指标,以期为后续老龄服务机器人交互设计及人机界面设计提供理论依据。
The work aims to analyze the user demands,principle of structure and human-robot relationships about service robot for the elderly based on the TRIZ theory,and use GA to optimize the design.Firstly,five-stage questionnaire survey and analytic hierarchy process were used to analyze the behavioral characteristics of the elderly to obtain the specific functional needs of the elderly.Combined with the TRIZ theory,the functional structure model of service robot for the elderly was derived.Secondly,the object-field model was used to establish a relatively complete design model of the new human-robot system for service robot for the elderly.Based on the functional model and the system model,the principle of physical contradiction was used to derive the configuration principle of service robot for the elderly.The principle of technical contradiction was used to improve the design.Finally,the GA was used to find the optimal solution,and visualize it and verify the research results with the principal component comprehensive evaluation.On the basis of meeting the needs of the elderly,the functional model,HRS model and structural mode are proposed.Configuration principles,optimization methods and design indicators for service robot for the elderly were proposed to provide theoretical basis for subsequent robot design.
作者
王秋惠
牛志通
刘力蒙
WANG Qiu-hui;NIU Zhi-tong;LIU Li-meng(School of Mechanical Engineering,Tianjin Polytechnic University 300387,China;College of Engineering,Purdue University,West Lafayette 47907,USA)
出处
《包装工程》
CAS
北大核心
2020年第24期62-69,共8页
Packaging Engineering
基金
教育部人文社会科学规划基金项目《老龄服务机器人界面设计评价指标研究》(19YJAZH093)。
关键词
TRIZ
遗传算法GA
HRS人因系统
功能配置
设计优化
老龄服务机器人
TRIZ
genetic algorithm(GA)
human-robot system(HRS)
function allocation
design optimization
service robot for the elderly
