引用本文:孙虎,周洁,雷颜瑞.基于人机环境系统的喷流式挖藕机改良设计[J].包装工程,2019,40(22):130-135.
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基于人机环境系统的喷流式挖藕机改良设计
孙虎, 周洁, 雷颜瑞
西华大学,成都 610039
摘要:
目的 解决现阶段喷流式挖藕机使用感受不良的问题。方法 以喷流式挖藕机功能模型为基础结合“人—机—环境”系统建立喷流式挖藕机系统功能模型,对系统中影响产品的人体尺寸、用户操作行为习惯、喷流式挖藕机的作业环境及物理环境深入分析,结合分析结果在“人—机—环境”系统中对喷流式挖藕机进行改良设计。结论 用“人—机—环境”系统理论对喷流式挖藕机进行功能与造型的改良设计能够有效满足操作者的生理与心理需求;改良后的喷流式挖藕机操作简单、功能分布易识别,符合用户的操作习惯、降低错误和事故的发生率,能够提高产品的安全性及使用效率。这种改良设计模式,对其他农机化产品有着极大的借鉴作用。
关键词:  “人—机—环境”系统理论  喷流式挖藕机  造型改良
DOI:10.19554/j.cnki.1001-3563.2019.22.023
分类号:TB472
基金项目:四川省工业设计产业研究中心项目(GYSJ2019-008);2017年教育部人文社科研究艺术学青年项目阶段性成果(17YJC760101);西华大学校级教改课题资助项目(XJJG2017074)
Improved Design of Jet Flow Lotus Root Digger Based on Man-Machine Environment System
SUN Hu, ZHOU Jie, LEI Yan-rui
Xihua University, Chengdu 610039, China
Abstract:
The work aims to solve the problem regarding the bad feeling of using jet flow lotus root digger at present stage. Based on the function model of jet flow lotus root digger, and in combination with the "man-machine-environment" system, the function model of jet flow lotus root digger was established. An in-depth analysis on the body size, behavioral habit of the user operation and working environment and physical environment of the jet flow lotus root digger in the system that affected the product was carried out. Combined with the analysis results, in the "man-machine-environment" system, the design of jet flow lotus root digger was improved. The "man-machine-environment" system is applied to improve the function and modeling of the jet flow lotus root digger which can effectively satisfy the physical and psychological needs of the user. The improved jet flow lotus root digger is simple in operation and easy to identify the function distribution. It is in line with the user's operating habits, reduces the incidence of errors and accidents, and can improve the safety and use efficiency of the product. And this improved design model has a great reference for other agricultural machinery products.
Key words:  system theory of "man-machine-environment"  jet flow lotus root digger  modeling improvement

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