基于视觉传达要素的制造装备人机优化设计方法研究

发布时间：2018-04-01 00:11

本文选题：视觉传达要素　切入点：感知场　出处：《合肥工业大学》2015年博士论文

【摘要】：制造装备人机优化设计作为制造装备设计领域的一项关键问题,其设计水平的高低直接影响着制造装备系统人、机、环境和谐性以及整机的作业效率,对该问题的研究已逐渐成为企业与学术界研究的热点问题。视觉传达要素作为人机优化设计关键性能指标,研究将该指标用于制造装备的人机优化设计过程,实现对制造装备人机优化设计、评价对于提升制造装备整体设计水平有着重要的促进作用,因此开展基于视觉传达要素的制造装备人机优化设计研究有着重要理论研究意义与实践应用价值。本文受国家自然科学基金项目：“基于操纵力感知场的人机系统操纵舒适性度量方法及优化技术”(51375134)、安徽省自然科学基金项目：“基于差异化人机交互作用的汽车转向操纵舒适性研究”(1508085ME83)以及多项校企合作项目的资助,对基于视觉传达要素的制造装备人机优化设计的基本方法及其评价分析模型问题开展研究,主要的研究内容如下：(1)在系统分析点、线、面、图形、版式、色彩等典型视觉传达要素的基础上,对制造装备进行人机优化的关键视觉传达要素进行了阐述,确立了制造装备人机优化的关键视觉传达要素色彩、造型以及材质,为人机优化设计以及评价模型提供了具体设计指标与优化方向。(2)通过采用关键视觉特征参数与制造装备功能匹配的分析方法,分别从色彩、造型、材质三个关键视觉传达要素维度出发,分别构建制造装备人机优化设计定量化表征体系,在此基础上建立基于关键视觉感知特性的制造装备人机优化设计方法,并为制造装备人机优化设计提供基础理论。(3)从色彩、造型、材质三个分析维度出发,分别以设备自身协调性、环境协调一致性以及隐性功能展示性优化目标,建立分项优化指标,通过应用基于综合模糊权重的分析方法,分析各指标的权重,进而建立色彩、造型、材质三个维度的视觉感知评价模型,以实现对制造装备人机优化设计的评价与分析。(4)针对工业现场人机交互界面,采用基于视锥细胞的人机交互界面感知强度界定模型,实现对人机交互界面各区域视觉感知强度的分析与界定；在分析人机交互界面视觉感知元素特性的基础上,采用基于优序法的权重等级划分方法,实现对视觉感知元素权重等级的科学度量；建立基于视觉传达指数的人机交互界面优化布置模型,为制造装备人机交互界面的优化设计提供方法支撑。(5)以典型的实际制造装备为例,结合本文提出的制造装备人机优化设计方法,应用实体建模技术,构建实体虚拟模型与优化设计虚拟模型,依据本文的制造装备优化设计评价模型进行分析,验证设计方法与评价标准的可行性。最后并以某一汽车零部件制造企业新建的制造装备系统为应用对象,结合虚拟建模技术,系统性将基于视觉传达要素的人机优化设计方法进行了应用研究。
[Abstract]:As a key problem in the field of manufacturing equipment design, the design level of man-machine optimization of manufacturing equipment has a direct impact on the human, machine and environment harmony of manufacturing equipment system, as well as the working efficiency of the whole machine.The research on this issue has gradually become a hot issue in enterprises and academia.As the key performance index of man-machine optimization design, the visual communication factor is used in the process of man-machine optimization design of manufacturing equipment, and the man-machine optimization design of manufacturing equipment is realized.Evaluation plays an important role in promoting the overall design level of manufacturing equipment, so it has important theoretical research significance and practical application value to carry out the research on human-machine optimization design of manufacturing equipment based on visual communication elements.This paper is sponsored by the National Natural Science Foundation of China: "the Measurement method and Optimization Technology of maneuvering comfort of Human-Computer system based on manipulative Force perception Field" 51375134, Anhui Natural Science Foundation Project: "Steam based on differential Human-Computer interaction"The study on steering comfort of vehicle steering, and the financial support of several cooperation projects between schools and enterprises,This paper studies the basic method of human-computer optimization design of manufacturing equipment based on visual communication elements and its evaluation and analysis model. The main research contents are as follows: 1) in the system analysis points, lines, surfaces, graphics, layout,On the basis of typical visual communication elements such as color, the key visual communication elements of man-machine optimization of manufacturing equipment are expounded, and the key visual communication elements of man-machine optimization of manufacturing equipment, such as color, shape and material, are established.It provides the concrete design index and optimization direction for the man-machine optimization design and evaluation model. By adopting the analysis method of matching the key visual characteristic parameters with the function of the manufacturing equipment, the color, the shape, the modeling,On the basis of three key visual communication factors, the quantitative representation system of human-machine optimization design of manufacturing equipment is constructed, and the human-machine optimization design method of manufacturing equipment based on the key visual perception characteristics is established.And provides the basic theory for the man-machine optimization design of the manufacturing equipment. (3) from the color, the modelling, the material analysis dimension, separately with the equipment own coordination, the environment coordination consistency and the recessive function demonstration optimization goal.Through the analysis method based on comprehensive fuzzy weight, the weight of each index is analyzed, and then the visual perception evaluation model of color, shape and material is established.In order to realize the evaluation and analysis of the man-machine optimization design of manufacturing equipment. (4) aiming at the human-computer interaction interface in industrial field, the perceptual intensity model of human-computer interaction interface based on cone cell is adopted.On the basis of analyzing the characteristics of visual perception elements of man-machine interaction interface, the weight hierarchy method based on superior order method is adopted.To realize the scientific measurement of the weight level of visual perception elements, to establish a human-computer interaction interface optimization layout model based on visual communication index,To provide method support for the optimization design of man-machine interactive interface of manufacturing equipment. (5) taking typical actual manufacturing equipment as an example, combining with the man-machine optimization design method of manufacturing equipment proposed in this paper, the solid modeling technology is applied.The virtual model of entity and the virtual model of optimal design are constructed and analyzed according to the evaluation model of optimal design of manufacturing equipment in this paper. The feasibility of the design method and evaluation standard is verified.Finally, taking the newly built manufacturing equipment system of a certain automobile parts manufacturing enterprise as the application object and combining with the virtual modeling technology, the human-computer optimization design method based on the visual communication elements is systematically studied.
【学位授予单位】：合肥工业大学
【学位级别】：博士
【学位授予年份】：2015
【分类号】：TB18;TP391.41

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