Research On The Human-Machine Optimization Design Method Of Manufacturing Equipment Based On Visual Communication Elements

As a key issue in the field of manufacturing equipment design, the design level of human-machine optimized design of manufacturing equipment directly affects human, machine, harmony with the environment and work efficiency of manufacturing equipment system. And the research on it has gradually become a hot issue in the enterprises and the academic. As the key performance indicator of human-machine optimized design, visual communication element is used in human-machine optimized design of manufacturing in the study. Implementing the design and evaluation of human-machine optimization plays an important role in enhancing the design’s whole level of manufacturing equipment.Therefore, it is of theoretical significance and practical value to study the human-machine optimized design method of manufacturing equipment based on visual communication elements.Funded by Natural Science Foundation of China, "Handling Comfort Measurement Method and Optimization Technology in Man-Machine System Based on Operating Force Perception" (51375134), Natural Science Foundation of Anhui Province, "Research on Vehicle-Steering and Handling Comfort Based on Differentiating Human-Computer Interaction" (1508085ME83), and many Joint-School Projects, the dissertation studies the basic approaches and the model evaluation and analysis of the human-machine optimized design of manufacturing equipment based on visual communication elements. The main contents are as follows.(1) Based on analysis of visual communication elements (dot, line, surface, figure, layout and color etc.), the dissertation explains the key visual communication elements of the human-machine optimized design of manufacturing equipment, establishes the key visual communication elements of the human-machine optimized design of manufacturing equipment:color, shape and material, and also provides the specific design index and the optimized direction for human-machine optimization and evaluation model.(2) With the analytical method of key visual characteristic parameters and manufacturing equipment function matching, the dissertation establishes quantitative characterization system of the human-machine optimized design of manufacturing equipment from three key visual communication elements-color, shape and material respectively. On this foundation, the author builds human-machine optimized design of manufacturing equipment based on key visual perceptual property, and thus providing the theoretical basis for human-machine optimized design of manufacturing equipment.(3) The author optimizes the target and builds sub-optimized index with coordination of the equipment, the environment consistency and the display of latent function from color, shape and material. By applying fuzzy weight based on an integrated analysis method, the dissertation analyzes weight of each index. Furthermore, the author builds the visual perception evaluation model based on color, shape and material to achieve the evaluation and analysis of human-machine optimized design of manufacturing equipment.(4) Aiming at HMI(Human Machine Interaction) interface for the industrial field, the definition model of sensing intensity of HMI interface which is based on the cone cells is applied to analyze and define visual perception intensity of all zone of HMI interface. Based on the analysis of visual perceptional elements of HCI interface, the priority grading method is scientifically used to measure the visual perceptional gradation, and HMI interface’s optimal layout model on the base of the visual communication index is established to support the optimized design of HMI interface of manufacturing equipment system.(5) Taking the typical manufacturing equipment as example, and combining with the proposed human-machine optimized design method of manufacturing equipment, the physical virtual model and the optimized design virtual model are built with the application of solid modeling technology. The feasibility of the design method and evaluation criteria is verified by analyzing the evaluation model of optimized design method of manufacturing equipment. Finally, with the virtual modeling technology, human-computer optimal-design method based on visual communication elements is applied systematically to study a new manufacturing equipment system of one auto parts manufacturing enterprises.