目的 为满足船员在船舶驾驶室设计中的心理和生理需求,融合感性工学方法和人机工学理论解决驾驶室内装无法同时兼顾两种需求的设计难题。方法 首先,结合正交试验法与虚拟现实技术搭建样本模型;其次,基于因子分析法构建了感性意象空间;再次,基于GA-BP神经网络模型构建了设计要素与感性意象因子评价的映射关系模型,并基于遗传算法构建了设计方案寻优模型;最后,结合人机工学要素,采用多属性决策算法构建了感性-人机工学综合评价体系。结果 通过感性工学模型量化了作业人员的感性因素,得到4个优化设计方案,并结合人机工学要素进行综合评价得到最优设计方案。结论 应用感性工学方法与人机工学理论构建的驾驶室内装优化设计模型能够兼顾船员的心理与生理需求,提升了驾驶室内装设计的合理性,为用户需求为导向的驾驶室内装设计提供了有效的参考。
Abstract
In order to meet the psychological and physiological needs of crew members in the design of ship cab, the work aims to integrate Kansei engineering methods with human-machine engineering theory to resolve the issue of balancing these two needs in the cab interior design. Firstly, the sample model was built by combining orthogonal experiment method and virtual reality technology. Secondly, the perceptual image space was constructed based on factor analysis. Thirdly, based on GA-BP neural network model, the mapping relationship model between design elements and perceptual image factors was constructed, and the optimization model of design scheme was established based on genetic algorithm. Finally, with human-machine engineering elements, a multi-attribute decision-making algorithm was applied to establish a comprehensive evaluation system that integrated both Kansei and human-machine engineering factors. The Kansei engineering model was used to quantify the emotional factors of operators, leading to four optimized design solutions. A comprehensive evaluation, incorporating human-machine engineering factors, identified the optimal design scheme. The optimization design model for the cab interior based on Kansei engineering methods and human-machine engineering theory effectively balances the psychological and physiological needs of the crew. This enhances the rationality of the cab interior design and provides an effective reference for user-centered design of ship cab interior.
关键词
感性工学 /
船舶驾驶室 /
GA-BP神经网络 /
遗传算法 /
综合评价
Key words
Kansei engineering /
ship cab /
GA-BP neural network /
genetic algorithm /
comprehensive evaluation
中图分类号：
TB482
U662.2
U671.9
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