多约束下的载人潜器舱内计算机辅助工效设计系统研究

Computer Aided Ergonomics System Based on Multi-constraints for Deep Submergence Vehicle

为了能使载人潜器舱内工效设计人员加深对多约束条件下舱内人员的生理、心理和环境约束条件的理解,有效地辅助设计方案的智能生成与优化。提出了基于虚拟人体模型参数作为布局设计解空间的参数获取方法、基于遗传算法的舱内人-机界面布局设计方案计算智能求解方法、基于知识推理的舱内色彩工效设计方案获取方法和基于粒子群算法的载人舱工效设计方案智能优化方法,以此为基础,应用UG二次开发和数据库技术,开发了载人潜器舱内人机工效设计计算机辅助系统。通过设计实例的人机工效布局和色彩设计与方案优化验证了该系统的可行性。

In order to improve design efficiency of intelligent generation and optimization about design scheme, and increase the designer＇s understanding of physiological, psychological and environmental constraints about DSV ergonomics design, the layout design about man machine interface component is solved by genetic algorithm, knowledge reasoning is used to the color ergonomic design about manned capsule, and the intelligent optimization about manned capsule ergonomics design based on particle swarm optimization algorithm. The prototype system is developed for manned capsule CAED based on UG. The feasibility of layout design solution about man machine interface component and intelligent optimization about manned capsule ergonomics design is verified by using a design example.