飞机驾驶舱舒适性参数可视化技术
The Visualization Technology of the Comfort Parameter in Aircraft Cockpit

为提高飞机驾驶舱人机工效水平，缩短设计过程，以舒适性设计为例，采用遗传算法进行飞行员人体姿势预测。将关节空间坐标作为变量，并以确定性约束减少变量的数量，提高算法求解速度与精度；运用Jack软件对姿势预测结果进行检测，证明了算法的有效性。通过快速上肢评估算法对所得姿势进行评估，获得舒适性参数，最后以不同等级RGB值对舒适性参数进行可视化表示。
To improve the ergonomic level of the aircraft cockpit and shorten the design process, the genetic algorithms are applied to predict the postures of pilot in terms of the comfort design. In the prediction process, the space coordinates of human body joints are applied to be the variables and the number of them is reduced by the deterministic constraint. The Jack software is used to test the results of the prediction, and it shows that the process is effective. The RULA (Rapid upper Limb Assessment) method is applied to evaluate the posture and supply the comfort parameters. Finally, the different levels of RGB (Red Green Blue) value are used to make the comfort parameters mapping visible