协同虚拟维修过程中的虚拟人体维修操作控制

针对操作人员难以在有限的光学运动捕捉设备捕捉范围内自由运动的问题,开展了协同虚拟维修过程中的虚拟人体维修操作控制研究。基于光学运动捕捉设备对操作人员的下肢动作进行捕捉,根据实时识别结果控制虚拟人体进行大范围运动。针对维修操作过程中的虚拟人体手部运动控制,分析了虚拟人体的手部交互过程,提出了一种基于动态贝叶斯网络的维修操作智能辅助方法。以某液压缸协同式虚拟维修操作仿真平台为例验证了方法的有效性。该方法实现了对虚拟人体维修操作过程的有效控制,具有实时性好、交互性与感知性强等优点。

Maintenance Operation Control of Virtual Human in Collaborative Virtual Maintenance

Aiming at the operators being not able to move freely in the limited capture area of optical motion capture devices, the maintenance operation control of virtual human in Collaborative Virtual Maintenance is studied. The lower limb action of operators is captured by the optical motion capture devices, and the wide range motion of the virtual human is controlled according to the real-time recognition results. In order to control the hand motion process of the virtual human in the maintenance operation, the hand interaction of the virtual human is analyzed and an intelligent assistant method for the maintenance operations based on the dynamic Bayesian network is proposed. A collaborative virtual maintenance operation simulation platform of a hydraulic cylinder is taken to prove the feasibility of the method. The method can control the maintenance operation process of virtual human effectively, and has good performance of real-time wish, interactivity and perceptibility.