基于混合现实的航空发动机数字维修系统研究

Research on digital maintenance system of aero-engine based on mixed reality

为解决航空发动机维修人员对技术手册理解困难、学习培训缺乏实体案例、多终端协同维修等问题,该文开展对手势动态轨迹的提取与识别,优化指关节跟踪注册算法,研究混合现实技术的数据传输协议。遵循美国航空运输协会标准,提出了涵盖结构系统、实操培训、实体考核的数字化维修系统建设方案,实现了自定义手势交互逻辑,构建了多终端协同维修机制。以CFM56-5B涡扇发动机模型为载体,应用HoloLens 2混合现实设备验证了数字维修系统可行性。

To solve the problems of aero-engine maintenance personnel’s difficulty in understanding technical manuals, lack of physical cases for learning and training, and collaborative maintenance of multiple terminals, the extraction and recognition of dynamic trajectories of hand gestures are carried out, the knuckle tracking registration algorithms is optimized, and the data transmission protocol for mixed reality technology is studied in this paper.Following the standards of the American Air Transport Association, the digital maintenance system construction plan covering structure system, hands-on training and physical assessment is proposed, and custom gesture interaction logic is realized, and a multi-terminal collaborative maintenance mechanism is built. Using the CFM56-5B turbofan engine model as a carrier, the HoloLens2 mixed reality device is applied to verify the feasibility of the digital maintenance system.