基于混合现实的动车组车钩辅助检修方法研究
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华东交通大学

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研究生创新资金项目(YC 2022-s517)


Research on auxiliary maintenance method of coupler for EMU based on mixed reality
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Graduate student innovation fund program (YC 2022-s517)

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    摘要:

    随着轨道交通快速发展,高速动车组运维环境愈加复杂,导致新旧故障频发,一种高效、智能、精准的维护方法显得十分重要。针对动车组车钩检修工作中存在的故障复杂化、维修方式老旧、检修手册内容滞后等问题,提出了一种基于混合现实技术的动车组车钩辅助检修方法,该方法借助混合现实和数据交互技术,构建了动车组车钩故障MR辅助检修总体模型和技术框架,研究了虚实注册融合、故障智能诊断、数据信息交互和检修辅助指导等关键技术,实现了基于Unity3D-HoloLens的手势识别,视线追踪等多样人机交互辅助检修方式。最后,动车组密接式车钩气路及控制系统故障MR辅助检修实例验证了该方法的有效性。

    Abstract:

    With the rapid development of rail transit, the operation and maintenance environment of high-speed EMUs becomes more complex, leading to frequent new and old faults. Therefore, an efficient, intelligent and accurate maintenance method is very important. Aiming at the problems of complex faults, outdated maintenance methods and lagging maintenance manual in the maintenance work of EMU coupler, an auxiliary maintenance method of EMU coupler based on mixed reality technology was proposed. With the help of mixed reality and data interaction technology, the overall model and technical framework of MR Auxiliary maintenance for the fault of EMU coupler were constructed. The key technologies such as virtual-real registration fusion, intelligent fault diagnosis, data information interaction and maintenance assistance guidance were studied, and various human-computer interaction assistance maintenance methods such as gesture recognition and eye tracking based on Unity3D-HoloLens were realized. Finally, an example of MR Assisted inspection for faults of close-connected coupler air path and control system of EMU verifies the effectiveness of the proposed method.

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历史
  • 收稿日期:2023-02-20
  • 最后修改日期:2023-02-26
  • 录用日期:2023-02-27
  • 在线发布日期: 2023-06-21
  • 出版日期: