›› 2021, Vol. 27 ›› Issue (8): 2187-2195.DOI: 10.13196/j.cims.2021.08.002

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Auxiliary maintenance method for electromechanical equipment integrating digital twin and mixed reality technology

  

  • Online:2021-08-31 Published:2021-08-31
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.51974228),the National Green Manufacturing System Integration Foundation,China (No.[2017]327),and the Shaanxi Provincial Innovation Capacity Support Program,China (No.2018TD-032).

融合数字孪生与混合现实技术的机电设备辅助维修方法

张旭辉1,2,张雨萌1,王岩1,2+,杜昱阳1,2,王妙云1,谢楠1,鞠佳杉1   

  1. 1.西安科技大学机械工程学院
    2.陕西省矿山机电装备智能监测重点实验室
  • 基金资助:
    国家自然科学基金资助项目(51974228);国家绿色制造系统集成资助项目(工信部节函[2017]327号);陕西省创新能力支撑计划资助项目(2018TD-032)。

Abstract: The traditional fault maintenance guidance method of complex electromechanical equipment is not intuitive and timely.An integrated method of Digital Twin (DT) with Mixed Reality (MR) for maintenance guidance of electromechanical equipment is proposed.In view of the problems of unintuitive knowledge acquisition and untimely professional maintenance of failure maintenance guidance for complex electromechanical equipment,an auxiliary maintenance guidance method integrating DT and mixed reality technology was proposed.With the help of DT and MR technology.Through this method,the overall model and technical framework of maintenance guidance for complex electromechanical equipment were constructed,a fault auxiliary maintenance guidance system based on BIM-Unity3D-HoloLens was developed,and the key technologies such as maintenance environment perception,data interaction,virtual-real registration fusion and fault maintenance guidance were studied.The test results for gear failure of shearer rocker arm showed  the effectiveness of the proposed method.

Key words: digital twin, equipment maintenance, mixed reality, complex eletromechanical equipment

摘要: 针对复杂机电设备故障维修指导知识获取不直观、专业维修不及时的问题,提出一种融合数字孪生与混合现实技术的机电设备辅助维修方法,该方法借助数字孪生和混合现实技术,构建了数字孪生驱动的复杂机电设备维修指导总体模型和技术框架,研发了基于BIM-Unity3D-HoloLens的故障辅助维修指导系统,研究了维修环境感知、数据信息交互、虚实注册融合和故障维修指导等关键技术。最后,以煤矿综采关键设备电牵引采煤机摇臂传动系统的齿轮故障为例,验证了该方法的有效性。

关键词: 数字孪生, 设备维修, 混合现实, 复杂机电设备

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