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作 者:Yi Liu Qi Chang Qinghai Gan Guili Huang Dehong Chen Lin Li
机构地区:[1]CRRC Corporation Limited,Zhuzhou 412000,China [2]National Innovation Center of Advanced Rail Transit Equipment,Zhuzhou 412000,China [3]Hunan University of Technology,Zhuzhou 412000,China
出 处:《国际计算机前沿大会会议论文集》2020年第2期237-245,共9页International Conference of Pioneering Computer Scientists, Engineers and Educators(ICPCSEE)
基 金:the Key Project of Research and Development Plan of HunanProvince under Grant 2018GK2044;in part by the Natural Science Foundation of Hunan Provinceunder Grant 2018JJ4084;in part by the National Natural Science Youth Fund Project under Grant51805168;in part by the Science and Technology Talent Project of Hunan Province – HuxiangYouth Talent under Grant 2019RS2062.
摘 要:The bogie is a crucial component of urban rail vehicles,and its performance plays a decisive role in the safe operation of vehicles.Aiming at the intelligent operation and maintenance requirements of rail transit equipment,in this paper,it takes several key parts of the urban rail vehicle bogie system as research objects,such as motor bearings,frames,fasteners,etc.,and proposes a three-dimensional(3D)visual collaborative maintenance method.Firstly,a multi-sensor urban rail vehicle bogie running simulation experiment analysis platform was constructed,thereby establishing a database of running state and performance characteristics of the bogie in the whole life cycle.Then,the health status of key components of bogie was predicted by the state interval prediction model.Finally,the three-dimensional visual collaborative maintenance model proposed in this paper was integrated to realize the early warning of the bogie operation faults,3D precise guidance of automatic location and maintenance operation information,and collaborative sharing of visual information among multiple users.
关 键 词:Rail traffic equipment State prediction Intelligent operation and maintenance 3D visualization
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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