超大规模城市轨道交通线网全寿命周期健康管理系统研究
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摘要
分析了当前我国超大规模城市轨道交通线网设施设备维护保障面临的突出问题。分析了故障预测与健康管理相关系统在高速铁路、航空航天、核电等领域的应用现状,以及新一代信息科学技术的适用性。在此基础上,提出了超大规模城市轨道交通线网全寿命周期健康管理系统的体系架构,介绍了该系统的关键功能及实现这些功能的技术路线,描述了该系统的应用发展前景。
The prominent issues of facilities and equipment maintenance in the super-large scale urban rail transit networks of Chinese cities are analyzed. The application status of related fault prediction and health management systems in high-speed railway, aerospace, nuclear power and other fields, as well as the applicability of new information science and technology, are studied. On this basis, the architecture of life cycle health management system for super-large scale urban rail transit network is put forward, by introducing key functions of the system and the technical routes to realize these functions, and the prospect of the system application is described.
The prominent issues of facilities and equipment maintenance in the super-large scale urban rail transit networks of Chinese cities are analyzed. The application status of related fault prediction and health management systems in high-speed railway, aerospace, nuclear power and other fields, as well as the applicability of new information science and technology, are studied. On this basis, the architecture of life cycle health management system for super-large scale urban rail transit network is put forward, by introducing key functions of the system and the technical routes to realize these functions, and the prospect of the system application is described.
引文
[1] 毕湘利.当前轨道交通发展中几个技术问题的思考[J].城市轨道交通研究,2018(5):29.
[2] 刘述芳.城市轨道交通关键设备智能运维系统初步建构[J].设备管理与维修,2018(增刊1):22.
[3] 陈建译.基于故障预测与健康管理的高铁信号设备维护技术研究[J].中国铁路,2015(3):16.
[4] 赵显琼,程剑锋,汪洋,等.智能一体化电务检测维护方案研究[J].中国铁路,2015(1):46.
[5] 邱立军,吴明辉.PHM技术框架及其关键技术综述[J].国外电子测量技术,2018(2):10.
[6] 解光耀,刘井泉,曾聿赟.PHM技术在核电厂的应用与展望[J].核动力工程,2018(2):189.
[7] 陆平,李建华,赵维铎.5G在垂直行业中的应用[J].中兴通讯技术,2019(1):67.
[8] 伊恩·古德费洛.深度学习[M].北京:人民邮电出版社,2017.
[9] 杨鹏,林俊晖.一种基于MongoDB和Hadoop的海量非结构化物联网数据处理方案[J].微电子学与计算机,2018(4):68.
[10] 刘博元,王焕钢,范文慧,等.基于大数据的复杂生产线系统健康度实时评估方法[J].清华大学学报(自然科学版),2014(10):1377.
[11] 刘学增,郭乔堃,桑运龙,等.基于承载力分析的公路隧道结构健康度评价方法[J].岩石力学与工程学报,2018(增刊2):4161.
[12] 李擎,刘仍奎,白磊,等.基于网格的铁路轨道状态大数据可视化模型[J].铁道科学与工程学报,2018(7):1879.
[2] 刘述芳.城市轨道交通关键设备智能运维系统初步建构[J].设备管理与维修,2018(增刊1):22.
[3] 陈建译.基于故障预测与健康管理的高铁信号设备维护技术研究[J].中国铁路,2015(3):16.
[4] 赵显琼,程剑锋,汪洋,等.智能一体化电务检测维护方案研究[J].中国铁路,2015(1):46.
[5] 邱立军,吴明辉.PHM技术框架及其关键技术综述[J].国外电子测量技术,2018(2):10.
[6] 解光耀,刘井泉,曾聿赟.PHM技术在核电厂的应用与展望[J].核动力工程,2018(2):189.
[7] 陆平,李建华,赵维铎.5G在垂直行业中的应用[J].中兴通讯技术,2019(1):67.
[8] 伊恩·古德费洛.深度学习[M].北京:人民邮电出版社,2017.
[9] 杨鹏,林俊晖.一种基于MongoDB和Hadoop的海量非结构化物联网数据处理方案[J].微电子学与计算机,2018(4):68.
[10] 刘博元,王焕钢,范文慧,等.基于大数据的复杂生产线系统健康度实时评估方法[J].清华大学学报(自然科学版),2014(10):1377.
[11] 刘学增,郭乔堃,桑运龙,等.基于承载力分析的公路隧道结构健康度评价方法[J].岩石力学与工程学报,2018(增刊2):4161.
[12] 李擎,刘仍奎,白磊,等.基于网格的铁路轨道状态大数据可视化模型[J].铁道科学与工程学报,2018(7):1879.