1.中车株洲电力机车研究所有限公司,湖南 株洲 412001
方光华(1971—),男,高级工程师,研究方向为轨道交通通信信号;E-mail:fanggh@csrzic.com
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方光华. 城轨信号智能运维系统研究[J]. 机车电传动, 2021,(2):92-99.
Guanghua FANG. Research on Signal Intelligent Operation and Maintenance System of Urban Rail Transit[J]. Electric Drive for Locomotives, 2021,(2):92-99.
方光华. 城轨信号智能运维系统研究[J]. 机车电传动, 2021,(2):92-99. DOI: 10.13890/j.issn.1000-128x.2021.02.015.
Guanghua FANG. Research on Signal Intelligent Operation and Maintenance System of Urban Rail Transit[J]. Electric Drive for Locomotives, 2021,(2):92-99. DOI: 10.13890/j.issn.1000-128x.2021.02.015.
针对城市轨道交通智慧城轨发展趋势和城轨信号系统运维现状,基于大数据平台并采用微服务技术架构体系,研发了一种集成化、智能化、信息化的城轨信号智能运维系统,实现城轨信号系统的智能监测、故障诊断、健康管理与运维管理等功能,为信号设备生产作业管理提供决策支持,能够有效减少运维成本,提升运营效率。
In view of the development trend of smart urban rail transit and the maintenance status of urban rail transit signal system, an integrated, intelligent and information-based intelligent operation and maintenance system of urban rail transit signal was developed based on the big data platform and micro service technology architecture system, which can realize the functions of intelligent monitoring, fault diagnosis, health management and operation and maintenance management of urban rail transit signal system, and make contributions to the production of signal equipment industry management provides decision support, reduce maintenance costs and improve operation efficiency.
城市轨道交通信号系统智能运维系统故障诊断智能监测健康管理轨道交通
urban rail transitsignal systemintelligent operation and maintenancefault diagnosisintelligent monitoringhealth managementrail transit
中国城市轨道交通协会. 中国城市轨道交通智慧城轨发展纲要[J]. 城市轨道交通, 2020(4): 8-23.
China Association of Metros. Development program of China urban rail transit smart urban rail transit[J]. China Metro, 2020(4): 8-23.
施聪. 城市轨道交通通信信号专业的智能运维系统[J]. 城市轨道交通研究, 2020, 23(8): 172-176.
SHI Cong. Communication and signal intelligent operation and maintenance system in urban rail transit[J]. Urban Mass Transit, 2020, 23(8): 172-176.
陈志强, 陈旭东, OLIVIRA J V D, 等. 深度学习在设备故障预测与健康管理中的应用[J]. 仪器仪表学报, 2019, 40(9): 206-226.
CHEN Zhiqiang, CHEN Xudong, OLIVIRA J V D, et al. Application of deep learning in equipment prognostics and health management[J]. Chinese Journal of Scientific Instrument, 2019, 40(9): 206-226.
陆鑫源, 朱莉, 张郁, 等. 城市轨道交通信号智能运维系统应用与实践[J]. 铁道通信信号, 2020, 56(3): 82-86.
LU Xinyuan, ZHU Li, ZHANG Yu, et al. Application and practice of intelligent operation and maintenance system for urban rail transit signal[J]. Railway Signalling &Communication, 2020, 56(3): 82-86.
中国城市轨道交通协会. 城市轨道交通 基于通信的列车运行控制系统(CBTC)互联互通接口规范 第7部分:信号各子系统与维护支持系统(MSS)间接口:T/CAMET 04011.7—2018[S]. 北京: 中国铁道出版社, 2018.
China Association of Metros. Urban rail transit—Interface specification for interoperability of communication based train control system Part7: interface between signal other subsystems and maintenance support system: T/CAMET 04011.7—2018[S]. Beijing: China Railway Publishing House, 2018.
杜时勇. 基于大数据的城轨信号系统线网智能运维平台研究[J]. 都市快轨交通, 2019, 32(3): 13-18.
DU Shiyong. Urban rail transit signal system intelligent operation and maintenance platform based on big data[J]. Urban Rapid Rail Transit, 2019, 32(3): 13-18.
段亚美, 戴翌清, 王历珘. 基于智能运维系统的地铁信号设备维护管理研究[J]. 铁道通信信号, 2020, 56(4): 88-91.
DUAN Yamei, DAI Yiqing, WANG Lizhou. Research on metro signal equipment maintenance management based on intelligent operation and maintenance system[J]. Railway Signalling & Communication, 2020, 56(4): 88-91.
刘晓亮. 地铁信号系统智能运维方案设计[J]. 城市建设理论研究(电子版), 2019(5): 145-146.
LIU Xiaoliang. Scheme design of intelligent operation and maintenance for metro signal system[J]. Urban Construction Theory Research(electronic version), 2019(5): 145-146.
刘可安, 戴计生, 徐海龙. 城轨车辆关键部件状态修技术与系统解决方案[J]. 机车电传动, 2020(4): 1-7.
LIU Kean, DAI Jisheng, XU Hailong. Condition repair technology and system solutions for key components of urban rail vehicles[J]. Electric Drive for Locomotives, 2020(4): 1-7.
冯达智. 基于时间卷积网络的飞控时序数据预测技术研究[D]. 成都: 电子科技大学, 2020.
FENG Dazhi. Research on forecasting technology of fl ight control time series data based on temporal convolutional network[D]. Chengdu: University of Electronic Science and Technology of China, 2020.
寇淋淋. 基于状态信息和张量域评估理论的轨道交通列车服役状态及系统可靠性评估[D]. 北京: 北京交通大学, 2019.
KOU Linlin. Service status identification and system reliability evaluation method based on tensor domain theory for rail train with monitoring data[D]. Beijing: Beijing Jiaotong University, 2019.
詹炜. 基于深度学习的城市轨道交通车辆智能诊断系统研究[D]. 南京: 南京理工大学, 2019.
ZHAN Wei. An intelligent diagnosis system of urban rail transit vehicle based on deep learning[D]. Nanjing: Nanjing University of Science & Technology, 2019.
赵帅. 基于数据驱动的设备剩余寿命预测关键技术研究[D]. 西安: 西北工业大学, 2018.
ZHAO Shuai. Research on key technologies for data-driven methods of remaining useful life prediction of equipment[D]. Xi'an: Northwestern Polytechnical University, 2018.
王玘, 何正友, 林圣, 等. 高铁牵引供电系统PHM与主动维护研究[J]. 西南交通大学学报, 2015, 50(5): 942-952.
WANG Qi, HE Zhengyou, LIN Sheng, et al. PHM and active maintenance for high-speed railway traction power supply system[J]. Journal of Southwest Jiaotong University, 2015, 50(5): 942-952.
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