基于大数据的铁路旅客服务设备监测系统研究
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摘要
为实现铁路旅客服务设备状态监测管理从人工向智能化、自动化的转变,对基于大数据的铁路旅客服务设备状态监测系统进行研究,对系统功能、系统架构、业务流程和大数据关键技术进行阐述;实现对旅客服务设备全生命周期的信息管理、设备状态评估、设备故障预警及告警和设备检修方案智能辅助决策等功能。
This paper proposes a design for the device status monitoring system of railway passenger service system based on big data technology, which is used to change the method of passenger service device status monitoring from manual to automatic work with intelligence, expoundes the system function, architecture, business process and the key technology of big data. This system realized the life-cycle information management, status assessment, failure prediction, fault warning and intelligent assistant decision-making of the maintenance scheme.
This paper proposes a design for the device status monitoring system of railway passenger service system based on big data technology, which is used to change the method of passenger service device status monitoring from manual to automatic work with intelligence, expoundes the system function, architecture, business process and the key technology of big data. This system realized the life-cycle information management, status assessment, failure prediction, fault warning and intelligent assistant decision-making of the maintenance scheme.
引文
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[2]蔡云.关于铁路旅客服务系统优化方案的思考[J].铁道运输与经济,2014,36(6):27-31.Cai Yun.Thoughts on Optimization Program of Railway Passenger Service System[J].Railway Transport and Economy,2014,36(6):27-31.
[3]周广,闫丹凤,许光可,等.大数据在输变电设备状态评估中的研究[J].软件,2016,37(1):9-13.Zhou Guang,Yan Danfeng,Xu Guangke,et al.Research on Big Data for Transmission Equipment Status Evaluation[J].Computer Engineering&Software,2016,37(1):9-13.
[4]王华伟.铁路运输设备技术状态大数据平台架构研究[J].铁道运输与经济,2017,39(8):59-65.Wang Huawei.Study on Big Data Platform Framework for Technical Status of Railway Transport Equipment[J].Railway Transport and Economy,2017,39(8):59-65.
[5]张建萍,刘希玉.基于聚类分析的K-means算法研究及应用[J].计算机应用研究,2007,24(5):166-168.Zhang Jianping,Liu Xiyu.Application in Cluster’s Analysis Is Analyzed in Children Development Period[J].Application Research of Computers,2007,24(5):166-168.
[6]崔贯勋,李梁,王柯柯,等.关联规则挖掘中Apriori算法的研究与改进[J].计算机应用,2010,30(11):2952-2955.Cui Guanxun,Li Liang,Wang Keke,et al.Research and Improvement on Apriori Algorithm of Association Rule Mining[J].Journal of Computer Applications,2010,30(11):2952-2955.
[7]石云平.聚类K-means算法的应用研究[J].国外电子测量技术,2009,28(8):28-31.Shi Yunping.Application Research on The Clustering K-means Algorithm[J].Foreign Electronic Measurement Technology,2009,28(8):28-31.
[8]郭涛,张代远.基于关联规则数据挖掘Apriori算法的研究与应用[J].计算机技术与发展,2011,21(6):101-103.Guo Tao,Zhang Daiyuan.Research and Application on Association Rules Based on Apriori Algorithm[J].Computer Technology and Development,2011,21(6):101-103.