基于DocuBurst的动车组非结构故障数据可视化
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- 英文论文题名：Visualization of EMU' Unstructured Fault Data Based on Docu Burst
- 论文作者：李燕 ; 李新全
- 英文论文作者：Li Yan ; Li Xinquan ; Institute of Computing Technology ; China Academy of Railway Sciences ; Car Department of Zhengzhou Railway Bureau
- 年：2016
- 作者机构：中国铁道科学研究院电子计算技术研究所;郑州铁路局车辆处;
- 论文关键词：动车组 ; 非结构数据 ; 可视化
- 英文论文关键词：EMU ; Unstructured Data ; Visualization
- 会议召开时间：2016-11-16
- 会议录名称：第十一届中国智能交通年会大会论文集
- 语种：中文
- 分类号：U269.3
- 学会代码：ZJTX
- 会议名称：第十一届中国智能交通年会
- 会议地点：中国重庆
- 主办单位：中国智能交通协会
- 学会名称：中国智能交通协会
- 页数：6
- 文件大小：992k
- 原文格式：D
- 会议级别：全国
摘要
动车组运行故障数据中包含大量的非结构化信息,这些信息包含故障真实原因、现场还原、故障处理细节等重要内容,仅通过报表或简单的图表、图形等传统方法无法分析和展示数据中的规律和趋势。本文将文本数据可视化技术引入到动车组运行故障数据分析范畴,首先对动车组运行故障数据结构和统计分析现状进行了描述,然后概要地介绍了相关的文本可视化技术发展,以能够实现文本语义概要可视化和定向查询分析的Docu Burst方法为基础模型,对参数进行重新定义,详细阐述了动车组运行故障可视化数据的组成、实现步骤以及其中的关键问题。最后,对动车组运行故障其他可进行研究尝试的方向进行了讨论,并对数据可视化技术在动车组管理的应用前景进行了展望。
The huge amount of unstructured information in EMU' running-fault data,which including the cause of failure,field reduction and the detail of fault treatment,cannot help users to understand the rules and trends by traditional methods such as simple tables or graphs.In this paper,it introduces text visualization into analysis of the EMU' running-fault data.Firstly,it describes the data structure and current situation of statistical analysis of the text visualization,and then introduces the technological development of it cursory.Secondly,the paper states the visualization,actualization processes and relative key techniques of EMU' running-fault data,by redefine the parameters of the Docu Burst method.Finally,the prospect of relevant studies of EMU' runningfault data and the future work of visualization analytics in EMU area is discussed.
The huge amount of unstructured information in EMU' running-fault data,which including the cause of failure,field reduction and the detail of fault treatment,cannot help users to understand the rules and trends by traditional methods such as simple tables or graphs.In this paper,it introduces text visualization into analysis of the EMU' running-fault data.Firstly,it describes the data structure and current situation of statistical analysis of the text visualization,and then introduces the technological development of it cursory.Secondly,the paper states the visualization,actualization processes and relative key techniques of EMU' running-fault data,by redefine the parameters of the Docu Burst method.Finally,the prospect of relevant studies of EMU' runningfault data and the future work of visualization analytics in EMU area is discussed.
引文
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[2]任磊,杜一,马帅,张小龙,戴国忠.大数据可视分析综述[J].软件学报,2014,25(9):1909-1936.
[3]Sebastiani F.Machine Learning in Automated Text Categorization[J].ACM Computing Surveys,2002,34(1):1-47.
[4]Viegas F B,Wattenberg M.TIMELINES:Tag Clouds and the Case for Vernacular Visualization[J].Interactions,2008,15(4):49-52.
[5]Viegas F B,Wattenberg M,Feinberg J.Participatory Visualization with Wordle[J].IEEE Transactions on Visualization and Computer Graphics,2009,15(6):1137-1144.
[6]Koh K,Lee B,Kim B,et al.Mani Wordle:Providing Flexible Control over Wordle[J].IEEE Transactions on Visualization and Computer Graphics,2010,16(6):1190-1197.
[7]Strobelt H,Oelke D,Rohrdantz C,et al.Document Cards:a Top Trumps Visualization for Documents[J].IEEE Transactions on Visualization and Computer Graphics,2009,15(6):1145-1152.
[8]Collins C,Car pendale S,Penn G.Docuburst:Visualizing Document Content Using Language Structure[J].Computer Graphics Forum,2009,28(3):1039-1046.
[9]Muller G A.Wordnet:a Lexical Database for English[J].Communications of the ACM,1995,38(11):39-41.