期刊文献+

铁路旅客征信系统设计和实现

Railway passenger credit system
下载PDF
导出
摘要 为了抑制铁路旅客不文明行为,优化铁路客运服务,响应国家信用体系建设,提出铁路旅客征信系统的建设。详细描述铁路旅客征信系统的逻辑构架以及网络构架。通过运用大数据采集、存储、旅客诚信指数算法、个人信用大数据分析、征信共享平台数据交互以及车地数据安全加密交互等技术,铁路旅客征信系统完成了对每个旅客诚信数据的收集和存储,形成了征信系统的旅客统计分析报表,并为国家提供铁路行业的诚信接口。铁路旅客征信系统有助于铁路旅客精细化运营和对不文明旅客的限制,对国家诚信社会的建设具有一定的借鉴意义。 In order to restrain the uncivilized behavior of railway passengers, optimize railway passenger service and respond to the construction of national credit system, this paper put forward the construction of railway passenger credit system. The paper described the logic framework and network framework of the system. By using the technologies of big data acquisition, storage, passenger credit index algorithm, personal credit big data analysis, data interaction of credit sharing platform, and data security encryption interaction of train -ground, the system could collect and store credit data of each passenger, form the passenger statistics and analysis report of the system, provide credit interface service of the railway industry to the country. The railway passenger credit system is helpful to the fine operation of railway passengers and the restrictions on uncivilized passengers, has a certain reference to the construction of the national credit society.
作者 张秋亮 郭喆 ZHANG Qiuliang;GU(Institute of Computing Technologies,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China)
出处 《铁路计算机应用》 2018年第8期21-26,共6页 Railway Computer Application
基金 中国铁路总公司科研计划课题(2016X004-G)
关键词 征信系统 诚信指数 大数据采集 数据交换平台 数据安全加密技术 credit system credit index big data collection data exchange platform data security encryption technology
  • 相关文献

参考文献5

二级参考文献190

  • 1张叶娥.数据仓库建模技术之比较[J].福建电脑,2004,20(5):41-42. 被引量:4
  • 2ERIKThomsen.OLAP解决方案,创建多维信息系统(第2版)[M].北京:电子工业出版社,2004.. 被引量:1
  • 3LENSilverston.数据模型资源手册卷一[M].北京:机械工业出版社,2004.. 被引量:1
  • 4CHRISTodman.支持CRM的数据仓库设计[M].北京:机械工业出版社,2004.. 被引量:1
  • 5InmonWH.数据仓库[M].北京:机械工业出版社,2000.. 被引量:19
  • 6Nature. Big Data [EB/OL]. [2012-10-02]. http,//www. nature, com/news/specials/bigdata/index, html. 被引量:1
  • 7Bryant R E, Katz R H, Lazowska E D. Big-Data computing : Creating revolutionary breakthroughs in commerce, science, and society [R]. [2012-10-02]. http:// www. cra. org/ccc/docs/init/Big_Data, pdf. 被引量:1
  • 8Science. Special online collection: Dealing with data [EB/OL]. [2012-10-02]. http://www, sciencemag, org/site/ special/data/, 2011. 被引量:1
  • 9Agrawal D, Bernstein P, Bertino E, et al. Challenges and opportunities with big data A community white paper developed by leading researchers across the United States [R/OL]. [2012-10-02]. http://cra, org/ccc/docs/init/bigdata whitepaper, pdf. 被引量:1
  • 10Manyika J, Chui M, Brown B, et al. Big data: The next frontier for innovation, competition, and productivity [R/OL]. [ 2012-10-02 ]. http://www, mekinsey, corn/ Insights]MGI[Research/Teehnology _ and _ Innovation]Big _ data The next frontier for innovation. 被引量:1

共引文献2512

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部