摘要
铁路货运大数据作为铁路重要的信息资产,集数据类型多、数据增长速度快、数据精确度高等主要特征于一身,具有巨大的发展潜力及应用价值。在分析铁路货运大数据特征的基础上,针对目前铁路货运大数据存在的内部数据共享不足、外部数据融合不够、数据分析能力不足等问题,从货运生产、货运营销和安全管理3个方面提出铁路货运大数据应用策略,达到促进铁路货运生产、经营和安全管理水平提升的效果。
Railway freight big data, as an essential railway information asset, is characterized by multiple types, fast growth, and high accuracy, which has great development potential and application value. Based on an analysis of the characteristics of the railway freight big data, to address the inadequacy problems in the aspects of internal data sharing, external data fusion, and data analysis capability, this paper puts forward the strategies in terms of freight production, operation control, and safety management, which are expected to promote railway freight production and improve operation and safety management.
作者
李斌
LI Bin(Freight Department,China Railway Zhengzhou Group Co.,Ltd.,Zhengzhou 450052,Henan,China)
出处
《铁道货运》
2020年第5期28-32,共5页
Railway Freight Transport
基金
中国铁路郑州局集团有限公司2019年科技发展计划课题(2019HY1)。
关键词
铁路货运
大数据
货运生产
经营管理
安全管理
应用策略
Railway Freight Transportation
Big Data
Freight Production
Operation Control
Safety Management
Application Strategies
