铁路货运安全大数据功能设计研究

A Study on the Function Structure of the Big Data on Railway Freight Transport Safety

随着大数据、物联网、云计算等现代化技术日益成熟,为铁路货运安全管理智能化提供了有效的技术手段。结合铁路货运内外部数据需求,以及铁路货运安全风险识别和风险预警功能需求,提出“风险管理评价+风险预警+综合分析”的铁路货运安全大数据功能架构,探讨铁路货运安全风险评价功能、货运关键项点安全风险预警功能,以及货运安全综合分析的功能,为有效提升铁路货运安全智能化管理能力提供决策依据。

With more mature technologies of big data,internet of things and cloud computing,the efficiency and level of business management have been improved supported by large-scale data.To meet the requirements for the internal and external data on railway freight transportation,risk identification and early warning,this paper has put forward the function structure of the big data on railway freight transportation safety:““risk management and evaluation+risk alarming+comprehensive analysis””,which is expected to serve as supporting evidence to effectively improve railway freight transportation safety with intelligent management.