铁路运输态势推演系统架构及关键技术研究

Research on architecture and key technologies of railway transportation situation deducing system

在分析国内外铁路运输态势推演系统研究现状的基础上,提出了铁路运输态势推演系统(Railway Transportation Situation Deducing System,RTSDS)架构,探讨了铁路运输生产关键数据实时采集和融合、铁路日常运输综合态势感知指标构建及评价、基于大数据的运输日常生产态势演化及预警等关键技术,初步开发了基于实时大数据的铁路货运日常运输生产总体态势推演原型系统,为进一步研发实际生产系统,更精准掌控运输生产演化规律和预见可能出现问题,提升调度生产管理水平和运输效益提供技术支撑.

Based on the analysis of the current research in China and the world,the architecture of Railway Transportation Situation Deducing System(RTSDS)is proposed.The key technologies of RTSDS are explored,which include real-time acquisition and merging of railroad key production data,construction and evaluation of indictors for daily comprehensive railway transportation situation,and big-data-based transportation situation deducing and pre-warning.The preliminary prototype software of RTSDS is developed based on real-time big data.This provides technicalsupport for further development of real-world production systems,for guiding the RTSDS to precisely grasp the transportation evolving mechanism and foresee the possible problems,and for improving the production scheduling management and transportation efficiency.