摘要
为强化编组站各环节数据的联动分析,优化作业过程与组织方式,提高编组站运输效力,基于构建目标、总体架构和应用路径等方面对编组站综合自动化系统大数据平台进行构建分析,从智能调度、智能执行、智能分析和智能运维等方面对编组站综合自动化系统大数据平台应用进行分析,最终实现对数据有效地采集、筛选与整合,有效地衡量作业质量、运输资源与组织决策间的关联关系,有助于铁路编组站在调度决策、过程执行、作业评价与运维管理等方面的智能化应用研究,推动编组站综合自动化系统大数据平台建设。
The data integration of each link of the marshalling yard and the optimized operation process and organization will improve the transportation efficiency of the marshalling yard.This paper analyzes the big data platform of the synthetic automation system of marshalling yard in terms of target,architecture and application path.The application of the big data platform application is from four aspects:intelligent scheduling,intelligent execution,intelligent analysis,and intelligent operation and maintenance.The final goal is to realize the effective collection,screening and integration of data,and effectively measure the relationship between the quality of operations,transportation resources and organizational decisions.It provides the basis for the intelligent application research of railway marshalling yard in dispatching command,process execution,operation evaluation and operation and maintenance management,and promotes the construction of the big data platform of the synthetic automation system of marshalling yard.
作者
徐永梅
余淮
王晶
XU Yongmei;YU Huai;WANG Jing(Signal&Communication Research Institute,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China)
出处
《铁道运输与经济》
北大核心
2020年第12期49-53,共5页
Railway Transport and Economy
基金
中国铁道科学研究院集团有限公司科研项目(2019YJ069)。
关键词
编组站综合自动化系统
大数据平台
构建目标
总体架构
应用方向
Integrated Automation System of Marshalling Yard
Big Data Platform
Building Targets
Overall Architecture
Application Direction