大数据技术在轨道交通应急辅助决策系统中的应用设计

Application Design of Big Data Technologies in Emergency Decision Supporting System

从城市轨道交通网络化运营条件出发,针对应急辅助决策系统将要应对越来越复杂的异构大数据问题,探讨大数据技术在系统中的应用。首先分析系统中大数据的组成、特征和处理需求;随后基于可借鉴的大数据处理技术,构建了应急辅助决策系统中大数据的处理框架,并设计了数据采集、数据预处理、数据存储、数据分析/挖掘和数据结果展现等5个环节的大数据处理技术应用方法;最后基于北京市城市轨道交通现行方案,设计了融合大数据技术的应急辅助决策系统流程。研究可为城市轨道交通应急管理提供技术参考。

According to operating conditions of urban rail transit network, aiming at the issue of more and more complex heterogeneous big data that the emergency decision supporting system would deal with, this paper dis-cusses the application of big data technologies in the emergency decision supporting system. Firstly, the compo-sition, characteristics and processing requirements of big data are analyzed. Secondly, in light of the referential processing technologies, the processing framework of emergency decision supporting system is established. Be-sides, the technology applications of big data processing methods in data collection, preprocessing, storage, ana-Lysis/mining and data results display are carried out. Finally, based on the present urban rail transit programs of Beijing, procedures of emergency decision supporting system integrating big data technologies are designed. The study can provide technical references for urban rail transit emergency management.