摘要
高速铁路灾害监测系统经过10余年联调联试工作的开展,积累了大量现场检测数据。依据灾害监测系统联调联试数据的特点,基于大数据技术对文档结构化、技术架构、分析方法、采用算法等进行选择,提出数据挖掘流程,从辅助决策、运维管理、测点优化、科学研究、厂家评价等方面提出期望目标并对成果应用进行分析。
With more than 10 years of testing and commissioning work, HSR disaster monitoring system has accumulated mass of site inspection data. According to the characteristic of testing and commissioning for disaster monitoring system, based on the big data selecting document structure, technology frame, analysis method and calculation adopted, this paper proposes the prospects for the data mining process from assistant decision-making, operation and maintenance management, measurement point optimization, scientific research and factory evaluation and analyzes the results application.
作者
武明生
杨礼
熊伟
WU Mingsheng;YANG Li;XIONG Wei(Institute of Computing Technology,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China)
出处
《中国铁路》
2019年第7期76-80,共5页
China Railway
关键词
高速铁路
灾害监测系统
大数据
联调联试
数据挖掘
HSR
disaster monitoring system
big data
testing and commissioning
data mining
