摘要
从地铁施工灾害风险源入手,采用多维关联规则数据挖掘方法甄选出关键警兆指标;EPC编码标签和监控看板对关键警兆指标信息进行标识;RFID射频识别技术实现信息的自动识别和远程监控.以期达到地铁施工现场各类分散风险信息的准确采集、实时监控和动态跟踪.
This article starts from the subway construction disaster risk source, using multidimensional association rules data mining rfi^thod to select key warning signs indicators. EPC code labels and mo- nitoring billboards is used to identify the key warning signs indicator information and RFID radio fre quency identification technology is used for automatic identification of information and remote monito ring, in order to achieve the accurate collection of various types of risk diversification information, re- al-time monitoring and dynamic tracking, lay the foundation for the establishment of disaster early warning monitoring system of subway construction.
出处
《武汉理工大学学报（交通科学与工程版）》
2012年第4期726-730,共5页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
天津市科技支撑项目资助(批准号:10ZCKFSF01200)
关键词
多维关联规则
EPC编码
RFID
实时动态监控
multidimensional association rules
EPC code
RFID
real-time dynamic monitoring
