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本文从地铁施工灾害风险源入手,对地铁施工事故数据进行分析。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,并根据地铁施工现场调研形成了监控看板。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,为建立地铁施工灾害预警监控系统奠定基础,为发生施工灾害时启动预案和确定实施强度提供决策支持。
This article starts with the risk source of subway construction disasters and analyzes the data of subway construction accidents. The key warning indicators were selected by multidimensional association rules data mining method. The EPC coding tags and monitoring kanban were used to identify the key warning indicators information. The RFID radio frequency identification technology was used to realize the automatic identification and remote monitoring of the information. According to the subway construction site investigation, Monitor kanban. In order to achieve accurate collection, real-time monitoring and dynamic tracking of all kinds of decentralized risk information in subway construction site, it laid the foundation for the establishment of early warning and monitoring system for subway construction disasters and provided decision support for the start-up plan and the implementation intensity in case of construction disasters.