摘要
基于国内外对数据挖掘技术在隧道方面的应用研究及发展分析,作者对数据挖掘技术在隧道围岩变形、隧道病害的预测、隧道交通安全及交通流的评价分析等方面应用上的方法和特点进行了分析和综述。结合在建隧道施工安全的要求和在役隧道维修与养护的需要,指出了数据挖掘技术在隧道施工过程中面对风险因素的复杂性与动态性探究以及在隧道正常运营中的维修养护和安全问题等方面研究分析存在的不足。在此基础上,提出了数据挖掘技术在涉及隧道施工、隧道正常运营应用过程中的总体思路。
Based on the application research and development analysis of data mining technology in tunnels at home and abroad,the methods and characteristics of data mining technology in tunnel surrounding rock deformation,tunnel disease prediction,tunnel traffic safety and traffic flow evaluation and analysis are analyzed and summarized.Combined with the safety requirements of tunnel construction and the maintenance and maintenance of in-service tunnels,this paper points out the shortcomings of data mining technology in the study and analysis of the complexity and dynamic exploration of risk factors in tunnel construction and the maintenance,maintenance and safety problems in normal operation of tunnels.On this basis,the general idea of data mining technology in the process of tunnel construction and normal operation is put forward.
作者
王景鑫
周浩宇
高兴阳
WANG Jingxin;ZHOU Haoyu;GAO Xingyang(School of Transportation and Logistics Engineering,Xinjiang Agricultural University,Urumqi 830052,China;Xinjiang Beipeng Wood Engineering Inspection Consulting Co.,Ltd.,Urumqi Xinjiang 830011,China)
出处
《交通节能与环保》
2020年第6期130-134,150,共6页
Transport Energy Conservation & Environmental Protection
关键词
隧道工程
数据挖掘
动态风险评估
地表沉降
交通安全
tunnel works
data mining
dynamic risk assessment
surface subsidence
traffic safety
