摘要
基于回归分析理论和指数平滑加权理论,提出回归趋势添加法.以隧道地表下沉实测数据为例,采用回归趋势添加法,对监控量测数据进行处理.分析结果表明:回归趋势添加法除可确定隧道现场监控量测频率外,还能预测数据发生突变的时间,解决现有数据处理手段不能有效地对隧道监测数据产生突变的情形进行及时预警的问题.该方法较其他方法操作更加简单,反馈信息更为准确,对隧道现场监控量测数据进行预测、预警具有明显的优越性.
Regression trend adding method(RTAM) based on regression theory and the exponential smoothing weighted theory is presented to effectively give a seasonable warning of the tunnel monitoring measurement data mutations that existing data pro- cessing method can't solve under some situations. After analyzing the measured ground surface subsidence of a tunnel,it can be seen that RTAM has its advantages to confirm the frequency of monitoring and to predict the periods of the mutations the monitoring project may have. This method is more simple in application, more accurate in the data feedback,and more effective during the early warning and forecast.
出处
《交通科学与工程》
2012年第2期29-36,共8页
Journal of Transport Science and Engineering
基金
国家自然科学基金资助项目(51078043)
关键词
回归趋势添加法
灰色局势决策
地表下沉
隧道监控量测
regression trend adding method (RTAM)
gray situation decision
groundsurface subsidence
tunnel monitoring measurement