首页 | 官方网站   微博 | 高级检索  
     

岩土工程安全监测异常值属性的识别方法
引用本文:陈志坚,陈松,董学武,李筱艳.岩土工程安全监测异常值属性的识别方法[J].水电自动化与大坝监测,2004,28(1):40-44.
作者姓名:陈志坚  陈松  董学武  李筱艳
作者单位:1. 河海大学土木工程学院,江苏省,南京市,210098
2. 苏通大桥建设指挥部,江苏省,南通市,226009
基金项目:国家重点基础研究发展规划资助项目(2002CB412707)
摘    要:针对施工期间岩土工程安全监测系统具有不完善、干扰和影响因素多、人工监测比重大等特点,介绍了监测数据可靠性检查和异常值监测方法,在将异常值分为假异常、表观异常和征兆异常后,结合工程实践阐述了异常值属性的识别原则和方法,并以实例分析了常见的导致假异常和表观异常的原因。这些分析方法是监测数据处理系统的必要组成部分。

关 键 词:岩土工程  监测数据  异常值  异常属性  识别方法
收稿时间:1/1/1900 12:00:00 AM
修稿时间:1/1/1900 12:00:00 AM

IDENTIFICATION METHOD OF SINGULAR DATA AND THEIR ATTRIBUTE FOR SAFETY MONITORING
Chen Zhijian,Chen Song,Dong Xuewu,Li Xiaoyan.IDENTIFICATION METHOD OF SINGULAR DATA AND THEIR ATTRIBUTE FOR SAFETY MONITORING[J].HYDROPOWER AUTOMATION AND DAM MONITORING,2004,28(1):40-44.
Authors:Chen Zhijian  Chen Song  Dong Xuewu  Li Xiaoyan
Abstract:The monitoring system of geotechnical engineering projects for the construction period is not perfect. Many affecting factors are involved and few automatic observations are applied. Methods of reliability examination and singular data identification are introduced. The singular data are divided into false singular data, formal singular data and predictive singular data; then the principle and method of identification of the attribute of singular data are expounded in combination with engineering practice. At the same time, the general causes of false singularity and formal singularity are analyzed. These methods are a necessary part of the observed data processing system.
Keywords:geotechnical engineering  observed data  singular data  attribute of singularity  identification method
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《水电自动化与大坝监测》浏览原始摘要信息
点击此处可从《水电自动化与大坝监测》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号