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Bayes融合理论在库区滑坡动态变形监测中的应用研究
引用本文:彭鹏,单治钢,詹光亮,贾海波.Bayes融合理论在库区滑坡动态变形监测中的应用研究[J].水文地质工程地质,2012,39(1):120-125,131.
作者姓名:彭鹏  单治钢  詹光亮  贾海波
作者单位:1中国水电顾问集团华东勘测设计研究院,杭州310000;2 武汉大学水资源与水电工程科学国家重点实验室,武汉430072;3 江西华东岩土工程有限公司,南昌330029
基金项目:国家自然科学基金资助项目(50139030);人事部留学回国人员科技活动择优项目(501072);水利部公益性行业科研专项经费项目(200901064)
摘    要:滑坡体的工程地质特性及其时效,可由传感器采集到的滑坡体动态监测数据从一个侧面反映出来,而在多个传感器融合的过程中,常常出现各个评价指标不一致的现象。为消除这种现象,采用基于Bayes理论的决策级融合方法,将其应用于西南某滑坡动态变形的监测分析。经分析知:该滑坡先后经历了缓慢变形期、匀速变形期、加速变形期和急剧变形期。表明该滑坡具有阶段性变化的特点,符合滑坡变形的一般自然规律。同时证明了该方法在滑坡动态变形监测与分析中的有效性和可行性。

关 键 词:多传感器系统  Bayes理论  数据级融合方法  动态变形监测

Application of multi-sensor valuation based on Bayes fusion theory to the dynamic deformation for landslide monitoring
PENG Peng , SHAN Zhi-gang , ZHAN Guang-liang , JIA Hai-bo.Application of multi-sensor valuation based on Bayes fusion theory to the dynamic deformation for landslide monitoring[J].Hydrogeology and Engineering Geology,2012,39(1):120-125,131.
Authors:PENG Peng  SHAN Zhi-gang  ZHAN Guang-liang  JIA Hai-bo
Affiliation:1Hydro China Hua dong Engineering Corporation, Hangzhou310000, China; 2State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan430072, China; 3Jiangxi East China Geotechnical Project Limited Company, Nanchang330029, China
Abstract:Many sensors are used to collect the comprehension information in landslides,which may reflect time-variance of a landslide.In the procedure of multi-sensor data fusion,some evaluation indexes are inconsistent.In order to eliminate this phenomenon,Bayes data fusion theory is employed.Analysis of landslides is carried out by using a decision-making fusion method.The results indicate that the landslide had experienced a slow deformation stage/ accelerated deformation stage/uniform motion deformation stage/ rapid deformation stage.It is consistent with the law of nature.The feasibility and effectiveness of the method had also been proved at the same time.
Keywords:multi-sensor system  Bayes theory  pixel-level fusion method  dynamic deformation monitoring
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