欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
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。
英文摘要：
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.
同期刊论文项目
同项目期刊论文
期刊信息
位置：