多传感器估值融合理论在滑坡动态变形监测中的应用研究

彭鹏; 单治钢; 董育烦; 贾海波; 霍吉祥

多传感器估值融合理论在滑坡动态变形监测中的应用研究

1.
华东勘测设计研究院杭州 310000;
2.
河海大学地球科学与工程系南京 210098

基金项目:

国家自然科学基金项目(50139030);人事部留学回国人员科技活动择优项目(501072)

详细信息

作者简介:
彭鹏,主要从事水工建筑物地质体安全及地质灾害研究.Email:hhu_pengpeng@126.com

中图分类号: P642
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- 被引次数: 0
出版历程
- 收稿日期: 2011-06-20
- 修回日期: 2011-11-16
- 刊出日期: 2011-12-25

APPLICATION OF MULTI-SENSOR VALUATION FUSION THEORY TO MONITORING DYNAMIC DEFORMATION OF LANDSLIDES

1.
Hydro China Hua-Dong Engineering Corporation,Hangzhou 310000;
2.
Department of Earth Science and Engineering,Hohai University,Nanjing 210098

摘要

摘要: 在滑坡动态变形监测中一般会在滑坡体上布置多个传感器,以进行综合观测。目前的监测模型仅依靠某个关键点的数据进行评判分析,容易造成原始数据信息的流失,且以往的研究多集中于监测数据的整合,并未考虑传感器自身的因素,引起融合结果的不精确。为了克服以上不足,引入多传感器估值融合理论,选用误差均方差为评价指标,证明多源数据融合方法优于任意单一数据评价方法后,采用较高级的决策级融合方法,将其应用于西南某滑坡动态变形的监测分析,融合后的数据较为理想,消除了融合前数据的矛盾性和不准确性,获得了被测对象的一致性描述和解释。经分析知:该滑坡的整体位移随时间的增大而增大,且年均下滑速度也呈现上涨趋势,具有阶段性变化的特点。自监测之日起至今,由位移信息反映出该滑坡形变经历了以下4个不同的时期: 2006年7月至2007年9月的缓慢变形期; 2007年9月至2008年9月的匀速变形期; 2008年9月至2009年8月的加速变形期; 2009年8月至2010年2月的急剧变形期,这符合滑坡的工程特性依时性变化规律。另外, 2个不同时期的交接位置,大多发生在8月与9月间,这最主要是因为该时期当地的降雨量比较大,由此反映出降雨入渗是引起该滑坡发生位移变形的主要因素,亦符合滑坡的一般自然规律。同时证明了该方法在滑坡动态变形监测与分析中具有有效性和可行性。
- 多传感器系统 /
- 误差协方差 /
- 估值融合方法 /
- 滑坡动态变形监测
Abstract: Many sensors usually are installed in a landslide body.So,their comprehension information can be extracted.Only one key monitoring sensor instead of the others is usually used in the prediction model at the same time in the landslide at present.The present prediction model can't make a full use of the monitoring data from the many sensors.The errors from the sensors cannot be considered in the model too.In order to overcome the above shortcomings,multi-sensor valuation fusion theory has been developed and used.The fusion efficiency of multi-sensor is theoretically proved to be better than that of any single sensor.Analysis of landslide is carried out by using a pixel-level fusion method.The result identifies that the landslide had experienced slowly deformation stage form July 2006 to September 2007and uniform motion deformation stage form September 2007 to September 2008and accelerated deformation stage form September 2008 to August 2009and rapidly deformation stage form August 2009 to February 2010.Such result is consistent with the law of nature.Two different periods of transitional,happened in August and September,which reflected the rain is the main factors caused landslide sliding.And the feasibility and effectiveness of the method is also proved at the same time.
- multi-sensor system /
- Error covariance /
- Valuation fusion theory /
- Dynamic deformation for landslide monitoring

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参考文献(1)

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