DFOS-based Association Rules Analysis on the Multi-fields Data of Slope
The distribution information of multi-fields slope can be obtained by using distributed optical fiber sensing (DFOS) technology.Nevertheless, it is still a quite complicated work to analyze massive amounts of information about multiple fields relatively, and to evaluate the slope stability under multi-fields coupling effect.This paper introduces the basic principle of association rules analysis method in data mining.It designs distributed optical fiber monitoring projects on strain field, deformation field, seepage field, temperature field, environmental parameter of slope respectively.Taking Majiagou slope of Three Gorges as an example, this paper analyzes monitoring data of different fields with the method of data mining association rules, and it finds rules on matching attribute between monitoring time and fluctuation of reservoir water level, coordination between fluctuation of reservoir water level and groundwater level of slopes leading edge.Comparing with practical monitoring data, it proves that it is effective to analyze multiple fields of slope by adopting association rules, thereby providing scientific basis for slope stability evaluation and landslide forecast warning.
slope association rules DFOS multiple fields information Majiagou
Q.Jie B.Shi B.Fei Y.J.Sun
School of Earth Sciences and Engineering,Nanjing University,Nanjing,210023,China
国际会议
南京
英文
143-152
2014-10-12（万方平台首次上网日期，不代表论文的发表时间）