基于三维地理信息的滑坡监测及变形预测智能分析

LANDSLIDE MONITORINGAND INTELLIGENT ANALYSIS ON DEFORMATION PREDICTION BASED ON THREE DIMENSIONAL GEOGRAPHIC INFORMATION

将滑坡监测与当前先进的三维可视化及地理信息技术相结合,建立了三维滑坡的监测信息系统,实现了滑坡监测信息与监测场址三维地理信息的综合表达,为滑坡监测方案设计和监测成果的综合分析提供了一个可视化的信息平台。针对滑坡位移复杂的非线性演化问题,结合时间序列分析的基本思想,采用遗传算法确定时间序列模型的结构和参数,从而获得滑坡变形的预测模型。以福宁高速公路八尺门滑坡为研究实例,介绍了三维滑坡监测信息系统的结构、功能及算法,并对滑坡变形的非线性位移进行了智能预测分析。

Based on the integrating technology of landslide monitoring and three-dimensional geographic information, a monitoring information system of three-dimensional landslide is proposed. Subsequently, the synthetic expression of in-situ monitoring information and three-dimensional geographic information is implemented in the system, which provides an information platform for the synthetic analysis of monitoring scheme and its visualization. Aiming at the nonlinear evolutive problem of landslide displacement, the basic ideas of time series are employed, and the genetic algorithm is used in determining the structure and parameters of the time series model which are then used in the construction of the predicting model for landslide deformation. The Bachimen landslide of Funing highway, Fujian, China, is taken as an example to show the basic structure, functions and algorithm of the system of three-dimensional monitoring information. In addition, the landslide displacement based on the in-situ monitoring data is predicted.