边坡监测中FCM聚类算法的应用研究

Application Research of the Slope Monitoring Based on FCM Clustering Algorithm

利用模糊聚类分析方法将边坡进行安全等级分类,在提高变形监测效率的基础上可降低工作量。FCM聚类分析算法更具科学性,是理论最为完善且应用较多的算法。利用边坡的坡角、高度、边坡所处的水文地质条件作为影响边坡稳定的影响指标,来对边坡监测点的安全等级分类,从而降低工作量,提高工作效率。

It is an effective way of deformation monitoring to classify the safety level of slop based on the fuzzy clustering analysis method, which reduces workload. And FCM clustering algorithm is a kind of algorithm of high scientific, comprehensive theory, widely used. And the stability of the slope is affected by the angle, the height and the hydrogeological conditions around it, which should be accounted about to classify the safety level of slop monitoring point, and it is a way of high efficiency with less work.