关键词: 边坡稳定性　, 多视角无人机测量技术　, 主成分分析　, 边坡质量分级　, 结构特征

Abstract: Traditional methods for measuring rock mass data on slopes with complex terrain often suffer from low meas urement accuracy and poor safety.By integrating multi-view Unmanned Aerial Vehicle Surveying (UAVS),Principal Compo nent Analysis (PCA),and the Chinese Slope Mass Rating (CSMR) method,a novel slope stability analysis method,termed UAVS-PCA-CSMR,is proposed.In this method,UAVS is first employed to acquire various data of the slope rock mass and to construct a three-dimensional model;then,the PCA algorithm is applied to identify the structural features of the rock mass with in the model;finally,the CSMR method,combined with the identified structural features,is used to analyze the stability of a specific slope rock mass.The results demonstrate that when measuring rock mass data in different zones of the slope,the accu racy exceeds 90%,and the identification error for the dip angle of the slope structural planes is only ±3°.The gCSMR value ob tained for the slope rock mass is 85.4,indicating relatively high slope stability,and the analytical results are in good agreement with the actual field conditions.This study reflects that the integrated research approach of “measurement-modeling,structural identification,and stability analysis” provides a valuable reference for slope stability investigations.

Key words: slope analysis,multi-view UAVS,PCA,CSMR,structural characteristics