Abstract: The identification and acquisition of geometric information regarding discontinuities are essential for analyzing the structural characteristics of rock mass,which provides the foundational data for slope stability analysis,tunnel stability prediction,engineering classification of rock mass,tunnel support design,and related tasks.Due to the low efficiency,high risk,and low precision of conventional information collection methods,it is necessary to develop intelligent information acquisition and identification methods to capture the regularity of discontinuities.This paper presents an overview of the current application status of non-contact measurement information acquisition technologies,specifically 3D laser scanning and photogrammetry.Additionally,focusing on the orientation,cluster,trace,and spacing characteristics of discontinuities,the research progress of identification and extraction algorithms are discussed,such as cluster-based methods,region-based segmentation methods,and artificial neural network methods.Lastly,the application directions of the discontinuity information acquisition and identification methods are analyzed from three perspectives:block size identification,slope stability analysis,intelligent classification of rock mass,and dynamic support design.The findings demonstrate that achieving rapid and automatic analysis of rock structures relies on three key factors:Firstly,developing and implementing high-precision and high-efficiency information acquisition technology for engineering.Secondly,researching fine algorithms for structural discontinuities recognition combined with geological information,and thirdly constructing a comprehensive,full-process automatic system.