Engineering geological surveying and mapping method and system based on three-dimensional laser scanning

Abstract

The invention relates to the technical field of artificial intelligence, in particular to an engineering geological surveying and mapping method and system based on three-dimensional laser scanning. The method comprises the following steps: clustering three-dimensional point cloud data of engineering geology to obtain a plurality of point cloud clusters and the point cloud density; obtaining a plurality of standard point cloud clusters and the standard point cloud density by carrying out density clustering on the standard point cloud data of the engineering geology; judging the point cloud precision of the three-dimensional point cloud data by comparing the three-dimensional point cloud data with the standard point cloud data, and then obtaining the confidence coefficient of the point cloud cluster; performing connected domain analysis on the two-dimensional distribution diagram of the point cloud cluster to obtain a point cloud feature vector of the point cloud cluster; correcting the confidence coefficient by using the steep degree of the area where the point cloud cluster is located to obtain a new confidence coefficient; and combining the point cloud feature vector and the new confidence coefficient to obtain a geological score of the corresponding region. Feature analysis is carried out on the three-dimensional point cloud data meeting the point cloud precision, and the distribution features of the three-dimensional point cloud data are analyzed to ensure that an accurate engineering geological score is obtained, thereby preventing a construction position from being selected mistakenly.

Description

Technical field[0001]The present invention relates to the field of artificial intelligence, and in particular to engineering geological mapping methods and systems based on three-dimensional laser scanning.Background technique[0002]Engineering geological mapping is a most important and most basic survey method in engineering geological surveys. Currently, the industry is reconstructed by three-dimensional geological model through three-dimensional point cloud information, which typically uses point cloud data through conventional pretreatment, or a point-worth point cloud data.[0003]In practice, the above prior art has the following defects: point cloud data is from offset, stretching, stretching, etc. due to the vibration or high-speed movement of the drone during the acquisition process. Furthermore, it affects the judgment of engineering geology and the choice of optimal construction position.Inventive content[0004]In order to solve the above technical problems, it is an object o...

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Problems solved by technology

[0003] In practice, the inventor found that the above-mentioned existing technology has the following defects: during the collection of point cloud data, due to the vibration or high-speed movement of the drone, the point cloud data often shifts, stretches, etc. In turn, it affects the judgment of engineering geology and the selection of the optimal construction location

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