Figures & data
Figure 1. 3D scene of the exposed profile of Ruqin Lake.
Figure 2. Ruqin lake ((a) Point cloud data and (b) Triangulated irregular network).
Figure 3. Tangshan quarry park ((a) 3D scene and (b) Triangulated irregular network).
Figure 4. A system of rules for recognizing rock discontinuities.
Figure 5. Construction of a geologic knowledge base for rock discontinuity information extraction.
Table 1. Rock discontinuity object properties.
Table 2. Relationship between rock discontinuity objects.
Figure 6. Complementary discontinuity trace lines.
Figure 7. Construction of the rock discontinuity rule engine.
Figure 8. Flowchart for the implementation of the knowledge-based intelligent recognition method for rock discontinuities with point cloud data.
Figure 9. Rock discontinuity grouping rules ((a) Study area and (b) Schematic diagram).
Figure 10. Occurrence inference of fractured rock ((a) Fractured rock masses and (b) Schematic diagram).
Figure 11. Schematic diagram of conformity and pseudoconformity occurrence rules.
Figure 12. Occurrence consistency rule ((a) Spatial displacement and (b) Schematic diagram).
Figure 13. Rock discontinuities identification results for Ruqin Lake (top view).
Figure 14. 3D scene of the exposed profile of Ruqin Lake (front view).
Figure 15. Rock discontinuities identification results of Ruqin Lake study area ((a) Results of applying region growing method and (b) Results of applying rules).
Table 3. Results of the application of the rock discontinuity grouping rules.
Figure 16. Results of the Ruqin Lake ((a) Dip angle and (b) Dip direction).
Table 4. Quantitative analysis of the new method in discontinuity estimation.
Figure 17. Rock discontinuities identification results of Tangshan Quarry Park study area ((a) Results of applying region growing method and (b) Results of applying rules).
