Augmented visualization analysis for 3D geological models based on visual cues and variable combinations

doi:10.13474/j.cnki.11-2246.2022.0349

Abstract

Abstract: Visualization and visual analytics can improve the human perception of data. However, the visualization of 3D geological models is hindered by environmental elements such as the ground surface, which interrupts visual clues of the underground local space. The irregular geometric characteristics of 3D geological models also increase the difficulty of interactive analysis, and make it difficult for users to perceive and analyze the spatial and attribute characteristics of geological elements and inter-elements. In order to solve this problem, this paper proposes an augmented visualization analysis method for characteristics information of 3D geological models. This paper focuses on the combinations of multiple visual variables and monocular visual cues to achieve enhanced expression of key information and quantitative analysis of 3D geological models. The area geological units of a bridge and a tunnel in Sichuan-Tibet railway are selected for case study. The experiment results show that, compared with the existing 3D grid scale visualization analysis methods, the proposed method improves the analysis accuracy and efficiency by 13.63% and 29.32%, respectively. According to the statistical analysis of the participant survey, the proposed method also greatly improves the visualization effect and interaction experience. The proposed method can perceive and analyze the key characteristics information in complex 3D geological models more efficiently.

Key words: augmented visualization, 3D geological model, monocular visual cue, visual variables, spatial perception

CLC Number:

LI Zhihong, ZHU Qing, WU Xuequn, GUO Yongxin. Augmented visualization analysis for 3D geological models based on visual cues and variable combinations[J]. Bulletin of Surveying and Mapping, 2022, 0(12): 7-13.

References

[1] 李青元, 张洛宜, 曹代勇, 等. 三维地质建模的用途、现状、问题、趋势与建议[J]. 地质与勘探, 2016, 52(4):759-767.
[2] 周洪福, 冯治国, 石胜伟, 等. 川藏铁路某特大桥成都侧岸坡工程地质特征及稳定性评价[J]. 水文地质工程地质, 2021, 48(5):112-119.
[3] 吴冲龙, 张夏林, 周琦, 等. 数字勘查与地矿勘查行业数字化转型[J]. 贵州地质, 2021, 38(2):119-128.
[4] 张永双, 任三绍, 郭长宝, 等. 活动断裂带工程地质研究[J]. 地质学报, 2019, 93(4):763-775.
[5] 马震, 夏雨波, 王小丹, 等. 雄安新区工程地质勘查数据集成与三维地质结构模型构建[J]. 中国地质, 2019, 46(S2):123-138.
[6] 贾庆仁. 煤矿三维地质与巷道建模方法研究及应用[J]. 测绘学报, 2021, 50(9):1275.
[7] 朱庆, 朱军, 黄华平, 等. 实景三维空间信息平台与数字孪生川藏铁路[J]. 高速铁路技术, 2020, 11(2):46-53.
[8] 朱庆, 李函侃, 曾浩炜, 等. 面向数字孪生川藏铁路的实体要素分类与编码研究[J]. 武汉大学学报(信息科学版), 2020, 45(9):1319-1327.
[9] 朱庆, 王所智, 丁雨淋, 等. 铁路隧道钻爆法施工智能管理的安全质量进度知识图谱构建方法[J/OL]. 武汉大学学报(信息科学版), 2021:1-16. (2021-10-28). https://kns.cnki.net/kcms/detail/42.1676.TN.20211028.1223.004.html.
[10] LUKA AČEVIĆ F, ŠKEC S, PERIŠIĆ M M, et al. Spatial perception of 3D CAD model dimensions and affordances in virtual environments[J]. IEEE Access, 2020, 8:174587-174604.
[11] WALLER D, NADEL L. Handbook of spatial cognition[M]. Washington, DC:American Psychological Association, 2013.
[12] SATTER K M, BUTLER A C. Finding the value of immersive, virtual environments using competitive usability analysis[J]. Journal of Computing and Information Science in Engineering, 2012, 12(2):024504-024510.
[13] 杨成杰, 吴冲龙, 翁正平, 等. 矢量剪切技术在地质三维建模中的应用[J]. 武汉大学学报(信息科学版), 2010, 35(4):419-422.
[14] 郭甲腾, 代欣位, 刘善军, 等. 一种三维地质体模型的隐式剖切方法[J]. 武汉大学学报(信息科学版), 2021, 46(11):1766-1773.
[15] 钟德云, 王李管, 毕林. 复杂矿体模型多域自适应网格剖分方法[J]. 武汉大学学报(信息科学版), 2019, 44(10):1538-1544.
[16] 马钧霆, 陈锁忠, 何志超, 等. 面向GTP的三维地质模型空间剖切方法与应用[J]. 地球信息科学学报, 2015, 17(2):153-159.
[17] 毕林, 贾明涛, 陈鑫, 等. 基于八叉树的复杂矿体块段模型高效构建[J]. 华中科技大学学报(自然科学版), 2016, 44(6):123-127.
[18] 高乐, 刘奇缘, 徐述腾, 等. 矿床三维地质建模及储量估算:以丰村铅锌矿径口矿段为例[J]. 地质与勘探, 2016, 52(5):956-965.
[19] 张文彪, 段太忠, 刘彦锋, 等. 定量地质建模技术应用现状与发展趋势[J]. 地质科技情报, 2019, 38(3):264-275.
[20] 李伟, 陈建平, 褚志远, 等. 基于三维模型的西峪金伯利岩管与断裂构造关系探讨[J]. 地质学报, 2020, 94(9):2728-2735.
[21] 袁峰, 张明明, 李晓晖, 等. 成矿预测:从二维到三维[J]. 岩石学报, 2019, 35(12):3863-3874.
[22] 周洁, 王根厚, 崔玉良, 等. 基于3D Mine的阳山金矿安坝矿段三维建模研究及矿体形态分析[J]. 地质与勘探, 2017, 53(2):390-397.
[23] 张洋洋, 周万蓬, 吴志春, 等. 三维地质建模技术发展现状及建模实例[J]. 东华理工大学学报(社会科学版), 2013, 32(3):403-409.
[24] 黄超, 郎兴海, 娄渝明, 等. 西藏雄村Ⅰ号矿体三维地质建模与深部可视化应用[J]. 地质通报, 2021, 40(5):753-763.
[25] FURMANSKI C, AZUMA R, DAILY M. Augmented-reality visualizations guided by cognition:perceptual heuristics for combining visible and obscured information[C]//Proceedings of International Symposium on Mixed and Augmented Reality. Darmstadt, Germany:IEEE, 2002:215-320.
[26] BERTIN J.Semiology of graphics:diagrams, networks, maps[M]. Madison:University of Wisconsin Press, 1983.
[27] MUNZNER T. Visualization analysis and design[M]. Boca Raton:CRC Press, 2014:94-114.
[28] JANSEN Y, HORNBÆK K. A psychophysical investigation of size as a physical variable[J]. IEEE Transactions on Visualization and Computer Graphics, 2016, 22(1):479-488.
[29] LI Weilian, ZHU Jun, FU Lin, et al. An augmented representation method of debris flow scenes to improve public perception[J]. International Journal of Geographical Information Science, 2021, 35(8):1521-1544.
[30] 高俊, 曹雪峰. 空间认知推动地图学学科发展的新方向[J]. 测绘学报, 2021, 50(6):711-725.