Citation: | Xu Dexin, Peng Hanfa, Xiao Jie, Yang Qibo, Li Sanfeng, Liu Hui. Key technology and application of integrated management of urban pan-spatial 3D model data[J]. Bulletin of Geological Science and Technology, 2023, 42(1): 388-397. doi: 10.19509/j.cnki.dzkq.2022.0182 |
With the rapid development of urban 3D geological information system and its application, the demand for visualization accuracy of geological data is increasing. Geological survey data are often multi-source, multi-dimensional, massive, multi-topic, multi-scale and multi-temporal, which makes it difficult to store, organize and manage 3D data.Therefore, it is of great interest for scholars in the field of urban geological information science to efficiently manage and effectively utilize the complex and massive geological data to solve various complex geological problems and serve the society. Based on the construction process of a full-space map of the multi-factor urban geological survey of Wuhan, this paper systematically explores the key technologies in the construction of the One Map system for urban geological survey and puts them into practice. Four aspects are explicitly considered, namely, distributed storage and fusion management of a multi-source 3D models, lightweight full-space 3D model construction, fast rendering of multi-source heterogeneous massive 3D data, and application of 3D model analysis in browser, and an example is put forward. It realizes the efficient integration of large-scale and high-precision 3D geological models at the city level, improves the visualization expression effect of multi-factor urban geological survey results, and lays a solid foundation for the application of 3D geological models.
[1] |
黄少芳, 刘晓鸿. 地质大数据应用与地质信息化发展的思考[J]. 中国矿业, 2016, 25(8): 166-170. doi: 10.3969/j.issn.1004-4051.2016.08.035
Huang S F, Liu X H. Think about the application of geological big data and geological information development[J]. China Mining Magazine, 2016, 25(8): 166-170 (in Chinese with English abstract). doi: 10.3969/j.issn.1004-4051.2016.08.035
|
[2] |
陈建平, 李婧, 崔宁, 等. 大数据背景下地质云的构建与应用[J]. 地质通报, 2015, 34(7): 1260-1265. doi: 10.3969/j.issn.1671-2552.2015.07.002
Chen J P, Li J, Cui N, et al. The construction and application of geological cloud under the big data background[J]. Geological Bulletin of China, 2015, 34(7): 1260-1265 (in Chinese with English abstract). doi: 10.3969/j.issn.1671-2552.2015.07.002
|
[3] |
张生德, 王磊. 三维可视地理信息系统在城市规划中的应用研究[J]. 中国图象图形学报, 2001, 6(9): 123-127. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGTB200109021.htm
Zhang S D, Wang L. Application of 3D visual geographic information system in urban planning[J]. Journal of Image and Graphics, 2001, 6(9): 123-127 (in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGTB200109021.htm
|
[4] |
王永志, 包晓栋, 缪谨励, 等. 基于大数据的地质云监控平台建设与应用[J]. 地球物理学进展, 2018, 33(2): 850-859. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ201802054.htm
Wang Y Z, Bao X D, Miao J L, et al. Construction and application of GeoCloud monitoring platform based on big data[J]. Progress in Geophysics, 2018, 33(2): 850-859 (in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ201802054.htm
|
[5] |
王成善, 周成虎, 彭建兵, 等. 论新时代我国城市地下空间高质量开发和可持续利用[J]. 地学前缘, 2019, 26(3): 1-8. https://www.cnki.com.cn/Article/CJFDTOTAL-DXQY201903003.htm
Wang C S, Zhou C H, Peng J B, et al. A discussion on high quality development and sustainable utilization of China's urban underground space in the new area[J]. Earth Science Frontiers, 2019, 26(3): 1-8 (in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DXQY201903003.htm
|
[6] |
吴冲龙, 刘刚, 张夏林, 等. 地质科学大数据及其利用的若干问题探讨[J]. 科学通报, 2016, 61(16): 1797-1807. https://www.cnki.com.cn/Article/CJFDTOTAL-KXTB201616011.htm
Wu C L, Liu G, Wang L Z, et al. Disscussion on geological science big data and its applications[J]. Chinese Science Bulletin, 2016, 61(16): 1797-1807 (in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-KXTB201616011.htm
|
[7] |
吴冲龙, 刘刚, 王力哲, 等. 基于大数据的城市地质环境智能监管思路与方法[J]. 地质科技通报, 2020, 39(1): 157-163. doi: 10.19509/j.cnki.dzkq.2020.0117
Wu C L, Liu G, Wang L Z, et al. Thinking and methods of intelligent supervision of urban geological environment based on big data[J]. Bulletin of Geological Science and Technology, 2020, 39(1): 157-163 (in Chinese with English abstract). doi: 10.19509/j.cnki.dzkq.2020.0117
|
[8] |
容东林, 尚建嘎, 甘地. 城市三维地质信息系统建设统一过程方法与实践[J]. 地质科技情报, 2016, 35(1): 212-217. https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201601033.htm
Rong D L, Shang J G, Gan D. Unified process for the building of 3D urban geological information system[J]. Geological Science and Technology Information, 2016, 35(1): 212-217 (in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201601033.htm
|
[9] |
宋越, 高振记, 王鹏. 基于大数据技术的云端城市地质三维可视化框架[J]. 中国矿业, 2020, 29(6): 81-86. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGKA202006014.htm
Song Y, Gao Z J, Wang P. Framework of 3D visualization for city geology in cloud platform based on big data technique[J]. China Mining Magazine, 2020, 29(6): 81-86 (in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGKA202006014.htm
|
[10] |
宋越, 高振记, 吴自兴, 等. 地上地下一体化三维可视化平台基本技术框架[J]. 地质论评, 2019, 65(增刊1): 309-310. https://www.cnki.com.cn/Article/CJFDTOTAL-DZLP2019S1146.htm
Song Y, Gao Z J, Wu Z X, et al. The basic technical framework of the ground and underground integrated 3D visualization platform[J]. Geological Review, 2019, 65(S1): 309-310 (in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DZLP2019S1146.htm
|
[11] |
阮明, 钱婷. 城市地下空间三维可视化平台研究[J]. 地理空间信息, 2020, 18(4): 34-37. https://www.cnki.com.cn/Article/CJFDTOTAL-DXKJ202004008.htm
Ruan M, Qian T. Research on 3D visualization platform of urban underground space[J]. Geospatial Information, 2020, 18(4): 34-37 (in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DXKJ202004008.htm
|
[12] |
李佳伟. 三维城市空间一体化集成建模技术研究[D]. 成都: 成都理工大学, 2019.
Li J W. Research on integrated modeling technology of 3D urban space[D]. Chengdu: Chengdu University of Technology, 2019 (in Chinese with English abstract).
|
[13] |
刘彦锋, 张文彪, 段太忠, 等. 深度学习油气藏地质建模研究进展[J]. 地质科技通报, 2021, 40(4): 235-241. doi: 10.19509/j.cnki.dzkq.2021.0417
Liu Y F, Zhang W B, Duan T Z, et al. Progress of deep learning in oil and gas reservoir geological modeling[J]. Bulletin of Geological Science and Technology, 2021, 40(4): 235-241 (in Chinese with English abstract). doi: 10.19509/j.cnki.dzkq.2021.0417
|
[14] |
晏四方, 郭亮, 粟梽桐, 等. 二三维一体化的城市三维仿真应用系统设计与实现: 以琶洲为例[J]. 测绘与空间地理信息, 2018, 41(4): 69-71. https://www.cnki.com.cn/Article/CJFDTOTAL-DBCH201804020.htm
Yan S F, Guo L, Li Z T, et al. Design and implementation of two or three dimensional integrated urban 3D simulation application system: Taking Pazhou as an example[J]. Geomatics & Spatial Information Technology, 2018, 41(4): 69-71 (in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DBCH201804020.htm
|
[15] |
刘北胜. 基于云渲染的三维BIM模型可视化技术研究[J]. 北京交通大学学报, 2017, 41(6): 107-113. https://www.cnki.com.cn/Article/CJFDTOTAL-BFJT201706019.htm
Liu B S. Research on cloud rendering based 3D BIM model visualization techniques[J]. Journal of Beijing Jiaotong University, 2017, 41(6): 107-113 (in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-BFJT201706019.htm
|
[16] |
孟耀伟, 孙毅中. 一种三维建筑物模型与数据组织方法[J]. 测绘科学, 2017, 42(9): 138-142. https://www.cnki.com.cn/Article/CJFDTOTAL-CHKD201709026.htm
Meng Y W, Sun Y Z. A method for 3D building model and data organization[J]. Science of Surveying and Mapping, 2017, 42(9): 138-142 (in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-CHKD201709026.htm
|
[17] |
魏振华, 刘志锋, 李金萍, 等. 基于要素扩展管理的海量地质空间数据存储模型的设计与实现[J]. 计算机应用与软件, 2014, 31(7): 36-39. https://www.cnki.com.cn/Article/CJFDTOTAL-JYRJ201407011.htm
Wei Z H, Liu Z F, Li J P, et al. Design and realization of massive Geo-spatial data storage model based on feature expanding management[J]. Computer Application and Software, 2014, 31(7): 36-39 (in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-JYRJ201407011.htm
|
[18] |
刘军旗, 刘强, 刘千慧, 等. 大数据时代地质灾害数据管理及应用模式探讨[J]. 地质科技通报, 2021, 40(6): 276-282, 292. doi: 10.19509/j.cnki.dzkq.2021.0627
Liu J Q, Liu Q, Liu Q H, et al. Discussion of geological hazard data management and application model in big data era[J]. Bulletin of Geological Science and Technology, 2021, 40(6): 276-282, 292 (in Chinese with English abstract). doi: 10.19509/j.cnki.dzkq.2021.0627
|
[19] |
王想红, 屈红刚, 王占刚. 基于Geo3DML的三维地质模型数据管理研究[J]. 中国矿业, 2016, 25(增刊2): 100-103. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGKA2016S2027.htm
Wang X H, Qu H G, Wang Z G. Research on data management of three-dimensional geological model based on Geo3DML[J]. China Mining Magazine, 2016, 25(S2): 100-103 (in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGKA2016S2027.htm
|
[20] |
田宜平, 吴冲龙, 翁正平, 等. 地质大数据可视化关键技术探讨[J]. 地质科技通报, 2020, 39(4): 29-36. doi: 10.19509/j.cnki.dzkq.2020.0404
Tian Y P, Wu C L, Weng Z P, et al. Key technologies of geological big data visualization[J]. Bulletin of Geological Science and Technology, 2020, 39(4): 29-36(in Chinese with English abstract). doi: 10.19509/j.cnki.dzkq.2020.0404
|