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时空信息学报 >

2025 , Vol. 32 >Issue 03: 245 - 256

DOI: https://doi.org/10.20117/j.jsti.202503005

地质信息化

数字地表基质调查系统设计与实现

  • LIU Yuanyuan ,
  • LI Fengdan ,
  • ZHANG Jinlong ,
  • LIU Chang ,
  • LYU ,
  • Xia
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  • 1.中国地质调查局自然资源综合调查指挥中心,北京 100055;
    2.自然资源部地质信息工程技术创新中心,北京 100055;
    3.中国地质调查局廊坊自然资源综合调查中心,廊坊 065000
刘园园,研究方向为地质信息技术、数字地质调查理论技术方法与应用。E-mail: liuyuan311@163.com
李丰丹,研究方向为智能地质调查技术,E-mail: 13810107437@139.com

收稿日期: 2024-11-14

  修回日期: 2025-02-11

  网络出版日期: 2025-12-03

基金资助

中国地质调查局项目（DD20230604）

收起

Design and implementation of digital surface substrate survey system

  • 刘园园 ,
  • 李丰丹 ,
  • 张金龙 ,
  • 刘畅 ,
  • 吕霞
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  • 1. Comprehensive Survey Command Center for Natural Resources, China Geological Survey, Beijing 100055, China;
    2. Innovation Center for Geological Information Engineering Technology, Ministry of Natural Resources, Beijing 100055, China;
    3. Langfang Natural Resources Comprehensive Survey Center, China Geological Survey,Langfang 065000, China

Received date: 2024-11-14

  Revised date: 2025-02-11

  Online published: 2025-12-03

Supported by

China Geological Survey Project (DD20230604)

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摘要

地表基质调查作为自然资源调查监测的新领域,地表基质调查相关的信息化研发工作同步推进,虽然已 有研究为地表基质调查信息化建设奠定了基础,但目前尚缺乏规范化、一体化的信息化系统,以支撑项目管理、 室内研究、野外调查、数据汇聚、成图建库、三维建模和成果服务整个业务过程数字化与数据全生命周期的生产 管理及服务。本文基于地质调查智能空间平台,研发公共底图数据在线服务和基于混合数据库的大数据存储等关 键技术,研究设计一体化混合数据库存储模型,形成面向地表地质调查的“云+端”数字化软件技术框架,研发 数字地表基质调查系统,以“一云+三端”应用系统共同构建覆盖地表地质调查全过程的软件体系,支撑实现地 表地质调查主流程的数字化。研发成果已在地表基质调查项目中得到验证和推广,提高了工作质量和效率,为全 国统一的地表基质调查成果数据库构建和服务奠定了基础。

关键词： 地表基质调查; 数字地质调查; 智能空间; 混合数据库; 存储模型

本文引用格式

LIU Yuanyuan , LI Fengdan , ZHANG Jinlong , LIU Chang , LYU , Xia . 数字地表基质调查系统设计与实现[J]. 时空信息学报, 2025 , 32(03) : 245 -256 . DOI: 10.20117/j.jsti.202503005

Abstract

[Objective] Ground substrate surveying, as an emerging field in the survey and monitoring of natural resources, has seen extensive exploratory research and demonstration efforts by numerous domestic experts and scholars in recent years. These endeavors have focused on the classification and surveying of ground substrates. Consequently, a preliminary technical system for ground substrate survey methods has begun to form. Simultaneously, advancements in information technology related to ground substrate surveys have progressed in tandem. Research and exploration by multiple teams have paved the way for the informatization of ground substrate surveys. However, there is currently a lack of an integrated information system to support the digitization and standardization of the entire investigation process. There is an urgent need to establish a digital software system to achieve the digitization of the entire business process and the full lifecycle management of business data. This would support the creation of a unified foundation and a single set of data for surface substrate investigations.
[Method] To address this issue, this paper designs and develops a digital surface substrate investigation system, which includes the following aspects: (1) Based on the analysis of data content and characteristics during the ground substrate survey process, and considering the features of current mature databases, an integrated hybrid database storage model was developed. This model combines “cloud storage + PostgreSQL relational database + MinIO object storage + MongoDB database.” (2) Centered on the concept of “one cloud, one database, one platform, three application terminals, two integrations, and two safeguards,” a five-layer architecture was adopted to construct the overall technical framework of the ground substrate survey system. (3) Drawing from the technical route of “indoor research, field survey, database modeling, and platform services” for ground substrate layer surveys, the digital workflow and system functional composition for ground substrate surveys were designed. (4) Key technologies were developed, such as online services for public base map data and big data storage based on hybrid databases. (5) The digital ground substrate survey system was developed. This system includes: A mobile subsystem for digital ground substrate survey field data collection; A desktop subsystem for digital ground substrate survey data editing and mapping; and A web subsystem for digital ground substrate survey data management and services.
[Result] The digital ground substrate survey system effectively supports the main process informatization of ground substrate surveying, including project management, data collection, data editing, data aggregation, mapping, database construction, and services. It enhances the efficiency of base map data services, field data collection, and data editing and mapping, achieving unified storage and management of data throughout the entire workflow.
[Conclusion] As compliance software for ground substrate survey standards, it lays the foundation for the standardization of data and the unified construction of a national ground substrate survey database.

Key words： ground substrate survey; digital geological survey; intelligent space; hybrid database; storage model

参考文献

陈崇成, 林剑峰, 吴小竹, 巫建伟, 连惠群. 2013. 基于 NoSQL 的海 量空间数据云存储与服务方法. 地球信息科学学报, 15(2): 166-174[Chen C C, Lin J F, Wu X Z, Wu J W, Lian H Q. 2013.Massive geo-spatial data cloud storage and services based on NoSQL database technique. Journal of Geo-Information Science, 15(2): 166-174 (in Chinese)]
陈军, 翟曦, 王艳慧, 阮于洲, 刘万增, 李晓波, 吴洪涛, 曹春华,王东华, 赵鹏军, 王久辉, 王立刚. 2024. 智慧国土的基本内涵 与发展方向. 时空信息学报, 31(2): 157-167[Chen J, Zhai X, Wang Y H, Ruan Y Z, Liu W Z, Li X B, Wu H T, Cao C H, Wang D H, Zhao P J, Wang J H, Wang L G. 2024. The basic connotation and development directions of smart territory. Journal of Spatio-temporal Information, 31(2): 157-167 (in Chinese)]
杜英魁, 王杨, 关屏, 彭跃, 赵丽娟, 刘枢. 2020. 基于 Spring Boot 的云端数据监控管理与可视化应用系统. 计算机系统应用, 29(5): 123-127[Du Y K, Wang Y, Guan P, Peng Y, Zhao L J, Liu S. 2020. Cloud data monitoring management and visual application system based on spring boot. Computer Systems & Applications, 29(5): 123-127 (in Chinese)]
葛良胜, 侯红星, 夏锐. 2022. 自然资源地表基质调查技术体系构建. 地理信息世界, 29(5): 20-27[Ge L S, Hou H X, Xia R. 2022.Construction of technical system for ground substrate survey of natural resources. Geomatics World, 29(5): 20-27 (in Chinese)]
葛良胜, 杨贵才. 2020. 自然资源调查监测工作新领域: 地表基质调查. 中国国土资源经济, 33(9): 4-11[Ge L S, Yang G C. 2020. New field of natural resources survey and monitoring: Ground substrate survey. Natural Resource Economics of China, 33(9): 4-11 (in Chinese)]
韩超然, 李霖, 任福. 2024. 森林火灾应急救援情景演化 Web 三维模拟——以四川省西昌市泸山“3. 30”森林火灾为例. 时空信 息学报, 31(4): 541-552[Han C R, Li L, Ren F. 2024. Web-based 3D simulation of the emergency rescue scenario evolution for forest fires: A case study of the “3. 30” forest fire in Lushan, Xichang city, Sichuan province. Journal of Spatio-temporal Information, 31(4): 541-552 (in Chinese)]
郝爱兵, 殷志强, 李洪宇, 鲁青原, 彭令, 邵海, 江奇达, 赵晓峰,刘玖芬, 庞菊梅, 杨柯, 陈彭, 孔繁鹏, 侯红星, 鲁敏. 2024. 地 表基质的科 学内涵与理 论框架 . 地质 学报 , 98(11): 3225-3237[Hao A B, Yin Z Q, Li H Y, Lu Q Y, Peng L, Shao H, Jiang Q D, Zhao X F, Liu J F, Pang J M, Yang K, Chen P, Kong F P, Hou H X, Lu M. 2024. The scientific connotation and theoretical framework of ground substrate. Acta Geologica Sinica, 98(11): 3225-3237 (in Chinese)]
侯红星, 葛良胜, 孙肖, 孔祥斌, 卢卫华, 秦天, 孔繁鹏, 杨华本,杨柯. 2022. 地表基质在中国黑土地资源调查评价中的应用探 讨——基于黑龙江宝清地区地表基质调查. 自然资源学报, 37(9): 2264-2276[Hou H X, Ge L S, Sun X, Kong X B, Lu W H, Qin T, Kong F P, Yang H B, Yang K. 2022. A study on the application of ground substrate in the survey and evaluation of China’s black soil resources: Based on ground substrate survey in Baoqing, Heilongjiang Province. Journal of Natural Resources, 37(9): 2264-2276 (in Chinese)]
侯红星, 张蜀冀, 鲁敏, 张中跃, 孙肖, 秦天, 王献, 张金龙, 邵兴坤, 王伟. 2021. 自然资源地表基质层调查技术方法新经 验 ——以保定地区地表基质层调查为例. 西北地质, 54(3):277-288[Hou H X, Zhang S J, Lu M, Zhang Z Y, Sun X, Qin T, Wang X, Zhang J L, Shao X K, Wang W. 2021. Technology and method of the ground substrate layer survey of natural resources: Taking Baoding area as an example. Northwestern Geology, 54(3): 277-288 (in Chinese)]
黄丝米, 唐海涛, 徐利霞, 柳丽香. 2023. MinIO 分片大小对文件上传性能的影响. 计算机时代, (1): 1-3, 7[Huang S M, Tang H T, Xu L X, Liu L X. 2023. Impact of the fragment size of MinIO on file upload performance. Computer Era, (1): 1-3, 7 (in Chinese)]
贾磊, 刘洪, 欧阳渊, 张伟, 窦磊, 刘子宁, 莫滨, 陈恩, 张腾蛟.2022. 基于地质建造的南方山地–丘陵区地表基质填图单元划分方案——以珠三角新会–台山地区为例. 西北地质, 55(4): 140-157[Jia L, Liu H, Ou Y Y, Zhang W, Dou L, Liu Z N, Mo B, Chen E, Zhang T J. 2022. Division scheme of surface substrate mapping units of mountainous-hilly area in south china base on geologiacal formations research:Example form Xinhui-Taishan area in pearl river delta. Northwestern Geology, 55(4): 140-157(in Chinese)]
雷德龙, 郭殿升, 陈崇成, 巫建伟, 吴小竹. 2014. 基于 MongoDB 的矢量空间数据云存储与处理系统. 地球信息科学学报, 16(4): 507-516[Lei D L, Guo D S, Chen C C, Wu J W, Wu X Z. 2014. Vector spatial data cloud storage and processing based on MongoDB. Journal of Geo-Information Science, 16(4): 507-516 (in Chinese)]
李超岭, 李丰丹, 李健强, 刘园园, 刘畅, 吕霞. 2015. 智能地质调查体系与架构. 中国地质, 42(4): 828-838[Li C L, Li F D, Li J Q, Liu Y Y, Liu C, Lv X. 2015. Smart geological survey architecture. Geology in China, 42(4): 828-838 (in Chinese)]
李超岭, 李丰丹, 吕霞, 李健强, 刘畅, 刘园园. 2015. 地质调查智能空间体系与架构. 测绘学报, 44(S1): 143-151, 159[Li C L, Li F D, Lv X, Li J Q, Liu C, Liu Y Y. 2015. The architecture of geological survey intelligent space. Acta Geodaetica et Cartographica Sinica, 44(S1): 143-151, 159 (in Chinese)]
李超岭, 杨东来, 李丰丹, 刘畅, 刘修国, 于庆文, 吕霞. 2008. 中国数字地质调查系统的基本构架及其核心技术的实现. 地质通报, 27(7): 923-944[Li C L, Yang D L, Li F D, Liu C, Liu X G, Yu Q W, Lyu X. 2008. Basic framework of the digital geological survey system and application of its key technology. Geological Bulletin of China, 27(7): 923-944 (in Chinese)]
刘洪博, 孔繁鹏, 赵建, 何金宝, 刘博文. 2022. 地表基质调查技术方法探索与实验——以黑龙江省宝清县黑土地调查为例. 地理 信息世界, 29(6): 1-5[Liu H B, Kong F P, Zhao J, He J B, Liu B W. 2022. Exploration and experiment of surface substrate investigation technique: A case study of black soil investigation in Baoqing County, Heilongjiang Province. Geomatics World, 29(6): 1-5 (in Chinese)]
刘丽. 2015. 基于 DGSGIS 的地下水资源调查野外数据采集桌面系统研发. 硕士学位论文. 北京: 中国地质科学院[Liu L. 2015. Development of field data collection desktop system on groundwater resources investigation based on DGSGIS. Master Dissertation. Beijing: Chinese Academy of Geological Sciences(in Chinese) ]
鲁敏, 侯红星, 王献. 2020. 河北省保定地区自然资源地表基质层试点调查 2020 年实施方案. 技术报告. 中国地质调查局廊坊自然 资源综合调查指挥中心[Lu M, Hou H X, Wang X. 2020. 2020 Implementation Plan for the Pilot Survey of the Ground Substrate Layer Survey of Natural Resources in Baoding, Hebei. Technical Report. Natural Resources Comprehensive Survey Center, China Geological Survey (in Chinese)]
任雯倩, 李丰丹, 龚爱华, 吕霞. 2023. 地质调查数据资源描述框架 构建方法研究. 矿产勘查, 14(3): 491-501[Ren W Q, Li F D, Gong A H, Lyu X. 2023. Research on the construction method of geological survey data resource description framework. Mineral Exploration, 14(3): 491-501 (in Chinese)]
谭永杰, 刘荣梅, 朱月琴, 文敏. 2023. 论地质大数据的特点与发展方向. 时空信息学报, 30(3): 313-320[Tan Y J, Liu R M, Zhu Y Q, Wen M. 2023. On the characteristics and development directions of geological big data. Journal of Spatio-temporal Information, 30(3): 313-320 (in Chinese)]
王献, 鲁敏, 侯红星, 孙肖, 王浩浩, 乔衍溢, 刘勇. 2023. 山区平原过渡区土质地表基质空间异质性特征分析——以河北省易县 东部地区为例. 中国地质调查, 10(3): 60-66[Wang X, Lu M, Hou H X, Sun X, Wang H H, Qiao Y Y, Liu Y. 2023. Analysis of spatial heterogeneity of soil substrate in mountainous plain transition area: A case study of Eastern Yi County of Hebei Province. Geological Survey of China, 10(3): 60-66 (in Chinese)]
吴信才. 2022. 地理信息系统应用与实践(第 2 版). 北京: 电子工业出版社[Wu X C. 2022. Application and Practice of Geographic Information System. 2nd ed. Beijing: Publishing House of Electronics Industry(in Chinese)]
武昊, 陈军, 田海波, 侯东阳, 张俊, 廖蓉. 2023. 全球地理信息公共产品研发的技术发展方向与主要任务. 时空信息学报, 30(2): 157-166[Wu H, Chen J, Tian H B, Hou D Y, Zhang J, Liao R. 2023. Direction and main task of global geographic information public product research and development. Journal of Spatio-temporal Information, 30(2): 157-166(in Chinese)]
徐长庆, 李雨晴, 李德友, 姚凯中, 赵岚, 逯跃锋. 2023. 基于PostgreSQL 与 PostGIS 的空间数据一体化方案设计与实现. 山 东理工大学学报(自然科学版), 37(3): 1-7[Xu C Q, Li Y Q, Li D Y, Yao K Z, Zhao L, Lu Y F. 2023. Design and implementation of spatial data integration scheme based on PostgreSQL and PostGIS. Journal of Shandong University of Technology (Natural Science Edition), 37(3): 1-7 (in Chinese)]
徐小辉, 刘江涛, 高涵, 丁艳艳. 2021. 基于 SpringBoot+Vue 框架的采气方案系统开发. 计算机仿真, 38(6): 248-250, 382[Xu X H, Liu J T, Gao H, Ding Y Y. 2021. Design and implementation of rapid design system for gas production engineering scheme based on SpringBoot+Vue framework. Computer Simulation, 38(6): 248-250, 382 (in Chinese)]
殷志强, 陈自然, 李霞, 卫晓锋, 邵海. 2023. 地表基质综合调查:内涵 、 分 层、填图 与支 撑目标 . 水 文 地 质工程地 质 , 50(1): 144-151[Yin Z Q, Chen Z R, Li X, Wei X F, Shao H. 2023.Connotation, layering, mapping and supporting objectives of the integrated survey of ground substrates. Hydrogeology & Engineering Geology, 50(1): 144-151 (in Chinese)]
曾侃. 2007. 基于开源数据库 PostgreSQL 的地理空间数据管理方法研究. 硕士学位论文. 杭州: 浙江大学[Zeng K. 2007. Research on methods of geo-spatial data management based on open source database PostgreSQL. Master Dissertation. Hangzhou: Zhejiang University (in Chinese)]
周怡宁, 高艳芳, 常婵, 张必敏. 2024. 基于移动 GIS 的地球化学野外采集系统的设计与实现. 物探与化探, 48(1): 201-209[Zhou Y N, Gao Y F, Chang C, Zhang B M. 2024. Design and implementation of a geochemical field sampling system based on mobile GIS. Geophysical and Geochemical Exploration, 48(1): 201-209 (in Chinese)]
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