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战略性矿产资源储备调查与评价数据采集系统设计与应用

Design and Applications of Data Acquisition System for Strategic Mineral Resources Reserve Survey and Assessment

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【作者】 胡越然孟祥卉朱莉娟王永志李钟山彭仲秋

【Author】 HU Yue-ran;MENG Xiang-hui;ZHU Li-juan;WANG Yong-zhi;LI Zhong-shan;PENG Zhong-qiu;College of Geo-exploration Science & Technology,Jilin University;No.266 Geological Party,Nuclear Industry Geological Bureau of Jiangxi Province(Nuclear Industry Engineering Geological Exploration Institute of Jiangxi Province);Institute of Integrated Information for Mineral Resources Prediction,Jilin University;Management Center of Central Geological Exploration Fund,Ministry of Natural Resources;Jinwei Graph Text Information Science & Technique Limited Company;

【通讯作者】 王永志;

【机构】 吉林大学地球探测科学与技术学院江西省核工业地质局二六六大队(江西核工业工程地质勘察院)吉林大学综合信息矿产预测研究所自然资源部中央地质勘查基金管理中心金维图文信息科技有限公司

【摘要】 为了系统收集、管理好战略性矿产资源储备数据,本文构建了以储备勘查区、储备矿产地为核心,可管理跨多学科的战略性矿产资源储备调查与评价的数据模型,基于UML的面向对象分析、设计、实现了包括储备勘查区、储备矿产地、省级数据管理、系统设置等四大类功能的数据采集系统.通过在内蒙古等8个省份的示范与应用,完成了约7GB的多源异构矿产地储备数据采集,初步形成了面向全国战略性矿产资源储备数据采集的标准化方法,为后续全国储备数据智能化服务提供支持.

【Abstract】 A data model is designed for strategic mineral resources reserve survey and assessment in order to acquire and manage interdisciplinary strategic mineral resources reserve data.The data model uses the reserve exploration area and reserve mine as central content.This paper analyzes designs and realizes the data acquisition system based on Unified Modeling Language(UML).The system has main four modules including reserve exploration area management,reserve mine management,provincial data management and system settings.By now,eight provinces including Inner Mongolia have completed multi-source heterogeneous mine reserve data acquisition using the software respectively,with the total volume of data acquired reaching about 7 GB.A preliminary standardized system for data collection of strategic mineral resources reserves nationwide has been established,and it will provide much support for intelligent service of national mineral resource reserve data.

【基金】 中国地质调查项目“全国战略性矿产资源储备调查与评价”(DD20160351、DD20190828);国家重点研发计划项目(2016YFC0600501、2016YFC0600501-04)联合资助
  • 【文献出处】 内蒙古工业大学学报(自然科学版) ,Journal of Inner Mongolia University of Technology(Natural Science Edition) , 编辑部邮箱 ,2020年04期
  • 【分类号】F426.1
  • 【被引频次】5
  • 【下载频次】176
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