利用开源软件实现地质勘查现场阶段制图监测web服务

Q4 Earth and Planetary Sciences Geodeziya i Kartografiya Pub Date : 2023-02-20 DOI:10.22389/0016-7126-2023-991-1-29-41
D. Loginov
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引用次数: 0

摘要

作者介绍了一个web服务开发的结果,该开发旨在实现一个野外地球物理调查制图监测的概念模型。探讨了利用开源软件DBMS、PostgreSQL和JavaScript库对地质勘查现场阶段进度进行集中数据采集、系统化、更新和制图可视化的问题。该网络服务在俄罗斯联邦和印度共和国的许可区域进行了地震采集测试。它被用作实地工作人员生产力的空间分析的主要工具,并考虑到妨碍及时执行规划的地形、大地测量和地震调查的自然和人为对象,以及专家和行政决策之间的沟通手段。批准的结果表明,提高了地质勘查工作现场相图支持的效率。文章中介绍的使用开源软件的经验,形成服务器空间和在数据库中存储信息的系统方法,使通过不同的地球物理勘探方法在几个地区同时开展勘探工作的网络制图成为可能。
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Implementing a web service for cartographic monitoring of the geological exploration field stage using open-source software
The author presents the results of a web service development aimed at implementing a conceptual model of field geophysical surveys mapping monitoring. The issues of adapting the open source software DBMS PostgreSQL and JavaScript library Leaflet for centralized data gathering, systematization, updating and cartographic visualization of the geological exploration’s field phase progress are considered. The web service was tested during the seismic acquisition at the license areas in the Russian Federation and the Republic of India. It was used as the main tool for spatial analysis of the field crews’ productivity and considering natural and anthropogenic objects that prevent the timely execution of planned volumes of topographic and geodetic and seismic surveys, as well as a means of communication between specialists and administrative decision making. The results of the approbation showed an increase in the efficiency of geological exploration works’ field phase cartographic support. The experience of using open source software, a systematic approach to forming the server space and storing information in the database presented in the article enables developing web-mapping of exploration work carried out simultaneously in several territories through different methods of geophysical exploration.
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来源期刊
Geodeziya i Kartografiya
Geodeziya i Kartografiya Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
0.60
自引率
0.00%
发文量
73
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