大数据收集和处理技术——提高矿床和技术成因地层开发中岩体原始信息可靠性的基础

IF 0.1 Q4 GEOSCIENCES, MULTIDISCIPLINARY
M. Rylnikova, M. Tsupkina, Alexey Kirkov
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引用次数: 0

摘要

本文介绍了固体矿物沉积物大数据处理的现代技术。讨论了管理矿床开发过程中各种来源的原始资料的方法。本文指出了该技术相对于当前使用的原始数据处理方法的优势。开发了大数据分析系统的结构。这种构造为开发天然矿床和技术成因地层提供了更可靠的地质信息。描述了主数据和辅助数据之间的关系。对原始数据的适当处理将增加确定矿物的定性和定量特征的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TECHNOLOGIES OF BIG DATA COLLECTION AND PROCESSING - THE BASIS FOR INCREASING THE RELIABILITY OF PRIMARY INFORMATION ABOUT ROCK MASSIFS IN THE DEVELOPMENT OF MINERAL DEPOSITS AND TECHNOGENIC FORMATIONS
The article describes modern technologies of big data yrocessing in the deyosits of solid minerals. The approaches to the management of primary information from various sources in the development of deposits are considered. The article identifies the advantages of this technology over the currently used methods of primary data processing. The structure of big data analytical systems is developed. This structure provides increased reliability of geological information in the development of natural deposits and technogenic formations. Relationships between primary data and secondary data are described. Proper processing of primary data will increase the reliability of determining the qualitative and quantitative characteristics of minerals.
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