Construction of a New Intelligent Ore Deposit Exploration Guidance Information System

被引:0
|
作者
Zhang J. [1 ,2 ]
Chen H. [1 ,2 ,3 ]
机构
[1] CAS Key Laboratory of Mineralogy and Metallogeny, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangdong, Guangzhou
[2] College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing
[3] Guangdong Provincial Key Laboratory of Mineral Physics and Materials, Guangdong, Guangzhou
关键词
artificial intelligence; exploration indicators; information system; mineral exploration;
D O I
10.16539/j.ddgzyckx.2023.01.301
中图分类号
学科分类号
摘要
To fully tap the value of mineral exploration big data and improve the efficiency of mineral exploration, this paper starts from analyzing the big data and summarizing the process of mineral exploration, and proposes the research direction for a new intelligent mineral exploration guidance system that uses artificial intelligence technology to drive the ternary intelligence cycle of “exploration activities-exploration big data-exploration indicator system”. The system is designed with a five-layer system architecture and a technical route of “artificial intelligence + micro-service + cloud deployment”, and includes eight major functional modules covering data collection and indicator system construction, prospect prediction, and exploration plan generation. This paper also looks forward to the system’s diverse application forms and application processes. The proposed new intelligent mineral exploration guidance system is a future information system for mineral exploration, and the research and construction of such system has practical significance for promoting the intelligentization of mineral exploration. © 2023 Science Press. All rights reserved.
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页码:1323 / 1329
页数:6
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