人工智能在矿山地质中的应用现状及未来展望

The application status and future prospects of artificial intelligence in mining geology

随着科技的不断发展,人工智能技术让地质这一古老行业以全新的姿态展现在世人面前。本文从矿山地质各个应用场景出发,系统地归纳了人工智能在矿山地质中的应用现状,并对未来的发展趋势进行了展望。首先介绍了人工智能在地质数据的处理、岩石及矿物的识别、地质灾害预警等方面的应用现状,然后重点讨论了人工智能在生产勘探中的应用现状,包括找矿靶区的选取、生产勘探设计、勘探成果评估等方面。针对当前存在的问题和挑战,提出了建立完善的人才培训机制、加强算法创新、建立高质量的地质大数据库、发展多模态地质数据融合、提高地质模型的多解性等建议。最后,展望了未来人工智能在地质行业中的发展趋势,包括进一步推进智能化勘查、加强地质数据安全保护、增强协同作业能力等方面。

With the continuous development of technology,artificial intelligence technology will present the ancient industry of geology with a new posture in front of the world.This article systematically summarizes the current application status of artificial intelligence in mining geology from various application scenarios,and looks forward to the future development trends.Firstly,the current application status of artificial intelligence in geological data processing,rock and mineral identification,and geological disaster warning was introduced.Then,the focus was on discussing the current application status of artificial intelligence in production exploration,including the selection of mining target areas,production exploration design,and evaluation of exploration results.Then,in response to the current problems and challenges,suggestions were proposed to establish a comprehensive talent training mechanism,strengthen algorithm innovation,establish a high-quality geological big database,develop multimodal geological data fusion,and improve the multi solution nature of geological models.Finally,the future development trends of artificial intelligence in the geological industry were discussed,including further promoting intelligent exploration,strengthening geological data security protection,and enhancing collaborative operation capabilities.