南华大学学报（自然科学版）2025，Vol.39Issue(3)：25-31,85,8.DOI:10.19431/j.cnki.1673-0062.2025.03.004
CO2+O2地浸采铀抽注液量智能控制系统设计与实验
Design and Experiment of an Intelligent Control System for Injection/Extraction Flow Rates in CO2+O2 In-situ Leaching Uranium Mining
摘要
Abstract
During the process of in-situ leaching uranium mining,maintaining a balance in the volume of extraction and injection fluids and intelligently identifying anomalies in these fluids is crucial for ensuring efficient leaching and safety at the well site.A smart control system for CO2+O2 leaching uranium mining fluid extraction and injection has been con-structed based on deep learning technology.This system primarily consists of an intelligent data acquisition subsystem incorporating Long Short-Term Memory networks,an intelligent lixiviant configuration subsystem based on the Transformer framework,and an intelligent extraction and injection volume control subsystem based on MATLAB algorithms.Verifica-tion using production data from a uranium mine in Inner Mongolia shows that this system can enhance the real-time nature of data collection,stabilize the pH value of the leaching agent,and optimize the extraction-to-injection ratio.关键词
地浸采铀/数字矿山/抽注液量/智能控制Key words
in-situ leaching uranium mining/digital mine/extraction and injection fluid volume/intelligent control分类
信息技术与安全科学引用本文复制引用
张来平,赵家彤,曾晟..CO2+O2地浸采铀抽注液量智能控制系统设计与实验[J].南华大学学报（自然科学版）,2025,39(3):25-31,85,8.基金项目
湖南省省级大学生创新创业训练计划项目(S202310555133) （S202310555133）
