摘要
Abstract
The Husab Uranium Mine has complex ore body and issues of ore body displacement during production blasting,which leads to severe ore-waste mixing.Additionally,there is a lack of measure-ment methods for the truck after loading.To detect the grades after loading and distinguish the ore from the waste,further to control and measure the ore dilution and ore loss,Husab Mine designed and developed the radiomatric truck scanner.By determining the exact time points of entry and exit through infrared beam detection,and identifing the truck identities using radio frequency identification technology,the dynamic scanning is achieved.By using three sets of gamma spectrometers,the error caused by irregular ore loading and deviations in truck driving paths,is minimized.By integrating the on-site data collection system,the server-based data management system,and the client data manage-ment system,the management of multiple truck scanner become available.By connecting the truck scanner to the dispatch system,the scanner data can be used to guide trucks on where to unload at the stockpile.To assess the impact of the truck scanner on uranium mine production,both the shovel boundary model data and truck scanner data were compared against the grade control model data,which serve as a benchmark,to calculate the dilution rate and ore loss rate under each scenario,the dilution rate and ore loss rate dropped from 8.14％and 12.62％to—3.36％and 4.85％.The sum-mary and Analysis of two months' production data revealed that,the scanner can effectively distin-guish the ore with different grades and seperate the ore and waste.It's found out that the ore trans-ported reduced 8.4％,the recovered metal increased 4.7％,and the average grade on the stockpile in-creased 19.8％.These findings demonstrate the significant and positive impact of the truck scanner on production at Husab Uranium Mine.关键词
铀矿/卡车扫描站/损失率/贫化率/矿块组合模型/品位控制模型/动态扫描Key words
uranium mine/truck scanner/ore loss rate/dilution rate/composite model/grade control model/dynamicscanning分类
矿业与冶金
