鞍前矿业公司低品位矿石的优化利用

Lihua Luan, Guo Lianjun, Chi Yang, Zhang Daning, Pan Pengfei, Sun Houguang, Xu Donglin
{"title":"鞍前矿业公司低品位矿石的优化利用","authors":"Lihua Luan, Guo Lianjun, Chi Yang, Zhang Daning, Pan Pengfei, Sun Houguang, Xu Donglin","doi":"10.15273/GREE.2017.02.009","DOIUrl":null,"url":null,"abstract":"Based on the introduction of production technology of Anqian mining company, the stope ore mass distribution was analyzed in detail. The processability indexes of different grade ores were obtained with magnetic tube whereas the grinding time, concentrate grade and concentrate yield were measured. On the basis of digital ore deposit model which integrates ore natural attributes and processing attributes, two stages of ore blending optimization models were established. The first stage model sought the minimum of stope ore transportation cost under the restraints of output ore grade and stope production. The second stage was a system optional model that aimed at the furthest use of resources meeting not only the production constraints of mining field and process field but also ore beneficiability and the system output requirements of the concentrate grade. Lastly, the solving method of big M simplex algorithm was discussed and used in production.","PeriodicalId":21067,"journal":{"name":"Resources Environment & Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal Utilization of Low Grade Ores in Anqian Mining Company\",\"authors\":\"Lihua Luan, Guo Lianjun, Chi Yang, Zhang Daning, Pan Pengfei, Sun Houguang, Xu Donglin\",\"doi\":\"10.15273/GREE.2017.02.009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the introduction of production technology of Anqian mining company, the stope ore mass distribution was analyzed in detail. The processability indexes of different grade ores were obtained with magnetic tube whereas the grinding time, concentrate grade and concentrate yield were measured. On the basis of digital ore deposit model which integrates ore natural attributes and processing attributes, two stages of ore blending optimization models were established. The first stage model sought the minimum of stope ore transportation cost under the restraints of output ore grade and stope production. The second stage was a system optional model that aimed at the furthest use of resources meeting not only the production constraints of mining field and process field but also ore beneficiability and the system output requirements of the concentrate grade. Lastly, the solving method of big M simplex algorithm was discussed and used in production.\",\"PeriodicalId\":21067,\"journal\":{\"name\":\"Resources Environment & Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Resources Environment & Engineering\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://doi.org/10.15273/GREE.2017.02.009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Resources Environment & Engineering","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.15273/GREE.2017.02.009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在介绍安迁矿业公司生产工艺的基础上,对采场矿石质量分布进行了详细分析。采用磁管法测定了不同品位矿石的可加工性指标,并测定了磨矿时间、精矿品位和精矿收率。在整合矿石自然属性和加工属性的数字矿床模型的基础上,建立了两阶段配矿优化模型。第一阶段模型寻求在产出矿石品位和采场产量约束下采场矿石运输成本的最小值。第二阶段是系统可选模型,以资源最大限度地利用为目标,既满足矿场和工艺场的生产约束,又满足矿石可选性和精矿品位的系统产量要求。最后讨论了大M单纯形算法的求解方法,并将其应用于生产中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Utilization of Low Grade Ores in Anqian Mining Company
Based on the introduction of production technology of Anqian mining company, the stope ore mass distribution was analyzed in detail. The processability indexes of different grade ores were obtained with magnetic tube whereas the grinding time, concentrate grade and concentrate yield were measured. On the basis of digital ore deposit model which integrates ore natural attributes and processing attributes, two stages of ore blending optimization models were established. The first stage model sought the minimum of stope ore transportation cost under the restraints of output ore grade and stope production. The second stage was a system optional model that aimed at the furthest use of resources meeting not only the production constraints of mining field and process field but also ore beneficiability and the system output requirements of the concentrate grade. Lastly, the solving method of big M simplex algorithm was discussed and used in production.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信