Article(id=1321897402445972086, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321897310649434924, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1777392000000, receivedDateStr=2026-04-29, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793094500409, onlineDateStr=2026-10-27, pubDate=1790265600000, pubDateStr=2026-09-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793094500409, onlineIssueDateStr=2026-10-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793094500409, creator=13701087609, updateTime=1793094500409, updator=13701087609, issue=Issue{id=1321897310649434924, tenantId=1146029695717560320, journalId=1225396423026438145, year='2026', volume='46', issue='9', pageStart='1', pageEnd='346', issueExtLink='null', onlineDate='null', pubDate='1790265600000', pubDateStr='2026-09-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1793094478523, creator='13701087609', updateTime=1793094618231, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321897896698561428, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321897310649434924, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321897896698561429, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321897310649434924, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=328, endPage=337, ext={EN=ArticleExt(id=1321897402638910071, articleId=1321897402445972086, tenantId=1146029695717560320, journalId=1225396423026438145, language=EN, title=Study on Dynamic Adjustment Logic of Mining Cut-Off Grade Driven by Rising Metal Prices, columnId=null, journalTitle=Mining Research and Development, columnName=null, runingTitle=null, highlight=null, articleAbstract=

Against the background of intensified price fluctuations and an overall oscillating upward trend in the metal market, traditional decision-making based on a fixed cut-off grade is difficult to adapt to market changes, which is detrimental to the long-term development of mining enterprises. Based on this, the internal logic and economic mechanism between metal price fluctuation and dynamic adjustment of mining cut-off grade were studied. Using the imperialist competitive algorithm (ICA), combined with models such as break-even analysis, multi-metal grade conversion, and stochastic price prediction, a logical framework for the dynamic adjustment of cut-off grade integrating data perception, model decision-making, intelligent execution, and feedback optimization was constructed. Taking a copper polymetallic mine as an example, four scenarios, namely static average price, progressive price increase, stochastic price path, and two-way price-cost linkage, were set up for empirical analysis. The results show that the cut-off grade is significantly negatively correlated with the price level, and dynamic adjustment can effectively prolong the mine production life and increase the net present value; the optimal strategy under stochastic prices is more conservative than that in deterministic scenarios, which can effectively mitigate the downside risk of metal prices; the cost elasticity coefficient has a significant regulating effect on the cut-off grade, and an increase in the cost elasticity coefficient reduces profit volatility while simultaneously weakening profit elasticity during periods of price increases. In the future, mining enterprises should focus on the deep integration of geological, market price and production data, and utilize intelligent technologies to achieve a fundamental transformation from "static design" to "dynamic response", thereby enhancing overall risk resistance capacity and resource utilization efficiency.

, authors=Yan'e Deng^{1, 2, 3}, Xiaoyan Yang^{1, 2}, authorsList=Yan'e Deng, Xiaoyan Yang, authorCompany=null, correspAuthors=Xiaoyan Yang, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1321897402861208184, articleId=1321897402445972086, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=金属价格上涨驱动下采矿边界品位动态调整逻辑探究, columnId=1321866349543014439, journalTitle=矿业研究与开发, columnName=矿业前沿交叉与综合, runingTitle=null, highlight=null, articleAbstract=

在金属市场价格波动加剧，整体呈现震荡向上的背景下，传统的固定边界品位决策难以适应市场变化，不利于矿山企业的长期发展。基于此，研究了金属价格波动与采矿边界品位动态调整间的内在逻辑与经济机理。利用帝国竞争算法（ICA），结合盈亏平衡分析、多金属品位折算、随机价格预测等模型，构建了集成数据感知、模型决策、智能执行与反馈优化的边界品位动态调整逻辑框架。以某铜多金属矿为例，设置静态均价、价格渐进上涨、随机价格路径及价格-成本双向联动四种情景进行实证分析，结果表明：边界品位与价格水平呈显著负相关，动态调整可有效延长矿山生产年限并提升净现值；随机价格下的最优策略较确定性情景更为保守，可有效规避金属价格下行风险；成本弹性系数对边界品位具有显著调节效应，成本弹性系数增大时，降低利润波动性的同时也削弱了价格上涨时期的利润弹性。未来，矿山企业需聚焦于深度融合地质、市场价格与生产数据，借助智能化技术实现从“静态设计”到“动态响应”的根本转变，以提升整体抗风险能力与资源利用效率。

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^2.National Engineering Research Center for Metal Mining, Changsha, Hunan 410012, China
^3.Hunan Provincial Technology Center for Mine Geological Disaster Prevention and Control and Environmental Reconstruction, Changsha, Hunan 410012, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1321897403481965192, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1321897402445972086, authorId=1321897403322581635, language=CN, stringName=邓艳娥, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2, 3}, address=^1．长沙矿山研究院有限责任公司，湖南 长沙　410012
^2．国家金属采矿工程技术研究中心，湖南 长沙　410012
^3．湖南省矿山地质灾害防治与环境再造技术中心，湖南 长沙　410012, bio={"content":"

邓艳娥（1985—），女，湖北荆州人，高级工程师，主要从事金属矿床开采设计及咨询、工程经济研究等方面的工作。E-mail:279021241@qq.com

"}, bioImg=null, bioContent=

邓艳娥（1985—），女，湖北荆州人，高级工程师，主要从事金属矿床开采设计及咨询、工程经济研究等方面的工作。E-mail:279021241@qq.com

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