Article(id=1304141582836462139, tenantId=1146029695717560320, journalId=1303687303576780880, issueId=1304141567850213817, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1009-3842.2026.03.003, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1757260800000, receivedDateStr=2025-09-08, revisedDate=1766505600000, revisedDateStr=2025-12-24, acceptedDate=null, acceptedDateStr=null, onlineDate=1788861183127, onlineDateStr=2026-09-08, pubDate=1782576000000, pubDateStr=2026-06-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1788861183127, onlineIssueDateStr=2026-09-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1788861183127, creator=13701087609, updateTime=1788861183127, updator=13701087609, issue=Issue{id=1304141567850213817, tenantId=1146029695717560320, journalId=1303687303576780880, year='2026', volume='', issue='3', pageStart='1', pageEnd='134', issueExtLink='null', onlineDate='null', pubDate='1782576000000', pubDateStr='2026-06-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1788861179554, creator='13701087609', updateTime=1788924930580, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1304408959088092087, tenantId=1146029695717560320, journalId=1303687303576780880, issueId=1304141567850213817, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1304408959088092088, tenantId=1146029695717560320, journalId=1303687303576780880, issueId=1304141567850213817, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=24, endPage=32, ext={EN=ArticleExt(id=1304141583121674812, articleId=1304141582836462139, tenantId=1146029695717560320, journalId=1303687303576780880, language=EN, title=Decision Optimization System for Continuous Copper Smelting Process in Top Blown Furnace, columnId=1304141580051436503, journalTitle=Copper Engineering, columnName=Extraction Metallurgy and Chemical Engineering, runingTitle=null, highlight=null, articleAbstract=

As the core equipment of the domestically developed hot-state triple-furnace continuous copper smelting system, the multi-lance top-blown furnace still requires further improvement in process monitoring and intelligent decision-making capabilities. Current challenges include delayed parameter adjustments, pronounced fluctuations in furnace conditions, and suboptimal continuity in production. This research developed a decision optimization system for top-blown furnace operations by integrating metallurgical modeling, industrial data acquisition, and software development. Based on the metallurgical reaction mechanism, the input-output mathematical model of the top-blown furnace was established to enable quantitative determination of core operating parameters such as flux dosage and oxygen volume. A calculation model for key process parameters was created to overcome limitations in real-time process state perception during continuous smelting. Through systematic integration, modules for data acquisition and model computation were encapsulated into a comprehensive decision optimization system. The system provided accurate calculation and decision support for core control parameters. It significantly reduced the uncertainty associated with manual operations but also provided effective technical support for dynamic multi-process coordination and control within the hot-state triple-furnace continuous copper smelting process.

, authors=Jingrui Cui¹, Yibo Chen², Ye Liu¹, authorsList=Jingrui Cui, Yibo Chen, Ye Liu, authorCompany=null, correspAuthors=Ye Liu, 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=1304141583562076733, articleId=1304141582836462139, tenantId=1146029695717560320, journalId=1303687303576780880, language=CN, title=顶吹炉连续炼铜工艺决策优化系统研究, columnId=1304141580248568793, journalTitle=铜业工程, columnName=提取冶金与化学工程, runingTitle=null, highlight=null, articleAbstract=

多枪顶吹吹炼炉是国产新兴“热态三连炉”炼铜工艺中的核心装备之一，由于炉况波动性大，常出现参数调整滞后、生产连续性不佳等问题，其过程感知能力及智能决策水平有待提升。本研究基于冶金机理建模、工业数据采集以及软件开发等技术，构建了一套顶吹炉工艺决策优化系统。基于冶金反应机理建立了顶吹炉投入产出数学模型，实现了对熔剂量、风氧量等核心操作参数的定量计算；构建了关键过程参数推算模型，有效突破了连续冶炼工艺中的状态感知限制；通过系统集成将数据采集、模型计算等模块封装，搭建了完整的决策优化系统，实现了核心控制参数的精准计算与决策支持。该系统的应用不仅显著降低了人工操作的不确定性，也为热态三连炉连续炼铜工艺多工序间的动态协同调控提供了有效技术支撑。

, authors=崔景瑞¹, 陈一波², 刘晔¹, authorsList=崔景瑞, 陈一波, 刘晔, authorCompany=null, correspAuthors=刘晔, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=w9Rlvv0NjCT3oaeZ8Rw+Aw==, magXml=+4ZmpajaskMyWlmJuRHB5A==, pdfUrl=null, pdf=+pHdQduuk8VkJO4MOguE9w==, pdfFileSize=3234760, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=Ej2NlZDgWqcly4IKW7jwGw==, mapNumber=null, fund=null)}, authors=[Author(id=1304141583960535621, tenantId=1146029695717560320, journalId=1303687303576780880, articleId=1304141582836462139, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=cuijingrui@jxcc.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1304141584048616007, tenantId=1146029695717560320, journalId=1303687303576780880, articleId=1304141582836462139, authorId=1304141583960535621, language=EN, stringName=Jingrui Cui, firstName=Jingrui, middleName=null, lastName=Cui, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.Jiangxi Tongrui Information Technology Co.，Ltd.，Nanchang 330096，China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1304141584132502088, tenantId=1146029695717560320, journalId=1303687303576780880, articleId=1304141582836462139, authorId=1304141583960535621, language=CN, stringName=崔景瑞, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.江西铜锐信息技术有限公司，江西 南昌 330096, bio={"content":"

崔景瑞（1996—），女，河南郑州人，硕士，电子信息工程师，研究方向：检测信息与技术，E-mail：cuijingrui@jxcc.com

"}, bioImg=null, bioContent=

崔景瑞（1996—），女，河南郑州人，硕士，电子信息工程师，研究方向：检测信息与技术，E-mail：cuijingrui@jxcc.com

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