Article(id=1304399881649545984, tenantId=1146029695717560320, journalId=1303687303576780880, issueId=1304377446971757108, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1009-3842.2026.02.010, 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=1766419200000, revisedDateStr=2025-12-23, acceptedDate=null, acceptedDateStr=null, onlineDate=1788922766362, onlineDateStr=2026-09-09, pubDate=1777305600000, pubDateStr=2026-04-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1788922766362, onlineIssueDateStr=2026-09-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1788922766362, creator=13701087609, updateTime=1788922766362, updator=13701087609, issue=Issue{id=1304377446971757108, tenantId=1146029695717560320, journalId=1303687303576780880, year='2026', volume='', issue='2', pageStart='1', pageEnd='140', issueExtLink='null', onlineDate='null', pubDate='1777305600000', pubDateStr='2026-04-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1788917417519, creator='13701087609', updateTime=1788924949893, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1304409040088490937, tenantId=1146029695717560320, journalId=1303687303576780880, issueId=1304377446971757108, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1304409040088490938, tenantId=1146029695717560320, journalId=1303687303576780880, issueId=1304377446971757108, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=99, endPage=107, ext={EN=ArticleExt(id=1304399881842483969, articleId=1304399881649545984, tenantId=1146029695717560320, journalId=1303687303576780880, language=EN, title=Application of 3D Digital Twin Visualization Technology and Model Lightweighting in Smelting Process, columnId=1304141580051436503, journalTitle=Copper Engineering, columnName=Extraction Metallurgy and Chemical Engineering, runingTitle=null, highlight=null, articleAbstract=
Considering high complexity and high safety requirements in the smelting section of metallurgical industry, a lightweight 3D digital twin system architecture based on Unreal Engine 5 (UE5) engine and pixel stream push technology was proposed. Cross-platform low-delay visual monitoring of the whole process of smelting section was realized through key technologies such as multi-level model lightweight processing, multi-terminal deployment of distributed pixel stream and real-time data-driven model construction. The system integrated functions of production control, data cockpit, automatic inspection and equipment disassembly, reducing hardware costs by more than 40% and increasing production efficiency by more than 20%. It provided a general technical path for metallurgical industry intelligence.
, authors=Dechen YANG, Jingrui CUI, Chunyi GUO, Ke YING, Ye LIU, authorsList=Dechen YANG, Jingrui CUI, Chunyi GUO, Ke YING, 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=1304399882178028290, articleId=1304399881649545984, tenantId=1146029695717560320, journalId=1303687303576780880, language=CN, title=冶炼工序三维数字孪生可视化技术研究与轻量化改进, columnId=1304141580248568793, journalTitle=铜业工程, columnName=提取冶金与化学工程, runingTitle=null, highlight=null, articleAbstract=
针对冶金工业冶炼工序高复杂度、高安全要求的生产场景，提出基于Unreal Engine 5（UE5）引擎与像素流推送技术的轻量化三维数字孪生系统架构。通过多级模型轻量化处理、分布式像素流多端部署、实时数据驱动模型构建等关键技术，实现跨平台、低延迟的冶炼工序全流程可视化监控。通过系统集成生产管控、数据驾驶舱、自动巡检及设备拆解功能，实现硬件成本降低40%以上，提升生产效率20%以上，为冶金工业智能化提供可复用的技术路径。
, authors=杨德宸, 崔景瑞, 郭春宜, 应科, 刘晔, authorsList=杨德宸, 崔景瑞, 郭春宜, 应科, 刘晔, authorCompany=null, correspAuthors=刘晔, authorNote=
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杨德宸（1996—），男，河北石家庄人，硕士，工程师，研究方向：数字孪生智能化，E-mail：yang.dc@foxmail.com
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杨德宸（1996—），男，河北石家庄人，硕士，工程师，研究方向：数字孪生智能化，E-mail：yang.dc@foxmail.com
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