Article(id=1314907900879921480, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314907832038810534, articleNumber=null, orderNo=null, doi=10.3969/j.issn.0253-6099.2026.02.005, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1760284800000, receivedDateStr=2025-10-13, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791428073377, onlineDateStr=2026-10-08, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791428073377, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791428073377, creator=13701087609, updateTime=1791428073377, updator=13701087609, issue=Issue{id=1314907832038810534, tenantId=1146029695717560320, journalId=1235980550691926019, year='2026', volume='46', issue='2', pageStart='1', pageEnd='214', issueExtLink='null', onlineDate='null', pubDate='1774972800000', pubDateStr='2026-04-01', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791428056964, creator='13701087609', updateTime=1791430468655, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314917947500486818, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314907832038810534, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314917947500486819, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314907832038810534, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=28, endPage=35, ext={EN=ArticleExt(id=1314907902876410188, articleId=1314907900879921480, tenantId=1146029695717560320, journalId=1235980550691926019, language=EN, title=Research and Application of Dynamic Recognition Model for Blast Fragmentation in Open-Pit Mines, columnId=1236276106018484431, journalTitle=Mining and Metallurgical Engineering, columnName=MINING, runingTitle=null, highlight=null, articleAbstract=

For rapid and automatic recognition of blast fragmentation in the Husab Mine in Namibia of Africa, a dynamic recognition model was proposed for blast fragmentation in open-pit mines. By acquiring stereo images through a binocular camera and constructing a depth map, in combination with an improved YOLOv8 instance segmentation model, the classification of gravel and fragmentation analysis were realized. Moreover, transfer learning, ROI extraction, and shadow data augmentation technologies were all adopted to optimize the model, enhancing its recognition accuracy in complex environments. The model training results show that the optimized model can achieve a precision of 0.375, a recall of 0.600, and an accuracy of 0.300. This model exhibits strong robustness in extremely complex scenes of open-pit mines, and is capable of successfully detecting most effective rock blocks from high-noise and high-interference backgrounds. Field measurement data indicate that the model can operate stably in environments with high dust and dynamic lighting, achieving a recognition accuracy of 85%for effective rocks on site, and the error of the fragmentation distribution curve is controlled within 8%. This model provides reliable technical support for the efficient evaluation and intelligent detection of blasting effects in the Husab Mine.

, authors=Lei HUANG¹, Ming TAO², Yulong LIU¹, Zhao LUO², Yuanquan XU², authorsList=Lei HUANG, Ming TAO, Yulong LIU, Zhao LUO, Yuanquan XU, authorCompany=null, correspAuthors=Zhao LUO, 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=1314907903442641229, articleId=1314907900879921480, tenantId=1146029695717560320, journalId=1235980550691926019, language=CN, title=露天矿爆破块度动态识别模型研究与应用, columnId=1236276106219811026, journalTitle=矿冶工程杂志, columnName=采矿, runingTitle=null, highlight=null, articleAbstract=

为解决非洲纳米比亚湖山矿爆破块度快速自动识别的问题，提出了一种露天矿爆破块度动态识别模型，通过双目相机获取立体图像并构建深度图，结合改进的YOLOv8实例分割模型实现碎石分类与块度分析；并采用迁移学习、ROI提取和阴影数据增强技术优化模型，提升模型在复杂环境下的识别精度。模型训练结果表明，优化后的模型精确率达0.375，召回率0.600，准确度0.300，该模型在露天矿极端复杂场景下具有强大鲁棒性，能从高噪、高干扰的背景中成功检出大部分有效岩块。现场实测数据表明，该模型能在高粉尘与动态光照环境下稳定运行，对现场有效岩石的识别准确率达85%，块度分布曲线误差控制在8%以内。该模型为湖山矿爆破效果的高效评估与智能检测提供了可靠的技术支撑。

, authors=黄磊¹, 陶明², 刘玉龙¹, 罗朝², 徐源泉², authorsList=黄磊, 陶明, 刘玉龙, 罗朝, 徐源泉, authorCompany=null, correspAuthors=罗朝, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=hdIfpjUuM3V/KNwyFS73GQ==, magXml=8lVNCn1IdlkmZg+znfLNBg==, pdfUrl=null, pdf=SZx2fEo7poPXUR5uor1ysA==, pdfFileSize=2634957, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=K8BD2BLw7XqSTkzBwAaBAA==, mapNumber=null, fund=null)}, authors=[Author(id=1314907904981950805, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1314907900879921480, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=hl0811432923@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314907905095197015, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1314907900879921480, authorId=1314907904981950805, language=EN, stringName=Lei HUANG, firstName=Lei, middleName=null, lastName=HUANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.CGNPC Uranium Resources Co., Ltd., Beijing 100048, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314907905476878680, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1314907900879921480, authorId=1314907904981950805, language=CN, stringName=黄磊, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1．中广核铀业发展有限公司，北京 100048, bio={"content":"

黄磊（1987-），男，四川内江人，硕士，高级工程师，主要从事露天采矿、工程爆破技术经济等工作。E-mail: hl0811432923@163.com

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黄磊（1987-），男，四川内江人，硕士，高级工程师，主要从事露天采矿、工程爆破技术经济等工作。E-mail: hl0811432923@163.com

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