Article(id=1322559912098513495, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559901990240737, 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=1759939200000, receivedDateStr=2025-10-09, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793252455019, onlineDateStr=2026-10-29, pubDate=1774368000000, pubDateStr=2026-03-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793252455019, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793252455019, creator=13701087609, updateTime=1793252455019, updator=13701087609, issue=Issue{id=1322559901990240737, tenantId=1146029695717560320, journalId=1225396423026438145, year='2026', volume='46', issue='3', pageStart='1', pageEnd='330', issueExtLink='null', onlineDate='null', pubDate='1774368000000', pubDateStr='2026-03-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793252452609, creator='13701087609', updateTime=1793252731500, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322561071810991099, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559901990240737, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322561071810991100, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559901990240737, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=120, endPage=132, ext={EN=ArticleExt(id=1322559912270479960, articleId=1322559912098513495, tenantId=1146029695717560320, journalId=1225396423026438145, language=EN, title=Research Progress and Platform Development of Safety Monitoring and Early Warning Technology for Open-Pit Mine Slopes, columnId=null, journalTitle=Mining Research and Development, columnName=null, runingTitle=null, highlight=null, articleAbstract=

Frequent geological disasters occur on open-pit mine slopes, and traditional monitoring methods have limitations in real-time performance, coverage density and intelligent early warning. Based on the research achievements in the field of slope safety monitoring and early warning, the existing deficiencies and key problems to be solved urgently at present were summarized. Internet of Things, cloud computing, big data and artificial intelligence technologies were integrated, the space-air-ground-subsurface multi-dimensional and multi-source collaborative sensing network was constructed, the intelligent monitoring and early warning platform for open-pit mine slopes was developed, and intelligent diagnosis and trend prediction of slope stability were carried out. Through a graded early warning mechanism and a visual decision-making system, accurate risk identification and emergency linkage were realized. Practical results show that the intelligent monitoring and early warning platform for open-pit mine slopes significantly improves the proactive perception and advanced early warning capabilities of slope risks, and provides technical support for the intrinsic safety and intelligent mine construction of open-pit mines.

, authors=Lei BU¹, Xiaoyu ZHANG¹, Yunfeng PI¹, Changhong LI², Gan ZHENG¹, Zexu YIN¹, Jiale LYU², authorsList=Lei BU, Xiaoyu ZHANG, Yunfeng PI, Changhong LI, Gan ZHENG, Zexu YIN, Jiale LYU, authorCompany=null, correspAuthors=null, 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=1322559912522138201, articleId=1322559912098513495, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=露天矿边坡安全监测预警技术研究进展及平台研发, columnId=1226462295417598973, journalTitle=矿业研究与开发, columnName=矿山安全与环保, runingTitle=null, highlight=null, articleAbstract=

露天矿边坡地质灾害频发，传统监测手段在实时性、覆盖密度及智能预警方面存在局限。基于边坡安全监测预警领域的研究成果，总结了现阶段存在的不足与亟待解决的关键问题，集成物联网、云计算、大数据与人工智能技术，构建“空－天－地－深”多维多源协同感知网络，研发露天矿边坡智能监测预警平台，并进行边坡稳定性智能诊断与趋势预测。通过分级预警机制与可视化决策系统，实现风险精准识别与应急联动。实践结果表明，露天矿边坡智能监测预警平台显著提升了边坡风险的主动感知与超前预警能力，为露天矿本质安全与智能矿山建设提供了技术支撑。

, authors=卜磊¹, 章晓余¹, 皮芸烽¹, 李长洪², 郑干¹, 尹泽旭¹, 吕嘉乐², authorsList=卜磊, 章晓余, 皮芸烽, 李长洪, 郑干, 尹泽旭, 吕嘉乐, authorCompany=null, correspAuthors=null, authorNote=, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=UPdk5Uo5BfCRTMRCa/qPCw==, magXml=uoi0omhAdD7TvVKJtUS7TA==, pdfUrl=null, pdf=NGh8ujmsbu5fUQqiS4giKg==, pdfFileSize=3773341, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=ow1as8M/qo7r66u2LMD9bA==, mapNumber=null, fund=null)}, authors=[Author(id=1322559914409575009, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1322559912098513495, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=playbkdok@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1322559914493461091, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1322559912098513495, authorId=1322559914409575009, language=EN, stringName=Lei BU, firstName=Lei, middleName=null, lastName=BU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.China Coal Technology & Engineering Group Nanjing Design & Research Institute Co., Ltd., Nanjing, Jiangsu 210031, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1322559914556375652, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1322559912098513495, authorId=1322559914409575009, language=CN, stringName=卜磊, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1．中煤科工集团南京设计研究院有限公司，江苏 南京　210031, bio={"content":"

卜磊（1989—），男，安徽马鞍山人，博士研究生，工程师，主要从事露天矿边坡安全监测预警方面的研究工作。E-mail: playbkdok@163.com

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卜磊（1989—），男，安徽马鞍山人，博士研究生，工程师，主要从事露天矿边坡安全监测预警方面的研究工作。E-mail: playbkdok@163.com

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