Article(id=1282030040191840918, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282030021623657005, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.08.1471, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1741881600000, receivedDateStr=2025-03-14, revisedDate=1747497600000, revisedDateStr=2025-05-18, acceptedDate=null, acceptedDateStr=null, onlineDate=1783589380548, onlineDateStr=2026-07-09, pubDate=1756310400000, pubDateStr=2025-08-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783589380548, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783589380548, creator=13701087609, updateTime=1783589380548, updator=13701087609, issue=Issue{id=1282030021623657005, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='8', pageStart='1', pageEnd='276', issueExtLink='null', onlineDate='null', pubDate='1756310400000', pubDateStr='2025-08-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783589376121, creator='13701087609', updateTime=1783589731222, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282031511155228698, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282030021623657005, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282031511155228699, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282030021623657005, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=33, endPage=39, ext={EN=ArticleExt(id=1282030040397361815, articleId=1282030040191840918, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Digital twin system for early warning of regional intrusion behavior of personnel in deep foundation pit projects, columnId=1149733271128420907, journalTitle=China Safety Science Journal, columnName=Safety social science and safety management, runingTitle=null, highlight=null, articleAbstract=
To address the dynamic risks in hazardous areas and the lack of timely warning of personnel intrusion within deep foundation pit, a digital twin system integrating BIM and UWB technology was developed. Initially, a virtual scene representing the deep foundation pit was constructed using the OurBIM 3D graphics engine. Second, a method for calibrating hazardous areas was proposed, and UWB technology was utilized to locate construction personnel and hazardous sources in real-time. Third, a real-time warning mechanism for personnel intrusion behavior was established, and a digital twin system was designed for regional intrusion warning of personnel in deep foundation pit, incorporating functionalities such as scene visualization, hazardous area definition, and warning data logging. Finally, the system was applied to a specific deep foundation pit in Wuhan. The results demonstrate that the system is capable of monitoring personnel intrusion behavior in two distinct types of hazardous areas within the deep foundation pit, achieving a comprehensive warning success rate of 97.4%. This system validates the feasibility and effectiveness of digital twin technology in the construction safety domain.
, authors=Peisong GONG, Xinyun SHEN, Bowen HAN, Shengyu GUO
**, Guanqing PENG, Junhao ZHONG, authorsList=Peisong GONG, Xinyun SHEN, Bowen HAN, Shengyu GUO, Guanqing PENG, Junhao ZHONG, authorCompany=null, correspAuthors=Shengyu GUO, 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=1282030040896483994, articleId=1282030040191840918, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=深基坑工程人员区域入侵行为预警数字孪生系统, columnId=1149733271296193071, journalTitle=中国安全科学学报, columnName=安全社会科学与安全管理, runingTitle=null, highlight=null, articleAbstract=
为解决当前深基坑工程危险区域动态风险高、人员入侵行为预警不及时等问题,开发集成建筑信息模型(BIM)和超宽带(UWB)的数字孪生系统。首先,通过OurBIM三维图形引擎构建深基坑工程虚拟场景;其次,提出危险区域标定方法,利用UWB实时定位施工人员与危险源;然后,建立人员入侵行为实时预警机制,设计深基坑工程人员区域入侵行为预警数字孪生系统,包括场景可视化、危险区域设置、预警数据记录等功能;最后,将系统应用于武汉市某深基坑工程项目。结果表明:该系统能够监控深基坑工程2类危险区域的人员入侵行为,综合预警成功率达97.4%。该系统验证了数字孪生技术在施工安全领域的可行性和有效性。
, authors=宫培松
副教授, 沈欣云, 韩博雯, 郭聖煜
副教授**, 彭冠卿, 钟骏豪, authorsList=宫培松
副教授, 沈欣云, 韩博雯, 郭聖煜
副教授, 彭冠卿, 钟骏豪, authorCompany=null, correspAuthors=郭聖煜
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宫培松(1975—),男,湖北武汉人,博士,副教授,主要从事工程管理信息化、施工安全管理等方面的研究。E-mail: gongps@cug.edu.cn。
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宫培松(1975—),男,湖北武汉人,博士,副教授,主要从事工程管理信息化、施工安全管理等方面的研究。E-mail: gongps@cug.edu.cn。
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