Article(id=1281608082857903067, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608054340829934, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2026.04.0177, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1765641600000, receivedDateStr=2025-12-14, revisedDate=1772035200000, revisedDateStr=2026-02-26, acceptedDate=null, acceptedDateStr=null, onlineDate=1783488778080, onlineDateStr=2026-07-08, pubDate=1777305600000, pubDateStr=2026-04-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783488778080, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783488778080, creator=13701087609, updateTime=1783488778080, updator=13701087609, issue=Issue{id=1281608054340829934, tenantId=1146029695717560320, journalId=1146031787341344770, year='2026', volume='36', issue='4', pageStart='1', pageEnd='286', 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=1783488771281, creator='13701087609', updateTime=1783588648031, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282026967885124001, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608054340829934, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282026967885124002, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608054340829934, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=204, endPage=210, ext={EN=ArticleExt(id=1281608083080201180, articleId=1281608082857903067, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=BP neural network-based personnel positioning-tracking-stationary alarm system for emergency rescue, columnId=1277328338121261909, journalTitle=China Safety Science Journal, columnName=Public Safety and Emergency Management, runingTitle=null, highlight=null, articleAbstract=

To ensure timely rescue of trapped personnel in fire scenarios, a personnel positioning-tracking-stationary alarm system was proposed by combining BP neural networks and DS-TWR technology. The system was developed based on the LabVIEW platform, where the BP neural network learned the error patterns of multipath effects and non-line-of-sight propagation, corrected DS-TWR ranging errors, and achieved precise personnel positioning and trajectory tracking. By calculating the movement distance within a defined time, the system evaluated personnel motion status and established thresholds of displacement and time to trigger alarms, which automatically activated alerts when a person remained stationary beyond the safety threshold. Test results show that the system achieves centimeter-level static and dynamic positioning accuracy under both normal and metal/electromagnetic interference environments. It features high positioning precision and favorable stability, enables accurate trajectory generation, delivers reliable static personnel alarms, and maintains a low response latency.

, authors=Li Wang¹, Zhe Wang¹, Wenling Guan¹, Jiaqi Zhang¹, Chaolin Liu², Yuying Meng^{1, 3}, authorsList=Li Wang, Zhe Wang, Wenling Guan, Jiaqi Zhang, Chaolin Liu, Yuying Meng, 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=1281608085110244319, articleId=1281608082857903067, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=面向应急救援的BP神经网络人员定位-追踪-静止报警系统, columnId=1277328338280645463, journalTitle=中国安全科学学报, columnName=公共安全与应急管理, runingTitle=null, highlight=null, articleAbstract=

为及时救治火场中被困人员，提出一种耦合反向传播（BP）神经网络和双侧双向测距（DS-TWR）技术的室内人员定位-追踪-及静止报警系统。该系统利用实验室虚拟仪器工程工作台（LabVIEW）整合超宽带（UWB）的DS-TWR技术和BP神经网络，通过BP神经网络学习多径效应与非视距传播的误差特征，修正DS-TWR误差，精确定位人员位置，同步记录行动轨迹；通过计算人员在指定时间范围内的移动距离来评估运动状态，设定位移与时间阈值构建报警机制，当检测到人员静止超过安全阈值时系统自动触发报警。结果表明：该系统在正常及金属障碍电磁干扰环境下，静态及动态定位误差可达厘米级，具有定位精度高、稳定性好的优势，且轨迹绘制精准，人员静止报警信息准确，响应延迟控制在较低水平。

, authors=王丽讲师¹, 王喆¹, 关文玲副教授¹, 张嘉琪教授¹, 刘超林高级工程师², 孟玉莹^{1, 3}, authorsList=王丽讲师, 王喆, 关文玲副教授, 张嘉琪教授, 刘超林高级工程师, 孟玉莹, authorCompany=null, correspAuthors=null, authorNote=, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=P1WsyY1hPPw8XhZ1PBvx3g==, magXml=Z8umQWuoxmHlxnGuVEp59w==, pdfUrl=null, pdf=WcvBPpxO0/xByoifrzettQ==, pdfFileSize=6496272, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=+PuLXleV09aafVxcdZIIYw==, mapNumber=null, fund=null)}, authors=[Author(id=1281608085600977898, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281608082857903067, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=safetywl@email.tjut.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1281608085693252588, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281608082857903067, authorId=1281608085600977898, language=EN, stringName=Li Wang, firstName=Li, middleName=null, lastName=Wang, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1281608085772944365, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281608082857903067, authorId=1281608085600977898, language=CN, stringName=王丽讲师, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹天津理工大学 环境科学与安全工程学院，天津 300384, bio={"content":"

王丽（1982—），女，山东泰安人，博士，讲师，硕士生导师，主要从事人群疏散、公共安全、应急管理等方面的研究。E-mail: safetywl@email.tjut.edu.cn。

"}, bioImg=null, bioContent=

王丽（1982—），女，山东泰安人，博士，讲师，硕士生导师，主要从事人群疏散、公共安全、应急管理等方面的研究。E-mail: safetywl@email.tjut.edu.cn。

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