Article(id=1282034784272630064, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282034747870253265, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.10.1529, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1746892800000, receivedDateStr=2025-05-11, revisedDate=1752249600000, revisedDateStr=2025-07-12, acceptedDate=null, acceptedDateStr=null, onlineDate=1783590511624, onlineDateStr=2026-07-09, pubDate=1761580800000, pubDateStr=2025-10-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783590511624, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783590511624, creator=13701087609, updateTime=1783590511624, updator=13701087609, issue=Issue{id=1282034747870253265, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='10', pageStart='1', pageEnd='252', issueExtLink='null', onlineDate='null', pubDate='1761580800000', pubDateStr='2025-10-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783590502946, creator='13701087609', updateTime=1783593819616, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282048659068006772, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282034747870253265, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282048659068006773, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282034747870253265, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=157, endPage=165, ext={EN=ArticleExt(id=1282034784490733873, articleId=1282034784272630064, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=A VR particle fire-extinguishing algorithm based on heat transfer and firefighting training system construction, columnId=1149733270084042840, journalTitle=China Safety Science Journal, columnName=Public safety, runingTitle=null, highlight=null, articleAbstract=

To enhance the immersion and effectiveness of fire training and improve the interactive experience of acquiring fire-extinguishing skills, a VR particle fire-extinguishing algorithm based on a heat transfer was proposed and developed on a VR platform. First, a thermodynamic interaction model at the particles level was constructed by introducing a heat transfer mechanism to simulate the energy transfer process between extinguishing agent particles and flame particles. Then, the random walk algorithm was combined with the vortex dynamics model to enhance the natural behavior of the particle system during spraying, diffusion, and turbulence, thereby improving the dynamic realism of flame propagation and fire suppression. Finally, a VR-based fire training system featuring multiple typical fire scenarios was developed based on the Unity 3D engine, and simulation experiments were conducted to validate the matching relationship between different types of fire extinguishers and fire categories. The results show that the collision frequency and energy attenuation curves between extinguishing particles and flame particles vary significantly depending on the extinguisher type and its applicable scenario. Furthermore, the flame decay rate governed by the heat transfer model is closely related to the type of fire extinguisher, effectively reflecting the physical patterns of fire suppression processes.

, authors=Zheng WEN, Jianqin ZHANG^**, Ao TIAN, Chaonan HU, authorsList=Zheng WEN, Jianqin ZHANG, Ao TIAN, Chaonan HU, authorCompany=null, correspAuthors=Jianqin ZHANG, 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=1282034785560281396, articleId=1282034784272630064, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=基于热传递的VR粒子灭火算法及消防培训系统构建, columnId=1149733271510106222, journalTitle=中国安全科学学报, columnName=公共安全, runingTitle=null, highlight=null, articleAbstract=

为提升消防培训的沉浸性与实效性，增强灭火技能学习的交互体验，基于虚拟现实（VR）平台，提出一种基于热传递的VR粒子灭火算法。首先，引入热传递与能量交换机制，构建粒子层面的热力学交互模型，用于模拟灭火剂颗粒与火焰粒子之间的能量转移过程；然后，结合随机游走算法与涡旋动力学模型，增强粒子系统在喷射、扩散与湍流过程中的自然表现力，从而提升火焰蔓延与灭火过程的动态真实感；最后，基于Unity 3D引擎开发具有多种典型火灾场景的VR消防培训系统，并通过模拟试验验证不同类型灭火器与火灾类型之间的匹配关系。试验结果表明：不同灭火器粒子系统在匹配适用场景时，灭火粒子与火焰粒子之间的碰撞频率与能量衰减曲线存在显著差异；热传递模型下的火焰衰减速率与灭火器类型密切相关，能有效反映火灾扑灭过程的物理规律。

, authors=文政, 张健钦教授^**, 田傲, 胡超男, authorsList=文政, 张健钦教授, 田傲, 胡超男, authorCompany=null, correspAuthors=张健钦教授, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=jMtgbAUy5f7LC+P3cvbFCg==, magXml=XTJrAgFsgOoyNDQxQKpkDA==, pdfUrl=null, pdf=Q3+5hTKOVaWbb/g3C0zNAQ==, pdfFileSize=10318086, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=paArfM1nZXEA+u2PppDCgA==, mapNumber=null, fund=null)}, authors=[Author(id=1282034785862271289, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282034784272630064, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=wenzheng_bucea@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1282034785937768763, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282034784272630064, authorId=1282034785862271289, language=EN, stringName=Zheng WEN, firstName=Zheng, middleName=null, lastName=WEN, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1282034786009071932, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282034784272630064, authorId=1282034785862271289, language=CN, stringName=文政, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=北京建筑大学 测绘与城市空间信息学院，北京 100044, bio={"content":"

文政（1998—），男，河北邢台人，博士研究生，主要研究方向为城市应急、虚拟现实、模拟仿真。E-mail: wenzheng_bucea@163.com。

"}, bioImg=null, bioContent=

文政（1998—），男，河北邢台人，博士研究生，主要研究方向为城市应急、虚拟现实、模拟仿真。E-mail: wenzheng_bucea@163.com。

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