Article(id=1282037440487592836, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282037390130790473, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.12.0449, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1751385600000, receivedDateStr=2025-07-02, revisedDate=1758297600000, revisedDateStr=2025-09-20, acceptedDate=null, acceptedDateStr=null, onlineDate=1783591144916, onlineDateStr=2026-07-09, pubDate=1766851200000, pubDateStr=2025-12-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783591144916, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783591144916, creator=13701087609, updateTime=1783591144916, updator=13701087609, issue=Issue{id=1282037390130790473, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='12', pageStart='1', pageEnd='259', issueExtLink='null', onlineDate='null', pubDate='1766851200000', pubDateStr='2025-12-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783591132910, creator='13701087609', updateTime=1783593783109, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282048505929777979, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282037390130790473, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282048505929777980, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282037390130790473, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=180, endPage=186, ext={EN=ArticleExt(id=1282037440709890949, articleId=1282037440487592836, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Fire accident analysis of sweeping robot-heater based on FRAM-PLTS, columnId=1149733270084042840, journalTitle=China Safety Science Journal, columnName=Public safety, runingTitle=null, highlight=null, articleAbstract=

To address the safety risk issues of smart household appliance products, a systematic risk analysis was conducted by taking two sweeping robot-heater fire accidents in a certain location as the research subjects. An integrated method combining the FRAM and PLTS was adopted. FRAM was applied to analyze the accidents, through which nine core functional modules were identified, including navigation module, obstacle avoidance sensor module, and motion control module. Subsequently, PLTS was introduced to quantitatively determine the main characteristics of the input and output terminals of each functional module. Based on this quantitative analysis, four functional resonance modules that led to the accidents in the sweeping robot-heater were confirmed. The results show that the primary causes of the accidents include insufficient sensor accuracy and failure of users to implement the "power-off when leaving" operation. Additionally, the barrier system for risk prevention and control is identified, which consists of physical barriers, functional barriers, intangible barriers, and symbolic barriers.

, authors=Guozhong HUANG^{1, 2}, Zhiyong ZUO^{1, 2}, Qing DENG^{**, 1, 2}, Hanxige CHEN^{1, 2}, Zhengkai CAO^{1, 2}, authorsList=Guozhong HUANG, Zhiyong ZUO, Qing DENG, Hanxige CHEN, Zhengkai CAO, authorCompany=null, correspAuthors=Qing DENG, 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=1282037441171264392, articleId=1282037440487592836, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=基于FRAM-PLTS扫地机器人-取暖器火灾事故分析, columnId=1149733271510106222, journalTitle=中国安全科学学报, columnName=公共安全, runingTitle=null, highlight=null, articleAbstract=

针对智能家电产品安全风险问题，以某地2起扫地机器人-取暖器火灾事故为研究对象，采用基于功能共振分析法（FRAM）和概率语言术语集（PLTS）的集成方法，开展系统性的风险分析。运用FRAM分析事故，得到包括导航模块、避障传感器模块、运动控制模块等在内的9大核心功能模块；通过引入PLTS量化确定功能模块输入端、输出端主要表型，确定扫地机器人-取暖器致灾系统中导致事故的4个功能共振模块。研究结果表明：传感器精度不足和用户未执行“人走断电”等是事故的主要原因；屏障体系包括物理屏障、功能屏障、无形屏障和象征屏障。

, authors=黄国忠教授^{1, 2}, 左志勇^{1, 2}, 邓青副教授^{**, 1, 2}, 陈寒熙格^{1, 2}, 曹正凯^{1, 2}, authorsList=黄国忠教授, 左志勇, 邓青副教授, 陈寒熙格, 曹正凯, authorCompany=null, correspAuthors=邓青副教授, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=ANeZskmveu3xjkVAKEUPCQ==, magXml=Jv5YM8U1Q20TaRumrFUvSA==, pdfUrl=null, pdf=wUsnFCb3ZAdzOSAn7CtzAg==, pdfFileSize=3619162, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=xfSIb6aXNketA9MbdTv7nw==, mapNumber=null, fund=null)}, authors=[Author(id=1282037441934627728, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282037440487592836, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=hjxhuanggz@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1282037442047873939, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282037440487592836, authorId=1282037441934627728, language=EN, stringName=Guozhong HUANG, firstName=Guozhong, middleName=null, lastName=HUANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=¹School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
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²北京科技大学 大安全科学研究院，北京 100083, bio={"content":"

黄国忠（1972—），男，黑龙江双鸭山人，博士，教授，主要从事产品缺陷判定与风险评估、智慧化电气火灾预警技术、公共安全与应急管理等方面的研究。E-mail:hjxhuanggz@163.com。

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黄国忠（1972—），男，黑龙江双鸭山人，博士，教授，主要从事产品缺陷判定与风险评估、智慧化电气火灾预警技术、公共安全与应急管理等方面的研究。E-mail:hjxhuanggz@163.com。

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