Article(id=1281627165821218934, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281627156769903305, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2026.01.0866, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1755273600000, receivedDateStr=2025-08-16, revisedDate=1764432000000, revisedDateStr=2025-11-30, acceptedDate=null, acceptedDateStr=null, onlineDate=1783493327813, onlineDateStr=2026-07-08, pubDate=1769529600000, pubDateStr=2026-01-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783493327813, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783493327813, creator=13701087609, updateTime=1783493327813, updator=13701087609, issue=Issue{id=1281627156769903305, tenantId=1146029695717560320, journalId=1146031787341344770, year='2026', volume='36', issue='1', pageStart='1', pageEnd='280', issueExtLink='null', onlineDate='null', pubDate='1769529600000', pubDateStr='2026-01-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783493325654, creator='13701087609', updateTime=1783588714348, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282027246013624992, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281627156769903305, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282027246013624993, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281627156769903305, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=35, endPage=41, ext={EN=ArticleExt(id=1281627166026739831, articleId=1281627165821218934, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Statistical analysis of knowledge graph of dust explosion accidents in China, columnId=1277328386947150682, journalTitle=China Safety Science Journal, columnName=Safety Science Theories and Methods, runingTitle=null, highlight=null, articleAbstract=

This study aims to systematically explore the temporal and spatial patterns, causal mechanisms, and prevention and control strategies of dust explosion accidents in China. Knowledge graph technology combined with statistical analysis was used to analyze the relevant literature and accident cases of dust explosion accidents in China from 1990 to 2024. A knowledge graph was constructed using CiteSpace visualization software to analyze the spatiotemporal distribution characteristics and the accident causality chain of dust explosion accidents. A four-layer prevention and control system framework of "hazard source-facility-management-emergency" was constructed, and its effectiveness was verified by typical cases. It is found that the risk of dust explosion shows the characteristics of "type differentiation" and "geographical migration", with frequent occurrence of dust, high fatality of coal dust and high secondary injury of grain dust explosions. The accident hotspots are showing a trend of shifting from the eastern to the central and western regions. Inadequate dust cleaning and defective dust removal systems are central causes, while operational violations and use of non-explosion-proof equipment are main triggering conditions, and the causal structure varies significantly with dust types. The implementation of differential and precise prevention and control strategies is the key means to improve the prevention and control efficiency of dust explosion accidents.

, authors=Kaigong ZHAO, authorsList=Kaigong ZHAO, 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=1281627166332924024, articleId=1281627165821218934, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=我国粉尘爆炸事故知识图谱统计分析, columnId=1277328387270112092, journalTitle=中国安全科学学报, columnName=安全科学理论与方法, runingTitle=null, highlight=null, articleAbstract=

为系统探究我国粉尘爆炸事故的时空规律、致因机制与防控策略，通过融合知识图谱技术与统计分析方法，分析我国1990—2024年粉尘爆炸事故相关文献和事故案例；采用CiteSpace可视化软件构建知识图谱，识别粉尘爆炸事故的时空分布特征与致因逻辑链；建立“危险源-设施-管理-应急”4层防控体系框架，并通过典型案例验证其有效性。结果表明：粉尘爆炸风险呈现“类型分化”与“地域迁移”的特征，具体表现为金属粉尘频发、煤尘高致死率、粮食粉尘易引发高次生伤害等，且事故热点呈现从东部向中西部地区转移的趋势。粉尘清理不当和除尘系统缺陷是核心致灾因素，人员违章操作和非防爆设备使用是主要触发条件，且致因结构存在显著的粉尘类型差异性。实施差异化和精准化防控策略是提升粉尘爆炸事故防控效能的关键手段。

, authors=赵开功高级工程师, authorsList=赵开功高级工程师, authorCompany=null, correspAuthors=null, authorNote=, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=cqCZ27Vg9Sz3vjOn4kmooA==, magXml=/uIBQp4D1MRouEWi4cScMQ==, pdfUrl=null, pdf=uGQIsfml+Xp7TK0womSd5w==, pdfFileSize=6206345, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=JKJE+ixFtWzXJFJ4MTMFuQ==, mapNumber=null, fund=null)}, authors=[Author(id=1281627168132280445, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281627165821218934, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=smilevel@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1281627168220360831, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281627165821218934, authorId=1281627168132280445, language=EN, stringName=Kaigong ZHAO, firstName=Kaigong, middleName=null, lastName=ZHAO, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=Safety and Environmental Supervision Department, CHN Energy Investment Group Co., Ltd., Beijing 100011, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1281627168287469696, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281627165821218934, authorId=1281627168132280445, language=CN, stringName=赵开功高级工程师, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=国家能源投资集团有限责任公司 安全环保监察部，北京 100011, bio={"content":"

赵开功（1981—），男，山东济宁人，博士，高级工程师，主要从事应急救援、职业健康、安全信息化和安全生产理论与技术方面的工作。E-mail: smilevel@163.com。

"}, bioImg=null, bioContent=

赵开功（1981—），男，山东济宁人，博士，高级工程师，主要从事应急救援、职业健康、安全信息化和安全生产理论与技术方面的工作。E-mail: smilevel@163.com。

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