Statistical analysis of knowledge graph of dust explosion accidents in China

doi:10.16265/j.cnki.issn1003-3033.2026.01.0866

Abstract

Abstract:

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.

Key words: dust explosion accident, knowledge graph, CiteSpace, prevention and control system, statistical analysis

CLC Number:

X928.7火灾与爆炸事故

ZHAO Kaigong. Statistical analysis of knowledge graph of dust explosion accidents in China[J]. China Safety Science Journal, 2026, 36(1): 35-41.

Figures/Tables 9

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References 19

[1]	苑春苗, 孙凯文, 李刚, 等. 瓦斯煤尘及其混合物着火爆炸特性研究进展[J]. 矿业安全与环保, 2024, 51(6): 42-53.
	YUAN Chunmiao, SUN Kaiwen, LI Gang, et al. Research progress on ignition and explosion characteristics of gas and coal dust and their mixtures[J]. Mining Safety & Environmental Protection, 2024, 51(6): 42-53.
[2]	邹天宇, 杜勋军, 张彤. 粉尘爆炸与防控措施[J]. 电气防爆, 2023(5): 28-30.
	ZOU Tianyu, DU Xunjun, ZHANG Tong. Dust explosion and countermeasures[J]. Electric Explosion Protection, 2023(5): 28-30.
[3]	JI Wei, YUAN Quan, CHENG Gang, et al. Traffic accidents of autonomous vehicles based on knowledge mapping: a review[J]. Journal of Traffic and Transportation Engineering: English Edition, 2023, 10(6): 1061-1073.
[4]	LUO Qi, WANG Sihan, HUANG Jianling, et al. Research progress in construction workers' risk-taking behavior and hotspot analysis based on CiteSpace analysis[J]. Buildings, 2024, 2024: DOI:10.3390/buildings14123786.
[5]	邓韫璇, 陆莹, 迟泽勋, 等. 基于知识图谱的地铁施工安全事故原因及安全对策分析[J]. 项目管理技术, 2025, 23(2): 97-104.
	DENG Yunxuan, LU Ying, CHI Zexun, et al. Analysis of the causes and safety countermeasures of subway construction safety accidents based on knowledge graph[J]. Project Management Technology, 2025, 23(2): 97-104.
[6]	许慧, 蒋玫, 薛红, 等. 基于知识图谱的建筑火灾事故智能分析[J]. 中国安全科学学报, 2024, 34(12): 94-99. doi: 10.16265/j.cnki.issn1003-3033.2024.12.0688
	XU Hui, JIANG Mei, XUE Hong, et al. Intelligent analysis of building fire accidents based on knowledge graph[J]. China Safety Science Journal, 2024, 34(12): 94-99. doi: 10.16265/j.cnki.issn1003-3033.2024.12.0688
[7]	GE Huimin, BO Yunyu, ZANG Wenkai, et al. Literature review of driving risk identification research based on bibliometric analysis[J]. Journal of Traffic and Transportation Engineering: English Edition, 2023, 10(4): 560-577.
[8]	李长明, 赵开功, 张晓蕾, 等. 煤矿智能化项目风险评价云模型及其应用[J]. 中国安全科学学报, 2024, 34(5):168-174. doi: 10.16265/j.cnki.issn1003-3033.2024.05.1680
	LI Changming, ZHAO Kaigong, ZHANG Xiaolei, et al. Cloud model and its application for risk evaluation of coal mine intelligent project[J]. China Safety Science Journal, 2024, 34(5): 168-174. doi: 10.16265/j.cnki.issn1003-3033.2024.05.1680
[9]	罗振敏, 刘荣玮, 程方明, 等. 煤尘爆炸的研究现状及发展趋势[J]. 矿业安全与环保, 2020, 47(2): 94-98.
	LUO Zhenmin, LIU Rongwei, CHENG Fangming, et al. Research status and development trend of coal dust explosion[J]. Mining Safety & Environmental Protection, 2020, 47(2): 94-98.
[10]	江丙友, 洪汉, 苏明清, 等. 密闭管道内瓦斯爆炸卷扬沉积煤尘爆炸传播特性[J]. 煤炭学报, 2024, 49(4): 1941-1951.
	JIANG Bingyou, HONG Han, SU Mingqing, et al. Characterization of explosion propagation of coal dust deposited by gas explosion convolutions in closed pipelines[J]. Journal of China Coal Society, 2024, 49(4): 1941-1951.
[11]	王林元, 吕瑞琪, 邓洪波. 不同粒径镁铝合金粉尘爆炸与抑爆特性研究[J]. 中国安全生产科学技术, 2017, 13(1): 34-38.
	WANG Linyuan, LYU Ruiqi, DENG Hongbo. Study on characteristics of explosion and explosion suppression for Magnesium-Aluminum alloy dust with different particle size[J]. Journal of Safety Science and Technology, 2017, 13(1): 34-38.
[12]	张二强, 张礼敬, 陶刚, 等. 粉尘爆炸特征和预防措施探讨[J]. 中国安全生产科学技术, 2012, 8(2): 88-92.
	ZHANG Erqiang, ZHANG Lijing, TAO Gang, et al. Preliminary study on characteristics and preventive measures of the dust explosion[J]. Journal of Safety Science and Technology, 2012, 8(2): 88-92.
[13]	陆继锋, 李方, 刘吉庆. 非煤粉尘抑爆领域文献计量分析[J]. 消防科学与技术, 2022, 41(10): 1464-1468.
	LU Jifeng, LI Fang, LIU Jiqing. Bibliometric analysis in the field of non-coal dust explosion suppression[J]. Fire Science and Technology, 2022, 41(10): 1464-1468.
[14]	钟圣俊, 苗楠, 刘洪洋. 铝镁金属抛光工艺粉尘爆炸事故分析与防护[J]. 现代职业安全, 2014(10): 26-29.
[15]	王宝兴, 经建生, 高云升. 黑龙江七台河东风煤矿矿难是瓦斯爆炸引起的煤尘爆炸[J]. 消防技术与产品信息, 2006(4): 45-47.
[16]	吴华伟, 周翔. 木材加工企业粉尘防爆的现状及对策探讨[J]. 安全与健康, 2018(3): 42-45.
[17]	郑万波, 吴燕清, 梁爱春, 等. 煤矿粉尘事故风险管理体系的应用研究[J]. 能源与环保, 2017, 39(7): 11-16.
	ZHENG Wanbo, WU Yanqing, LIANG Aichun, et al. Application study on dust accident risk management system in coal mine[J]. China Energy and Environmental Protection, 2017, 39(7): 11-16.
[18]	潘超, 李刚, 李思琦, 等. “8·2”昆山事故铝粉爆炸猛度实验研究[J]. 消防科学与技术, 2017, 36(3): 309-312.
	PAN Chao, LI Gang, LI Siqi, et al. Experimental study on the explosion violence of aluminum powder in Kunshan "8·2" accident[J]. Fire Science and Technology, 2017, 36(3): 309-312.
[19]	杨玲. 昆山8·2铝粉尘爆炸事故的思考[J]. 安全, 2015(4): 54-55.

点火源	不同粉尘类型下点火源出现概率/%
点火源	纺织	硅粉	化学品	金属	粮食	硫磺	煤粉	木材	其他	塑料	药物
爆破	—	—	—	—	—	—	28.6	—	—	—	—
不明	50.0	100.0	—	25.6	38.1	50.0	—	18.2	33.3	—	—
车辆火花	—	—	—	—	—	—	7.1	—	—	—	—
电焊、气割作业	—	—	20.0	2.3	23.8	50.0	14.3	9.1	—	—	—
电气设备火花	—	—	20.0	20.9	14.3	—	14.3	9.1	—	—	—
堆积过热自燃	—	—	—	—	4.8	—	—	—	—	—	—
静电	—	—	20.0	7.0	4.8	—	—	—	33.3	50.0	100.0
明火	—	—	—	—	9.5	—	7.1	18.2	—	—	—
摩擦	—	—	20.0	27.9	4.8	—	21.4	36.4	33.3	50.0	—
热表面	50.0	—	20.0	—	—	—	7.1	9.1	—	—	—
受潮过热	—	—	—	16.3	—	—	—	—	—	—	—

防控层级	核心内容	实施细节
危险源管控	粉尘特性与浓度控制	①建立企业可燃粉尘清单,明确粉尘的爆炸特性参数(如粉尘爆炸特性常数、最大爆炸压力、最小爆炸质量浓度、最小点火能量等);②实施粉尘源头控制,采用湿法作业、密闭输送等工艺减少粉尘扩散;③严格划分粉尘爆炸危险区域
设施保障	除尘与防爆设备	①设计与安装有效的除尘系统,包括采用抗爆、隔爆设计,规范管道风速等;②在爆炸危险区域全面使用防爆电气设备;③规范设备维护,防止机械摩擦、过热产生点火源;④安装有效的静电导除与接地装置;⑤根据风险评估结果,合理选用泄爆、抑爆、隔爆、抗爆等防护装置
管理体系	制度与培训	①制定并严格执行粉尘清理制度,确保作业场所无积尘;②建立动火作业、有限空间作业等高风险作业审批程序;③加强员工安全培训与警示教育,杜绝违章操作;④建立隐患排查治理长效机制,定期开展风险辨识评估
应急处置	预警与救援	①制定具有针对性和可操作性的粉尘爆炸专项应急预案;②配备符合要求的应急器材,消防设施,个人防护装备等;③定期组织应急演练,确保员工熟悉报警、疏散、初期扑救和医疗急救流程;④建立与周边企业和公共应急力量的联动机制