Yang Xiao , Jia-Wang He , Yong Cao , Zhen-Ping Wang , Jun Deng , Chi-Min Shu
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引用次数: 0
Abstract
The investigation into the migration patterns of mine dust holds substantial significance for ensuring safety production and safeguarding on occupational health in mining operations. To thoroughly explain the present research situation and development tendencies in this area, this work employed bibliometric and visual analyses on 914 papers retrieved from the Web of Science Core Collection (2005–2025) using CiteSpace and VOSviewer software. The results revealed a dramatic upsurge in annual publications addressing mine dust migration, with an average annual growth rate exceeding 20 %. The research trajectory can be categorised into four distinct phases: Foundational exploration, technological introduction, rapid advancement, and in-depth applications. China, the United States, and Russia emerge as the leading nations in this field, with China contributing 68 % of the total publications. Notable institutions, such as Shandong University of Science and Technology, and China University of Mining and Technology, have established a core collaborative network. Highly cited papers predominantly focus on numerical simulations of dust diffusion, the development of dust suppressants, and ventilation optimization technologies. Keyword co-occurrence analysis highlights “numerical simulation”, “coal dust suppression”, and “respirable dust” as key research areas. Cluster analysis further revealed that dust explosion characteristics, wetting mechanisms, and multi-physical field coupling represented frontier research directions. Bursting word analysis indicated that nanomaterials, intelligent monitoring, and intelligent dust control were emerging themes gaining increasing attention. Looking ahead, it is imperative to enhance interdisciplinary integration to advance refined modelling and intelligent control technologies for dust migration patterns. The results provided a robust theoretical foundation for strategic planning and technological innovation in mine dust research through the construction of a comprehensive knowledge map.
研究矿山粉尘的运移规律,对保障矿山安全生产和保障职业健康具有重要意义。为了全面阐述这一领域的研究现状和发展趋势,本研究利用CiteSpace和VOSviewer软件对Web of Science核心文集(2005-2025)中的914篇论文进行了文献计量学和可视化分析。结果显示,关于矿山粉尘迁移的年度出版物急剧增加,年平均增长率超过20%。研究轨迹可分为基础探索、技术引进、快速推进和深入应用四个阶段。中国、美国和俄罗斯成为该领域的主要国家,其中中国占总出版物的68%。山东科技大学、中国矿业大学等知名院校已经建立了核心合作网络。高被引论文主要集中在粉尘扩散的数值模拟、抑尘剂的开发和通风优化技术。关键词共现分析突出了“数值模拟”、“煤尘抑制”和“呼吸性粉尘”作为重点研究领域。聚类分析进一步揭示了粉尘爆炸特征、润湿机理和多物理场耦合是研究的前沿方向。爆发词分析表明,纳米材料、智能监测和智能粉尘控制是日益受到关注的新兴主题。展望未来,必须加强跨学科的整合,以推进尘埃迁移模式的精细建模和智能控制技术。研究结果通过构建综合知识图谱,为矿山粉尘研究的战略规划和技术创新提供了坚实的理论基础。
期刊介绍:
The broad scope of the journal is process safety. Process safety is defined as the prevention and mitigation of process-related injuries and damage arising from process incidents involving fire, explosion and toxic release. Such undesired events occur in the process industries during the use, storage, manufacture, handling, and transportation of highly hazardous chemicals.