基于CiteSpace的煤矿智慧物流技术应用趋势研究

    Research on the application trend of intelligent logistics technology in coal mines based on CiteSpace

    • 摘要: 为更加全面地了解国内外煤矿智慧物流技术应用的研究热点和发展方向,进一步研究该领域的研究热点、技术演进及未来趋势,以CNKI(中国知网)和WOS(科学网)数据库为数据来源,利用可视化工具CiteSpace和文献计量学方法,比较中外煤矿智慧物流技术应用的发展,对该领域2004—2023年间的文献进行知识图谱分析。结果表明,国内研究聚焦于提升煤矿物流系统的效率、效能与可靠性,通过RFID、传感器、云计算等技术实现实时监控与数字化管理,并优化物流模型算法以提升资源利用效率;而国外研究则更注重先进技术的应用与创新,特别是人工智能、机器学习及VR/AR技术在煤矿物流自动化、智能化管理、培训与安全方面的应用,同时强调环境保护与可持续发展。研究热点涵盖煤矿生产管理、智能化设备应用、绿色矿山建设及系统优化、输送带技术等。趋势上,煤矿智慧物流技术正逐步向高度智能化与人工智能化转型,国内外均致力于推进物联网、大数据、人工智能等技术的应用,但市场需求、政策支持及技术路径存在差异。研究亦指出,国内外技术创新深度、跨学科融合、标准化建设及技术成本等问题仍需解决。

       

      Abstract: In order to gain a more comprehensive understanding of the research hotspots and development directions of intelligent logistics technology applications in coal mines both domestically and internationally, and to further study the research hotspots, technological evolution, and future trends in this field. Using CNKI (China National Knowledge Infrastructure) and WOS (Web of Science) databases as data sources, and utilizing visualization tools CiteSpace and bibliometric methods, this paper compares the development of intelligent logistics technology applications in coal mines between China and foreign countries, and conducts knowledge graph analysis on literature in this field from 2004 to 2023. The results indicate that domestic research focuses on improving the efficiency, effectiveness, and reliability of coal mine logistics systems, achieving real-time monitoring and digital management through technologies such as RFID, sensors, and cloud computing, and optimizing logistics model algorithms to enhance resource utilization efficiency. However, foreign research places more emphasis on the application and innovation of advanced technologies, especially the application of artificial intelligence, machine learning, and VR/AR technology in coal mine logistics automation, intelligent management, training, and safety, while emphasizing environmental protection and sustainable development. The research hotspots cover coal mine production management, intelligent equipment application, green mine construction and system optimization, conveyor belt technology, etc. On the trend, intelligent logistics technology in coal mines is gradually transforming towards high intelligence and artificial intelligence. Both domestically and internationally are committed to promoting the application of technologies such as the Internet of Things, big data, and artificial intelligence, but there are differences in market demand, policy support, and technological paths. The study also pointed out that issues such as the depth of domestic and international technological innovation, interdisciplinary integration, standardization construction, and technological costs still need to be addressed.

       

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