计算机与现代化 ›› 2021, Vol. 0 ›› Issue (05): 112-119.

• 人工智能 • 上一篇    下一篇

基于CiteSpace的AGV路径规划研究热点分析

  

  1. (武汉科技大学汽车与交通工程学院,湖北武汉430065)
  • 出版日期:2021-06-03 发布日期:2021-06-03
  • 作者简介:刘羽飞(1996—),男,湖北武汉人,硕士研究生,研究方向:AGV调度与路径规划,E-mail: 690259711@qq.com; 张绪美(1982—),女,副教授,博士,研究方向:物流系统规划,E-mail: 12366056@qq.com; 梁晓磊(1985—),男,讲师,博士,研究方向:复杂物流系统优化,群智能,E-mail: 402544527@qq.com。
  • 基金资助:
    教育部2018年第一批产学合作协同育人项目(201801287002); 机械传动与制造工程湖北省重点实验室2019年度开放基金资助项目(MTMEOF2019B11); 国家自然科学基金资助项目(61603280)

Research Hotspot Analysis of AGV Path Planning Based on CiteSpace

  1. (College of Automotive and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430065, China)
  • Online:2021-06-03 Published:2021-06-03

摘要: AGV路径规划对于提升物料搬运效率起到了重要作用,随着技术的发展与AGV应用范围的逐步扩大,路径规划问题得到了许多学者的研究与关注。本文利用文献统计分析法与可视化工具CiteSpace软件,以中国知网与Web of Science为对象,对中外文文献分析。首先通过关键词词频与中心性排序得出研究热点,中文文献研究热点包含:路径规划算法、AGV调度、时间窗、激光导航;外文文献研究热点包含:flexible manufacturing system、material handling system、layout、AGV system、algorithm,接着对热点逐一述评。然后将中外文文献进行对比,分析异同之处。最后对AGV路径规划的研究进行展望,明确未来的研究将朝着以下几点展开:算法的组合优化、应用场景的针对性建模、相关问题的协同研究。

关键词: 自动导引车, 路径规划, CiteSpace, 可视化分析

Abstract: AGV path planning plays an important role in improving the efficiency of material handling. With the development of technology and the gradual expansion of the application scope of AGV, the problem of path planning has attracted the attention of scholars. This paper analyzes Chinese and foreign literatures based on CNKI and WOS by using the method of literature statistical analysis and visualization tool CiteSpace software. First, the research hotspots are obtained by keyword frequency and centralized sorting. The Chinese literature research hotspots include path planning algorithm, AGV scheduling, time window and laser navigation. The foreign literature research hotspots include flexible manufacturing system, material handling system, layout, AGV system and algorithm. Secondly, the hotspots are reviewed one by one. Then the Chinese and foreign literatures are compared and the similarities and differences of the Chinese and foreign literatures are analysed. Finally, the research of AGV path planning is prospected, and the future research will focus on the following aspects: combinatorial optimization of algorithms, targeted modeling of application scenarios and collaborative research on related issues.

Key words: AGV, path planning, CiteSpace, visualized analysis