With the global popularity of the concept of green and sustainable development, bamboo fiber technology has made great advances and found its way into several important materials applications. This study attempts to analyze the bamboo fiber technology from a patent perspective, hoping to help enterprises and R&D personnels better grasp the technology development trend and evolution path. Because the current patent analysis methods can not achieve the above objectives well, this paper proposes a new method of clustering and identifying sub-clusters by constructing bamboo fiber patent citation network and patent-international patent classification two mode network. Moreover, this paper uses natural language processing and main path analysis to perform subject word analysis and key technology identification on these technological sub-clusters, respectively. The analysis process and method in this study also have implications for patent analysis in technological fields such as graphene or carbon fiber.

随着绿色环保和可持续发展概念的全球普及，竹纤维技术取得了长足的进步，并已进入多种重要的材料应用领域。本研究试图从专利的角度分析竹纤维技术，以期帮助企业和研发人员更好地掌握技术发展趋势和发展路径。由于目前的专利分析方法不能很好地达到上述目的，本文提出了一种通过构建竹纤维专利引证网络和专利国际专利分类两种模式网络对子集群进行聚类和识别的新方法。此外，本文使用自然语言处理和主要路径分析对这些技术子类进行主题词分析和关键技术识别，分别。本研究中的分析过程和方法也对石墨烯或碳纤维等技术领域的专利分析产生了影响。