Research on the Identification of Technological Opportunities in China's Logistics Information and Platform Systems
In the current logistics supply chain,each stage generates a large amount of data,and the existing logistics information and platform systems fail to effectively coordinate and process this information,severely limiting the industry's development. This study aims to extract technical topics from extensive patent literature,revealing the complex evolution of these topics and identifying protential opportunities to enhance research efficiency and strategic layout. By running the LDA model to derive the dates of document-topic and topic-word probability distributions,the co-occurrence strength of technical topics is calculated,the topic co-occurrence network is contructed. The study finds that the technological evolution of logistics information and platform systems will develop towards digitalization,intelligence,and collaboration. Potential technological opportunities include the integration of vehicle collaboration systems with digital parks,intelligent logistics with smart robots,and vehicle collaboration systems with intelligent logistics.
logistics information and platform systemspatent miningLDA model
万方数据
维普
