The work aims to design a big data knowledge graph application system for China packaging industry in terms of the problems existing in the packaging industry, such as the long industrial chain, large and scattered data, and incomplete knowledge in the packaging field. From the industry level, the comprehensive classification system covering the whole field of packaging was defined, and the latest technology of knowledge graph in artificial intelligence was combined to automatically collect and aggregate various types of data on the Internet such as government information, business information, industry information, academic papers, and global packaging patents, and extract knowledge into a knowledge base of packaging knowledge graph covering information, policies, conferences, standards, papers, patents, companies, products, universities, institutions and experts et al. The main functions of the system included data acquisition, knowledge graph and terminal application, which realized graph exploration, industry chain diagram, data report and association search of big data in packaging industry. The system which is easy to use can obtain relevant data of packaging industry from multi-view and multi-dimension to improve the digitalization and informationization level of the industry, accelerate the upgrading of intelligent industry in China packaging industry, and promote the development of the packaging industry to gradually move toward smart, green, intensive and innovative directions.