The development of intelligent manufacturing is related to the effectiveness of the transformation and upgrading of China's manufacturing industry. Based on the annual reports of China's listed manufacturing companies, through text data mining, the keywords are extracted to reflect the concerns of enterprises about intelligent manufacturing, and then the word frequency and co-word network analysis are used to gain insight into the development trend of China's intelligent manufacturing.
The study found that the focus of Chinese manufacturing enterprises' concerns about intelligent manufacturing covers the most advanced policies, development paradigms, enabling technologies, key equipment and radiation fields, especially since 2014. At present, China's intelligent manufacturing is still dominated by automation and informatization paradigms, but the tendency of networking such as data and interconnection has emerged; The Yangtze River Delta, Pearl River Delta and Beijing-Tianjin region are the regional highlands of China's intelligent manufacturing, and the equipment manufacturing industry is the leading industry in intelligent transformation. China's intelligent manufacturing has derived an interconnected and symbiotic "smart +" ecological network, centered on development paradigms, specific technologies and equipment.
Data**:Text mining of annual reports of listed companies in the manufacturing industryTime Span:2001-2021Regional Scope:Listed companies in the manufacturing industryIndicator Description:
References:
1] Guo Lei, He Fangbing, Li Jingwen. Analysis of the development trend of China's intelligent manufacturing: Based on the text data of the annual reports of listed companies in the manufacturing industry[J].Innovation Science and Technology,2020,20(02):61-71doi:10.19345/j.cxkj.1671-0037.2020.02.007.
2] Chen Xiuying, Liu Sheng. An empirical study on the impact of intelligent manufacturing transformation on industrial structure upgrading[J].Statistics and Decision,2020,36(13):121-124doi:10.13546/j.cnki.tjyjc.2020.13.026.
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