Abstract: In order to systematically reveal the development law and evolution characteristics of mine numerical intelligence research in China，aiming at the problem that the knowledge structure in this field is not clear，the multi-dimensional relationship network construction and analysis of 4 892 literatures in CNKI database are carried out by using the methods of bibliometrics and social network analysis. It is found that since 2016，the research on mine mathematical intelligence in China has shown an exponential growth trend，and has formed an academic cooperation network of 27 high-frequency authors with Wang Guofa，Mao Shanjun and Ding Enjie as the core. The research hotspots focus on the three theme domains of digital mine，intelligent mine and intelligent mine，showing significant interdisciplinary integration char⁃ acteristics. China University of Mining and Technology，Liaoning Technical University and other institu⁃ tions constitute the core hub of industry-university-research collaborative innovation. In the future，the re⁃ search field of mine digital intelligence in China will show the trend of deep integration of new generation information technology，equal emphasis on green security，deepening of industry-university-research col⁃ laborative innovation，and expanding application of unmanned adaptive intelligent technology. At the same time，artificial intelligence and digital twin，5G and unmanned driving system integration，space-air�ground integrated perception system will become an important development direction. The research results provide a scientific basis for grasping the frontier dynamics and technological evolution path of mine numer⁃ical intelligence.

Key words: mine digitalization and intelligence, smart mining, relational network, bibliometrics, complex network analysis