中国矿山工程

To clarify the research hotspots and development trends in the field of intelligent open-pit mining planning, this paper takes the relevant literature on intelligent open-pit mining from 2010 to 2024 in the China National Knowledge Infrastructure (CNKI) database as the data source and uses CiteSpace 631 (64 bit) software for knowledge mapping visualization analysis. Through the analysis of keyword co-occurrence, emergence, and clustering, the research hotspots and core themes in this field are sorted out. The results show that the high-frequency keywords in the research on intelligent open-pit mining planning are mainly concentrated in “open-pit mine”, “drone”, “truck dispatching”, “driverless”, “slope monitoring”, etc., forming research clusters centered on the application of intelligent mining technology, production scheduling optimization, and safety monitoring and control. The keyword emergence map indicates that “intelligent mine”, “driverless”, “big data”, etc. are the research frontiers in recent years, reflecting the trend of the field towards intelligence and digitalization. Cluster analysis further reveals that subfields such as numerical simulation, boundary optimization, and intelligent equipment have formed stable research directions, and each direction shows the characteristics of technology integration. The research can provide references for academic research and engineering practice in the field of intelligent open-pit mining planning.