Abstract: In response to the current problems in the comprehensive management and control of intel⁃ ligent mines，such as the dispersion and fragmentation of multi-source data，and the reliance on manual experience for decision-making，which lead to low efficiency and insufficient accuracy，a data element�driven intelligent comprehensive management and control auxiliary decision-making system for mines has been constructed to enhance the scientific and intelligent levels of mine management and control. The re⁃ search utilizes data governance technology to integrate multi-source heterogeneous data such as mine pro⁃ duction，safety，equipment，and environment，develop a lake-warehouse integrated platform，and inte⁃ grate big data analysis，digital twin，GIS and other technologies，covering multi-dimensional decision�making models including risk early warning，production optimization，and equipment operation and main⁃ tenance. Based on the data-model-application architecture，an intelligent comprehensive management and control auxiliary decision-making system for mines was developed and applied in Jiangxi Dexing Copper Mine. The results show that the system has achieved full life cycle management of mine data，with an equipment failure prediction accuracy rate of 92%，production costs have been reduced by 4%，a 15% in⁃ crease in energy utilization rate，and a 20% improvement in overall operational efficiency. The in-depth empowerment of data elements can effectively break through the decision-making bottlenecks in the com⁃ prehensive management and control of intelligent mines，providing practical and feasible technical solu⁃ tions for the digital transformation of mines.

Key words: data elements, intelligent mines, comprehensive management and control, auxiliary deci?sion-making, data governance