Abstract: The intelligent construction of "one ventilation and three prevention" in mines faces problems in the four aspects of "man-machine-environment-management", including high professional thresholds, difficulties in digitizing expert experience, lagging warnings for multi-field coupled disaster chains, and "data islands" caused by multi-source heterogeneous data. Based on an analysis of the development of coal mine intelligence and the necessity of applying artificial intelligence technology for intelligent mine construction, this study explores the adaptability, potential advantages, and future development directions of DeepSeek in building the intelligent systems of "one ventilation and three prevention" in mines. With its characteristics of multimodal perception, dynamic data modeling, complex reasoning and early-warning decision-making, and long-context understanding and knowledge management, DeepSeek is highly compatible with the "perception-analysis-decision-execution" process in the intelligent construction of "one ventilation and three prevention", and shows excellent synergy in the integrated intelligent construction of the "man-machine-environment-management" mechanism. For example, it enables personnel to shift from experience-dependent work to data-driven work, optimizes efficient and low-consumption electromechanical operation and maintenance mechanisms, and enables the multi-factor environment of "underground technology-market-policy" to evolve from static monitoring to dynamic early warning. Ultimately, it helps build a proactive closed-loop intelligent management system for "one ventilation and three prevention" featuring "intelligent perception-data fusion-routine and emergency assessment-autonomous decision-making-precise execution-feedback optimization." Coal mine enterprises such as Shandong Energy Group, which have already connected the DeepSeek-R1 large model, report that information acquisition efficiency and collaboration/decision-making efficiency have improved by more than 80% and 20%, respectively. Meanwhile, this study analyzes three core challenges faced by DeepSeek in its application and promotion—AI hallucinations, lightweight on-premise deployment, and information security—with the aim of providing theoretical reference and solutions for the intelligent construction of "one ventilation and three prevention" in mines.