With the increasing demand for high-quality office and learning environments, creating comfortable and energy-efficient indoor spaces has become a critical research focus. The innovative application of artificial intelligence technology in intelligent air conditioning control systems provides a new technical pathway to achieve this goal. This study proposes a non-intrusive intelligent air conditioning control method based on dynamic monitoring. The method innovatively integrates millimeter-wave radar sensing, Computational Fluid Dynamics (CFD), thermal comfort prediction, and fuzzy logic control technologies. Specifically, millimeter-wave radar is used to monitor key parameters such as the number of occupants, their spatial distribution, and activity types in real time; CFD constructs the indoor thermal environment field; the thermal comfort prediction model outputs the predicted thermal sensation values of the occupants; and the fuzzy logic controller generates optimal control strategies based on the above data to achieve intelligent regulation of air conditioning parameters. To validate the feasibility and effectiveness of the system, a simulation experiment was designed with three consecutive stages. The experimental results demonstrate that the system can effectively improve the thermal discomfort of indoor occupants, achieving a comfortable indoor environment within no more than two iterations of control adjustments in each stage. This study provides new technical support and theoretical foundations for the design of green and intelligent buildings, offering significant practical implications for advancing the development of intelligent building environments.