Aiming at the problems of high energy consumption，fast load changes，and untimely feedback control in hospital central air conditioning systems，a predictive control strategy based on the central air conditioning system model is proposed toreduce the energy consumption of the air conditioning system. Based on the air conditioning system model，considering the impact of indoor and outdoor environments and personnel on the central air conditioning system in hospitals，a multi-input， multi-output air conditioning system Model Predictive Control(MPC)strategy is designed to control the multi head system， taking into account equipment such as cooling sources and air conditioning fan coil units. Firstly，a central air conditioningsystem model of a certain hospital was established and the main energy consumption and operating characteristics of the airconditioning system are analyzed. Then，MPC is used to optimize the design of the air conditioning system. Finally，the air conditioning control strategy is verified to reduce energy consumption and achieve a certain comfort effect when operating undertypical loads. The proposed air conditioning control strategy is verified through simulation to effectively improve the energyefficiency ratio of the air conditioning system，reducing total energy consumption by 18.6% and increasing energy efficiency ratio by 22.3%. It meets the comfort needs of indoor personnel and has certain promotional significance.