During Rice wine fermentation,temperature object shows some characteristics such as large time delay,nonlinear and mutation. Besides,it is difficult to establish a clear mechanism model because of the unknown biochemical reaction mechanism. As a result,it is difficult to obtain satisfactory control effect using conventional control schemes. Thus this paper presents a fuzzy control strategy based on ant colony algorithm,which optimizes the quantization factors and scale factor of fuzzy algorithm to improve the accuracy and adaptive capacity of the fuzzy controller.Simulation results show that the the target technology curve can be better tracked using this algorithm due to its faster convergence and small overshoot.