The super-gravity reactor is a typical process strengthening device to realize the super-gravity technology, and its high mass transfer efficiency can be applied to the preparation of Aviation materials. However, during the material preparation process, the material adhesion to the wire mesh filler leads to unbalanced vibration of the rotor mass, which seriously affects the mass transfer efficiency and long-period operation of the equipment, while the change of chemical reaction process parameters can delay the adhesion and reduce vibration. In this paper, a method for constructing a regulation model of important parameters during the operation of a super-gravity reactor was proposed. Through computational fluid dynamics simulation, the trend law of the influence of multi-parameter changes on target parameters was analyzed based on orthogonal experiments, the order of the degree of influence effects was obtained, and the key parameters for constructing the influence prediction model were determined. Through MATLAB data fitting, the early-warning and control model of important parameters in the operation of the hypergravity reactor was constructed. Taking the two target parameters of filling liquid holdup and gas phase pressure drop in a super-gravity reactor as examples, the degree of influence of multiple parameters on the two target parameters was calculated, and the early warning and control model of liquid holdup and gas phase pressure drop based on the coupling of key parameters was fitted to reveal the influence law of the changes of multiple parameters on the two target parameters. The early-warning control error probability was calculated, and the early-warning control model construction method of important parameters during operation of the super-gravity reactor was proposed. The application of the results will help to monitor and warn important process parameters, take effective measures in time when equipment anomalies are found, and reduce the vibration effect and the probability of material leakage.