The invention relates to a case reasoning technology-based damping machine intelligent optimized control method, which is characterized in that: a moisture detection instrument is added to an inlet of a damping machine and is used for detecting the moisture content of tobacco leaves at the inlet of the damping machine a water charging coefficient is selected as a direct operating variable, water charging flow rate sprayed out by a steam-water combined nozzle in the damping machine is used as an indirect operation variable, and the moisture content of tobacco leaves at an outlet of the damping machine is used as a controlled variable whether the current production stage is a beginning stage, a normal production stage or an ending stage is judged according to tobacco leaves instantaneous flow rate, tobacco leaves accumulated flow rate and charging time information the water charging coefficient is preset according to the production stage and the tobacco leaves production technical condition information to obtain a water charging coefficient preset value a feedback compensation rule database is built according to the production technical requirement and an operating mode and the water charging coefficient preset value is compensated in a feedback way according to the feedback compensation rule database to obtain an optimized water charging coefficient setup value. The method overcomes the control difficulties such as tobacco leaves loosening damping process nonlinearity and large time delay.
