The invention provides a
sewage treatment
aeration control method and
system based on a deviation compensation
hybrid model, and relates to the technical field of intelligent optimization control of a
sewage treatment process, a mechanism model driving layer in the
hybrid model outputs a benchmark predicted value of
effluent quality, and a process deviation compensation layer performs uncertain quantitative
estimation on the benchmark predicted value, so that an
aeration control result is obtained. Performing process deviation compensation on the reference predicted value; establishing an
aeration optimization objective function by taking the minimum
aeration rate as an optimization objective, solving to obtain the optimal
aeration rate, outputting a
control signal to an
air blower according to the optimal
aeration rate so as to adjust the rotating speed of the
air blower or the opening degree of a valve, change the air supply rate to a reaction tank, and simultaneously, collecting inlet
water quality data and operation parameters of an
aeration system in real time; and updating the optimal aeration rate, and updating the
control signal to form a feedback
closed loop. Highly intelligent, stable, reliable, energy-saving and efficient aeration control can be realized, and the
sewage treatment
plant is ensured to stably realize that the
effluent quality reaches the standard and the
energy consumption is reduced to the greatest extent under complex working conditions.