The invention discloses a
silicon steel annealing furnace air-fuel ratio dynamic optimization control method based on multi-mode
perception. The method comprises the steps that the
oxygen concentration and the
carbon monoxide concentration in
smoke, the uniformity standard deviation of a
hearth temperature field, the high calorific value of
fuel gas, the fuel volume flow and the
combustion-supporting
air volume flow are collected in real time; the current actual air-fuel ratio is calculated according to the flow data; the efficiency index and the state evaluation index of the current
combustion system are calculated in real time, dynamic optimization is carried out with the
maximum efficiency index and the minimum evaluation index as double targets, and an optimal excess air coefficient set value is solved; the optimal excess air coefficient set value is restrained and compensated; and a
combustion-supporting air flow set value is calculated, and a combustion-supporting
air door or an adjusting valve is controlled to act after fine adjustment, so that precise control is completed. According to the method, multi-mode sensing is combined with a dynamic optimization
algorithm, closed-
loop optimization control
over the air-fuel ratio is constructed, fine control
over the air-fuel ratio is achieved, the
response time is shortened, and efficiency and quality are both considered.