The application discloses a kind of wet
flue gas desulfurization
system and method of dynamic cooperation optimization of liquid-gas ratio and
calcium-
sulfur ratio, and relates to the field of
flue gas treatment technology.The
system includes gradient staggered
layout variable frequency spray layer, voiceprint monitoring array and central controller.The method includes: collecting full-dimensional working condition data and
slurry activity parameters;Using double-membrane theory mechanism model to calculate theoretical control instruction, and through residual compensation neural
network model to predict correction, generate final liquid-gas ratio and
calcium-
sulfur ratio instruction;Performing
time sequence decoupling control, preferentially adjusting liquid-gas ratio when inlet
sulfur dioxide surges, and delaying
calcium-sulfur ratio adjustment.The application also introduces dynamic pH setting based on
slurry supersaturation and full-
system heat balance energy-saving constraints, and realizes flow field self-
recovery compensation of
nozzle blockage through voiceprint
feature recognition.The application solves the problems of existing desulfurization system under working condition fluctuation, such as response
lag,
energy consumption redundancy and lack of equipment fault
perception, and realizes efficient, low-consumption and high-reliability cooperative control.