The invention discloses a kitchen
smoke exhaust
space vector control and
airflow organization collaborative optimization management method and
system, and relates to the technical field of
data processing. According to the method, kitchen space topology is constructed, multiple sensors are deployed to collect oil
smoke concentration, temperature,
wind speed and equipment operation data, and a structured environment
tensor is generated through interpolation; solving a high-precision oil
smoke motion vector field, generating a dynamic
diffusion path, positioning an oil smoke core area, dynamically marking a personnel
risk area, and synthesizing a thermal plume main path; an LSTM model is adopted to predict equipment load and
fault probability, and a dynamic
power consumption strategy is generated; constructing a multi-objective function of
clearance rate,
energy consumption and comfort, outputting a
Pareto optimal solution set through a
genetic algorithm, and dynamically selecting a control scheme according to working conditions; and finally, an instruction is converted into coordinated action of air exhaust and air supplement,
energy consumption is reduced through PID real-
time parameter adjustment and closed-loop correction, and meanwhile the effects of improving the oil smoke removal efficiency and accurately controlling the air speed of a personnel area within a comfortable range are achieved.