The invention provides an intelligent adjustment method for distributed
air treatment equipment, and belongs to the technical field of
air treatment equipment, and the method comprises the steps: inputting a personnel distribution image into an
airflow field reconstruction model based on a graph neural network, outputting three-dimensional space flow field distribution data, calculating a personnel intensity index, and predicting an average
thermal sensation index value; an air supply adjustment double-layer game model is established based on the data, the air supply angle and the air supply speed of an electric side supply
nozzle and the air supply quantity of a lower air supply outlet are solved, an
actuator is controlled to adjust air supply parameters, and the target air outlet temperature and the
refrigerant flow of the
heat exchanger are calculated through a thermodynamic
entropy production minimization heat exchange optimization
algorithm; and feedback correction is performed according to the actually predicted average
thermal sensation index deviation to form closed-
loop control, so that the technical problem that the distributed
air treatment equipment is difficult to adjust the air supply parameters in real time according to the personnel distribution dynamic change so as to ensure the
thermal comfort and the energy efficiency at the same time is solved.