Neural network multi-terminal air valve control system and method based on simulation model

The invention provides a neural network multi-terminal air valve control system and method based on a simulation model, and relates to the technical field of air conditioning and ventilation energy-saving control. The neural network multi-terminal air valve control system comprises a control host, the control host is connected with a variable-frequency fan through a fan frequency controller, and the variable-frequency fan is connected with a plurality of variable- air-volume air valves; a plurality of variable-air-volume air valves are connected through a plurality of electric air valve actuators; the variable-air-volume air valves are connected with a plurality of air-conditioned rooms, and the air-conditioned rooms are provided with temperature sensors, temperature control panels and temporary air volume sensors and are connected to the control host; an air duct system simulation model and an optimization control program are stored in the control host, the air duct system simulation model provides training data for an air duct model learning module in the optimization control program, and the air duct model learning module performs training to obtain a neural network data model; and the neural network data model calculates the opening degree of each variable-air-volume air valve according to the data of each element, and controls the opening degrees of the multiple variable-air-volume air valves. According to the system and the method, the opening degree control precision of the multi-terminal variable-air-volume air valves is improved.