Two-stage optimization control method and system for user-centered heating ventilation air conditioning system

Abstract

The invention discloses a user-centered heating ventilation air conditioning system two-stage optimization control method and system, and relates to the field of building energy consumption control, and the method comprises the following steps: 1, building a second-order equivalent thermal parameter model, obtaining an online identification result of a model initial parameter through genetic algorithm iteration, and obtaining an initial prediction value result of an indoor temperature; 2, a Times Net model is established, an input and output feature set of the model is constructed, and a correction value result of the indoor temperature is obtained; 3, a fusion model is established, and accurate prediction of the indoor temperature is completed; step 4, realizing group-level regulation and control of indoor temperature based on model predictive control, and obtaining a temperature setting interval; and 5, realizing personalized regulation and control of the indoor temperature based on the deep Q network to obtain a temperature set value. The method has remarkable technical advantages in the aspects of modeling precision, control performance and response efficiency.

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