Abstract：

Affected by the uneven distribution of the thermal environment caused by the dynamic change of personnel loads in public buildings, the thermal inertness of the building, and the indoor thermal and mass diffusion, the adjustment actions of air conditioning control systems is difficult to follow the zoning dynamic changes of indoor loads, and the room temperature response lags behind the adjustment actions of the air conditioning system, resulting in poor environmental quality regulation and energy waste. In response to this problem, this paper proposes a thermal uneven space temperature zoning compensation control method for visual dynamic estimation of personnel load. Firstly, the indoor personnel counting and positioning model is designed, and the computer vision method is used to obtain the personnel load and its spatial distribution in real time. Secondly, the master-slave compensation control strategy of zoning is designed, and the slave control module takes the output of the master control module as the input, and adopts open-loop control to regulate the air volume of each zone based on adjusting the total air volume in the building space, which improves the hysteresis of room temperature response. The master control module is composed of multiple zonal temperature control loops, and it estimates the trend of indoor temperature according to the personnel load change and improves the prediction ability of the required cooling supply through zonal compensation calculation. Finally, simulation experiments involving a small office building and a large activity center are carried out, and the results show that the proposed control method can maintain a comfortable zone environment while reducing energy consumption, and shorten the response time of the system.

Keywords:public building; personnel load estimation; computer vision; thermal uneven space; air conditioning system; zoning compensation control strategy