TY - JOUR
TI - Thermal energy constant temperature control system of building energy system based on dynamic analysis method
AU - Fu Hui
JN - Thermal Science
PY - 2021
VL - 25
IS - 4
SP - 2881
EP - 2888
PT - Article
AB - If the intelligent building's indoor environment's constant temperature is  accurately controlled, the comfort of the building can be improved. When we  perform constant temperature control, there will be large fluctuations in  the supply air temperature, which results in the traditional methods that  cannot control the temperature within a reasonable range. Therefore, the  paper proposes an optimal control method for the indoor environment constant  temperature of intelligent buildings. In the IoT environment, we integrate  the multi-agent technology to design the temperature fuzzy control  structure, determine the input and output variables of the intelligent  building temperature control system and its fuzzy set, use the dynamic  analysis method to modify the fuzzy rules, and integrate it with bilinear  The control algorithm builds a dynamic temperature control model for  intelligent buildings to maintain the indoor temperature at the set value  when the supply air temperature fluctuates significantly. This method makes  up for the shortcomings that the current system cannot adapt to the  intelligent building environment changes. The simulation results show that  compared with the traditional algorithm, the improved algorithm can  significantly improve the robustness of the intelligent building constant  temperature control, and the temperature control stability is vital.