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.
Constant temperature control system of building energy system
